Publications-Books & Chapters in Books

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

Related Publications in TAIR

題名 Financial Econometrics, Mathematics and Statistics: Theory, Method and Application
作者 陳鴻毅
Chen, Hong-Yi
Lee, Cheng-Few
Lee, John
貢獻者 財管系
關鍵詞 Financial Econometrics and Statistics Textbook;Panel Data Analysis;Simultaneous Equation Models;Single Equation Regression Methods;Statistical Distributions;Time Series Analysis;option pricing model;multiple regression;capital asset pricing model;Monte Carlo simulations;maximum likelihood method;heteroscedasticity;asset allocation;autoregressive forecasting model;Holt-Winters forecasting model;error component model;credit risk;dummy variables;ARCH method;LISREAL method
日期 2019-06
上傳時間 11-Apr-2022 15:42:49 (UTC+8)
摘要 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.
關聯 Springer
資料類型 book
DOI https://doi.org/10.1007/978-1-4939-9429-8
dc.contributor 財管系
dc.creator (作者) 陳鴻毅
dc.creator (作者) Chen, Hong-Yi
dc.creator (作者) Lee, Cheng-Few
dc.creator (作者) Lee, John
dc.date (日期) 2019-06
dc.date.accessioned 11-Apr-2022 15:42:49 (UTC+8)-
dc.date.available 11-Apr-2022 15:42:49 (UTC+8)-
dc.date.issued (上傳時間) 11-Apr-2022 15:42:49 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/139822-
dc.description.abstract (摘要) 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.
dc.format.extent 15074632 bytes-
dc.format.mimetype application/pdf-
dc.relation (關聯) Springer
dc.subject (關鍵詞) Financial Econometrics and Statistics Textbook;Panel Data Analysis;Simultaneous Equation Models;Single Equation Regression Methods;Statistical Distributions;Time Series Analysis;option pricing model;multiple regression;capital asset pricing model;Monte Carlo simulations;maximum likelihood method;heteroscedasticity;asset allocation;autoregressive forecasting model;Holt-Winters forecasting model;error component model;credit risk;dummy variables;ARCH method;LISREAL method
dc.title (題名) Financial Econometrics, Mathematics and Statistics: Theory, Method and Application
dc.type (資料類型) book
dc.identifier.doi (DOI) 10.1007/978-1-4939-9429-8
dc.doi.uri (DOI) https://doi.org/10.1007/978-1-4939-9429-8