{"product_id":"mathematical-and-statistical-methods-for-actuarial-sciences-and-finance-maf-2022-9783030996406","title":"Mathematical and Statistical Methods for Actuarial Sciences and Finance: MAF 2022","description":"\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThe cooperation and contamination among mathematicians, statisticians, and econometricians working in actuarial sciences and finance are improving the research on these topics and producing meaningful scientific results. This book 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, held in Salerno (Italy) in April 2022. The conference has established itself internationally with gradual and continuous growth and scientific enrichment, and this book covers a wide variety of subjects. It is a valuable resource for academics, PhD students, practitioners, professionals, and researchers, and is also of interest to other readers with quantitative background knowledge. \u003c\/blockquote\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 443 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 13 April 2023\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Springer Nature Switzerland AG\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003eThe collaboration and interchange between mathematicians, statisticians, and econometricians working in actuarial sciences and finance are propelling the advancement of research on these subjects, resulting in a wealth of meaningful scientific findings. This volume showcases innovative ideas through four to six-page papers presented at the International Conference MAF2022 – Mathematical and Statistical Methods for Actuarial Sciences and Finance. In light of the COVID-19 pandemic, the conference, to which this book is connected, was organized in a hybrid format by the Department of Economics and Statistics of the University of Salerno, in partnership with the Department of Economics of Cà Foscari University of Venice. The conference took place from April 20 to 22, 2022, in Salerno, Italy.\u003cbr\u003e\u003cbr\u003eMAF2022, the tenth edition of an international biennial series of scientific meetings, was initiated in 2004 by the Department of Economics and Statistics of the University of Salerno. Over the years, it has steadily gained recognition and scientific enrichment on a global scale. The success of this concept has been evident through the enthusiastic participation in all previous editions, which have been held in Salerno (2004, 2006, 2010, 2014, 2022), Venice (2008, 2012, and 2020 online), Paris (2016), and Madrid (2018).\u003cbr\u003e\u003cbr\u003eThis book encompasses a diverse range of topics, including 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.\u003cbr\u003e\u003cbr\u003eThe contributions presented in this volume highlight the latest advancements and breakthroughs in the field, fostering a deeper understanding of actuarial sciences and finance. By bringing together experts from various disciplines, MAF2022 contributes to the growth and development of the mathematical and statistical methodologies employed in these domains.\u003cbr\u003e\u003cbr\u003eThe COVID-19 pandemic has posed unique challenges to the organization of scientific conferences, but MAF2022's hybrid format has allowed for the continuation of intellectual discourse and the exchange of ideas despite the restrictions. The conference's success is a testament to the resilience and adaptability of the scientific community, and it serves as a reminder of the importance of collaboration and innovation in addressing complex societal problems.\u003cbr\u003e\u003cbr\u003eIn conclusion, the cooperation and contamination among mathematicians, statisticians, and econometricians working in actuarial sciences and finance are driving the progress of research on these topics, yielding substantial scientific results. This volume, featuring papers presented at MAF2022, showcases innovative ideas and contributes to the advancement of the field. The conference's hybrid format, despite the challenges posed by the pandemic, demonstrates the resilience and adaptability of the scientific community, reinforcing the significance of collaboration and innovation in addressing complex societal challenges.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 700g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 235 x 155 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783030996406\u003cbr\u003e \u003cstrong\u003eEdition number\u003c\/strong\u003e: 1st ed. 2022\u003c\/p\u003e","brand":"Shulph Ink","offers":[{"title":"Paperback \/ softback","offer_id":44270978007290,"sku":"9783030996406","price":149.93,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/noImage_1_c1ec09ac-557d-48f3-aa5a-f092c852f0bc.jpg?v=1686155374","url":"https:\/\/shulphink.com\/products\/mathematical-and-statistical-methods-for-actuarial-sciences-and-finance-maf-2022-9783030996406","provider":"Shulph Ink","version":"1.0","type":"link"}