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Econometrics of risk

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Econometrics of risk

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Econometrics of risk/ edited by Van-Nam Huynh ... [et al.].
其他作者:	Huynh, Van-Nam.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	x, 498 p. :ill. (some col.), digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Econometrics. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-13449-9
ISBN:	9783319134499 (electronic bk.)

Econometrics of risk
Econometrics of risk[electronic resource] /edited by Van-Nam Huynh ... [et al.]. - Cham :Springer International Publishing :2015. - x, 498 p. :ill. (some col.), digital ;24 cm. - Studies in computational intelligence,v.5831860-949X ;. - Studies in computational intelligence ;v. 50. .

This edited book contains several state-of-the-art papers devoted to econometrics of risk. Some papers provide theoretical analysis of the corresponding mathematical, statistical, computational, and economical models. Other papers describe applications of the novel risk-related econometric techniques to real-life economic situations. The book presents new methods developed just recently, in particular, methods using non-Gaussian heavy-tailed distributions, methods using non-Gaussian copulas to properly take into account dependence between different quantities, methods taking into account imprecise ("fuzzy") expert knowledge, and many other innovative techniques. This versatile volume helps practitioners to learn how to apply new techniques of econometrics of risk, and researchers to further improve the existing models and to come up with new ideas on how to best take into account economic risks.

ISBN: 9783319134499 (electronic bk.)

Standard No.: 10.1007/978-3-319-13449-9doiSubjects--Topical Terms:

556981
Econometrics.

LC Class. No.: HB139

Dewey Class. No.: 330.015195

Econometrics of risk
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520 $a This edited book contains several state-of-the-art papers devoted to econometrics of risk. Some papers provide theoretical analysis of the corresponding mathematical, statistical, computational, and economical models. Other papers describe applications of the novel risk-related econometric techniques to real-life economic situations. The book presents new methods developed just recently, in particular, methods using non-Gaussian heavy-tailed distributions, methods using non-Gaussian copulas to properly take into account dependence between different quantities, methods taking into account imprecise ("fuzzy") expert knowledge, and many other innovative techniques. This versatile volume helps practitioners to learn how to apply new techniques of econometrics of risk, and researchers to further improve the existing models and to come up with new ideas on how to best take into account economic risks.
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