Econometrics for Financial Applications

• Corporate Author: SpringerLink (Online service)
• Other Authors: Anh, Ly H. (Editor, http://id.loc.gov/vocabulary/relators/edt), Dong, Le Si (Editor, http://id.loc.gov/vocabulary/relators/edt), Kreinovich, Vladik (Editor, http://id.loc.gov/vocabulary/relators/edt), Thach, Nguyen Ngoc (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Studies in Computational Intelligence, 760
• Subjects: Computational intelligence.; Artificial intelligence.; Econometrics.; Computational Intelligence.; Artificial Intelligence.
• Physical Description: XIII, 1081 p. 176 illus. online resource.
• ISBN: 9783319731506
• ISSN: 1860-949X ;
• DOI: 10.1007/978-3-319-73150-6

This book addresses both theoretical developments in and practical applications of econometric techniques to finance-related problems. It includes selected edited outcomes of the International Econometric Conference of Vietnam (ECONVN2018), held at Banking University, Ho Chi Minh City, Vietnam on January 15-16, 2018. Econometrics is a branch of economics that uses mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. An extremely important part of economics is finances: a financial crisis can bring the whole economy to a standstill and, vice versa, a smart financial policy can dramatically boost economic development. It is therefore crucial to be able to apply mathematical techniques of econometrics to financial problems. Such applications are a growing field, with many interesting results - and an even larger number of challenges and open problems.