Actuarial Models: The Mathematics of Insurance
Selected Payout Products of the Old-age Pension Saving Scheme eBooks & eLearning
Posted by hill0 at Feb. 22, 2023
Selected Payout Products of the Old-age Pension Saving Scheme
English | 2023 | ISBN: 3031238486 | 75 Pages | PDF EPUB (True) | 3 MB
English | 2023 | ISBN: 3031238486 | 75 Pages | PDF EPUB (True) | 3 MB
The calculus of retirement income eBooks & eLearning
Posted by insetes at Oct. 29, 2020
The calculus of retirement income By Moshe A. Milevsky
2006 | 336 Pages | ISBN: 0521842581 | PDF | 3 MB
2006 | 336 Pages | ISBN: 0521842581 | PDF | 3 MB
Soa Exam Fam-L: Long Term Actuarial Mathematics eBooks & eLearning
Posted by ELK1nG at April 25, 2023
Soa Exam Fam-L: Long Term Actuarial Mathematics
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.42 GB | Duration: 20h 54m
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.42 GB | Duration: 20h 54m
Covers the contents of course SOA Exam FAM-L
Actuarial Finance: Derivatives, Quantitative Models and Risk Management eBooks & eLearning
Posted by nebulae at March 27, 2019
Mathieu Boudreault and Jean-François Renaud, "Actuarial Finance: Derivatives, Quantitative Models and Risk Management"
English | ISBN: 1119137004 | 2019 | 592 pages | PDF | 9 MB
English | ISBN: 1119137004 | 2019 | 592 pages | PDF | 9 MB
Actuarial Finance: Derivatives, Quantitative Models and Risk Management eBooks & eLearning
Posted by ksveta6 at Sept. 11, 2019
Actuarial Finance: Derivatives, Quantitative Models and Risk Management by Mathieu Boudreault, Jean-François Renaud
2019 | ISBN: 1119137004 | English | 592 pages | EPUB | 7MB
2019 | ISBN: 1119137004 | English | 592 pages | EPUB | 7MB
Actuarial Finance: Derivatives, Quantitative Models and Risk Management eBooks & eLearning
Posted by hill0 at Sept. 11, 2019
Mathieu Boudreault and Jean-François Renaud, "Actuarial Finance: Derivatives, Quantitative Models and Risk Management"
2019 | English | ISBN: 1119137004 | 592 pages | EPUB | 7.45 MB
Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2018 eBooks & eLearning
Posted by AvaxGenius at July 17, 2018
Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2018 by Marco Corazza
English | PDF,EPUB | 2018 | 465 Pages | ISBN : 331989823X | 30.13 MB
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.
Modelling in Life Insurance - A Management Perspective eBooks & eLearning
Posted by Underaglassmoon at May 6, 2016
Modelling in Life Insurance - A Management Perspective
Springer | Finance | June 3 2016 | ISBN-10: 3319297740 | 255 pages | pdf | 4.6 mb
Springer | Finance | June 3 2016 | ISBN-10: 3319297740 | 255 pages | pdf | 4.6 mb
Editors: Laurent, Jean-Paul, Norberg, Ragnar, Planchet, Frédéric (Eds.)
Explores a broad range of aspects of modelling in modern life insurance
Provides views and objectives of the top management of insurance companies
Examines modelling activities within the context of consumer needs, the public interest and business objectives
Actuarial Mathematics for Life Contingent Risks eBooks & eLearning
Posted by interes at Oct. 14, 2021
Actuarial Mathematics for Life Contingent Risks by David C. M. Dickson , Mary R. Hardy
English | January 30, 2020 | ISBN: 1108478085 | 782 pages | PDF | 3 MB
English | January 30, 2020 | ISBN: 1108478085 | 782 pages | PDF | 3 MB
Mathematical and Statistical Methods for Actuarial Sciences and Finance eBooks & eLearning
Posted by ChrisRedfield at May 14, 2014
Marco Corazza, Pizzi Claudio - Mathematical and Statistical Methods for Actuarial Sciences and Finance
Published: 2010-01-19 | ISBN: 8847014808 | PDF | 314 pages | 3 MB