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Financial Econometrics, Mathematics and Statistics = Theory, Method and Application /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Financial Econometrics, Mathematics and Statistics/ by Cheng-Few Lee, Hong-Yi Chen, John Lee.
其他題名:	Theory, Method and Application /
作者:	Lee, Cheng-Few.
其他作者:	Chen, Hong-Yi.
面頁冊數:	XX, 655 p. 129 illus., 57 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics . -
電子資源:	https://doi.org/10.1007/978-1-4939-9429-8
ISBN:	9781493994298

Financial Econometrics, Mathematics and Statistics = Theory, Method and Application /
Lee, Cheng-Few.

Financial Econometrics, Mathematics and StatisticsTheory, Method and Application /[electronic resource] :by Cheng-Few Lee, Hong-Yi Chen, John Lee. - 1st ed. 2019. - XX, 655 p. 129 illus., 57 illus. in color.online resource.

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.-Itô’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.

This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. Financial Econometrics, Mathematics, and Statistics illustrates tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research. Divided into four parts, the text offers insight into the following models and topics, among others: • Multiple linear regression • Time-series analysis • Option pricing models • Risk management • Heteroskedasticity • Itô’s Calculus • Spurious regression • Errors-in-variable Written by leading academics in the quantitative finance field, this book allows readers to implement the principles behind financial econometrics and statistics through real-world applications and problem sets. It will appeal to a less-served market of advanced students and scholars in finance, economics, accounting, and statistics.

ISBN: 9781493994298

Standard No.: 10.1007/978-1-4939-9429-8doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 330.015195

Financial Econometrics, Mathematics and Statistics = Theory, Method and Application /
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505 0 $a 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.-Itô’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.
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