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

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...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Lee, Cheng-Few (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut), Chen, Hong-Yi (http://id.loc.gov/vocabulary/relators/aut), Lee, John (http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη: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.
Φυσική περιγραφή:XX, 655 p. 129 illus., 57 illus. in color. online resource.
ISBN:9781493994298
DOI:10.1007/978-1-4939-9429-8