國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Mathematical and statistical methods...

(1998 :)

Mathematical and statistical methods for actuarial sciences and financeeMAF2020 /

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 financeedited by Marco Corazza ... [et al.].
其他題名:	eMAF2020 /
其他題名:	eMAF2020
其他作者:	Corazza, Marco.
團體作者:
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	xiv, 401 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	InsuranceCongresses.Mathematical models
電子資源:	https://doi.org/10.1007/978-3-030-78965-7
ISBN:	9783030789657$q(electronic bk.)

Mathematical and statistical methods for actuarial sciences and financeeMAF2020 /
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$q(electronic bk.)

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

515478
Insurance
--Mathematical models--Congresses.

LC Class. No.: HG8781 / .M34 2020

Dewey Class. No.: 368.01

Mathematical and statistical methods for actuarial sciences and financeeMAF2020 /
LDR:02912nmm a2200325 a 4500 001 612324
003 DE-He213
005 20211213184453.0
006 m d
007 cr nn 008maaau
008 220526s2021 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 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
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 515478
650 0 $a Insurance $x Statistical methods $v Congresses. $3 561341
650 0 $a Finance $x Mathematical models $3 217204
650 0 $a Finance $x Statistical methods $v Congresses. $3 515477
650 1 4 $a Financial Services. $3 747489
650 2 4 $a Macroeconomics/Monetary Economics//Financial Economics. $3 731063
650 2 4 $a Applications of Mathematics. $3 273744
650 2 4 $a Statistics for Business, Management, Economics, Finance, Insurance. $3 825914
700 1 $a Corazza, Marco. $3 515476
710 2 $a SpringerLink (Online service) $3 273601
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)