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Stochastic Processes and ModelsA. G. (Tassos) MalliarisLoyola University of Chicago - Department of Economics George ChalamandarisAthens University of Economics and Business - Department of Accounting and Finance March 12, 2008 COMPANION TO FINANCIAL DERIVATIVES, Robert Kolb, James Overdahl, eds., Palgrave, Forthcoming Abstract: This chapter introduces the reader to definitions and key properties of stochastic processes that are important in finance. The discussion starts from the description of Brownian motion that describes the idea of a continuous random walk and proceeds to Ito processes that incorporate both trend and volatility. The emphasis of the exposition is the applicability of stochastic processes in financial modeling. The paper demonstrates that ordinary calculus cannot tackle the problems that arise in continuous time financial economics because of the presence of randomness. We offer a brief presentation of the main concepts of stochastic calculus by reviewing the Ito integral and the Ito formula. Finally, the Binomial tree model is presented as an intuitive way to approximate a stochastic process in discrete time.
Number of Pages in PDF File: 30 Keywords: Stochastic, Processes, Models JEL Classification: C02, C60, G13 Accepted Paper SeriesDate posted: March 19, 2008Suggested CitationContact Information
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