Download An introduction to market risk measurement by Kevin Dowd PDF

By Kevin Dowd

ISBN-10: 0470847484

ISBN-13: 9780470847480

This publication offers an creation to worth in danger (VaR) and anticipated tail loss (ETL) estimation and is a student-oriented model of Measuring marketplace Risk (John Wiley & Sons 2002).

An advent to marketplace probability Measurement contains insurance of:

  • Parametric and non-parametric hazard estimation

  • Simulation

  • Numerical equipment

  • Liquidity hazards

  • Risk Decomposition and Budgeting

  • Backtesting

  • Stress checking out

  • Model chance
Divided into components, half one discusses some of the hazard size innovations, while half offers a toolkit of the most instruments required to appreciate marketplace chance size. A CD is packaged with the booklet, containing a MATLAB folder of possibility size capabilities, as well as a few examples in Excel/VBA.

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Example text

Such as elliptical distributions or lognormality), we then require either that individual asset returns be multivariate normally distributed, or (less restrictively) that our portfolio has a normally distributed return. Either way, we end up with a portfolio whose returns are normally distributed. If we are to use portfolio theory, we have to make assumptions somewhere along the line that lead us to normality or something closely related to it. Unfortunately, once we are signed up to normality, we are stuck with it: we have a framework that cannot (again, honourable exceptions aside) be relied upon to give us good answers in the presence of major departures from normality, such as skewness or fat tails.

R It provides new operational decision rules to guide investment, hedging and trading decisions, and substantially improve the quality of decision-making. r Systems based on VaR methodologies can be used to measure other risks such as credit, liquidity and operational risks. This leads to a more integrated approach to the management of different kinds of risks, and to improved budget planning and better strategic management. r This new approach enables firms to respond appropriately to regulations, particularly the capital adequacy regulations that financial institutions face.

Early in 1994, Morgan set up the RiskMetrics unit to do this and the RiskMetrics model — a simplified version of the firm’s own internal model — was completed in eight months. In October that year, Morgan then made its RiskMetrics system and the necessary data freely available on the internet: outside users could now access the RiskMetrics model and plug their own position data into it. 14 One should however note a possible source of confusion. , such as the RiskMetrics Technical Document) uses the term ‘value at risk’ somewhat idiosyncratically to refer to the maximum likely loss over the next 20 days, and uses the term ‘daily earnings at risk’ (DeaR) to refer to the maximum likely loss over the next day.

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