Related Books

The VAR Implementation Handbook, Chapter 13 - Value at Risk for High-Dimensional Portfolios: A Dynamic Grouped t-Copula Approach
Language: en
Pages: 34
Authors: Greg N. Gregoriou
Categories: Business & Economics
Type: BOOK - Published: 2009-02-19 - Publisher: McGraw Hill Professional

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The following is a chapter from The VaR Implementation Handbook, which examines the latest strategies for measuring, managing, and modeling risk across a variet
The VAR Implementation Handbook
Language: en
Pages: 562
Authors: Greg N. Gregoriou
Categories: Business & Economics
Type: BOOK - Published: 2009-03-15 - Publisher: McGraw Hill Professional

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[flap] For investors, risk is about the odds of losing money, and Value at Risk (VaR) is grounded in that common-sense fact. VAR modeling answers, “What is my
The VAR Implementation Handbook, Chapter 9 - Computational Aspects of Value at Risk
Language: en
Pages: 21
Authors: Greg N. Gregoriou
Categories: Business & Economics
Type: BOOK - Published: 2009-02-19 - Publisher: McGraw Hill Professional

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The following is a chapter from The VaR Implementation Handbook, which examines the latest strategies for measuring, managing, and modeling risk across a variet
The VaR Modeling Handbook: Practical Applications in Alternative Investing, Banking, Insurance, and Portfolio Management
Language: en
Pages: 418
Authors: Greg N. Gregoriou
Categories: Business & Economics
Type: BOOK - Published: 2010-02-22 - Publisher: McGraw Hill Professional

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Value-at-Risk (VaR) is a powerful tool for assessing market risk in real time—a critical insight when making trading and hedging decisions. The VaR Modeling H
The VAR Implementation Handbook, Chapter 6 - Value-at-Risk Performance Criterion: A Performance Measure for Evaluating Value-at-Risk Models
Language: en
Pages: 19
Authors: Greg N. Gregoriou
Categories: Business & Economics
Type: BOOK - Published: 2009-02-19 - Publisher: McGraw Hill Professional

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The following is a chapter from The VaR Implementation Handbook, which examines the latest strategies for measuring, managing, and modeling risk across a variet