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A margin scheme that advises on when to change required margin

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  • Lam, Kin
  • Yu, P.L.H.
  • Lee, P.H.

Abstract

The purpose of a margin requirement is to protect a clearinghouse from members' defaults resulting from big losses due to adverse movement of futures prices. To decide on how much a margin is required, a clearinghouse may refer to a benchmark margin defined as a constant multiple of the forecasted volatility. However, a benchmark margin only advises on a desirable margin level. It gives no advice on whether a clearinghouse should alter existing required margin. This paper proposes a margin scheme that can advise on when to change the required margin and if a change is recommended, to what level it should be changed. The proposed margin scheme can be devised so that the coverage probability and change frequency are controlled at target levels deemed appropriate by the clearinghouse. The proposed margin scheme needs a volatility forecast as input. This paper shows that among a large number of volatility forecasts, implied volatility gives the best results. This confirms a conjecture that implied volatility may have more information content than other volatility forecasts as far as margin setting is concerned.

Suggested Citation

  • Lam, Kin & Yu, P.L.H. & Lee, P.H., 2010. "A margin scheme that advises on when to change required margin," European Journal of Operational Research, Elsevier, vol. 207(1), pages 524-530, November.
    • Handle: RePEc:eee:ejores:v:207:y:2010:i:1:p:524-530
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    References listed on IDEAS

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    1. Torben G. Andersen & Tim Bollerslev & Francis X. Diebold & Paul Labys, 2003. "Modeling and Forecasting Realized Volatility," Econometrica, Econometric Society, vol. 71(2), pages 579-625, March.
    2. G. Geoffrey Booth & John Paul Broussard & Teppo Martikainen & Vesa Puttonen, 1997. "Prudent Margin Levels in the Finnish Stock Index Futures Market," Management Science, INFORMS, vol. 43(8), pages 1177-1188, August.
    3. Cotter, John, 2001. "Margin exceedences for European stock index futures using extreme value theory," Journal of Banking & Finance, Elsevier, vol. 25(8), pages 1475-1502, August.
    4. George W. Fenn & Paul Kupiec, 1993. "Prudential margin policy in a futures‐style settlement system," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 13(4), pages 389-408, June.
    5. Bernanke, Ben S, 1990. "Clearing and Settlement during the Crash," The Review of Financial Studies, Society for Financial Studies, vol. 3(1), pages 133-151.
    6. Taylor, Stephen J. & Xu, Xinzhong, 1997. "The incremental volatility information in one million foreign exchange quotations," Journal of Empirical Finance, Elsevier, vol. 4(4), pages 317-340, December.
    7. Earnhart Dietrich & Mark J. Warshawsky & assistant, 1989. "The adequacy and consistency of margin requirements in the markets for stocks and derivative products," Staff Studies 158, Board of Governors of the Federal Reserve System (U.S.).
    8. G. Booth & John Broussard, 1998. "Setting NYSE Circuit Breaker Triggers," Journal of Financial Services Research, Springer;Western Finance Association, vol. 13(3), pages 187-204, June.
    9. Dacorogna, Michael M. & Muller, Ulrich A. & Nagler, Robert J. & Olsen, Richard B. & Pictet, Olivier V., 1993. "A geographical model for the daily and weekly seasonal volatility in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 12(4), pages 413-438, August.
    10. Fleming, Jeff & Kirby, Chris & Ostdiek, Barbara, 2003. "The economic value of volatility timing using "realized" volatility," Journal of Financial Economics, Elsevier, vol. 67(3), pages 473-509, March.
    11. Longin, Francois M., 2000. "From value at risk to stress testing: The extreme value approach," Journal of Banking & Finance, Elsevier, vol. 24(7), pages 1097-1130, July.
    12. Kin Lam & Chor‐Yiu Sin & Rico Leung, 2004. "A theoretical framework to evaluate different margin‐setting methodologies," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(2), pages 117-145, February.
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    Cited by:

    1. Tong, Jun & Hu, Jiaqiao & Hu, Jianqiang, 2017. "Computing equilibrium prices for a capital asset pricing model with heterogeneous beliefs and margin-requirement constraints," European Journal of Operational Research, Elsevier, vol. 256(1), pages 24-34.
    2. Shi, Ruoding & Isengildina Massa, Olga, 2018. "Double-Edged Sword: Liquidity Implications of Futures Hedging," 2018 Annual Meeting, August 5-7, Washington, D.C. 274106, Agricultural and Applied Economics Association.
    3. Philippe Raimbourg & Paul Zimmermann, 2022. "Is normal backwardation normal? Valuing financial futures with a local index-rate covariance," Post-Print hal-04011013, HAL.
    4. Raimbourg, Philippe & Zimmermann, Paul, 2022. "Is normal backwardation normal? Valuing financial futures with a local index-rate covariance," European Journal of Operational Research, Elsevier, vol. 298(1), pages 351-367.
    5. Alexander, Carol & Kaeck, Andreas & Sumawong, Anannit, 2019. "A parsimonious parametric model for generating margin requirements for futures," European Journal of Operational Research, Elsevier, vol. 273(1), pages 31-43.

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