Financial Econometrics, Mathematics and Statistics (PDF)
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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
Hong-Yi Chen is Assistant Professor at the NCCU College of Commerce. His research expertise is in investments, asset pricing, and corporate finance. He has co-authored several papers in journals such as Springer's Review of Quantitative Finance and Accounting, as well as Elsevier's Journal of Corporate Finance.
John C. Lee is Director of the Center for PBBEF Research. A Microsoft Certified Professional in Microsoft Visual Basic and Microsoft Excel VBA, he has a Bachelors and Masters degree in accounting from the University of Illinois at Urbana-Champaign. Lee has worked over 20 years in both the business and technical fields as an accountant, auditor, systems analyst, as well as a business software developer. Formerly, the Senior Technology Officer at the Chase Manhattan Bank and Assistant Vice President at Merrill Lynch, he is also the author of the book on how to use MINITAB and Microsoft Excel to do statistical analysis. In addition, he also published Financial Analysis, Planning and Forecasting with
- Autoren: Cheng-Few Lee , Hong-Yi Chen , John Lee
- 1st ed. 2019, 655 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1493994298
- ISBN-13: 9781493994298
- Erscheinungsdatum: 03.06.2019
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 14 MB
- Ohne Kopierschutz
- Vorlesefunktion
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