1996Financial Analysts JournalRequires access

Risk 2 : Measuring the Risk in Value at Risk

Philippe Jorion

Open publisher page 348 citations

Abstract

The recent derivatives disasters have focused the attention of the finance industry on the need to control financial risks better. This search has led to a uniform measure of risk called value at risk (VAR), which is the expected worst loss over a given horizon at a given confidence level. VAR numbers, however, are themselves affected by sampling variation, or “estimation risk”—thus, the risk in value at risk itself. Nevertheless, given these limitations, VAR is an indispensable tool to control financial risks. This article lays out the statistical methodology for analyzing estimation error in VAR and shows how to improve the accuracy of VAR estimates.

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What this paper is about

The recent derivatives disasters have focused the attention of the finance industry on the need to control financial risks better. This search has led to a uniform measure of risk called value at risk (VAR), which is the expected worst loss over a given horizon at a given confidence level. VAR numbers, however, are themselves affected by sampling variation, or “estimation risk”—thus, the risk in value at risk itself. Nevertheless, given these limitations, VAR is an indispensable tool to control financial risks. This article lays out the statistical methodology for analyzing estimation error in VAR and shows how to improve the accuracy of VAR estimates.

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OpenAlex reports 348 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The recent derivatives disasters have focused the attention of the finance industry on the need to control financial risks better. This search has led to a uniform measure of risk called value at risk (VAR), which is the expected worst loss over a given horizon at a given confidence level. VAR numbers, however, are themselves affected by sampling variation, or “estimation risk”—thus, the risk in value at risk itself. Nevertheless, given these limitations, VAR is an indispensable tool to control financial risks. This article lays out the statistical methodology for analyzing estimation error in VAR and shows how to improve the accuracy of VAR estimates.

Key concepts: Value at risk, Estimation, Actuarial science, Financial risk, Value (mathematics), Econometrics, Financial risk management, Control (management)

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