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Mathematical and Statistical Methods for Actuarial Sciences and Finance - eMAF2020 (Hardcover, 1st ed. 2021): Marco Corazza,... Mathematical and Statistical Methods for Actuarial Sciences and Finance - eMAF2020 (Hardcover, 1st ed. 2021)
Marco Corazza, Manfred Gilli, Cira Perna, Claudio Pizzi, Marilena Sibillo
R5,404 Discovery Miles 54 040 Ships in 10 - 15 working days

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.

Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2016 (Paperback, Softcover reprint of the... Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2016 (Paperback, Softcover reprint of the original 1st ed. 2017)
Marco Corazza, Florence Legros, Cira Perna, Marilena Sibillo
R3,263 Discovery Miles 32 630 Ships in 10 - 15 working days

This volume gathers selected peer-reviewed papers presented at the international conference "MAF 2016 - Mathematical and Statistical Methods for Actuarial Sciences and Finance", held in Paris (France) at the Universite Paris-Dauphine from March 30 to April 1, 2016. The contributions highlight new ideas on mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field, one that yields unique theoretical models and practical applications, as well as new insights in the discussion of problems of national and international interest. This volume is addressed to academicians, researchers, Ph.D. students and professionals.

Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2018 (Paperback, Softcover reprint of the... Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2018 (Paperback, Softcover reprint of the original 1st ed. 2018)
Marco Corazza, Maria Durban, Aurea Grane, Cira Perna, Marilena Sibillo
R6,704 Discovery Miles 67 040 Ships in 10 - 15 working days

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.

Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2018 (Hardcover, 1st ed. 2018): Marco Corazza,... Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2018 (Hardcover, 1st ed. 2018)
Marco Corazza, Maria Durban, Aurea Grane, Cira Perna, Marilena Sibillo
R8,211 Discovery Miles 82 110 Ships in 10 - 15 working days

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.

Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2016 (Hardcover, 1st ed. 2017): Marco Corazza,... Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2016 (Hardcover, 1st ed. 2017)
Marco Corazza, Florence Legros, Cira Perna, Marilena Sibillo
R3,272 Discovery Miles 32 720 Ships in 10 - 15 working days

This volume gathers selected peer-reviewed papers presented at the international conference "MAF 2016 - Mathematical and Statistical Methods for Actuarial Sciences and Finance", held in Paris (France) at the Universite Paris-Dauphine from March 30 to April 1, 2016. The contributions highlight new ideas on mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field, one that yields unique theoretical models and practical applications, as well as new insights in the discussion of problems of national and international interest. This volume is addressed to academicians, researchers, Ph.D. students and professionals.

Mathematical and Statistical Methods for Actuarial Sciences and Finance (Paperback, Softcover reprint of the original 1st ed.... Mathematical and Statistical Methods for Actuarial Sciences and Finance (Paperback, Softcover reprint of the original 1st ed. 2014)
Cira Perna, Marilena Sibillo
R3,004 Discovery Miles 30 040 Ships in 10 - 15 working days

This volume aims to collect new ideas presented in the form of 4 page papers dedicated to mathematical and statistical methods in actuarial sciences and finance. The cooperation between mathematicians and statisticians working in insurance and finance is a very fruitful field and provides interesting scientific products in theoretical models and practical applications, as well as in scientific discussion of problems of national and international interest. This work reflects the results discussed at the biennial conference on Mathematical and Statistical Methods for Actuarial Sciences and Finance (MAF), born at the University of Salerno in 2004.

Mathematical and Statistical Methods for Actuarial Sciences and Finance (Hardcover, 2012 ed.): Cira Perna, Marilena Sibillo Mathematical and Statistical Methods for Actuarial Sciences and Finance (Hardcover, 2012 ed.)
Cira Perna, Marilena Sibillo
R4,371 Discovery Miles 43 710 Ships in 10 - 15 working days

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 Insurance and Finance (Hardcover, 2008 ed.): Cira Perna, Marilena Sibillo Mathematical and Statistical Methods for Insurance and Finance (Hardcover, 2008 ed.)
Cira Perna, Marilena Sibillo
R1,590 Discovery Miles 15 900 Ships in 10 - 15 working days

The interaction between mathematicians and statisticians reveals to be an effective approach to the analysis of insurance and financial problems, in particular in an operative perspective.

The Maf2006 conference, held at the University of Salerno in 2006, had precisely this purpose and the collection published here gathers some of the papers presented at the conference and successively worked out to this aim. They cover a wide variety of subjects in insurance and financial fields.

Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2022 (1st ed. 2022): Marco Corazza, Cira Perna,... Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2022 (1st ed. 2022)
Marco Corazza, Cira Perna, Claudio Pizzi, Marilena Sibillo
R5,386 Discovery Miles 53 860 Ships in 10 - 15 working days

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 Insurance and Finance (Paperback, 2008 ed.): Cira Perna, Marilena Sibillo Mathematical and Statistical Methods for Insurance and Finance (Paperback, 2008 ed.)
Cira Perna, Marilena Sibillo
R2,265 R1,342 Discovery Miles 13 420 Save R923 (41%) Ships in 12 - 17 working days

The interaction between mathematicians and statisticians reveals to be an effective approach to the analysis of insurance and financial problems, in particular in an operative perspective. The Maf2006 conference, held at the University of Salerno in 2006, had precisely this purpose and the collection published here gathers some of the papers presented at the conference and successively worked out to this aim. They cover a wide variety of subjects in insurance and financial fields.

Mathematical and Statistical Methods for Actuarial Sciences and Finance - eMAF2020 (Paperback, 1st ed. 2021): Marco Corazza,... Mathematical and Statistical Methods for Actuarial Sciences and Finance - eMAF2020 (Paperback, 1st ed. 2021)
Marco Corazza, Manfred Gilli, Cira Perna, Claudio Pizzi, Marilena Sibillo
R5,372 Discovery Miles 53 720 Ships in 10 - 15 working days

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.

Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2022 (Hardcover, 1st ed. 2022): Marco Corazza,... Mathematical and Statistical Methods for Actuarial Sciences and Finance - MAF 2022 (Hardcover, 1st ed. 2022)
Marco Corazza, Cira Perna, Claudio Pizzi, Marilena Sibillo
R5,418 Discovery Miles 54 180 Ships in 10 - 15 working days

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 Ca 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.

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