Spectral Risk Measures with an Application to Futures Clearinghouse Variation Margin Requirements

@article{Cotter2006SpectralRM,
  title={Spectral Risk Measures with an Application to Futures Clearinghouse Variation Margin Requirements},
  author={John Cotter and Kevin Dowd},
  journal={Capital Markets: Asset Pricing \& Valuation eJournal},
  year={2006}
}
  • J. CotterK. Dowd
  • Published 31 October 2006
  • Economics
  • Capital Markets: Asset Pricing & Valuation eJournal
This paper applies an AR(1)-GARCH (1, 1) process to detail the conditional distributions of the return distributions for the S&P500, FT100, DAX, Hang Seng, and Nikkei225 futures contracts. It then uses the conditional distribution for these contracts to estimate spectral risk measures, which are coherent risk measures that reflect a user's risk-aversion function. It compares these to more familiar VaR and Expected Shortfall (ES) measures of risk, and also compares the precision and discusses… 
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References

SHOWING 1-10 OF 30 REFERENCES

Extreme Spectral Risk Measures: An Application to Futures Clearinghouse Margin Requirements

This paper applies the Extreme-Value (EV) Generalised Pareto distribution to the extreme tails of the return distributions for the S&P500, FT100, DAX, Hang Seng, and Nikkei225 futures contracts. It…

Varying the VAR for Unconditional and Conditional Environments

Abstract Accurate forecasting of risk is the key to successful risk management techniques. Using the largest stock index futures from 12 European bourses, this paper presents VaR measures based on…

Implications of Nonlinear Dynamics for Financial Risk Management

  • David Hsieh
  • Economics
    Journal of Financial and Quantitative Analysis
  • 1993
Abstract This paper demonstrates that when log price changes are not IID, their conditional density may be more accurate than their unconditional density for describing short-term behavior. Using the…

Valuing the Futures Market Clearinghouse&Apos;S Default Exposure During the 1987 Crash

Futures market clearinghouses are intermediaries that make large volume trading between anonymous parties feasible. During the October 1987 market crash rumors spread that a major clearinghouse might…

VaR without correlations for portfolios of derivative securities

We propose filtering historical simulation by GARCH processes to model the future distribution of assets and swap values. Options’ price changes are computed by full reevaluation on the changing…

Coherent risk measures under filtered historical simulation

Prudent margin levels in the Finnish stock index futures market

Futures market officials are confronted with the difficult task of setting appropriate margin levels that must balance the costs of trader default and the benefits of increased market liquidity. One…

Margin Exceedences for European Stock Index Futures Using Extreme Value Theory

Futures exchanges require a margin requirement that ensures their competitiveness and protects against default risk. This paper applies extreme value theory in computing unconditional optimal margin…

Coherent Measures of Risk

In this paper we study both market risks and nonmarket risks, without complete markets assumption, and discuss methods of measurement of these risks. We present and justify a set of four desirable…

Options, Futures, and Other Derivatives

Contents: Introduction. Futures Markets and the Use of Futures for Hedging. Forward and Futures Prices. Interest Rate Futures. Swaps. Options Markets. Properties of Stock Option Prices. Trading…