AILEEN WANG PERIOD 5 An Analysis of Dynamic Applications of Black-Scholes
Purpose Investigate Black-Scholes model Apply the B-S model to an American market Dynamic trading vs. fixed-time trading
Scope of Study Analysis of input variables What are they? How will they be obtained? What formulas are necessary to calculate them? Making the model dynamic
Related Studies 1973: Black-Scholes created 1977: Boyle’s Monte Carlo option model Uses Monte Carlo applications of finance 1979: Cox, Ross, Rubenstien’s bionomial options pricing model Uses the binomial tree and a discrete time-frame Roll, Geske, and Whaley formula American call, analytic solution
Background Information Black-Scholes Black-Scholes Model Black-Scholes equation: partial differential equation Catered to the European market Definite time to maturity American Market Buy and sell at any time More dynamic and violatile
Procedure and Method Coding classes: Stock class, B-S function Main language: Java Outputs: Series of calls and puts Spreadsheet, time-series plot Inputs Price Volatility Interest rate Test data and historical data Accuracy: the price can be compared to a calculator or historical data.
Results Explore Option pricing with mathematics Differences in the USA and Euro markets Further research Comparison with other mathematical models Application into markets in other countries