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Long Memory Options: LM Evidence and Simulations

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Author Info
Sutthisit Jamdee (Kent State University)
Cornelis A. Los (Kent State University)

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Abstract

This paper demonstrates the impact of the observed financial market persistence or long term memory on European option valuation by simple simulation. Many empirical researchers have observed the non-Fickian degrees of persistence or long memory in the financial markets different from the Fickian neutral independence (i.i.d.) of the returns innovations assumption of Black-Scholes' geometric Brownian motion assumption. Moreover, Elliott and van der Hoek (2003) provide a theoretical framework for incorporating these findings into the Black- Scholes risk-neutral valuation framework. This paper provides the first graphical demonstration why and how such long term memory phenomena change European option values and provides thereby a basis for informed long term memory arbitrage. By using a simple mono-fractal Fractional Brownian motion, it is easy to incorporate the various degrees of persistence into the Black-Scholes pricing formula. Long memory options are of considerable importance in corporate remuneration packages, since stock options are written on a company's own shares for long expiration periods. It makes a significant difference in the valuation when an option is 'blue' or when it is 'red.' For a proper valuation of such stock options, the degrees of persistence of the companies' share markets must be precisely measured and properly incorporated in the warrant valuation, otherwise substantial pricing errors may result.

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Paper provided by EconWPA in its series Finance with number 0505003.

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Length: 34 pages
Date of creation: 03 May 2005
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Handle: RePEc:wpa:wuwpfi:0505003

Note: Type of Document - pdf; pages: 34. This paper has been presented at the International Conference on Risk Management and Quantitative Approaches in Finance, Gainesville, FL, April 6 - 8, 2005
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Web page: http://129.3.20.41

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Related research
Keywords: Options Long Memory Persistence Hurst Exponent Identification Simulation Executive Remuneration

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Find related papers by JEL classification:
G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation
C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Batten, Jonathan & Ellis, Craig & Hogan, Warren, 2002. "Scaling the volatility of credit spreads: Evidence from Australian dollar eurobonds," International Review of Financial Analysis, Elsevier, vol. 11(3), pages 331-344. [Downloadable!] (restricted)
  2. John Barkoulas & Christopher F. Baum, 1996. "Fractional Dynamics in Japanese Financial Time Series," Boston College Working Papers in Economics 334., Boston College Department of Economics. [Downloadable!]
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  3. Batten, Jonathan & Ellis, Craig & Mellor, Robert, 1999. "Scaling laws in variance as a measure of long-term dependence," International Review of Financial Analysis, Elsevier, vol. 8(2), pages 123-138, June. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Los, Cornelis A. & Tungsong, Satjaporn, 2008. "Investment Model Uncertainty and Fair Pricing," MPRA Paper 8859, University Library of Munich, Germany. [Downloadable!]
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