國立虎尾科技大學 |

Econometrics for Financial Applications

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Econometrics for Financial Applications/ edited by Ly H. Anh, Le Si Dong, Vladik Kreinovich, Nguyen Ngoc Thach.
其他作者:	Anh, Ly H.
面頁冊數:	XIII, 1081 p. 176 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-73150-6
ISBN:	9783319731506

Econometrics for Financial Applications
Econometrics for Financial Applications[electronic resource] /edited by Ly H. Anh, Le Si Dong, Vladik Kreinovich, Nguyen Ngoc Thach. - 1st ed. 2018. - XIII, 1081 p. 176 illus.online resource. - Studies in Computational Intelligence,7601860-949X ;. - Studies in Computational Intelligence,564.

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

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

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Econometrics for Financial Applications
LDR:02745nam a22004095i 4500 001 986936
003 DE-He213
005 20200701082203.0
007 cr nn 008mamaa
008 201225s2018 gw | s |||| 0|eng d
020 $a 9783319731506 $9 978-3-319-73150-6
024 7 $a 10.1007/978-3-319-73150-6 $2 doi
035 $a 978-3-319-73150-6
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a TEC009000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.3 $2 23
245 1 0 $a Econometrics for Financial Applications $h [electronic resource] / $c edited by Ly H. Anh, Le Si Dong, Vladik Kreinovich, Nguyen Ngoc Thach.
250 $a 1st ed. 2018.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a XIII, 1081 p. 176 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Studies in Computational Intelligence, $x 1860-949X ; $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.
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 0 $a Econometrics. $3 556981
650 1 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
700 1 $a Anh, Ly H. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1279444
700 1 $a Dong, Le Si. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1279445
700 1 $a Kreinovich, Vladik. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 964800
700 1 $a Thach, Nguyen Ngoc. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1279446
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783319731490
776 0 8 $i Printed edition: $z 9783319731513
776 0 8 $i Printed edition: $z 9783319892344
830 0 $a Studies in Computational Intelligence, $x 1860-949X ; $v 564 $3 1253640
856 4 0 $u https://doi.org/10.1007/978-3-319-73150-6
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)