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Chapter 1 - Markets, Basic Statistics, Date and Time
1.1 Economic and Financial Markets
1.2 Distribution Functions in Finance
1.3 Searching for Structures and Dependencies
1.4 Probability Theory and Hypothesis Testing
1.5 Calculating and Managing Calendar Dates
Chapter 2 - The Dynamical Process Behind Financial Markets
2.1 ARIMA Modelling: Basic Concepts of Linear Processes
2.2 GARCH Modelling: Mastering Heteroskedastic Processes
2.3 Regression Modelling from the Time Series Point of View
Chapter 3 - Beyond the Sample: Dealing With Extreme Values
3.1 Exploratory Data Analysis of Extremes
3.2 Fluctuations of Maxima: GEV Distribution
3.3 Extremes of Point Processes
3.4 The Extremal Index
Chapter 4 - The Valuation of Options
4.1 The Basics of Option Pricing
4.2 Pricing Formulas for Exotic Options
4.3 Heston Nandi Option Pricing
4.4 MC Simulation of Path Dependent Options