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Econometrics for financial applications

Anh, Ly H.

Econometrics for financial applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Econometrics for financial applicationsedited by Ly H. Anh ... [et al.].
other author:	Anh, Ly H.
Published:	Cham :Springer International Publishing :2018.
Description:	xiii, 1081 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Econometrics.
Online resource:	http://dx.doi.org/10.1007/978-3-319-73150-6
ISBN:	9783319731506$q(electronic bk.)

Econometrics for financial applications
Econometrics for financial applications[electronic resource] /edited by Ly H. Anh ... [et al.]. - Cham :Springer International Publishing :2018. - xiii, 1081 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.7601860-949X ;. - Studies in computational intelligence ;v. 216..

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.

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.

ISBN: 9783319731506$q(electronic bk.)

Standard No.: 10.1007/978-3-319-73150-6doiSubjects--Topical Terms:

182271
Econometrics.

LC Class. No.: HB139

Dewey Class. No.: 330.015195

Econometrics for financial applications
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245 0 0 $a Econometrics for financial applications $h [electronic resource] / $c edited by Ly H. Anh ... [et al.].
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300 $a xiii, 1081 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.760
505 0 $a 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.
520 $a 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.
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650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
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