Value-at-Risk

Explained:

base currency

value-at-risk

VaR horizon

VaR measurement


 
   

Value-at-risk (VaR) is a category of risk metrics that describe probabilistically the market risk of a trading portfolio. Value-at-risk is widely used by banks, securities firms, commodity merchants, energy merchants, and other trading organizations. Such firms could track their portfolios' market risk by using historical volatility as a risk metric. They might do so by calculating the historical volatility of their portfolio's market value over a rolling 100 trading days. The problem with doing this is that it would provide a retrospective indication of risk. The historical volatility would illustrate how risky the portfolio had been over the previous 100 days. It would say nothing about how much market risk the portfolio was taking today.

For institutions to manage risk, they must know about risks while they are being taken. If a trader mis-hedges a portfolio, his employer needs to find out before a loss is incurred. Value-at-risk gives institutions the ability to do so. Unlike retrospective risk metrics, such as historical volatility, value-at-risk is prospective. It quantifies market risk while it is being taken.

Measure time in trading days. Let 0 be the current time. We know a portfolio's current market value . Its market value in one trading day is unknown. It is a random variable. We may ascribe it a probability distribution. With value-at-risk, we summarize a portfolio's market risk by reporting some parameter of this distribution. For example, we might report the 90%-quantile of the portfolio's single-period USD loss. This is called one-day 90% USD VaR. If a portfolio has a one-day 90% USD VaR of, say, USD 5MM, it can be expected to lose more than USD 5MM on one trading day our of ten. This is illustrated in Exhibit 1.

Example: One-Day 90% USD VaR
Exhibit 1

One-day 90% USD VaR is illustrated for a hypothetical portfolio. Shown is the probability density function for the portfolio's value 1P one trading day from now. The  portfolio's current value 0p is known. value-at-risk equals the amount of money such that there is a 90% probability of the portfolio losing less than that amount over the next trading day. This is indicated in the Exhibit.

Value-at-risk can be measured in other ways. For example, bank regulations require that value-at-risk be calculated as a 99%-quantile of loss over a two-week horizon. Still other metrics are possible. We could measure value-at-risk as the standard deviation of portfolio value or the standard deviation of portfolio return. Essentially, any parameter of the distribution of a portfolio's future value can be used to measure value-at-risk.

   

Let's formalize this. value-at-risk is applicable to any liquid portfolio—that is, any portfolio that can reasonably be marked to market on a regular basis. Value-at-risk is not applicable to illiquid assets, such as real estate or fine art. Value-at-risk considers a portfolio's performance over a specific horizon—a trading day, two weeks, a month, etc. We call this the VaR horizon. Value-at-risk is measured in a particular currency, USD in the example above, but any currency can be used. This is called the base currency. Finally, the portfolio's market risk is summarized with a single number. Informally, we called this a parameter of the distribution of portfolio value. More formally, it is any function of both the portfolio's current value and its (random) value at the end of the VaR horizon. In our example, the function was the 90%-quantile of loss. As we mentioned, other functions are possible. A VaR measurement is the value obtained for that function for a specific portfolio at a specific point in time.

We distinguish between a VaR measure and a VaR metric. A VaR measure is the procedure by which we arrive at a VaR measurement. It is some computational algorithm, which is typically coded on a computer. A VaR metric is our interpretation of the VaR measurement. In our examples, the VaR metric was one-day 90% USD VaR. Other example of VaR metrics are:

two-week 99% EUR VaR

one-year standard deviation of USD return

one-day semi-variance of JPY portfolio value

Value-at-risk became popular with trading organizations during the 1990s. It was during this period that the name "value-at-risk" entered the financial lexicon. However, VaR measures had been used long before this.

   

An early user was Harry Markowitz. In his groundbreaking (1952) paper "Portfolio Selection", he adopted a VaR metric of single period variance of return and used this to develop techniques of portfolio optimization. In the early 1980s, the United States Securities and Exchange Commission (SEC) adopted a crude VaR measure for use in assessing the capital adequacy of broker-dealers' trading non-exempt securities. A few years later, Bankers Trust implemented a VaR measure for use with its RAROC capital allocation system. During the late 1980s and early 1990s, a number of institutions implemented VaR measures to support capital allocation or market risk limits.

In the early 1990s, three events popularized value-at-risk as a practical tool for use on trading floors:

In 1993, the Group of 30 published a groundbreaking report on derivatives practices. It was influential and helped shape the emerging field of financial risk management. It promoted the use of value-at-risk by derivatives dealers and appears to be the first publication to use the phrase "value-at-risk."

In 1994, JP Morgan launched its free RiskMetrics service. This was intended to promote the use of value-at-risk among the firm's institutional clients. The service comprised a technical document describing how to implement a VaR measure and a covariance matrix for several hundred key factors  updated daily on the internet.

In 1995, the Basel Committee on Banking Supervision implemented market risk capital requirements for banks. These were based upon a crude VaR measure, but the committee also approved, as an alternative,  the use of banks' own proprietary VaR measures in certain circumstances.

 

These three initiatives came during a period of heightened concern about systemic risks due to the emerging—and largely unregulated—OTC derivatives market. It was also a period when a number of organizations—including Orange County, Barings Bank, and Metallgesellschaft—suffered staggering losses due to speculative trading, failed hedging programs or derivatives. Financial risk management was a priority for firms, and value-at-risk was rapidly embraced as the tool of choice for quantifying market risk. It was implemented by financial firms, corporate treasuries, commodities merchants, and energy merchants.

For a detailed discussion of how value-at-risk is calculated, see the article measuring value-at-risk.

Related Books

   

Related Internal Links

corporate risk management Practices that serve to optimize risk taking in a context of book value accounting.

duration and convexity Factor sensitivities employed in fixed income markets.

financial risk management Practices by which a firm optimizes the manner in which it takes financial risk.

Group of 30 Report An influential 1993 industry report on OTC derivatives.

Greeks A set of factor sensitivities used to measure risk exposures related to options or other derivatives.

market risk Exposure to the uncertain market value of a portfolio.

measuring value-at-risk Describes how VaR measures work.

risk Comprises two components: uncertainty and exposure.

risk limit A limit placed upon risk taking activity for the purpose of avoiding excessive risk.

risk measure and risk metric Concepts related to the quantification of risk.

stress testing A simple form of scenario analysis typically used to assess market risk.

VaR metric An interpretation of a VaR measure.

Sponsored Links

Related Papers

Group of 30 (1993). Derivatives: Practices and Principles, Washington: Group of 30.

Markowitz, Harry M. (1952). Portfolio selection, Journal of Finance, 7 (1), 77-91

Morgan Guaranty (1994). RiskMetrics Technical Document 2nd Edition, New York: Morgan Guaranty.

Related Forum Discussions

VaR Weaknesses 09 Apr 2006
Purported shortcomings of value-at-risk.

How to set VaR limit on market risk? 13 Oct 2005
What is the right way to set trading limits?

Comparing Banks' VaR 03 Sep 2004
Is it meaningful to compare one bank's reported value-at-risk with that of another bank?

Historical VaR risk drivers 10 Jan 2003
Determining how a portfolio could lose an amount equal to its VaR?

What is the "best" method for calculating VaR? 11 Sep 2002
Do we "calculate" value-a-risk or do we "estimate" it?

Addition of VaR 18 Feb 2002
Combining market risk and credit risk into a single risk measure.

Setting VaR limit 11 Dec 2000
Setting value-at-risk limits based on Greek limits.

VAR in insurance company 16 Aug 2000
How is value-at-risk used in insurance companies?

Realistic scaling of VaRs to annual horizons ... 08 Jun 2000
Challenges of scaling value-at-risk to long horizons.

Alternatives to VaR 07 Jan 1999
Brief exchange about alternatives to value-at-risk.

The origin of VaR 23 Sep 1998
Pre-RiskMetrics history of value-at-risk.

market liquidity risk 11 Sep 1998
Incorporating liquidity considerations into value-at-risk measures.

CreditMetrics. Is VaR subadditive ? 20 Aug 1998
Why value-at-risk is not a subadditive risk metric.

Article 108 06 Aug 1997
Untitled thread debates the merits (or lack of merits) of value-at-risk.

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copyright © Glyn A. Holton, 2002

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