[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, aWhat is my worst-case scenario?a and aHow much could I lose in a really bad month?a However, there has not been an effective guidebook available to help investors and financial managers make their own VaR calculations--until now. The VaR Implementation Handbook is a hands-on road map for professionals who have a solid background in VaR but need the critical strategies, models, and insights to apply their knowledge in the real world. Heralded as athe new science of risk management, a VaR has emerged as the dominant methodology used by financial institutions and corporate treasuries worldwide for estimating precisely how much money is at risk each day in the financial markets. The VaR Implementation Handbook picks up where other books on the subject leave off and demonstrates how, with proper implementation, VaR can be a valuable tool for assessing risk in a variety of areas-from equity to structured and operational products. This complete guide thoroughly covers the three major areas of VaR implementation--measuring, modeling risk, and managing--in three convenient sections. Savvy professionals will keep this handbook at their fingertips for its: Reliable advice from 40 recognized experts working in universities and financial institutions around the world Effective methods and measures to ensure that implemented VaR models maintain optimal performance Up-to-date coverage on newly exposed areas of volatility, including derivatives Real-world prosperity requires making informed financial decisions. The VaR Implementation Handbook is a step-by-step playbook to getting the most out of VaR modeling so you can successfully manage financial risk.Graphics processing unit computing offers a particularly interesting alternative to the standard approach when calculations can be run in a parallel fashion such as in Monte Carlo. ... recently released an interface that allows executing specifically built programs on their GPU (Nvidia, 2007). ... The architecture of a GPU is known as single instruction multiple data (SIMD); from a technical point of view thisanbsp;...
|Title||:||The VAR Implementation Handbook|
|Author||:||Greg N. Gregoriou|
|Publisher||:||McGraw Hill Professional - 2009-03-15|