東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Mathematical and statistical methods...

MAF (Conference) (2020 :)

Linked to FindBook

Google Book

Amazon

博客來

Mathematical and statistical methods for actuarial sciences and finance = eMAF2020 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Mathematical and statistical methods for actuarial sciences and finance/ edited by Marco Corazza ... [et al.].
Reminder of title:	eMAF2020 /
remainder title:	eMAF2020
other author:	Corazza, Marco.
corporate name:	MAF (Conference)
Published:	Cham :Springer International Publishing : : 2021.,
Description:	xiv, 401 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Insurance - Congresses. - Mathematical models -
Online resource:	https://doi.org/10.1007/978-3-030-78965-7
ISBN:	9783030789657

Mathematical and statistical methods for actuarial sciences and finance = eMAF2020 /
Mathematical and statistical methods for actuarial sciences and financeeMAF2020 /[electronic resource] :eMAF2020edited by Marco Corazza ... [et al.]. - Cham :Springer International Publishing :2021. - xiv, 401 p. :ill. (some col.), digital ;24 cm.

The cooperation and contamination between mathematicians, statisticians and econometricians working in actuarial sciences and finance is improving the research on these topics and producing numerous meaningful scientific results. This volume presents new ideas, in the form of four- to six-page papers, presented at the International Conference eMAF2020 - Mathematical and Statistical Methods for Actuarial Sciences and Finance. Due to the now sadly famous COVID-19 pandemic, the conference was held remotely through the Zoom platform offered by the Department of Economics of the Ca' Foscari University of Venice on September 18, 22 and 25, 2020. eMAF2020 is the ninth edition of an international biennial series of scientific meetings, started in 2004 at the initiative of the Department of Economics and Statistics of the University of Salerno. The effectiveness of this idea has been proven by wide participation in all editions, which have been held in Salerno (2004, 2006, 2010 and 2014), Venice (2008, 2012 and 2020), Paris (2016) and Madrid (2018) This book covers a wide variety of subjects: artificial intelligence and machine learning in finance and insurance, behavioral finance, credit risk methods and models, dynamic optimization in finance, financial data analytics, forecasting dynamics of actuarial and financial phenomena, foreign exchange markets, insurance models, interest rate models, longevity risk, models and methods for financial time series analysis, multivariate techniques for financial markets analysis, pension systems, portfolio selection and management, real-world finance, risk analysis and management, trading systems, and others. This volume is a valuable resource for academics, PhD students, practitioners, professionals and researchers. Moreover, it is also of interest to other readers with quantitative background knowledge.

ISBN: 9783030789657

Standard No.: 10.1007/978-3-030-78965-7doiSubjects--Topical Terms:

3270877
Insurance
--Mathematical models--Congresses.

LC Class. No.: HG8781 / .M34 2020

Dewey Class. No.: 368.01

Mathematical and statistical methods for actuarial sciences and finance = eMAF2020 /
LDR:02912nmm a2200325 a 4500 001 2262030
003 DE-He213
005 20211213184453.0
006 m d
007 cr nn 008maaau
008 220616s2021 sz s 0 eng d
020 $a 9783030789657 $q (electronic bk.)
020 $a 9783030789640 $q (paper)
024 7 $a 10.1007/978-3-030-78965-7 $2 doi
035 $a 978-3-030-78965-7
040 $a GP $c GP
041 0 $a eng
050 4 $a HG8781 $b .M34 2020
072 7 $a KNST $2 bicssc
072 7 $a BUS070140 $2 bisacsh
072 7 $a KFFK $2 thema
082 0 4 $a 368.01 $2 23
090 $a HG8781 $b .M187 2020
111 2 $a MAF (Conference) $n (9th : $d 2020 : $c Online) $3 3537996
245 1 0 $a Mathematical and statistical methods for actuarial sciences and finance $h [electronic resource] : $b eMAF2020 / $c edited by Marco Corazza ... [et al.].
246 3 $a eMAF2020
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xiv, 401 p. : $b ill. (some col.), digital ; $c 24 cm.
520 $a The cooperation and contamination between mathematicians, statisticians and econometricians working in actuarial sciences and finance is improving the research on these topics and producing numerous meaningful scientific results. This volume presents new ideas, in the form of four- to six-page papers, presented at the International Conference eMAF2020 - Mathematical and Statistical Methods for Actuarial Sciences and Finance. Due to the now sadly famous COVID-19 pandemic, the conference was held remotely through the Zoom platform offered by the Department of Economics of the Ca' Foscari University of Venice on September 18, 22 and 25, 2020. eMAF2020 is the ninth edition of an international biennial series of scientific meetings, started in 2004 at the initiative of the Department of Economics and Statistics of the University of Salerno. The effectiveness of this idea has been proven by wide participation in all editions, which have been held in Salerno (2004, 2006, 2010 and 2014), Venice (2008, 2012 and 2020), Paris (2016) and Madrid (2018) This book covers a wide variety of subjects: artificial intelligence and machine learning in finance and insurance, behavioral finance, credit risk methods and models, dynamic optimization in finance, financial data analytics, forecasting dynamics of actuarial and financial phenomena, foreign exchange markets, insurance models, interest rate models, longevity risk, models and methods for financial time series analysis, multivariate techniques for financial markets analysis, pension systems, portfolio selection and management, real-world finance, risk analysis and management, trading systems, and others. This volume is a valuable resource for academics, PhD students, practitioners, professionals and researchers. Moreover, it is also of interest to other readers with quantitative background knowledge.
650 0 $a Insurance $x Mathematical models $v Congresses. $3 3270877
650 0 $a Insurance $x Statistical methods $v Congresses. $3 3270878
650 0 $a Finance $x Mathematical models $x Congresses. $3 674775
650 0 $a Finance $x Statistical methods $v Congresses. $3 3270879
650 1 4 $a Financial Services. $3 2194957
650 2 4 $a Macroeconomics/Monetary Economics//Financial Economics. $3 2162289
650 2 4 $a Applications of Mathematics. $3 890893
650 2 4 $a Statistics for Business, Management, Economics, Finance, Insurance. $3 3382132
700 1 $a Corazza, Marco. $3 2089089
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-78965-7
950 $a Economics and Finance (SpringerNature-41170)