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Option Strategies: Good Deals and Margin Calls


Alessio Saretto


University of Texas at Dallas - School of Management - Department of Finance & Managerial Economics

Pedro Santa-Clara


Nova School of Business and Economics; National Bureau of Economic Research (NBER); Centre for Economic Policy Research (CEPR)

January 2006

EFA 2006 Zurich Meetings

Abstract:     
We investigate the risk and return of a variety of trading strategies involving options on the S&P 500. Overall, we find that strategies that short options constitute very good deals.

However, exploiting these good deals can be extremely difficult. Trading costs and margin requirements severely condition the implementation of the option strategies. Margin calls in particular have a double impact on trading strategies: they limit the notional amount of short-sale positions and they force investors out of trades precisely when they are losing money. These frictions limit the capacity of sophisticated investors to arbitrage away the mispricings in options markets.

Number of Pages in PDF File: 40

Keywords: Option strategies, margin requirements

JEL Classification: G12, G13

working papers series


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Date posted: March 25, 2005  

Suggested Citation

Saretto, Alessio and Santa-Clara, Pedro, Option Strategies: Good Deals and Margin Calls (January 2006). EFA 2006 Zurich Meetings. Available at SSRN: http://ssrn.com/abstract=681643 or http://dx.doi.org/10.2139/ssrn.681643

Contact Information

Alessio Saretto
University of Texas at Dallas - School of Management - Department of Finance & Managerial Economics ( email )
800 Campbell Road
SM 31
Richardson, TX 75080
United States
972-883-5907 (Phone)
HOME PAGE: http://www.utdallas.edu/~axs125732
Pedro Santa-Clara (Contact Author)
Nova School of Business and Economics ( email )
Lisbon
Portugal
HOME PAGE: http://docentes.fe.unl.pt/~psc/
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Centre for Economic Policy Research (CEPR) ( email )
77 Bastwick Street
London, EC1V 3PZ
United Kingdom
Feedback to SSRN (Beta)


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