ABSTRACT This article valuated theoretical prices of covered warrants in china through fitting temporal series of target warrant prices and market information of corresponding underlying securities. Furthermore, the author surveyed the deviation between market price and theoretical price of warrant. In order to eliminate the inaccuracy caused by constant volatility assumption of B-S Model, the author creatively used Modified Exponentially Moving Average (Modified EMA) Model to calculate the historical volatility of market prices of warrants and fixed the best dilution factor through Grid Search Technique. Also, validities of calculation of historical volatility by Modified EMA Model and original EMA Model are compared. Original data came from market information during the period 2005-2008 supported by security trading software and calculation was done via Excel. At the same time when Chinese government was going to revive covered warrant market, this article provided a more accurate method of pricing covered warrant, also known as modified B-S Model.
Cite this paper
Z. Geng, Q. Ding and J. Zhang, "Empirical Study on B-S Model Based Pricing of Warrants in China," iBusiness, Vol. 5 No. 1, 2013, pp. 54-57. doi: 10.4236/ib.2013.51B012.
 Liang Guoliang2004 Financial economics (Taipei: Five Southern Book Publishing Co., Ltd.) pp 256.
 Black F 1973 Scholes M. The Pricing of Options and Corporate Liabilities.Journal of Political Economy, (81): 637-659.
 Wei Guqianfengyan 2005 Details of the Black-Scholes Model (Taipei: Ding Mao Press) pp 32-36.
 Bai Shuangmei, Du Fuzhou 2010 Control chart parameter optimizes based on Markov chain's EWMA and realizes. Manufacturing industry automation. (6): 64-67.
 Wang Haiyu, Xu Jichao, Yang Jiafeng, Chang Guangshu 2006 APL-based optimal design of EWMA chart. Systems engineering theory method application.15(1): 65-70.