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

Questions To what kind of stock options is the Black-Scholes model most applicable to? Validity: How does Black-Scholes generated call and put values compare with the actual historical values? Variable factors: Stocks of a different industry (finance sector stocks vs. agriculture vs. technology) Different volatilities, different price levels

Click to edit the outline text format Second Outline Level  Third Outline Level Fourth Outline Level  Fifth Outline Level  Sixth Outline Level  Seventh Outline Level  Eighth Outline Level Ninth Outline LevelClick to edit Master text styles  Second level  Third level  Fourth level Fifth level Scope of Study Analysis of input variables What are they? How will they be obtained? What formulas are necessary to calculate them?

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: Two parts 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 Main language: Java Outputs:  Series of calls and puts  Spreadsheet, time-series plot Inputs  Price  Volatility  Interest rate  Test data and historical data

Black-Scholes

Volatility

Results Explore Option pricing with mathematics Validity of the model Comparing stocks of different volatility, industry, and nature Further research Comparison with other mathematical models Application into markets in other countries