Name: Mathematical and Statistical Methods for Actuarial Sciences and Finance: Emaf2020 (en Inglés)
SKU: 57459456
Price: 162.87 USD
Availability: InStock
Author: Corazza, Marco ; Gilli, Manfred ; Perna, Cira

portada Mathematical and Statistical Methods for Actuarial Sciences and Finance: Emaf2020 (en Inglés)

Mathematical and Statistical Methods for Actuarial Sciences and Finance: Emaf2020 (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Corazza, Marco ; Gilli, Manfred ; Perna, Cira

Idioma

Inglés

N° páginas

401

Encuadernación

Tapa Dura

Dimensiones

23.4x15.6x2.4 cm

Peso

0.76 kg.

ISBN13

9783030789640

Categorías

Macroeconomía
Industrias de hostelería y servicios
Matemáticas aplicadas

Mathematical and Statistical Methods for Actuarial Sciences and Finance: Emaf2020 (en Inglés)

Corazza, Marco ; Gilli, Manfred ; Perna, Cira (Autor) · Springer · Tapa Dura

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Reseña del libro "Mathematical and Statistical Methods for Actuarial Sciences and Finance: Emaf2020 (en Inglés)"

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.