Financial Econometrics, Mathematics and Statistics: Theory, Method and Application (Hardcover, 2019)

Introduction to Financial Econometrics and Statistics.- Part A: Regression and Financial Econometrics.- Multiple Linear Regression.- Other Topics in Applied Regression Analysis.-Simultaneous Equation Models.-Econometric Approach to Financial Analysis, Planning, and Forecasting.- Fixed Effect vs Random Effect in Finance Research.- Alternative Methods to Deal with Measurement Error.-Three Alternative Errors-in-Variables Estimation Methods in Testing Capital Asset Pricing Model.- Spurious Regression and Data Mining in Conditional Asset Pricing Models.-Time-Series Analysis and Its Applications.-Time-Series: Analysis, Model, and Forecasting.-Hedge Ratio and Time-Series Analysis.- The Binomial, Multi-Nominal Distributions and Option Pricing Model.- Two Alternative Binomial Option Pricing Model Approaches to Derive Black-Scholes Option Pricing Model.-Normal, Lognormal Distribution, and Option Pricing Model.-Copula, Correlated Defaults, and Credit VaR.-Multivariate Analysis: Discriminant Analysis and Factor Analysis.-Stochastic Volatility Option Pricing Models.- Alternative Method to Estimate Implied Variance: Review and Comparison.- Numerical Valuation of Asian Options with Higher Moments in the Underlying Distribution.-Ito's Calculus: Derivation of the Black-Scholes Option Pricing Model.-Alternative Methods to Derive Option Pricing Models.-Constant Elasticity of Variance Option Pricing Model: Integration and Detailed Derivation.- Option Pricing and Hedging Performance under Stochastic Volatility and Stochastic Interest Rates.-Non-Parametric Method for European Option Bounds.