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An Empirical Examination of the Black-Scholes Call Option Pricing Model

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  • MacBeth, James D
  • Merville, Larry J
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    Article provided by American Finance Association in its journal Journal of Finance.

    Volume (Year): 34 (1979)
    Issue (Month): 5 (December)
    Pages: 1173-86

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    Handle: RePEc:bla:jfinan:v:34:y:1979:i:5:p:1173-86

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    Cited by:
    1. Patrick K. Asea & Mthuli Ncube, 1997. "Heterogeneous Information Arrival and Option Pricing," NBER Working Papers 5950, National Bureau of Economic Research, Inc.
    2. Feng, Shih-Ping & Hung, Mao-Wei & Wang, Yaw-Huei, 2014. "Option pricing with stochastic liquidity risk: Theory and evidence," Journal of Financial Markets, Elsevier, vol. 18(C), pages 77-95.
    3. Patrick Asea & Mthuli Nube, 1997. "Heterogeneous Information Arrival and Option Pricing," UCLA Economics Working Papers 763, UCLA Department of Economics.
    4. Marc Chesney & Jean Lefoll, 1996. "Predicting premature exercise of an American put on stocks: theory and empirical evidence," The European Journal of Finance, Taylor & Francis Journals, vol. 2(1), pages 21-39.
    5. Douglas Emery & Weiyu Guo & Tie Su, 2008. "A closer look at Black–Scholes option thetas," Journal of Economics and Finance, Springer, vol. 32(1), pages 59-74, January.
    6. Michael Dueker & Thomas W. Miller, Jr., 1996. "Market microstructure effects on the direct measurement of the early exercise premium in exchange-listed options," Working Papers 1996-013, Federal Reserve Bank of St. Louis.
    7. Kung, James J. & Lee, Lung-Sheng, 2009. "Option pricing under the Merton model of the short rate," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(2), pages 378-386.
    8. Trinidad Segovia, J.E. & Fernández-Martínez, M. & Sánchez-Granero, M.A., 2012. "A note on geometric method-based procedures to calculate the Hurst exponent," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(6), pages 2209-2214.
    9. Chaohua Dong & Jiti Gao, 2012. "Solving Replication Problems in Complete Market by Orthogonal Series Expansion," Monash Econometrics and Business Statistics Working Papers 7/12, Monash University, Department of Econometrics and Business Statistics.
    10. Eric Jacquier & Robert Jarrow, . "Model Error in Contingent Claim Models (Dynamic Evaluation)," Rodney L. White Center for Financial Research Working Papers 07-96, Wharton School Rodney L. White Center for Financial Research.
    11. Sadayuki Ono, 2007. "Option Pricing under Stochastic Volatility and Trading Volume," Discussion Papers 07/05, Department of Economics, University of York.
    12. K. Ronnie Sircar & George Papanicolaou, 1999. "Stochastic volatility, smile & asymptotics," Applied Mathematical Finance, Taylor & Francis Journals, vol. 6(2), pages 107-145.
    13. Emmanuel Jurczenko & Bertrand Maillet & Bogdan Negrea, 2002. "Revisited multi-moment approximate option pricing models: a general comparison (Part 1)," LSE Research Online Documents on Economics 24950, London School of Economics and Political Science, LSE Library.
    14. Matloob Ullah Khan & Ambrish Gupta & Sadaf Siraj, 2013. "Empirical Testing of Modified Black-Scholes Option Pricing Model Formula on NSE Derivative Market in India," International Journal of Economics and Financial Issues, Econjournals, vol. 3(1), pages 87-98.
    15. Robert Tompkins, 2001. "Implied volatility surfaces: uncovering regularities for options on financial futures," The European Journal of Finance, Taylor & Francis Journals, vol. 7(3), pages 198-230.
    16. Chen, Song Xi & Xu, Zheng, 2014. "On implied volatility for options—Some reasons to smile and more to correct," Journal of Econometrics, Elsevier, vol. 179(1), pages 1-15.
    17. Marcelo Bianconi & Scott MacLachlan & Marco Sammon, 2014. "Implied Volatility and the Risk-Free Rate of Return in Options Markets," Discussion Papers Series, Department of Economics, Tufts University 0777, Department of Economics, Tufts University.

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