×

Can expected shortfall and value-at-risk be used to statically hedge options? (English) Zbl 1194.91199

From the introduction: The main focus of our paper is to show that hedging using expected shortfall (ES) can lead to a new perverse behavior. This new problem also occurs when one uses value-at-risk (VaR) as the risk measure to determine the optimal hedging strategy. ES has a strong theoretical underpinning, whereas VAR is known to suffer from a number of problems. Since the analysis for ES is more complicated than that for VaR, we first present the analysis of the new phenomenon for VaR, and then proceed to that for ES. This is due to the fact that the dynamics of the phenomenon which we have identified is similar for both VaR and ES, but it is much easier to understand in the VaR setting.

MSC:

91G70 Statistical methods; risk measures
62P05 Applications of statistics to actuarial sciences and financial mathematics
91G10 Portfolio theory
Full Text: DOI

References:

[1] DOI: 10.1111/0022-1082.00108 · doi:10.1111/0022-1082.00108
[2] Artzner P, Risk 10 pp 68– (1997)
[3] DOI: 10.1111/1467-9965.00068 · Zbl 0980.91042 · doi:10.1111/1467-9965.00068
[4] DOI: 10.1093/rfs/14.2.371 · doi:10.1093/rfs/14.2.371
[5] DOI: 10.1002/0470013303 · doi:10.1002/0470013303
[6] Boyle PP, Risk pp 53– (2002)
[7] Dowd K, Beyond Value at Risk; the New Science of Risk Management (1998)
[8] Duffie D, J. Deriv. 8 pp 36– (1997)
[9] Embrechts P, Value at Risk. Lecture notes, Centre of Financial Time Series, The University of Hong Kong (2000)
[10] Fang KT, Symmetric Multivariate and Related Distributions (1990) · doi:10.1007/978-1-4899-2937-2
[11] Jorion P, Value at Risk: The New Benchmark for Managing Financial Risk (2001)
[12] Penza P, Measuring Market Risk with Value-at-Risk (2001)
[13] Pochart B, Quant. Finance 25 pp 337– (2004)
[14] DOI: 10.1016/S0167-6687(99)00036-0 · Zbl 0951.91032 · doi:10.1016/S0167-6687(99)00036-0
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.