Multi-Asset Risk Modeling
Techniques for a Global Economy in an Electronic and Algorithmic Trading Era

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Language: English
Cover of the book Multi-Asset Risk Modeling

Subjects for Multi-Asset Risk Modeling

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544 p. · 19x23.3 cm · Hardback
Multi-Asset Risk Modeling describes, in a single volume, the latest and most advanced risk modeling techniques for equities, debt, fixed income, futures and derivatives, commodities, and foreign exchange, as well as advanced algorithmic and electronic risk management. Beginning with the fundamentals of risk mathematics and quantitative risk analysis, the book moves on to discuss the laws in standard models that contributed to the 2008 financial crisis and talks about current and future banking regulation. Importantly, it also explores algorithmic trading, which currently receives sparse attention in the literature. By giving coherent recommendations about which statistical models to use for which asset class, this book makes a real contribution to the sciences of portfolio management and risk management.
  1. Introduction to Multi-Asset Risk Modeling – Lessons from the Debt Crisis
  2. A Primer on Risk Mathematics
  3. A Primer on Quantitative Risk Analysis - by Johnathan Mun
  4. Price Volatility
  5. Factor Models
  6. Equity Derivatives
  7. Foreign Exchange Market and Interest Rates
  8. Algorithmic Trading Risk
  9. Risk Hedging Techniques
  10. Rating Credit Risk: Current Practices, Model Design and Applications
  11. A Basic Credit Default Swap Model
  12. Multi-Asset Corporate Restructurings and Valuations
  13. Extreme Value Theory and Application to Market Shocks for Stress Testing and Extreme Value at Risk
  14. Case Study: Ensuring Sustainability of an Institution as a Going Concern: An Approach to Dealing with Black Swan or Tail Risk - by Karamjeet Paul

Undergraduate and graduate students, professors, and professionals working with financial risk management techniques who want reference information about theoretical models and applications.

Professor Morton Glantz serves as a financial consultant, educator, and adviser to a broad spectrum of professionals, including corporate financial executives, government ministers, privatization managers, investment and commercial bankers, public accounting firms, members of merger and acquisition teams, strategic planning executives, management consultants, attorneys, and representatives of foreign governments and international banks. Professor Morton Glantz is a principal of Real Consulting and Real Options Valuation, firms specializing in risk consulting, training, certification, and advanced analytical software in the areas of risk quantification, analysis, and management solutions.

As a JP Morgan Chase (heritage bank) senior banker, Professor Glantz built a progressive career path specializing in credit analysis and credit risk management, risk grading systems, valuation models, and professional training. He was instrumental in the reorganization and development of the credit analysis module of the Bank’s Management Training Program-Finance, which at the time was recognized as one of the foremost training programs in the banking industry.

Professor Glantz is on the (adjunct) finance faculty of the Fordham Graduate School of Business. He has appeared in the Harvard University International Directory of Business and Management Scholars and Research, and has earned Fordham University Deans Award for Faculty Excellence on three occasions. He is a Board Member of the International Standards Board, International Institute of Professional Education and Research (IIPER). The IIPER is a global institute with partners and offices around the world, including the United States, Switzerland, Hong Kong, Mexico, Portugal, Singapore, Nigeria, and Malaysia. Professor Glantz is widely published in financial journals and has authored 8 books.
Robert Kissell, Ph.D., is President of Kissell Research Group, a global financial and economic consulting firm specializing

  • Covers all asset classes
  • Provides mathematical theoretical explanations of risk as well as practical examples with empirical data
  • Includes sections on equity risk modeling, futures and derivatives, credit markets, foreign exchange, and commodities