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Financial Engineering. Zvi Wiener mswiener@mscc.huji.ac.il 02-588-3049. Random Behavior of Assets. Following Paul Wilmott, Introduces Quantitative Finance Chapter 6. Returns. Returns. See file 6.Random Behavior of Assets.XLS. Normal Distribution N( , ). . .
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Financial Engineering Zvi Wiener mswiener@mscc.huji.ac.il 02-588-3049 http://pluto.mscc.huji.ac.il/~mswiener/zvi.html
Random Behavior of Assets Following Paul Wilmott, Introduces Quantitative Finance Chapter 6 http://pluto.mscc.huji.ac.il/~mswiener/zvi.html
Returns FE-Wilmott-IntroQF Ch6
Returns See file 6.Random Behavior of Assets.XLS FE-Wilmott-IntroQF Ch6
Normal Distribution N(, ) FE-Wilmott-IntroQF Ch6
Normal Distribution N(, ) FE-Wilmott-IntroQF Ch6
Normal Distribution 1% quantile FE-Wilmott-IntroQF Ch6
Lognormal Distribution FE-Wilmott-IntroQF Ch6
Covariance • Shows how two random variables are connected • For example: • independent • move together • move in opposite directions • covariance(X,Y) = FE-Wilmott-IntroQF Ch6
Correlation • -1 1 • = 0 independent • = 1 perfectly positively correlated • = -1 perfectly negatively correlated FE-Wilmott-IntroQF Ch6
Properties FE-Wilmott-IntroQF Ch6
Time Aggregation Assuming normality FE-Wilmott-IntroQF Ch6
Time Aggregation • Assume that yearly parameters of CPI are: • mean = 5%, standard deviation (SD) = 2%. • Then daily mean and SD of CPI changes are: FE-Wilmott-IntroQF Ch6
Volatility FE-Wilmott-IntroQF Ch6
Simulation of a Random Walk See spreadsheet A general formula FE-Wilmott-IntroQF Ch6
Geometrical Brownian Motion Arithmetical Brownian Motion FE-Wilmott-IntroQF Ch6
Central Limit Theorem • The mean of n independent and identically distributed variables converges to a normal distribution as n increases. FE-Wilmott-IntroQF Ch6
Home Assignment • Read chapter 6 in Wilmott. • Follow Excel files coming with the book. FE-Wilmott-IntroQF Ch6