The Relation between Option Mispricing and Volume in the Black-Scholes Option Model
AbstractWe investigate the relation between mispricing in the Black-Scholes option pricing (BSOP) model and volume in the option market. Our results indicate heavily traded call options are priced more efficiently and have lower mispricing errors than thinly traded options. However, this relation shifts significantly on days when call option trading is high. On high-volume days, the BSOP model mispricing errors are significantly larger than mispricing errors on normal-volume days. We believe large increases in volume may reflect new and changing market information, thus making pricing less efficient in the BSOP model.
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Bibliographic InfoArticle provided by Southern Finance Association & Southwestern Finance Association in its journal Journal of Financial Research.
Volume (Year): 20 (1997)
Issue (Month): 1 (Spring)
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Web page: http://www.blackwellpublishing.com/journal.asp?ref=0270-2592
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- Panayiotis Andreou & Chris Charalambous & Spiros Martzoukos, 2006. "Robust Artificial Neural Networks for Pricing of European Options," Computational Economics, Society for Computational Economics, vol. 27(2), pages 329-351, May.
- Robert E.J. Hibbard & Rob Brown & Keith R. McLaren, 2002. "Nonsimultaneity and Futures Option Pricing: Simulation and Empirical Evidence," Monash Econometrics and Business Statistics Working Papers 13/02, Monash University, Department of Econometrics and Business Statistics.
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