Skip to main content

Risk Measurement Principles

  • Chapter
  • First Online:
  • 7031 Accesses

Abstract

In this chapter, we take a close look at the principles of risk measurement. We argue that it is natural to quantify the riskiness of a position in monetary units so that the measurement of the risk of a position can be interpreted as the size of buffer capital that should be added to the position to provide a sufficient protection against undesirable outcomes. In the investment problems in Chap. 4, variance was used to quantify the riskiness of a portfolio. However, variance, being just the expected squared deviation from the mean value, does not differentiate between good positive deviations and bad negative deviations and cannot easily be translated into meaningful monetary values unless the future value we consider is close to normally distributed. The risk premium considered in Chap. 5 is more natural than the variance as a summary of the riskiness and potential reward of a position. However, the risk premium is difficult to use effectively to control the risk taking of a financial institution or to determine whether the aggregate position of a company or business unit is acceptable from a risk perspective. In this chapter, we will present measures of risk, including the widely used value-at-risk and expected shortfall, analyze their properties, and evaluate their performance in a large number of examples.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   49.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   64.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   89.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. Acerbi, C.: Spectral measures of risk: a coherent representation of subjective risk aversion. J. Bank. Finan. 26, 1505–1518 (2002)

    Article  Google Scholar 

  2. Acerbi, C., Tasche, D.: On the coherence of Expected Shortfall. J. Bank. Finan. 26, 1487–1503 (2002)

    Article  Google Scholar 

  3. Artzner, P., Delbaen, F., Eber, J.-M., Heath, D.: Coherent measures of risk. Math. Finan. 9, 203–228 (1999)

    MathSciNet  MATH  Google Scholar 

  4. Föllmer, H., Schied, A.: Stochastic Finance: An Introduction in Discrete Time, 3rd edn. de Gruyter, Berlin (2011)

    Google Scholar 

  5. Jorion, P.: Value-at-Risk: The New Benchmark for Managing Financial Risk, 3rd edn. McGraw-Hill, New York (2007)

    Google Scholar 

  6. Rockafellar, R.T., Uryasev, S.: Optimization of conditional value-at-risk. J. Risk 2, 493–517 (2000)

    Google Scholar 

  7. Rockafellar, R.T., Uryasev, S., Zabarankin, M.: Master funds in portfolio analysis with general deviation measures. J. Bank. Finan. 30, 743–778 (2005)

    Article  Google Scholar 

  8. Rockafellar, R.T., Uryasev, S., Zabarankin, M.: Generalized deviations in risk analysis. Finan. Stochastics 10, 51–74 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  9. Rockafellar, R.T., Uryasev, S., Zabarankin, M.: Optimality conditions in portfolio analysis with general deviation measures. Math. Program. Ser. B 108, 515–540 (2006)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media New York

About this chapter

Cite this chapter

Hult, H., Lindskog, F., Hammarlid, O., Rehn, C.J. (2012). Risk Measurement Principles. In: Risk and Portfolio Analysis. Springer Series in Operations Research and Financial Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4103-8_6

Download citation

Publish with us

Policies and ethics