東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Mathematical and statistical methods...

MAF (Conference) ((2022 :)

FindBook

Google Book

Amazon

博客來

Mathematical and statistical methods for actuarial sciences and finance = MAF 2022 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Mathematical and statistical methods for actuarial sciences and finance/ edited by Marco Corazza ... [et al.].
其他題名:	MAF 2022 /
其他題名:	MAF 2022
其他作者:	Corazza, Marco.
團體作者:	MAF (Conference)
出版者:	Cham :Springer International Publishing : : 2022.,
面頁冊數:	xiv, 443 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Actuarial science - Congresses. -
電子資源:	https://doi.org/10.1007/978-3-030-99638-3
ISBN:	9783030996383

Mathematical and statistical methods for actuarial sciences and finance = MAF 2022 /
Mathematical and statistical methods for actuarial sciences and financeMAF 2022 /[electronic resource] :MAF 2022edited by Marco Corazza ... [et al.]. - Cham :Springer International Publishing :2022. - xiv, 443 p. :ill., digital ;24 cm.

The cooperation and contamination among mathematicians, statisticians and econometricians working in actuarial sciences and finance are 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 MAF2022 - Mathematical and Statistical Methods for Actuarial Sciences and Finance. Due to the COVID-19 pandemic, the conference, to which this book is related, was organized in a hybrid form by the Department of Economics and Statistics of the University of Salerno, with the partnership of the Department of Economics of Ca Foscari University of Venice, and was held from 20 to 22 April 2022 in Salerno (Italy) MAF2022 is the tenth edition of an international biennial series of scientific meetings, started in 2004 on the initiative of the Department of Economics and Statistics of the University of Salerno. It has established itself internationally with gradual and continuous growth and scientific enrichment. The effectiveness of this idea has been proven by the wide participation in all the editions, which have been held in Salerno (2004, 2006, 2010, 2014, 2022), Venice (2008, 2012 and 2020 online), Paris (2016) and Madrid (2018) This book covers a wide variety of subjects: artificial intelligence and machine learning in finance and insurance, behavioural 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: 9783030996383

Standard No.: 10.1007/978-3-030-99638-3doiSubjects--Topical Terms:

3264788
Actuarial science
--Congresses.

LC Class. No.: HG8782 / .M34 2022

Dewey Class. No.: 368.01

Mathematical and statistical methods for actuarial sciences and finance = MAF 2022 /
LDR:03133nmm a2200325 a 4500 001 2300669
003 DE-He213
005 20220411182440.0
006 m d
007 cr nn 008maaau
008 230324s2022 sz s 0 eng d
020 $a 9783030996383 $q (electronic bk.)
020 $a 9783030996376 $q (paper)
024 7 $a 10.1007/978-3-030-99638-3 $2 doi
035 $a 978-3-030-99638-3
040 $a GP $c GP
041 0 $a eng
050 4 $a HG8782 $b .M34 2022
072 7 $a KFFN $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a KFFN $2 thema
082 0 4 $a 368.01 $2 23
090 $a HG8782 $b .M187 2022
111 2 $a MAF (Conference) $d (2022 : $c Solerno, Italy) $3 3599396
245 1 0 $a Mathematical and statistical methods for actuarial sciences and finance $h [electronic resource] : $b MAF 2022 / $c edited by Marco Corazza ... [et al.].
246 3 $a MAF 2022
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xiv, 443 p. : $b ill., digital ; $c 24 cm.
520 $a The cooperation and contamination among mathematicians, statisticians and econometricians working in actuarial sciences and finance are 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 MAF2022 - Mathematical and Statistical Methods for Actuarial Sciences and Finance. Due to the COVID-19 pandemic, the conference, to which this book is related, was organized in a hybrid form by the Department of Economics and Statistics of the University of Salerno, with the partnership of the Department of Economics of Ca Foscari University of Venice, and was held from 20 to 22 April 2022 in Salerno (Italy) MAF2022 is the tenth edition of an international biennial series of scientific meetings, started in 2004 on the initiative of the Department of Economics and Statistics of the University of Salerno. It has established itself internationally with gradual and continuous growth and scientific enrichment. The effectiveness of this idea has been proven by the wide participation in all the editions, which have been held in Salerno (2004, 2006, 2010, 2014, 2022), Venice (2008, 2012 and 2020 online), Paris (2016) and Madrid (2018) This book covers a wide variety of subjects: artificial intelligence and machine learning in finance and insurance, behavioural 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 Actuarial science $v Congresses. $3 3264788
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 Actuarial Mathematics. $3 3599397
650 2 4 $a Statistical Theory and Methods. $3 891074
650 2 4 $a Mathematics in Business, Economics and Finance. $3 3538573
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/10.1007/978-3-030-99638-3
950 $a Mathematics and Statistics (SpringerNature-11649)