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The IUP Journal of Derivative Markets :
Valuation of Nifty Options Using Blacks Option Pricing Formula
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The Black and Scholes option pricing formula exhibits certain biases on several parameters used in the model. It has been observed that the implied volatilities are high for `in-the-money' options and low for `out-of-the-money' options indicating that the Black-Scholes model underprices `in-the-money' options and overprices `out-of-the-money' options. Further, implied volatility also varies with maturity. In addition to the problems of changing implied volatility across moneyness and maturity, Nifty options also suffer from `cost-of-carry' bias, as future prices of Nifty options are usually less than Nifty spot prices plus interest element. Since the inception of Nifty future trading in India, Nifty future even traded below the Nifty spot value. These deformities obviously cause difference between the actual price of Nifty options and the prices calculated using Black-Scholes formula. Black tried to address this problem of negative cost of carry by using forward prices in the option pricing model instead of spot prices. He argued that actual forward prices not only incorporate cost of carry but also capture various irregularities faced by market forces. In his model, he replaced the spot price term (S) by the discounted value of future price (F.e-rt) in the original Black-Scholes Formula. On the otherhand black's model is widely used for valuing options on physical commodities as the discounted value of a quoted future price is found to be a better proxy of the current spot prices as an input to Black-Scholes formula. In this study, the theoretical options prices of Nifty options are calculated using both the Black formula and Black-Scholes formula, and these theoretical values are compared with the actual quoted prices in the market. It is found that the Black formula provides better result in comparison to Black-Scholes formula for Nifty options.

Black-Scholes (1973) call option pricing formula was a landmark in the history of financial modeling and continues to be the preferred model for theoretical valuation of option prices. However, the deviation of observed market prices for options from the theoretical results given by the Black-Scholes formula has produced both academics and practitioners, alike. Black (1975) himself was one of the first to observe biases in the Black-Scholes option pricing formula. Latane and Rendleman (1976) observed that out-of-money put options are generally overpriced in the market. MacBeth and Merville (1979) found that the implied volatilities are high for `in-the-money' options and low for `out-of-the-money' options indicating that the Black-Scholes model underprices `in-the-money' options and overprices `out-of-the-money' options.

One of the possible reasons for mispricing of the options on volatility measures can be attributed to the fact, that, actual stock price movement do not follow lognormal distribution as assumed in the model. Mandelbrot (1963), while trying to model cotton prices, observed that the asset price returns were highly leptokurtic, which he termed as `fat tails'. The actual returns from the market showed extreme moves more likely than that can be explained by the lognormal distribution. This is one of the reasons for higher implied volatilities of `deep in-the-money' and `deep out-the-money' options than that of `at-the-money' options.

 
 
 

Nifty Options, Blacks Option Pricing Formula, Black and Scholes option, Black-Scholes formula, financial modeling, volatility measures, stock price movement, volatility of the stock price, generalized autoregressive conditional heteroskedasticity process, GARCH, ARCH/GARCH methodologies.