Dr. Yogesh Malhotra: RESEARCH: Wall Street Quant: Big-3 Finance-IT Leader: Research Impact among Nobel Laureates: Princeton Quant Trading Presentations: Ventures:

[Digital Transformation Pioneer] [AI, Algorithms & Machine Learning] [Computational Quant Finance] [FinTech: 'Rethinking Finance'] [CyberSecurity Risk Engineering]

2015 & 2016 Princeton Quant Trading Conference: Sponsors: Goldman Sachs, Citadel, SIG, KCG Holdings.,

2008: AACSB: Model Risk Management Research Impact among Nobel Laureates such as Black-Scholes.

Research Impact Beyond 'Prediction' Future of Finance Beyond VaR Model Risk Management Future of Risk Cyber Risk SSRN Google Scholar Publications

Projects Goldman Sachs JP Morgan Wall Street Hedge Funds Princeton Presentations Model Risk Arbitrage Cyber Finance Cyber Risk Insurance Quantum Crypto

Bayesian vs. VaR Markov Chain Monte Carlo Wireless Mobile Trust Models VoIP Pen Testing Frameworks Bitcoin Cryptanalytics NFS Cryptanalytics Algorithms

Computational Quantitative Analytics-Finance-Risk Management Projects

2015-2017: 41 SSRN Top-10 Research Rankings: Top-10% SSRN Authors:

AI & Decision Modeling; Algorithms & Machine Learning:

SSRN Top-10 Research Ranking Categories:

• Capital Markets,

• Cognition in Mathematics, Science, & Technology,

• Computational Biology,

• Computational Techniques,

• Computing Technologies,

• Corporate Governance: Disclosure, Internal Control, & Risk-Management,

• Cyberlaw,

• Decision-Making under Risk & Uncertainty,

• Econometric & Statistical Methods,

• Econometric Modeling,

• Econometrics,

• Hedging & Derivatives,

• Information Systems & Economics,

• Interorganizational Networks & Organizational Behavior,

• Mathematical Methods & Programming,

• Microeconomics,

• Operations Research,

• Risk Management,

• Risk Management Controls,

• Risk Modeling,

• Social Network Analysis,

• Stochastic Models,

• Systemic Risk,

• Telecommunications & Network Models,

• Uncertainty & Risk Modeling,

• VaR Value-at-Risk.

Other Categories:

• Banking & Insurance

• Cultural Anthropology,

• Economics of Networks,

• Innovation Law & Policy,

• Mutual Funds, Hedge Funds, & Investment Industry,

• Sociology of Innovation

Recent Research Presentations and Research Reports

Princeton University Presentations on the Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance.

2016 Princeton Quant Trading Conference Invited Research Presentation: Beyond Stochastic Models to Non-Deterministic Methods.

2015 Princeton Quant Trading Conference Invited Research Presentation: Beyond Risk Modeling to Knightian Uncertainty Management.

Beyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed).

Markov Chain Monte Carlo Models, Gibbs Sampling, & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems.

Risk, Uncertainty, and Profit for the Cyber Era: 'Knight Reconsidered': Model Risk Management of Cyber Risk Insurance Models.

Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: ERM to Model Risk Management.

Number Field Sieve Cryptanalysis Algorithms for Most Efficient Prime Factorization on Composites: Beyond Shannon's Maxim.

Bitcoin Protocol & Bitcoin Block Chain: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System.

2015-2016 40 SSRN Top-10 Research Rankings for Computational Quantitative & Risk Analytics Algorithms Machine Learning Research.

2008 AACSB International Impact of Research Report: Named among Black-Scholes, Markowitz, Sharpe, Modigliani & Miller

Top Wall Street Investment Banks Quantitative Finance Projects & FinTech Ventures

• Princeton: Future of Finance: 'Rethinking Finance' for Era of Global Networked Digital Finance

• 2016 Princeton Quant Trading Conference: Invited Research Presentation: Model Risk Arbitrage

• 2015 Princeton Quant Trading Conference: Invited Research Presentations: Future of Finance

• Quantitative Finance Risk Analytics Modeling Wall Street Investment Banks & VC Projects

• Model Risk Management: Risk Management Analytics from 'Prediction' to 'Anticipation of Risk'

• Quantitative Finance Risk Analytics, Econometric Analytics, Numerical Programming Models

• Quantitative Finance Model Risk Management for Systemic-Tail Risks in Cyber Risk Insurance

• JP Morgan Portfolio Optimization, VaR & Stress Testing: 17-Asset Class Portfolio

• JP Morgan Portfolio Liquidity Risk Modeling Framework for $500-600Bn Portfolio

• Bayesian VaR Beyond Value-At-Risk (VaR) Model Risks Exposed by Global Financial Crisis

• Goldman Sachs Alumnus Asset Manager Large-Scale Data High Freq Econometric Models

• Quantitative Finance, Risk Modeling, Econometric Modeling, Numerical Programming

• Technologies of Computational Quantitative Finance & Risk Analytics and Risk Management

• Algorithms & Computational Finance: C++, SAS, Java, Machine Learning, Signal Processing

• Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing

• Quantitative Finance, Quantitative Risk Analytics & Risk Management Projects Impact

• Digital Social Enterprise Ventures Creating Trillion $ Practices for Hundreds of Millions

Named among FinTech Finance & IT Nobel laureates for Real World Impact of Research

• FinTech Innovations: Model Risk Arbitrage, Open Systems Finance, Cyber Finance, Cyber Insurance

• AACSB International Reports Impact of Research among Black-Scholes, Markowitz, Sharpe

• Research Impact Recognized among Finance & Information Technology Nobel laureates

• 40 SSRN Top-10 Rankings: Computational Quant Analytics: Algorithms, Methods & Models

• FinTech Innovations: Model Risk Arbitrage, Cyber Finance, Cyber Risk Insurance Modeling

• Computational Quantitative Finance Modeling & Risk Management Research Publications

• Model Risk Management of Cyber Risk Insurance Models & Quantitative Finance Analytics

• Thesis on Ongoing Convergence of Financial Risk Management & Cyber Risk Management

• U.S. Federal Reserve & Office of the Comptroller of the Currency Model Risk Guidance

• Bayesian VaR Beyond Value-At-Risk (VaR) Model Risks Exposed by Global Financial Crisis

• Markov Chain Monte Carlo Models & Algorithms to Enable Bayesian Inference Modeling

• OCC Notes Cybersecurity Risk & Cyber Attacks as Key Contributor to Banks' Financial Risk

• Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation

• Models Validation Expert Panels: IT, Operations Research, Economics, Computer Science

Global, National, & Enterprise CxO Level FinTech-Cyber-Risk Analytics Ventures

• CxO Think Tank that pioneered 'Digital' Management of Risk, Uncertainty, & Complexity

• CxO Consulting: Global, National & Corporate Risk Management Practices Leadership

• CxO Guidance: Cyber Defense & Finance-IT-Risk Management: Uncertainty & Risk

• CxO Keynotes: Conference Board, Silicon Valley, UN, World Economy: Uncertainty & Risk

• The Future of Finance Project Leading Quantitative Finance Practices at Elite Conferences

• The Griffiss Cyberspace Cybersecurity Venture Spans Wall Street and Hi-Tech Research

• UN Quantitative Economics Expert Paper & Keynote on Global Economists Expert Panel

• National Science Foundation Cybersecurity & Cybercomputing National Expert Panels

• Digital Social Enterprise Innovation Ventures Pioneering the Future of Risk and Quant

• Global Footprint of Worldwide World-Leading CxO Risk Management Ventures & Practices

JP Morgan Private Bank, Goldman Sachs Alumnus' Asset Manager & Venture Capital

Econometric Modeling, Quantitative Finance, Quantitative Risk Modeling

Wall Street Investment Banks & Venture Capital Projects on Quantitative Finance & Risk Modeling

Technologies & Frameworks Applied

Quantitative Finance, Quantitative Analytics, Econometric Modeling, Data Science, Market Risk,

Credit Risk, Liquidity Risk, Financial Modeling, Risk Management, Stress Testing, Portfolio

Optimization, Derivatives, SAS, SQL, MATLAB, C++, Microsoft Excel, VBA, R, Python, Bloomberg,

Financial Risk, Model Risk, Portfolio Management, Hedge Funds, Financial Econometrics, Algorithms,

Machine Learning, Predictive Analytics, Statistical Modeling, Data Modeling, Software Engineering,

Statistics, Interest Rate Derivatives, Fixed Income, Equities, Trading Strategies, MS Access, Stochastic

Modeling, Market Microstructure, Investment Management, Asset Liability Management, Data Mining,

Structural Equation Modeling, Quantitative Models, Operations Research, Computer Science, Financial

Accounting, Financial Statement Auditing,Optimization.

Mentors:Top Quantitative Finance Economists & Econometricians, Fordham.

Computational Quantitative Finance & Risk Modeling, Advanced Financial EconometricsEconomic Capital, Capital Adequacy, Basel/US Federal Reserve/OCC Frameworks & Regulations, Portfolio Risk, Liquidity Risk, Credit Risk, Market Risk, Econometric Analysis, Market Microstructure, Interest Rate Derivatives, Stochastic Volatility, Fixed Income, Equity, Derivatives (Options, Futures, Forwards, Swaps, Swaptions)

Credit Risk Models

Credit Default Swaps, Default Probabilities, Gaussian Copula, Nth to Default Swaps, Simulations, Large Portfolio Approximation, CreditMetrics, KMV, VaR, Expected Default Frequency (EDF), Counterparty Risk, Credit Valuation Adjustment (CVA), Stress Testing, Basel II/III, Worst Case Default Rate (WCDR), Exposure at Default (EAD), Loss Given Default (LGD), Probability of Default (PD), Risk Weighted Assets (RWA)

Market Risk Models

Volatility Modeling, GARCH/Extensions, MLE, Variance/Correlation Models, Portfolio VaR, QMLE, Non-Normality, Cornish-Fisher, Extreme Value Theory (EVT), Expected Shortfall (ES), Coherent/Spectral Risk Measures, Weighted/Filtered/Historical Simulation, Monte Carlo, Backtesting VaRs/ES, Stress Testing, Basel II/III

Interest Rate Derivatives Models

Simulations, Analytic Expectation, Tree Models, Calibrations; Continuous Time, CIR,Vasicek, Merton, Hull-White, BDT, & HJM Models; Bond Options, Treasuries, Coupon Bonds, Caplets, Floorlets, Swap Contracts, Bond Risk Premia, Yield Curve, Markov Regime Switching Models

Equity PortfolioModelsDerivatives, Mean-Variance Portfolios, CAPM, Passive/Active Portfolio Performance, Multi-Factor Models, Cross-Sectional Returns, Asset Allocation, Risky/Risk-Free Portfolios, Diversification, Risk Pooling, CAPM, Anomalies, Dividend Discount/Growth Models

Fixed Income PortfolioModelsBond Valuations, Derivatives, Yields, Term Structure, Credit Spread, Credit Risky Bonds, Interest Rate Risk, Portfolio Performance, Passive/Active/Liability Funding, Hedging, Swaps, Forwards, Futures, ABS, MBS.

JP Morgan Private Bank $500-$600 Billion Multi-Asset Class Portfolio Construction & Optimization Leadership

Portfolio Construction & OptimizationFramework Development for Liquidity Assessment

JP Morgan (JPM) Hands-On Team Leadership Projects, Midtown Manhattan, New YorkMentor: Dr. Georgiy Zhikharev, JPM Global Head of Quantitative Research & Analytics,

JPM US Head of Portfolio Construction. JPM Top-4 Risk Managers in Harvard Case.

JP Morgan Portfolio Construction, Optimization & Stress Testing Leader

17-Asset Portfolio Liquidity Assessment & Stress Testing Research & Analysis

Technical Framework & Project Management Foundation:

Exhaustive Review of Recent 25-Years of Liquidity Measurement Research in Research, Policy, and Practice:

Technical Liquidity Risk Models, Methods, & Measures Research: ~5,000 documents ~ 60,000 pages

Research Presentations: Weekly: 225 slides, Final Executive Summary Overview: 5 slides.

MS-Excel/VBA/MATLAB Models for 17-Asset Portfolio Liquidity Assessment & Stress Testing

~ 250 MS-Excel /VBA Linked Worksheets within Aggregate Porfolio and Specific Asset Class Workbooks.

MATLAB Code and Execution Outputs for Stress Testing Portfolio of 17 Asset Classes: 74-pages.Portfolio Assets Modeled: 17 Asset Classes:

JP Morgan Portfolio Liquidity Assessment Framework Development Leader

Hedge Funds (HF), Alternative Investments, Equities, Commodities, Fixed Income, Bonds, Currencies:

Developed Large Equity

Developed Small Equity

Emerging Equity

Unlisted Equity

Various Commodities

Government BondsInvestment Grade Bonds

Inflation-Linked Bonds

High Yield Corporate Bonds

Emerging Market Hard Currency Bonds

Emerging Market Local Currency Bonds

Major Currencies

Statistical Arbitrage Hedge Fund

Equity Hedge Hedge Fund

Merger Arbitrage Hedge Fund

Macro Hedge Fund

Relative Value Hedge FundAsset Pricing, Risk Management, Stress Testing, Liquidity Risk, Market Risk, Credit Risk, ALM Risk, Portfolio Risk,

Investment Risk, Non-Normality, Non-Linearity.

Mentor: JPM Top-4 Leadership ED in Global Financial Crisis Management, Harvard Case.

Led quantitative portfolio liquidity modeling for multiple financial asset classes.

Led literature review of all liquidity risk models, methods, and measures.

Led project management & scheduling and delivering high quality results on time.

Led interpretations of all outcomes & findings to ED team of Quants, CIO, MDs, PMs..

Assets: alternatives, HF, equities, commodities, fixed income, bonds, currencies.

Analyzed market risk, credit risk, ALM risk, portfolio risk, investment risk.

Led modeling and stress-testing for all asset classes and composite portfolio.

Led validation of all liquidity and liquidity risk models and measures.

Led verification of model performance, limiting behaviors, responses to stress.

Led modeling of pricing & risk measurement with specific focus on liquidity.

Led evaluation of third-party models, data, software for diverse asset classes.

Led inventorying of model assumptions and assessment of model risks for all assets.

Modeled historical simulation, parametric & modified VaR, expected shortfall.

Modeled and analyzed multi-asset volatility, variances & correlations, GARCH, MLE.

Modeled VaR, QMLE, non-normality, Cornish-Fisher, EVT stochastic models for assets.

Modeled and analyzed liquidity risk models for all assets and portfolio optimization.

Identified & defined benchmark indices & data sources for all asset classes.

Assessed soundness of liquidity & liquidity risk models for assets & portfolio.

Presentation to JP Morgan MDs/EDs, JP Morgan, 270 Park Ave., New York

JP Morgan Bank Portfolio Construction & Optimization Liquidity Assessment Framework

Guidance to JP Morgan Managing Directors/Executive Directors/Portfolio ManagersAxioms of Coherency and Convexity of Risk Measures

Exponential and Power Utility Functions for Spectral Risk Measures

Why Gaussian Risk Measures Fail and Where Regulation is Headed Next

Liquidity Measure for Illiquid Assets Solves Material Error in Liquidity Measures

Measuring Liquidity As Shadow Cost For Hedge Fund Indexes

Structuring and Pricing of Liquidity Options Hedge Funds for Price Discovery

Devising and Testing Liquidity Measures for Spreads of CDS Contracts

Liquifiability Index as What You May See in Basel Next

Modeling Measuring and Testing Liquidity Risk Across All Asset Classes

Goldman Sachs Alumnus' $400 Billion Asset Management Firm

Hedge Fund Large Scale Data High Frequency Econometric Modeling Project Leadership

High Frequency Econometric Modeling of Market Microstructure Liquidity & Price Impact

Hedge Fund Performance Analysis of 400 Trading Strategies for Alpha and Risk

Goldman Sachs Alumnus' Firm Hands-On Team Leadership Projects, Midtown Manhattan, New York

Wall Street SVP Hedge Fund Manager with Top Wall Street Investment Banks:Mentor:

Harvard Computer Scientist & Mathematician Alumnus Wall Street Hedge Fund SVP/PM.

Goldman Sachs Alumnus' $400 Billion+ Asset Management Firm

Firm: Top Wall Street Investment Bank launched by a Goldman Sachs alumnus with $400 billion to $500 billion AUM at the time of the project.

ofProject Management and Technical Team Leadership

SAS High Frequency Econometric ModelingMarket Microstructure of Liquidity

High Frequency Econometrics Models of Trade Price Impact & Market Microstructure.

Researched Co-Integrated Time Series for Ultra-High Frequency Tick-and-Quote (TAQ) Data.

Replicated /Analyzed Large Scale Data HF Econometrics Models of Market Microstructure.

Taught VARMAX Models of Co-Integrated Time Series for High Frequency Econometrics.

Analysis of 400 SSA Quarterly Scan Trading Strategies for Alpha and Hedging

Hedge Fund Performance Analysis Quantitative Finance & Quantitative Risk Modeling Research

Analyzed 400 State Street Associates Quarterly Scan Alpha Trading Strategies.

Critical Review of State Street Associates Quarterly Scan Trading Strategies.

Analysis: Why Existing `Alpha´ Research Is Insufficient for Profitable Hedge Fund Asset Management.

Sample of Quantitative Risk Modeling, Quantitative Finance & Econometric Modeling ResearchOther Quantitative Risk Modeling, Quantitative Finance & Econometric Modeling Projects

Sample of SSA Quarterly Scan Finance and Economics Studies Reviewed for Goldman Sachs Alumnus' Asset Manager Project.

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AFAForeign Exchange Risk Premia and Macroeconomic Announcements: Evidence from Overnight Currency Options - Grad

The dynamic relation between CDS markets and the VIX index - Figuerola-Ferretti, Paraskevopoulos

A Different Way of Exploring Value versus Growth - Branch, Qiu

Value and Momentum in Frontier Emerging Markets - Swinkels, Pang, Groot

Feasible momentum strategies in the US stock market - Ammann, Moellenbeck, Schmid

Gradual Diffusion of Upstream and Downstream Earnings News - Implications for Stock Prices - Chen

Creative Destruction and Asset Prices - Jank, Gramming

Is Contrarian Investment Performance Conditional Upon Relative Price Levels? - Wu, Li, Hamill

If it's good for the firm, it's good for me: Insider trading and repurchases motivated by undervaluation - Jalegaonkar

Does Investor Relations Add Value - Agarwal, Bellotti, Taffler

Spot and forward volatility in foreign exchange - Della Corte, Sarno, Tsiakas

An investigation of customer order flow in the foreign exchange market - Cerrato, Sarantis, Saunders

Active Currency Investing and Performance Benchmarks - Melvin, Shand

Volatility Term Structure and Option Returns - Vasquez

Persistence of derivative returns through the financial crisis - Onn and Sinnakkannu

Black Swans, Beta, Risk, and Return - Estrada and Vargaas

Can exchange traded funds be used to exploit country and industry momentum - Andreu, Swinkels,

Crash worries and stock returns - Baltussen

Another Look at Trading Costs And Short-Term Reversal Profits - De, Huij, Zhou

Does the market know better? The case of strategic vs. non-strategic bankruptcies - Coelho, John, and Taffler

Explaining Stock Returns with Intraday Jumps - Amaya and Vasquez

Geographic Dispersion and Stock Returns - Garcia and Norli

Prior Earnings, Dividend-Reducing Announcement Returns and Future Earnings Performance - Asern

The Relative Leverage Premium - Ippolito, Steri, and Tebaldi

A New Anomaly: The Cross-Sectional Profitability of Technical Anlaysis - Han, Yang, Zhou

As Told by The Supplier: Trade Credit and The Cross Section of Stock Returns

The effect of the US holidays on the European markets, When the cat's away - Muga, Casado, Santamaria

Search Frictions and the Liquidity of Large Blocks of Shares - Schroth and Albuquerque

Economic Risk Premia in the Fixed Income Markets - Balduzzi and Moneta

Why Does Treasury Issue TIPS? The TIPS - Treasury Bond Puzzle - Lustig, Longstaff, Fleckenstein

Know When to Hold 'Em, and Know When to Fold 'Em: The Success of Frequent Hedge Fund Activists - Boyson and Mooradian

Volatility Term Structure and the Cross-Section of Option Returns

Do Firms Buy Their Stock at Bargain Prices? Evidence from Actual Stock Repurchase Disclosures

Do Mutual Fund Managers Trade on Stock Intrinsic Values?

As Told by The Supplier: Trade Credit and The Cross Section of Stock Returns

How does Portfolio Disclosure affect Institutional Trading? Evidence from their Daily Trades -Wang

Buy High and Sell Low - Wang

Capital Utilization and Stock Returns - Balvers, Gu, and Huang

Investor Sentiment, Risk Factor and Asset Pricing Anomalies - Ho and Hung

IQCAPM: Asset Pricing with Information Quality Risk - Jacoby, Lee, Paseka & Wang

Post Earnings Announcement Drift and Value-Glamour Anomaly - Yan and Zhao

Profitable Mean Reversion after Large Price Drops - Dunis, Laws, and Rudy

New Evidence on the Relation between the Enterprise Multiple and Average Stock Returns - Loughran and Wellman

Variance Risk Premium and Cross-Section of Stock Returns: Han and Zhou

Contrarian and Momentum Strategies: The Impact of the Business Cycle - Filbeck, Li, and Zhao

Crash Worries and Stock Returns - Baltussen

Acquisitions of Foreign Divested Assets - Ngo and Jory

Streaks in Earnings Surprises and the Cross-Section of Stock Returns - Loh and Warachka

Bond Variance Risk Premia - Mueller, Vedolin, and Yen

Short and Long Slopes of Yield Curves Have Different Economic and Asset Pricing Implications - Lee

Cross-Section of Option Returns and Idiosyncratic Stock Volatility – Cao and Han

On the Timing and Pricing of Dividends - Van Binsbergen, Brandt and Koijen

Global Tactical Sector Allocation: A Quantitative Approach: Doeswijk, Van Vliet

Is Momentum Really Momentum?: Novy-Marx

How does Portfolio Disclosure affect Institutional Trading? Evidence from their Daily Trades -Wang

Information Content When Mutual Funds Deviate from Benchmarks: Jiang, Verbeek, and Wang

The Baltic Dry Index as a Predictor of Global Stock Returns, Commodity Returns, and Global Economic Activity: Bakshi, Panayotov, and Skoulakis

The Share of Systematic Variation in Bilateral Exchange Rates: Verdelhan

Can Oil Prices Forecast Exchange Rates?: Ferraro, Domenico, Rossi, Barbara and Rogoff

Carry Strategies in Global Asset Classes: Koijen, Tobias Moskowitz, Lasse H. Pedersen, Evert

International Diversification: An Extreme Value Approach: Cholette et al.

A Simple Way to Estimate Bid-Ask Spreads from Daily High and Low Prices: Corwin and Schultz

Are Mutual Funds Sitting Ducks?: Shive, Sophie and Yun, Hayong

The Road Less Traveled: Strategy Distinctiveness and Hedge Fund Performance: Sun et al.

Uncovering Hedge Fund Skill from the Portfolio Holdings They Hide, Agarwal et al.Goldman Sachs Alumnus' $400 Billion Asset Manager Hands-On Team Leadership Project

• Quantitative Finance & Risk Modeling, Econometric Modeling, & Numerical Programming Projects, 2009-Current

39 SSRN Top-10 Research Rankings:

Computational Quant Analytics, Machine Learning, AI & Modeling,Financial Econometrics, & Risk Analytics, 2015-2016

Computational Mathematical Models & Quantitative Methods for Uncertainty & Risk Management,

Quantitative Finance, Asset Valuation, Risk Arbitrage, Trading & Hedging Strategies.

Hands-On Technologies: MATLAB, SAS, C++, MS-Excel, VBA, Bloomberg, NYSE-TAQ, Time Series Analysis, Neural Networks, Web Analytics

- Princeton Quant Trading Conference 2015 (April 04, 2015), Princeton University: Knight Reconsidered:

'Future of Finance Beyond Flash Boys': Risk Modeling for Managing Uncertainty in an Increasingly Non-Deterministic Cyber World

(Invited Research Presentation on Post-HFT Finance and Risk Models & Methodologies)

- Risk, Uncertainty, and Profit for the Cyber Era: Model Risk Management of Cyber Insurance Models Using Quantitative Finance and Advanced Analytics

- Beyond ‘Bayesian vs. VaR’ Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed).

- Markov Chain Monte Carlo Models, Gibbs Sampling & Metropolis Algorithm for High-Dimensionality Complex Stochastic Problems.

- Quantitative Modeling of Trust and Trust Management Protocols in Next Generation Social Networks Based Wireless Mobile Ad Hoc Networks.

- A Risk Management Framework for Penetration Testing of Global Banking & Finance Networks Voice over Internet Protocols.

- Cryptology beyond Shannon’s Information Theory: Technical Focuson Number Field Sieve Cryptanalysis Algorithms for Prime Factorization.

- A Framework for Penetration Testing & Security of Network Protocols for Global Banking & Finance Call Centers.
- Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Global Financial Regulation (Interview: Hong Kong Institute of CPAs).
- Bitcoin Protocol: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System.
- Quantum Computing, Quantum Cryptography, Shannon's Entropy and Next Generation Encryption & Decryption.
- Cryptology Beyond Shannon's Information Theory: Preparing for When the 'Enemy Knows the System'.
- C++11 Concurrency and Multithreading Programming Logic for High Frequency Trading and Hedge Funds.
- Measuring & Managing Financial Risks with Improved Alternatives beyond Value-At-Risk (VaR).
- VLANs Implementation, inter-VLAN Routing & VLAN Trunking Protocol using Cisco Network Security Best Practices (Cisco VLANs).
- Network Intrusion Detection and Prevention & Active Response: Frameworks, Systems, Methods, Tools & Policies (Cisco IDS/IPS).
- Analysis of Attack Trees for Mitigating Cybersecurity Attacks on Global Banking & Finance and SCADA Systems.
- Analysis of FIX and FAST as Financial Securities Trading and Transactions Messaging Network Protocols.
- Threats and Vulnerabilities: A First 'Appetizer' to Cybersecurity: 15 Minutes to Minimizing 95% Threats.
- C++ Options & Financial Derivatives Pricing Algorithms and Quantitative Finance Design Patterns.
- Adaptive Neuro-Fuzzy Inference System Models for Forecasting Nonlinear Chaotic Time Series Signals.
- Machine Learning & Java Neural Networks Algorithms for Non-Linear & Non-Normal Signal Processing of Financial Time Series.
- A Probabilistic Mathematical Analysis Model of the Financial Market as a Bayesian Learner.
- Algorithm Models of Social Networks, Graph Theory, Game Theory & Nash Equilibrium.
- Vector Autoregressive Models of Market Microstructure for Analyzing High Frequency Econometric Time Series.
- Empirical Replication of Yield Curve Decomposition Models (Based on Cochrane and Piazzesi study, 2008).
- Empirical Replication of Ho Lee Merton Short Rate and Term Structure Models for Bond Options Pricing.
- Empirical Calibrations of Hull White Model and Merton Tree Model for Modeling Interest Rates and Bond Prices.
- Empirical Models of Monetary Neutrality, Real Income Growth, Nominal Income Growth, and Inflation.
- Empirical Models of Purchasing Power Parity and Fisher Equation for Prices, Interest Rates, and Exchange Rates.
- Empirical Replication of JP Morgan Credit Default Swaps (CDS) Models for CDS Mark to Market Valuations.
- Empirical Replication of Merton's Model of Default Probabilities with Debt as an Option on Firm Assets.
- Empirical Replication of the Gaussian Copula Model for Time to Default for Four Different Firms.
- Empirical Replication of the Nth to Default Swap Pricing Model for Risk Pooling Strategy for Risky Bonds.
- Empirical Replication of Merrill Lynch Gaussian Copula Model for Nth to Default Swap Pricing over Multiple Periods.
- Empirical and Simulation Models of Large Portfolio Approximation (LPA) of Credit Default Probabilities.
- Worst Case Default Rates (WCDR) and VaR Models for Bank Loans Based Upon Gaussian Copula Correlations.
- WCDR and Risk Weighted Assets (RWA) Models for Bank Loans Given Probability of Default (PD) and Loss Given Default (LGD).
- CreditMetrics Methodology Models and Simulation for Assessing Credit VaR & Economic Capital for a Bond Portfolio.
- Moody's KMV Model for Distance-to-Default, Expected Default Frequency (EDF) and CDS Fair Value Spreads Estimation.
- Counterparty Default Risk Models for Semi-Annual and Annual Forward Rate Contracts for Currency Swaps.
- Bank's Credit Derivative Valuation Models of Ratings Transition Matrices, Real and Risk Neutral Default Probabilities.
- Monte Carlo Simulation and Option Pricing in C++: A Monte Carlo Pricer for Path Dependent Financial Options.
- Maximum Likelihood Estimation of GARCH Models for Empirical Analysis of Asset Prices and Returns Time Series.
- Maximum Likelihood Estimation of Cox-Ingersoll-Ross Model for Empirical Analysis of Federal Interest Rates.
- Maximum Likelihood Estimation of 2-regime Markov Regime Switching Model for Empirical Analysis of Federal Interest Rates.
- Econometric Analysis and Volatility Modeling Using GARCH and VaR for Stock, Index, and Commodity Time Series.
- VaR Modeling with Monte Carlo and Historical Simulation (HS), Weighted HS, and Filtered HS for Multiple Time Series.
- Back Testing Model Comparisons of Unconditional and Conditional VaR Models for Multiple Financial Time Series.
- Black-Scholes Model Based Monte Carlo Engine for Derivatives Pricing of Exotic Options in C++.
- Jump Diffusion Analysis of Option Price Sensitivity to Simulations in Comparison of Black‐Scholes and Monte Carlo Models.
- A Comparison of CAPM, Constrained Portfolio Optimization, MACD, and Black Litterman Model Portfolio Optimization Strategies.
- Empirical Models of ARCH/GARCH Volatility and Black-Scholes Simulations for Pricing Vanilla and Barrier Options.
- Transient Directional Volatility Arbitrage & Volatility Neutralizing Hedging Strategies for Portfolio Management.
- Volatility Trading and Volatility Markets Using VIX, VIX Futures, VIX Options, and VIX Term Structure Models.
- Financial Statements Analysis Models of Constant Growth HPR, Steady State Dividend Growth, FCF and Abnormal Earnings.
- Investment Strategy Portfolio Simulations and Comparative Volatility of Investment Portfolio and Market Porfolio Models.
- Financial Asset Valuation Models in Corporate IPOs, Bankruptcies, Liquidations, Restructurings, Mergers and Acquisitions.
- Fundamental Shifts in Financial and Accounting Risk Management Pertaining to Global Finance and Capital Markets.
- Fundamental Shifts in Efficient Markets Hypothesis, 'New Normal' Outside +/- 3-Sigma, and Market Microstructure.
- Accounting Measurement and Reporting for Fair Value Accounting and 'Mark-to-Market' Transactions and Events.
- Advanced Financial Auditing of Simulated Corporation Financial Statements Using ACL for Auditing and Compliance.
- Financial Auditing & Assurance Simulation Using ACL for Risk Assessment of Firm's Enterprise Business Processes.
- Assessing Financial Audit Risk of Big-4 Firm's Proposed Audit Client Acquisition of Oracle Corporation on Sun Acquisition.
- FASB-IASB Convergence of US GAAP and IFRS Asset Fair Value Measurement Standards Based Upon SFAS 157.
- Forensic Accounting & Analysis of Financial Statements of Goldman Sachs, Morgan Stanley, and Berkshire Hathaway.
- Financial Accounting Analysis of Statutory Merger of Burlington Northern Santa Fe Corporation in Berkshire Hathaway Inc.

•

Discrete, Continuous & Stochastic Time Series Signal Processing Finance & Risk ModelsEconomic Capital, Capital Adequacy, Basel/US Federal Reserve/OCC Frameworks & Regulations, Portfolio Risk, Liquidity Risk, Credit Risk, Market Risk, Econometric Analysis, Market Microstructure, Interest Rate Derivatives, Stochastic Volatility, Fixed Income, Equity, Derivatives (Options, Futures, Forwards, Swaps, Swaptions)

Credit Risk Models

Credit Default Swaps, Default Probabilities, Gaussian Copula, Nth to Default Swaps, Simulations, Large Portfolio Approximation, CreditMetrics, KMV, VaR, Expected Default Frequency (EDF), Counterparty Risk, Credit Valuation Adjustment (CVA), Stress Testing, Basel II/III, Worst Case Default Rate (WCDR), Exposure at Default (EAD), Loss Given Default (LGD), Probability of Default (PD), Risk Weighted Assets (RWA)

Market Risk Models

Volatility Modeling, GARCH/Extensions, MLE, Variance/Correlation Models, Portfolio VaR, QMLE, Non-Normality, Cornish-Fisher, Extreme Value Theory (EVT), Expected Shortfall (ES), Coherent/Spectral Risk Measures, Weighted/Filtered/Historical Simulation, Monte Carlo, Backtesting VaRs/ES, Stress Testing, Basel II/III

Interest Rate Derivatives Models

Simulations, Analytic Expectation, Tree Models, Calibrations; Continuous Time, CIR,Vasicek, Merton, Hull-White, BDT, & HJM Models; Bond Options, Treasuries, Coupon Bonds, Caplets, Floorlets, Swap Contracts, Bond Risk Premia, Yield Curve, Markov Regime Switching Models

Equity PortfolioModelsDerivatives, Mean-Variance Portfolios, CAPM, Passive/Active Portfolio Performance, Multi-Factor Models, Cross-Sectional Returns, Asset Allocation, Risky/Risk-Free Portfolios, Diversification, Risk Pooling, CAPM, Anomalies, Dividend Discount/Growth Models

Fixed Income PortfolioModelsBond Valuations, Derivatives, Yields, Term Structure, Credit Spread, Credit Risky Bonds, Interest Rate Risk, Portfolio Performance, Passive/Active/Liability Funding, Hedging, Swaps, Forwards, Futures, ABS, MBS.

•

Technologies of Computational Quantitative Modeling, Quantitative Finance & Risk ManagementAlgorithms: Graph Theory, Dynamic & Linear Programming, Computational Complexity

Algorithms: Social Networks Analysis, Game Theory, Nash Equilibrium, Financial Markets

Algorithms: Mathematical Models of Automata, Computability & Formal Languages

Algorithms: Computational Mathematical Models of Cryptography & Encryption Protocols

Advanced Statistical Models & Machine Learning Numerical Methods for Large Data Frameworks

Bayesian Inference & Markov Chain Monte Carlo Models for High-Dimensional Stochastics

C++11 Concurrency & Multi-threading, Machine Learning, & Java Neural Network Models

C++ Mathematical Finance Derivatives Pricing & Software Engineering Algorithms

C++ Design Patterns Financial Programming for Derivatives & Options Pricing

C++ Financial Programming for Quantitative Finance Models & Applications

C++ Programming for Financial Engineers Course, University of California Berkeley

Cybersecurity-Signal Processing: Cryptography, Finance Protocols, Information Assurance

Network Penetration Testing & Protocols Analyses: Metasploit Pro, Nmap, Wireshark, etc.

Network Security: CCNA Security, ICND1, ICND2; Network Intrusion Detection & Prevention

Statistics for Financial Engineers Course, University of California Berkeley

Math Foundations for Financial Engineers Course, University of California Berkeley

MATLAB Advanced Financial Econometrics Markov Chain & Monte Carlo Models

MATLAB Market Risk, Credit Risk, Volatility, VaR, ARCH, GARCH, EVT, ES Models

MATLAB/MS-Excel/C++ Credit Risk Management & Credit Risk Derivatives Models

MATLAB Stocks and Equity Portfolio Management & Equity Derivatives Models

MATLAB Continuous Time Interest Rates, Yield Curve, Fixed Income Derivatives Models

MATLAB Stochastic Numerical Methods & Mathematics for Quantitative Finance

MATLAB Artificial Intelligence-Machine Learning-Fuzzy Logic-Chaotic Time Series Models

MATLAB Advanced Statistical, Financial Econometrics & Optimization Models

MATLAB Advanced Finance Portfolio Theory, CAPM & APT Matrix Algebra Models

MS-Excel Market Risk, Credit Risk, Volatility, VaR, ARCH, GARCH, EVT, ES Models

MS-Excel/VBA Hedge Fund Statistical Risk/Returns, Asset Pricing, Market Risk Models

MS-Excel/VBA Fixed Income Portfolio Management & Fixed Income Derivatives Models

MS-Excel/VBA Advanced Quantitative Models of Utility Theory & Portfolio Management

MS-Excel/VBA Advanced Statistical, Financial Econometrics & Optimization Models

MS-Excel/VBA/ACL Advanced Financial Accounting & Financial Auditing Models

MS-Excel/VBA/Solver/Macros for Operations Research & Network Programming Models

MS-Excel/VBA/Solver/Macros for Finance, Investments, Accounting Decision Models

SAS Advanced Programming, SAS SQL Processing & SAS Macro Programming Courses

SAS Large Scale Data Models of High-Frequency Econometrics & Market Microstructure

SAS Advanced Quantitative Models of Macroeconomics & Microeconomics Analysis

SAS/SPSS Statistical Analysis of Variance (ANOVA) & Co-Variance (ANCOVA) Models

SAS/SPSS Applied Multivariate Analysis & Applied Regression Analysis Models

SAS/SPSS Correlation, Multivariate Regression & Inferential Statistics Models

SAS/SPSS Quantitative Statistical Structural Equation Models in Behavioral Science

SAS/SPSS Quantitative Statistical Methods in IT, Organizations & Social Sciences

Quantitative Structural Equation Models of Risk Management, Controls & Compliance

Statistical Multivariate Regression Models of Risk Management, Controls & Compliance

Qualitative Survey Research Methods in Organizational Controls & Compliance Analysis

•

Algorithms & Computational Finance: SAS, MATLAB, C++, C++11, Machine Learning, Signal ProcessingC++ Design Patterns, Monte Carlo Models, Black-Scholes Model, C++11 Multithreading and Concurrency, SAS Applied Data Science, SAS Advanced Data Mining Models, Uncertainty Modeling, Machine Learning, Computer Algorithms, Mathematical Computation, Computational Cryptography, Artificial Intelligence & Modeling, Machine Learning, Soft Computing, Multivalent Logic, Fuzzy Systems, Computational Complexity, Computational Economics, Graph Theory, Social Networks Analysis, Game Theory, Bayesian Models, Automata, Computability, Formal Languages

Algorithms & Mathematical Models of Computing MachinesComplexity theory, Computability theory, Automata theory, Regular Languages, Finite Automata, Nondeterminism, Regular Expressions, Nonregular Languages, Pumping Lemma, Context-Free Languages, Context-Free Grammars, Pushdown Automata, Non-Context-Free Languages, Church-Turing Thesis, Turing Machines, Variants of Turing Machines, Hilbert’s Problems, Decidable Languages, Undecidability, Undecidable Problems from Language Theory, Computation Histories, Mapping Reducibility, Time Complexity, Measuring Complexity, Class P, Class NP, P versus NP, Cook-Levin Theorem, NP-complete Problems.

Algorithms & Computational Complexity

Big-O and Small-O, Primality Testing, Euclid's Algorithm, Fermat's Little Theorem, Recurrence Relations, Divide-and-Conquer Algorithms, Fast Fourier Transform, Undirected Graphs, Depth-First Search, Directed Graphs, Directed Acyclic Graphs (DAGs), Breadth-First Search, Dijkstra's Algorithm, Shortest Path Algorithms, Bellman-Ford Algorithm, Greedy Algorithms, Minimum Spanning Trees, Kruskal's Algorithm, Prim's Algorithm, Huffman Encoding, Horn Formulas, Dynamic Programming, Topological Ordering, Knapsack Problem, Floyd-Warshall Algorithm, Traveling Salesman Problem, Linear Programming, Duality, Complexity Reductions, Network Flows, Max-Flow Minimum Cut Algorithm, Bipartite Matching, Simplex Algorithm, NP-Completeness, Satisfiability (SAT), Integer Linear Programming, Vertex Cover, Clique, NP-Complete Reductions.

Algorithms, Cyber Networks & Computational Economics

Graph Theory, Social Networks Analysis, Network Strength, Network Structure, Graph Partitioning, Homophily, Structural Balance, Game Theory, Dominant Strategies, Nash Equilibria, Mixed Strategies, Evolutionarily Stable Strategies, Braess's Paradox, Auctions and Pricing, Auction Formats, Bidding Strategies, Matching Markets, Bipartite Graphs, Market-Clearing Prices, Equilibria in Trading Networks, Power in Social Networks, Nash Bargaining Solution, Modeling Network Exchange, Information Networks, WWW Link Analysis, PageRank, Spectral Analysis, VCG Principle, VCG Prices, Bayes' Rule, Information Cascades, Network Effects, Negative Externalities, Power Laws, Rich-Get-Richer Models, Long Tail, Information Cascades, Decentralized Search, Epidemic Models, Wisdom of Crowds Models, Asymmetric Information, Reputation Systems, Voting Systems.

Algorithms, Cryptography, Cryptology & Cyber SecurityShannon's Information Theory, Modular Arithmetic, Number Theory, Symmetric Cryptography, Data Security, Stream Ciphers, Linear Feedback Shift Registers (LFSR), Data Encryption Standard (DES), Triple DES (3 DES), Galois Fields, Advanced Encryption Standard (AES), Block Ciphers (ECB, CBC, OFB, CFB, CTR, GCM), Public-Key Cryptography, RSA Cryptosystem, Public-Key Cryptosystems, Discrete Logarithm Problem, Diffie-Hellman Key Exchange, Elgamal Encryption Scheme, Elliptic Curve Cryptosystems, Digital Signatures, RSA Signature Scheme, Elgamal Signature Scheme, Digital Signature Algorithm, Elliptic Curve Digital Signature Algorithm, Hash Functions, Hash Algorithms, Message Authentication Codes (MACs, HMAC, CBC-MAC, GMAC), Key Establishment (Symmetric and Asymmetric), Key Derivation.

C++ Mathematical Finance, Risk, Design Patterns & Derivatives Pricing Models

C++ Software Engineering Design Patterns: C++ Algorithms, Creational patterns, Virtual Copy Constructor, Factory Pattern, Singleton Pattern, Structural patterns, Adapter Pattern, Bridge Pattern, Decorator Pattern, Behavioral patterns, Strategy Pattern, Template Pattern, Iterator;C++ Computational Finance Options and Derivatives Pricing Applications: Monte Carlo Model, Black Scholes Model, Monte Carlo Call Option Pricer, Encapsulation, Open Closed Principle, Inheritance, Virtual Functions, Virtual Constructor, Bridge Pattern, Statistics Gatherer, Wrappers, Convergence Table, Decorator Pattern, Random Number Generators, Linear Congruential Generator, Anti-Thetic Sampling, Exotics Engine, Template Pattern, Black Scholes Path Generation Engine, Asian Option, Tree Class, Pricing On Trees, Solvers, Templates, Implied Volatilities, Function Objects, Bisections, Newton Raphson Method, Smart Pointers, Exceptions.

C++11 Multithreading & Concurrency Standard Extensions and Operating SystemsThreads, Lambda Expressions, Thread Execution Modes, Thread Termination Modes, References in Multi-threading Mode, Exception Management for Threads, Resource Acquisition is Initialization (RAII), Thread Execution and Document Management, Parameter Passing in Threads, Object References in Threads, std::thread Standard Thread Library, C++ smart pointers, Inter-Thread Execution Transfer, Hardware Concurrency for Multi-Threading, Thread IDs, Preventing Broken Invariants, Mutexes and Race Conditions, Runtime Functions and Arguments Passing, Stack-Related Interface Issues and Race Conditions, std::lock Standard Thread Library, Preventing Deadlocks in Multi-threading, std::lock_guard Standard Thread Library, std::unique Standard Thread Library, std::defer Standard Thread Library, Mutex Ownership Transfers, Efficient Locking of Mutexes, compare vs. swap, Data Initialization and Race Conditions, Initialization of Static Variables, Single Writer & Multiple Readers.

Machine Learning, Signal Processing, Uncertainty & Risk Modeling, Econometric ModelingMultivalent Logic, Uncertainty Modeling, Interval Arithmetic, Multi-Level Interval Numbers, Fuzzy Numbers, Fuzzy Arithmetic, Fuzzy Sets, Fuzzy Operations, Fuzzy Relations, Many-Valued Logic, ANFIS (Adaptive Neuro-Fuzzy Inference System) Models, MATLAB, Java Neural Network Models, C, Approximate Reasoning, Algorithms, Data Mining, Machine Learning, Supervised Learning, Unsupervised Learning, Semi-supervised Learning, Dimensionality Reduction, Pattern Recognition, Classification, Clustering, Overfitting, Underfitting, K-Means Clustering Algorithms, K-Nearest-Neighbor Algorithms, Feature Selection, Nearest Neighbor Classifiers, Naive Bayes Classifier, Bayesian Classifiers, Differential Misclassification, Bootstrap Aggregating (Bagging), Boosting, Single Link Clustering, Complete Link Clustering, Novelty Detection, Receiver Operating Characteristic (ROC), Decision Trees, Genetic Algorithms, Neural Networks, Wrappers vs. Filters, ID3 Algorithms, C4.5 Algorithms, C5.0 Algorithms, Entropy Estimation.

SAS Applied Data Science & Advanced Data Mining ModelsFinancial & Crypto Network Protocols Analyses Indicate Critical Risks, Threats & Vulnerabilities

SAS Programming Advanced Techniques and Efficiencies: User-Defined Functions, Controlling I/O Processing and Memory, Accessing Observations, Using DATA Step Arrays, Using DATA Step Hash and Hiter Objects, Combining Data Horizontally;SAS SQL: SQL Queries, Displaying Query Results, SQL Joins, Subqueries, Set Operators, Creating Tables and Views, Advanced PROC SQL Features;SAS Macros: Macro Variables, Macro Definitions, DATA Step and SQL Interfaces, Macro Programs;SAS Data Manipulation Techniques: Controlling Input and Output, Summarizing Data, Reading Raw Data Files, Data Transformations, Debugging Techniques, Processing Data Iteratively, Restructuring a Data Set, Combining SAS Data Sets, Creating and Maintaining Permanent Formats;SAS Programming: SAS Programs, Accessing Data, Producing Detail Reports, Formatting Data Values, Reading SAS Data Sets, Reading Spreadsheet and Database Data, Reading Raw Data Files, Manipulating Data, Combining SAS Data Sets, Creating Summary Reports.

OCC Notes Cybersecurity Risk & Cyber Attacks as Key Contributor to Banks' Financial Risk

Griffiss Cyberspace Cybersecurity Venture Aims to Span Wall Street and Hi-Tech Research•

Cybersecurity, Ethical Hacking, Intrusion Detection & Prevention, Networks Protocols Analysis

(Applied R&D in Authorized Closed Private Networks isolated from other Private and Public Networks)

Network & Computer Security,Ethical Hacking, Intrusion Detection & Prevention,Financial & Networks Protocols AnalysisAccess Control Lists, Anomaly Based Intrusion Detection, Application Layer Attacks, Application Layer Protocols, ARP Cache Poisoning, ARP Protocol, ARP Spoofing, Attack Trees for Mitigating Attacks on Banking & Finance Systems, Attack Trees for Mitigating Attacks on SCADA Systems, Backdoors, Behavior Based Intrusion Detection, Bitcoin Protocol, Buffer Overflow Attack, Cisco ASA Firewalls, Cisco Routers, Cisco Switches, Cisco VLANs, Common Vulnerabilities & Exposures, Compromised Key Attack, Crypto-Currency, 'Cryptographic Proof' Based Systems, Denial of Service Attacks, DNS Cache Poisoning , Eavesdropping Attack, FAST Financial Securities Trading Network Protocol, Firewall Architectures, Firewall Configuration, FIX Financial Transactions Messaging Network Protocol, Format String Overflow Attack, FTP Protocol, Heap Overflow Attack, High Interaction Honeypots, Honeynets, Honeypots, Honeypots Legal Issues, Host Based Intrusion Detection Systems, HTTP Protocol, ICMP Attacks, ICMP Protocol, Incident Analysis, Incident Containment Strategy, Incident Documentation, Incident Evidence Gathering & Handling, Incident Handling & Incident Response, Incident Handling of Denial of Service Attacks, Incident Handling of Inappropriate Usage , Incident Handling of Malicious Code Attacks, Incident Handling of Multiple Component Incidents, Incident Handling of Unauthorized Access, Incident Prioritization, Intrusion Detection & Prevention Forensics, Intrusion Detection Systems, Intrusion Prevention Systems, IP Address Spoofing, IP Attacks, IP Fragmentation Attacks, IP Fragmentation Flooding, IP Packet Fragmentation, IP Protocol, IPSec, Keyloggers, Knowledge Based Intrusion Detection, LAN Design, LAN Switching, Layer-2 Connection Hijacking, Low Interaction Honeypots, MAC Spoofing , Malware, Man in the Middle Attacks, Medium Interaction Honeypots, Misuse Based Intrusion Detection, Network Address Translation, Network Based Intrusion Detection Systems, NMap Network Analyzer, OSI Model, OSSEC, Packet Filtering, Padded Cells, Password Attacks, Phishing Attacks, Ping Flooding Attack, Ping of Death Attack, Port Address Translation, Port Forwarding Attack, Port Redirection Attack, Proxy Services, Reconnaissance Attacks, Router Configuration, Router Operation, Router Security, Routing Attacks, Routing Protocols, Rule Based Intrusion Detection, Signature Based Intrusion Detection, SMTP Protocol, Smurf Attacks, Sniffing Attack, Snort, Social Engineering Attacks, Spear Phishing Attacks, SSL/TLS Protocols Security and Vulnerabilities, Stack overflow Attack, Stateful Firewalls, Statistical Based Intrusion Detection, Subnetting, Suricata, Switch Configuration, Switch Security, SYN Flood Attack, TCP Attacks, TCP Dump Network Analyzer, TCP Layer Attacks, TCP Port Scanning Attacks, TCP Protocol, TCP Session Hijack, TCP Session Poisoning, TCP SYN Flooding, TCP/IP, TCP/IP Connection Hijacking, TCP/IP Model, TCP/IP Security Flaws, Teardrop Attack, Tracking Cookies, Traffic Amplification, Trojan Horses, Trust Exploitation Attacks, UDP Flood Attacks, Virtual Private Networks, Viruses, VoIP Phishing Attacks, VPN, VPN Security, Wireless Intrusion Detection Systems, Wireless Intrusion Prevention Systems, Wireless LAN Attacks, Wireless LAN Threats, Wireless LAN Security, Wireshark Network Analyzer, Worms.

Financial & Networks Protocols Analysis; Networks Penetration Testing & Ethical Hacking with Metasploit, Nmap, Wireshark, etc.Access Control Misconfiguration Vulnerabilities, Active Dictionary Attack, Active Footprinting, Active Information Gathering, Apache Vulnerability Analysis, Asterisk Exchange Server Configuration, Asterisk Virtual Machine Configuration, Audacity Audio Editor & Recorder, Banner Grabbing, Brute Force Password Attacks, Brute Forcing with Dictionary Attacks and NCrack, Cain & Abel ARP Poison Routing, Cain & Abel IAX2 Packet Flooding Attack, Cain & Abel Man in the Middle Attack, Cain & Abel Network Sniffing Attack, Cain & Abel Passive Eavesdropping Attack, Cain & Abel Password Cracking Attack, Cain & Abel VoIP Traffic Hijacking Attack, Covert Penetration Testing, Dictionary Password Attacks, Digiphone Hard Phones Configuration, E.164 Alias Enumeration, Ekiga Softphone Configuration, Enumerated Open and Closed Ports and Services, enumIAX for exploiting IAX Vulnerabilities, Ethical Hacking Challenges, Exploitation, Fingerprinting Remote Host Services, Flag Capture Challenge Competitions, Getif for SNMP Exploitation, H.323 Debugging, H.323 Device Enumeration, H.323 Username Enumeration, Hashcat Password Cracking of Hashed Salted 64-bit SHA256 Passwords , Hydra Password Attack with Wordlists, IAX Username Enumeration, IAXComm Softphone, Intelligence Gathering Using CLI, Intelligence Gathering Using WWW, John the Ripper Password Cracking Attacks, Kali Virtual Machines Configuration, Key Generation Vulnerabilities, Linux Misconfiguration Vulnerabilities, Linux Virtual Machines Configuration, Man-in-the-Middle Attack on IAX MD5 Authentication, md5 Hash Generator Password Cracker, Metasploit Pro Framework and Associated Tools & Scripts, Metasploit Pro Advanced Nmap Scanning, Metasploit Pro Armitage, Metasploit Pro Basic Exploitation, Metasploit Pro Brute Forcing Ports, Metasploit Pro Brute Forcing SSH Login Using SNMP, Metasploit Pro Creating & Executing Single Encapsulation Payload, Metasploit Pro Creating & Executing Multiple Encapsulation Payload, Metasploit Pro Delivering Payload through xp_cmdshell, Metasploit Pro Executing Exploit as a Background Job, Metasploit Pro Exploitation of Linux Machine, Metasploit Pro Exploitation of Windows Machine, Metasploit Pro Exploits, Metasploit Pro Framework, Metasploit Pro FTP Scanning, Metasploit Pro Meterpreter Compromising Windows Machine, Metasploit Pro Meterpreter Dumping the Password Hashes, Metasploit Pro Meterpreter Extracting the Password Hashes, Metasploit Pro Meterpreter Killing Antivirus Software, Metasploit Pro Meterpreter Leveraging Post Exploitation Modules, Metasploit Pro Meterpreter Migrating a Process, Metasploit Pro Meterpreter Obtaining System Password Hashes, Metasploit Pro Meterpreter Passing the Hash, Metasploit Pro Meterpreter Pivoting onto Other Systems, Metasploit Pro Meterpreter Privilege Escalation, Metasploit Pro Meterpreter Scraping a System, Metasploit Pro Meterpreter Upgrading Command Shell to Meterpreter, Metasploit Pro Meterpreter Using Persistence, Metasploit Pro Meterpreter Using Scripts, Metasploit Pro Meterpreter Viewing Traffic on Target Machine, Metasploit Pro MS SQL Attacks , Metasploit Pro MS SQL Server Brute Forcing, Metasploit Pro MSF Exploit Execution, Metasploit Pro Msfcli, Metasploit Pro Msfconsole, Metasploit Pro MSFencode, Metasploit Pro Payloads, Metasploit Pro Port Scanning, Metasploit Pro Post Exploitation , Metasploit Pro Reverse TCP Payload Using Meterpreter, Metasploit Pro Server Message Block Scanning, Metasploit Pro SNMP Sweeping, Metasploit Pro SSH Server Scanning, Metasploit Proable Virtual Linux Machine Attacks, MySQL Vulnerability Analysis, Nessus for Discovering Vulnerable Services, Netcat to Create Backdoor Tunnel into Target Host, Netcraft Passive Information Gathering, Netstat to Display Kernel IP Interface table, Netstat to Display Kernel IP Routing table, Network Vulnerabilities Scanning, Nikto for Scanning Web Management Interfaces, Nmap Aggressive Network Scanning, Nmap Brute Forcing HTTP Authentication, Nmap Brute Forcing Password Auditing Joomla! Sites, Nmap Brute Forcing Password Auditing WordPress Sites, Nmap Brute Forcing SMTP Passwords, Nmap Detecting Backdoor SMTP Servers, Nmap Discovering UDP Services, Nmap Enumerating Host IP Protocols, Nmap Enumerating Users in an SMTP Server, Nmap Finding SQL Injection Vulnerabilities in Web Applications, Nmap Fingerprinting Host Operating System, Nmap Host Discovery, Nmap ICMP Ping Scans, Nmap Interactive Execution on Remote Host, Nmap List Scan, Nmap Matching Services with Security Vulnerabilities, Nmap Passive Network Scanning, Nmap Scanning for Open Ports and Services, Nmap Script Scanning, Nmap TCP ACK Ping Scans, Nmap TCP Idle Scan, Nmap TCP SYN Ping Scans, Nmap Testing Default Credentials in Web Applications, Nmap UDP Ping Scans, Nmap Vulnerability Script Scanning, NSLookup Passive Information Gathering for DNS, Offline Dictionary Attack, OpenSSH Vulnerability Analysis, OSINT, Overt Penetration Testing, Passive Footprinting, Passive Information Gathering, Password Retrieval, Penetration Testing Execution Standard (PTES), PTES From Start to End, Penetration Testing From Start to End for a Client, Port Scanning with Metasploit Pro, Post Exploitation, Post-Engagement Reports, Pre-Engagement Activities Report, Pre-engagement Interactions, Protocol Authentication/Registration Sniffing, Protocol Device Enumeration, Remote Code Execution Vulnerability Exploitation, Remote Host User Password Cracking, Remote Host User Privilege Escalation, Reporting, RPC Vulnerability Analysis, rtpbreak for RTP Stream Analysis, rtpflood for Denial of Service Attack, Session Initiation Protocol, Session Initiation Sniffing, Setting Up IVR with Asterisk, sflphone Softphone Configuration, SIP Device Enumeration, SIP Encryption Vulnerabilities, SIP Protocol, SIP Username Enumeration, SIPVicious Security Tools, SIPVicious svcrack, SIPVicious svcrash, SIPVicious svmap, SIPVicious svreport, SIPVicious svwar, SSH for Proxying Remote Host Services Using SOCKS, SSH Tunneling Between Multiple Hosts, SSH Tunneling Using Local Forwarding, SSH Tunneling Using Remote Forwarding, SSH Tunneling Using Port Forwarding, SSH Vulnerability Analysis, Stealth Scanning by Spoofing IP Address, Targeted Host Reconnaissance, The Phases of the PTES, Threat Modeling, vnak Multiple Protocol Attacks, VoIP Caller ID Spoofing , VoIP Phishing Attacks, Vulnerability Analysis, Vulnerability Scanners, Whois Lookups (Diverse) Passive Information Gathering, Windows XP Virtual Machines Attacks, Wireshark Network Protocol Analysis, Wireshark Data Stream Capturing, Wireshark Data Stream Playback, Wireshark Packet Capture Analysis, Wireshark RTP Stream Analysis, Wireshark Sniffing, Wireshark Traffic Graph Analysis, Wireshark UDP Stream Analysis, Xlite Softphone Configuration, ZenMap Network Scans using Diverse Modes.

Ethical Hacking and Countermeasures for Penetration Testing Official Curriculum, v8, EC-Council

Sample of Global Management Consulting ClientsGlobal and National Honors for Global CxO Practices Leadership -

CxO Think Tank - CxO Practices - CxO Guidance - CxO KeynotesIncludes strategic partnerships based upon invitation by the other party.

(USA, North America, Europe, Asia)

Arthur Andersen Consulting (Accenture) (Managing Partners & Founders)

Bank of America

Banque Indo-Suez (Hong Kong)

British Telecom (UK)

Conference Board

Emerald Group Publishing (UK)

European Bank Merger (European Union)

Government of Mexico (Mexico: National Cabinet)

Government of Netherlands (Netherlands: National Cabinet)

Harvard Business School

Hewlett-Packard

IBM

Institute for Supply Management

Intel Corporation

JP Morgan

Knowledge Management Consortium International (Board of Directors)

Maeil Business TV Network & Newspaper (S. Korea)

Microsoft

MIT

National Science Foundation

Northrop Grumman Corporation

Ogilvy & Mather

Royal Philips Electronics N.V. (Netherlands)

Siemens AG

Silicon Valley Venture Capitalists and Tech CEOs

Tata Group (India)

Turkish Steel Conglomerate

U.S. Federal Government

Unisys Corporation

United Nations (World Headquarters)

UPMC

Vision Korea Campaign (S. Korea)

Wall Street Investment Bank(s)

Xerox

Ziff Davis

Pioneering Global Computational Quant Cyber-Crypto Finance-IT-Risk Management Digital Transformation Practices

Princeton University InvitedResearch Presentations on Model Risk ManagementFinTech

Pioneering 'Open Systems Finance', 'Model Risk Arbitrage', and, 'Cyber Finance'

2016 Princeton Quant Trading Conference: Among other Presenters: It was a pleasure to collaborate.

40 SSRN Top-10 Research Rankings in Computational Statistical Algorithms & Machine Learning

Research selected for 40 SSRN Top-10 Rankings in Computational Quantitative Risk Analytics.

- SSRN Top-10 Ranking Categories:

• Capital Markets,

• Computational Techniques,

• Corporate Governance,

• Cyberlaw,

• Decision-Making under Risk & Uncertainty,

• Econometric & Statistical Methods,

• Econometric Modeling,

• Econometrics,

• Hedging & Derivatives,

• Information Systems & Economics,

• Mathematical Methods & Programming,

• Microeconomics,

• Operations Research,

• Risk Management,

• Risk Management Controls,

• Risk Modeling,

• Stochastic Models,

• Systemic Risk,

• Uncertainty & Risk Modeling, and,

• VaR Value-at-Risk.

Top Wall Street Banks' Model Risk Management Beyond VaR forExtreme Risks

Technical Expert to Top MDs Team for World's Largest Investment BankFinTech

Beyond 'Bayesian vs. VaR' Dilemma to Empirical Model Risk Management: How to Manage Risk (After Risk Management Has Failed).

(Global Risk Management Network, LLC, 2012, 2014)Measuring & Managing Financial Risks with Improved Alternatives Beyond Value-At-Risk (VaR)

(Global Risk Management Network, LLC, 2012).

Markov Chain Monte Carlo Models and Bitcoin Block Chain Encryption ProtocolsFinTech

Markov Chain Monte Carlo Models,

Gibbs Sampling, and, Metropolis-Hastings Algorithms

(Global Risk Management Network, LLC, 2013).

Complex StochasticsHi-Dimensional Statistical Analysis

Bitcoin Protocol: Model of 'Cryptographic Proof' Based Global Crypto-Currency & Electronic Payments System

(Global Risk Management Network, LLC, 2013).

First Report on the Bitcoin Cryptographic-Proof-of-Work

Bayesian vs. VaR for Hedge Funds

Model Risk Management

Beyond "Bayesian vs. VaR" Dilemma to

Empirical Model Risk Management: How to Manage Risk

(After Risk Management Has Failed) for Hedge Funds'"It is this

"true" uncertainty, and not risk, as has been argued, whichforms the basis of a valid theory of profitandaccounts for the divergence between actual and theoretical competition... It is aworld of changein which we live, and aworld of uncertainty...If we are to understand the workings of theeconomic systemwe must examine themeaning and significance of uncertainty; and to this end someinquiry into the nature and function of knowledgeitself is necessary."

--Frank H. KnightinRisk, Uncertainty, and Profit

(Boston, MA: Hart, Schaffner & Marx; Houghton Mifflin Co), 1921.

(Boston, MA: Hart, Schaffner & Marx; Houghton Mifflin Co), 1921.

'Knight Reconsidered':

Risk, Uncertainty, and, Profit for the Cyber Era: Model Risk Management of Cyber Insurance Models using Quantitative Finance and Advanced Analytics

(Global Risk Management Network, LLC, 2015).

Toward Integrated Enterprise Risk Management, Model Risk Management, & Cyber-Finance Risk Management:

Bridging Networks, Systems, and, Controls

(Global Risk Management Network, LLC, 2015).

Advancing Beyond 'Predictive' to 'Anticipatory' Risk Analytics:

CyberFinance: Why Cybersecurity Risk Analytics must Evolve to Survive 90% of Emerging Cyber Financial Threats, and, What You Can Do About It?

(Global Risk Management Network, LLC, 2016).

Enterprise Risk-Model Risk Management meet Penetration Testing-Ethical HackingFinTech

Cybersecurity & Cyber-Finance Risk Management: Strategies, Tactics, Operations, &, Intelligence: Enterprise Risk Management to Model Risk Management: Understanding Vulnerabilities, Threats, & Risk Mitigation

CSO-CxO Plenary Keynote, National Cybersecurity Summit, Altria Group Inc. Headquarters, VA, 2015

A Framework for Pen Testing Network Protocols for Global Banking & Finance Call Centers: Bridging Networks, Systems, and, Controls Frameworks for Cybersecurity Curricula & Standards Development

(Innovative Design and Development Practices)

New York Cyber Security and Engineering Technology Association (NYSETA) Conference, 2015.

Griffiss Cyberspace^{TM}Cybersecurity Venture Spans Wall Street & Cyber Research

Quantitative Modeling of Trust and Trust Management Protocols in Next Generation Social Networks Based Wireless Mobile Ad Hoc Networks

(Global Risk Management Network, LLC,

December 18, 2014.)

Griffiss Cyberspace Cybersecurity Venture Aims to Span Wall Street and Hi-Tech Research,

Cybersecurity, Financial Protocols & Networks Protocols Analysis, and, Penetration Testing

(Global Risk Management Network, LLC,

Summer 2013.)

Cognitive Analytics and Cryptanalytic Algorithms forFinTechQuantum Computing&Quantum Biology

Future of Bitcoin & Statistical Probabilistic Quantitative Methods: Interview by Hong Kong Institute of Certified Public Accountants

(Global Risk Management Network, LLC, January 20, 2014.)

Cryptology beyond Shannon’s Information Theory: Preparing for when the ‘Enemy Knows the System’: Beyond NSF Cryptanalytic Algorithms

(Global Risk Management Network, LLC, 2013.)

AACSB Recognizes Real Impact among Nobel Laureates such as Black-Scholes

Pioneered Anticipatory Risk Analytics Frameworks Applied by Top Investment Banks

“There are many examples illustrating that advances in basic research have had a substantial impact on practice. Exemplars of this phenomenon can be seen in finance through academic publications on the theories of portfolio selection (Markowitz, 1952), irrelevance of capital structure (Modigliani and Miller, 1958), capital asset pricing (Sharpe, 1964), efficient markets (Fama, 1965 and 1970), option pricing (Black and Scholes, 1973), and agency theory (Jensen and Meckling, 1976). All are well-known for their substantial impact on both theory and practice. In information systems, the research of

Malhotra(Malhotra, 2004) has helped companies to understand why knowledge management systems fail...”

“The new business model of the Information Age, however, is marked by fundamental, not incremental, change. Businesses can't plan long-term; instead, they must shift to a more flexible "anticipation-of-surprise" model.”

-- Yogesh Malhotra ininterview,CIO MagazineSep. 15, 1999.

Leading Global Enterprise Risk Management and Model Risk Management Practices

"The future is moving so quickly that you can’t anticipate it… We have put a tremendous emphasis on quick response instead of planning. We will continue to be surprised, but we won't be surprised that we are surprised. We will anticipate the surprise."20-Years of the Model Risk Management Program

“The new business model of the Information Age, however, is marked by fundamental, not incremental, change. Businesses can't plan long-term; instead, they must shift to a more flexible "anticipation-of-surprise" model.”

-- Yogesh Malhotra ininterview,CIO MagazineSep. 15, 1999.

[A Decade Later... Wall Street CEO, CFOs, & CROs know so... ]

Digital Transformation Research & Practices Leading Global Firms & Governments

Pioneering e-Services & Knowledge Management Digital Transformation Practices

Global & National Thought Leader for UN, NSF, US & World Governments & Parliaments

Digital Transformation Venture Clients, Patrons, & SubscribersA sample of our corporate and organizational clients, patrons, and users is listed below:

FinTechFirms: Goldman Sachs, Google, HP, IBM, Intel, Microsoft, Ogilvy, Wells Fargo

Consulting Firms: Accenture, Ernst & Young, McKinsey, PricewaterhouseCoopers

World Governments: Australia, Canada, European Union, United Kingdom, United States

U.S. Defense: AFRL, Air Force, Army, CCRP, Comptroller, DISA, DoD, NASA, Navy, RAND

World Defense: Australia (Air Force), Canada (Defence R&D), UK (Ministry of Defence)

Business Schools: Harvard, MIT, Princeton, Stanford, UC Berkeley, Wharton

: AACSB, ABA, ACM, AICPA, AOM, APICS, ASTD, ISACA, IEEE, INFORMS

Associations

"Founder Yogesh Malhotra says his vision is to fill the gaps between business and technology, data and knowledge, and, theory and practice..."

- Dr. Yogesh Malhotra inInterviewFortune

Digital Transformation Ventures in Global Business & Technology Press

Digital Transformation Research Interviews in Global Business & Technology Press

MORE... Cyber Transformation Practices Guiding US DoD Commanders & CxOs

("Obsolete what you know before others obsolete it..."

- Dr. Yogesh Malhotra inInc.Interview)

"If you spend some time at [the digital research lab] founded by Dr. Malhotra youwill be blessed by some of the world's most astute thinking on the nature of knowledge and its value."

-U.S. ArmyKnowledge Symposium, Theme: "Knowledge Dominance: Transforming the Army...from Tooth to Tail",US Department of Defense,United States Army.

"There are many definitions of knowledge management. It has been described as "a systematic process for capturing and communicating knowledge people can use." Others have said it is " understanding what your knowledge assets are and how to profit from them." Or the flip side of that: "to obsolete what you know before others obsolete it." (Malhotra) "

-U.S. Department of Defense, Office of the Under Secretary of Defense (Comptroller)

" KM is obsoleting what you know before others obsolete itandprofit by creating the challenges and opportunities others haven't even thought about-- Dr. Yogesh Malhotra, inInc.TechnologyInterview"

-U.S. Defense Information Systems Agency Interoperability Directorate

Pioneered Digital Transformation e-Services & Knowledge Management PracticesLed Global Virtual Team of 200-PhD Experts & CxOs to Publish Pioneering Research Leading Global Practices

Published independent Study paper on computer graphics image compression standards for hypermedia computing technologies, the precursor of WWW, on MBA graduate research fellowship with B2B pioneer and full tuition scholarship in 1993.

Top-3 Search Engines Ranked in the Carnegie Mellon University: National Industry.Net Awards

Developed Computerworld's Top Digital Research Site, Top-3 Search Engine, & Top-10 Social Network

Top-Ranked Digital Research Site:ComputerworldBest Web Site Award

Top-3 Search Engine: Carnegie Mellon UniversityIndustry.NetNational Awards

Top-10 Social Network: Popular Rankings among others such as LinkedIn

Led Global Virtual Community of Practice of 130,000+ to Pioneer Digital Transformation Practices

Millions of worldwide users included Global-2000 Corporations and G-20 World Governments.