Econometrics for Financial Applications
tarafından
Anh, Ly H. editor.
Başlık
:
Econometrics for Financial Applications
Yazar
:
Anh, Ly H. editor.
ISBN
:
9783319731506
Edisyon
:
1st ed. 2018.
Fiziksel Niteleme
:
XIII, 1081 p. 176 illus. online resource.
Seri
:
Studies in Computational Intelligence, 760
İçindekiler
:
Testing, Prediction, and Cause in Econometric Models -- Information Criteria for Statistical Modeling in Data-Rich Era -- An invitation to quantum econometrics -- GL+ and GL- Regressions -- What If We Do Not Know Correlations? -- Markowitz Portfolio Theory Helps Decrease Medicines' Side Effect and Speed Up Machine Learning.
Özet
:
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.
Konu Başlığı
:
Engineering.
Artificial intelligence.
Econometrics.
Computational Intelligence. http://scigraph.springernature.com/things/product-market-codes/T11014
Artificial Intelligence. http://scigraph.springernature.com/things/product-market-codes/I21000
Econometrics. http://scigraph.springernature.com/things/product-market-codes/W29010
Yazar Ek Girişi
:
Anh, Ly H.
Dong, Le Si.
Kreinovich, Vladik.
Thach, Nguyen Ngoc.
Ek Kurum Yazar
:
SpringerLink (Online service)
Elektronik Erişim
:
Materyal Türü | Barkod | Yer Numarası | Durumu/İade Tarihi |
---|
Electronic Book | 222368-1001 | Q342 | Springer E-Book Collection |