Yogesh Malhotra, PhD
Portfolio of Global CxO Research & Practice Leadership
$1 Trillion Funds, $100 Billion Hi-Tech Firms, Wall Street, Silicon Valley,
National Science Foundation, US & World Governments, United Nations
Projects - Research - Publications - Liquidity Risk - Model Risk - Black Swans - JP Morgan - Wall Street
Bitcoin Protocol - OCC-Cyber Risk - Griffiss Cyberspace - CxO Think Tank - CxO Practices - CxO Guidance
Quantitative Finance & Risk Management Research Impact
[Research Rankings among Nobel Laureates and Harvard University Distinguished Professors]
“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...” - AACSB International Impact of Research Report, 2008.
Dr. Yogesh Malhotra's research is recognized among 'exemplars' of 'considerable impact on actual practice' such as Black-Scholes, Harry Markowitz, and William Sharpe in the AACSB International Impact of Research Report, 2008. High-profile scientific impact studies have ranked the impact of his research among the top 50 business and economics researchers of all time such as computer scientist Herbert Simon and economist Joseph Schumpeter. His research and practices are ranked and profiled in scientific impact studies, global business press, and industry surveys among Finance & Information Science Nobel laureates, E-Business & Knowledge Management pioneers, and distinguished professors from institutions such as Harvard University.
His recent experience is in leading quantitative finance and quantitative risk modeling projects for top Wall Street investment banks such as JP Morgan Private Bank and a Goldman Sachs alumnus' asset management firm. Prior to that he founded award-winning influential financial and risk analytics ventures with CxO clients such as Goldman Sachs. Given systemic risks posed by notional $700 trillion dollars in derivatives markets alone, his focus is on computational mathematical quantitative models of risk management beyond model risks exposed by the global financial crisis of 2008 and subsequent extreme events and black swans. Influence of his research on managing model risks is evident in Federal Reserve System and OCC guiding principles such as SR11-7 and OCC 2011-12.
His prior work focused on advancing financial risk management beyond traditional VaR models that have been the subject of critical review by the Basel Committee for Banking Supervision. Earlier, his quantitative modeling and risk modeling PhD research focused on next-generation Information Systems to manage unprecedented dynamic uncertainty and complexity resulting from the World Wide Web for Financial Risk Management and Cyber Risk Management. Having examined next-generation computational probabilistic modeling of signal processing for global financial markets using computer science algorithms and machine learning, his computational quantitative risk management focus has advanced to include global electromagnetic spectrum networks related to Financial Risk Management and Cyber Risk Management.
World's top executives such as Microsoft founder Bill Gates, global Banking and Finance institutions, CxOs of US Army / US Navy / US Air Force / US Air Force Research Lab and senior leaders at world governments and parliaments such as the European Union and the Australian Parliament have written about Yogesh Malhotra's risk management ventures in their visionary strategies and policies.
Editorial coverage and interviews about him and his research ventures are found in worldwide leading business and technology trade press and media including Wall Street Journal, New York Times, Los Angeles Times, San Jose Mercury News, Fortune, Forbes, Business Week, Inc., Fast Company, Computerworld, Information Week, CIO Magazine, CIO Insight, and InfoWorld.
His research for advancing thought leadership and insights of world's foremost leaders and executives is found in use as standard reference in libraries of institutions such as Harvard, MIT and Princeton, and in top universities and business schools of the world such as Harvard Business School MBA Program, Stanford Graduate School of Business and Wharton School.
Talking of hobbies, yes he has some: for instance, the Web site he developed as a hobby while a PhD student and submitted as last minute entry got selected in the world's top three search engines in a national competition and selected exclusively by Computerworld for its Annual Forecast Best Site Award.
His pursuit for advancing the 'risk management paradigm' for large-scale complex systems can be traced back to his communication as a PhD research fellow in mid-1990s with Dr. John H. Holland the 'father of genetic algorithms', then situated at the Santa Fe Institute. His 2001 paper inspired by that communication addresses many of the questions being raised in aftermath of the Global Financial Crisis of 2008 on issues such as What is Exactly Missing from Quantitative Models? Published in the computer science journal Expert Systems with Applications special issue on Knowledge Management and its link to Artificial Intelligence, it was ranked by the journal as first on its list of top-25 most downloaded papers.
"I think you have hit upon an area that has seen very little coordinated research. There has been an over-concentration on Shannon's definition of information in terms of uncertainty (a very good definition for the original purposes) with little attempt to understand how MEANING directs a message in a network. This, combined with a concentration on end-points (equilibria) rather than properties of the trajectory (move sequence) in games has lead to a very unsatisfactory treatment of the dynamics of organizations." - Dr. John H. Holland, 'The Father of Genetic Algorithms', personal communication, in Malhotra, Y. "Expert systems for knowledge management: [Managing uncertainty by] crossing the chasm between information processing and sense making," Expert Systems with Applications: An International Journal, 20, 2001.
His ongoing quest for next-generation risk management and quantitative finance models is based on culmination of applied practices and influential research focused on how people and organizations use information for decision-making to handle unprecedented dynamic uncertainty and complexity. This quest is focused on advancing global finance and risk management quantitative modeling practices beyond predicting an increasingly & radically discontinuous future with backward looking models focused on past history to anticipation of surprise by 'effective challenge' of models.
Uncertainty & Risk Management: Beyond MIS to Financial & Cyber Risk Management
Anticipation of Surprise: Beyond Limitations of Predicting Future from Past
Latest Impact on Cutting-Edge Finance & Banking Leading Edge CxO Practices
Global Impact on CxO Practices in Defense & Space, Finance & Banking, IT
(Prior to the Global Financial Crisis of 2008-2009)
[Uncertainty & Risk Management: Beyond MIS to Financial & Cyber Risk Management
Anticipation of Surprise: Beyond Limitations of Predicting Future from Past]
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