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AILEEN WANG PERIOD 5 An Analysis of Dynamic Applications of Black-Scholes
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Purpose Investigate Black-Scholes model Apply the B-S model to an American market Dynamic trading vs. fixed-time trading
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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
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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
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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
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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.
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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
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