語系:
繁體中文
English
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...
~
Corazza, Marco.
Mathematical and statistical methods for actuarial sciences and FinanceMAF 2018 /
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:
MAF 2018 /
其他作者:
Corazza, Marco.
出版者:
Cham :Springer International Publishing :2018.
面頁冊數:
xvi, 518 p. :digital ;24 cm.
Contained By:
Springer eBooks
標題:
Mathematics.
電子資源:
http://dx.doi.org/10.1007/978-3-319-89824-7
ISBN:
9783319898247$q(electronic bk.)
Mathematical and statistical methods for actuarial sciences and FinanceMAF 2018 /
Mathematical and statistical methods for actuarial sciences and Finance
MAF 2018 /[electronic resource] :edited by Marco Corazza ... [et al.]. - Cham :Springer International Publishing :2018. - xvi, 518 p. :digital ;24 cm.
The interaction between mathematicians, statisticians and econometricians working in actuarial sciences and finance is producing numerous meaningful scientific results. This volume introduces new ideas, in the form of four-page papers, presented at the international conference Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF), held at Universidad Carlos III de Madrid (Spain), 4th-6th April 2018. The book covers a wide variety of subjects in actuarial science and financial fields, all discussed in the context of the cooperation between the three quantitative approaches. The topics include: actuarial models; analysis of high frequency financial data; behavioural finance; carbon and green finance; credit risk methods and models; dynamic optimization in finance; financial econometrics; forecasting of dynamical actuarial and financial phenomena; fund performance evaluation; insurance portfolio risk analysis; interest rate models; longevity risk; machine learning and soft-computing in finance; management in insurance business; models and methods for financial time series analysis, models for financial derivatives; multivariate techniques for financial markets analysis; optimization in insurance; pricing; probability in actuarial sciences, insurance and finance; real world finance; risk management; solvency analysis; sovereign risk; static and dynamic portfolio selection and management; trading systems. This book is a valuable resource for academics, PhD students, practitioners, professionals and researchers, and is also of interest to other readers with quantitative background knowledge.
ISBN: 9783319898247$q(electronic bk.)
Standard No.: 10.1007/978-3-319-89824-7doiSubjects--Topical Terms:
184409
Mathematics.
LC Class. No.: HG8781 / .M384 2018
Dewey Class. No.: 368.01
Mathematical and statistical methods for actuarial sciences and FinanceMAF 2018 /
LDR
:02543nmm a2200277 a 4500
001
543096
003
DE-He213
005
20190129170910.0
006
m d
007
cr nn 008maaau
008
190411s2018 gw s 0 eng d
020
$a
9783319898247$q(electronic bk.)
020
$a
9783319898230$q(paper)
024
7
$a
10.1007/978-3-319-89824-7
$2
doi
035
$a
978-3-319-89824-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
HG8781
$b
.M384 2018
082
0 4
$a
368.01
$2
23
090
$a
HG8781
$b
.M426 2018
245
0 0
$a
Mathematical and statistical methods for actuarial sciences and Finance
$h
[electronic resource] :
$b
MAF 2018 /
$c
edited by Marco Corazza ... [et al.].
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
xvi, 518 p. :
$b
digital ;
$c
24 cm.
520
$a
The interaction between mathematicians, statisticians and econometricians working in actuarial sciences and finance is producing numerous meaningful scientific results. This volume introduces new ideas, in the form of four-page papers, presented at the international conference Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF), held at Universidad Carlos III de Madrid (Spain), 4th-6th April 2018. The book covers a wide variety of subjects in actuarial science and financial fields, all discussed in the context of the cooperation between the three quantitative approaches. The topics include: actuarial models; analysis of high frequency financial data; behavioural finance; carbon and green finance; credit risk methods and models; dynamic optimization in finance; financial econometrics; forecasting of dynamical actuarial and financial phenomena; fund performance evaluation; insurance portfolio risk analysis; interest rate models; longevity risk; machine learning and soft-computing in finance; management in insurance business; models and methods for financial time series analysis, models for financial derivatives; multivariate techniques for financial markets analysis; optimization in insurance; pricing; probability in actuarial sciences, insurance and finance; real world finance; risk management; solvency analysis; sovereign risk; static and dynamic portfolio selection and management; trading systems. This book is a valuable resource for academics, PhD students, practitioners, professionals and researchers, and is also of interest to other readers with quantitative background knowledge.
650
0
$a
Mathematics.
$3
184409
650
0
$a
Finance.
$3
183252
650
0
$a
Economics.
$3
175999
650
1 4
$a
Statistics.
$3
182057
650
2 4
$a
Statistics for Business/Economics/Mathematical Finance/Insurance.
$3
274062
650
2 4
$a
Econometrics.
$3
182271
650
2 4
$a
Probability Theory and Stochastic Processes.
$3
274061
650
2 4
$a
Optimization.
$3
274084
700
1
$a
Corazza, Marco.
$3
515476
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-89824-7
950
$a
Mathematics and Statistics (Springer-11649)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000159846
電子館藏
1圖書
電子書
EB HG8781 M426 2018 2018
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-89824-7
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入