Mathematical and Statistical Methods for Actuarial Sciences and Finance

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Release : 2011-10-06
Genre : Mathematics
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Book Rating : 416/5 ( reviews)

Mathematical and Statistical Methods for Actuarial Sciences and Finance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical and Statistical Methods for Actuarial Sciences and Finance write by Cira Perna. This book was released on 2011-10-06. Mathematical and Statistical Methods for Actuarial Sciences and Finance available in PDF, EPUB and Kindle. The book develops the capabilities arising from the cooperation between mathematicians and statisticians working in insurance and finance fields. It gathers some of the papers presented at the conference MAF2010, held in Ravello (Amalfi coast), and successively, after a reviewing process, worked out to this aim.

Mathematical and Statistical Methods for Actuarial Sciences and Finance

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Release : 2022-04-11
Genre : Mathematics
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Book Rating : 387/5 ( reviews)

Mathematical and Statistical Methods for Actuarial Sciences and Finance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical and Statistical Methods for Actuarial Sciences and Finance write by Marco Corazza. This book was released on 2022-04-11. Mathematical and Statistical Methods for Actuarial Sciences and Finance available in PDF, EPUB and Kindle. The cooperation and contamination among mathematicians, statisticians and econometricians working in actuarial sciences and finance are 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 MAF2022 – Mathematical and Statistical Methods for Actuarial Sciences and Finance. Due to the COVID-19 pandemic, the conference, to which this book is related, was organized in a hybrid form by the Department of Economics and Statistics of the University of Salerno, with the partnership of the Department of Economics of Cà Foscari University of Venice, and was held from 20 to 22 April 2022 in Salerno (Italy) MAF2022 is the tenth edition of an international biennial series of scientific meetings, started in 2004 on the initiative of the Department of Economics and Statistics of the University of Salerno. It has established itself internationally with gradual and continuous growth and scientific enrichment. The effectiveness of this idea has been proven by the wide participation in all the editions, which have been held in Salerno (2004, 2006, 2010, 2014, 2022), Venice (2008, 2012 and 2020 online), Paris (2016) and Madrid (2018). This book covers a wide variety of subjects: artificial intelligence and machine learning in finance and insurance, behavioural 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.

Mathematical and Statistical Methods for Actuarial Sciences and Finance

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Book Rating : 732/5 ( reviews)

Mathematical and Statistical Methods for Actuarial Sciences and Finance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical and Statistical Methods for Actuarial Sciences and Finance write by Marco Corazza. This book was released on . Mathematical and Statistical Methods for Actuarial Sciences and Finance available in PDF, EPUB and Kindle.

Mathematical and Statistical Methods for Actuarial Sciences and Finance

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Release : 2024-08-02
Genre : Mathematics
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Book Rating : 722/5 ( reviews)

Mathematical and Statistical Methods for Actuarial Sciences and Finance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical and Statistical Methods for Actuarial Sciences and Finance write by Marco Corazza. This book was released on 2024-08-02. Mathematical and Statistical Methods for Actuarial Sciences and Finance available in PDF, EPUB and Kindle. The book presents a collection of peer-reviewed short papers selected from those presented at the International Conference Mathematical and Statistical Methods for Actuarial Sciences and Finance – MAF2024. The year 2024 marks the twentieth anniversary of the first edition of this conference. The idea behind this book is that collaboration and cross-pollination between mathematicians and statisticians working in actuarial sciences and finance could enhance research in these fields. The effectiveness of this concept has been demonstrated by widespread participation across all editions, held at various locations including the University of Salerno, Italy (2004, 2006, 2010, 2014, and 2022); Ca' Foscari University of Venice, Italy (2008, 2012, and 2020); University Paris-Dauphine in Paris, France (2016); University Carlos III of Madrid, Madrid (2018); and University of Le Havre Normandie, Le Havre, France (2024). This effectiveness is also evident in the attention consistently shown by both the scientific community and professionals toward the volumes of peer-reviewed papers accompanying all past editions of MAF. The book is a valuable resource for academics, researchers, Ph.D. students, and professionals. Furthermore, it is also of interest to other readers with a quantitative background.

Mathematical and Statistical Methods for Actuarial Sciences and Finance

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Release : 2018-07-17
Genre : Business & Economics
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Book Rating : 248/5 ( reviews)

Mathematical and Statistical Methods for Actuarial Sciences and Finance - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mathematical and Statistical Methods for Actuarial Sciences and Finance write by Marco Corazza. This book was released on 2018-07-17. Mathematical and Statistical Methods for Actuarial Sciences and Finance available in PDF, EPUB and Kindle. 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.