£149.73

Springer Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2018

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Last 583 days • 583 data points (No recent data available)

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£163.32 £148.30 £151.58 £154.86 £158.13 £161.41 £164.69 09 June 2024 01 November 2024 27 March 2025 19 August 2025 12 January 2026

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214 days · current 7 days 55 days 102 days 27 days 40 days 92 days 46 days 0 54 107 161 214 £150 £152 £153 £154 £158 £160 £162 £163 Days at Price

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Most common price: £150 (214 days, 36.7%)

Price range: £150 - £163

Price levels: 8 different prices over 583 days

Description

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.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 July 2018
Listed Since
13 March 2018

Barcode

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