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Haipeng Xing
Data Science and Risk Analytics in Finance and Insurance
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5089339Data Science and Risk Analytics in Finance and Insurancehttps://www.gandhi.com.mx/data-science-and-risk-analytics-in-finance-and-insurance-9781351643252/phttps://gandhi.vtexassets.com/arquivos/ids/4631796/image.jpg?v=638578090946930000https://gandhi.vtexassets.com/arquivos/ids/4631763/image.jpg?v=63857809086067000019481948MXNCRC PressInStock/Ebooks/<p>This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. Part I covers the background, financial models, and data analytical methods for market risk, credit risk, and operational risk in financial instruments, as well as models of risk premium and insolvency in insurance contracts. Part II provides an overview of machine learning (including supervised, unsupervised, and reinforcement learning), Monte Carlo simulation, and sequential analysis techniques for risk analytics. In Part III, the book offers a non-technical introduction to four key areas in financial technology: artificial intelligence, blockchain, cloud computing, and big data analytics.</p><p>Key Features:</p><ul><li>Provides a comprehensive and in-depth overview of data science methods for financial and insurance risks.</li><li>Unravels bandits, Markov decision processes, reinforcement learning, and their interconnections.</li><li>Promotes sequential surveillance and predictive analytics for abrupt changes in risk factors.</li><li>Introduces the ABCDs of FinTech: Artificial intelligence, blockchain, cloud computing, and big data analytics.</li><li>Includes supplements and exercises to facilitate deeper comprehension.</li></ul>...4815052Data Science and Risk Analytics in Finance and Insurance19481948https://www.gandhi.com.mx/data-science-and-risk-analytics-in-finance-and-insurance-9781351643252/phttps://gandhi.vtexassets.com/arquivos/ids/4631796/image.jpg?v=638578090946930000https://gandhi.vtexassets.com/arquivos/ids/4631763/image.jpg?v=638578090860670000InStockMXN99999DIEbook20249781351643252_W3siaWQiOiIyZGIzYzg1Zi1lMGUyLTRlNjEtYTRlNi1hZTg1Njk1ODg3N2YiLCJsaXN0UHJpY2UiOjE4OTksImRpc2NvdW50IjowLCJzZWxsaW5nUHJpY2UiOjE4OTksImluY2x1ZGVzVGF4Ijp0cnVlLCJwcmljZVR5cGUiOiJXaG9sZXNhbGUiLCJjdXJyZW5jeSI6Ik1YTiIsImZyb20iOiIyMDI1LTAxLTE1VDE2OjAwOjAwWiIsInJlZ2lvbiI6Ik1YIiwiaXNQcmVvcmRlciI6ZmFsc2V9XQ==9781351643252_<p>This book presents statistics and data science methods for risk analytics in quantitative finance and insurance. Part I covers the background, financial models, and data analytical methods for market risk, credit risk, and operational risk in financial instruments, as well as models of risk premium and insolvency in insurance contracts. Part II provides an overview of machine learning (including supervised, unsupervised, and reinforcement learning), Monte Carlo simulation, and sequential analysis techniques for risk analytics. In Part III, the book offers a non-technical introduction to four key areas in financial technology: artificial intelligence, blockchain, cloud computing, and big data analytics.</p><p>Key Features:</p><ul><li>Provides a comprehensive and in-depth overview of data science methods for financial and insurance risks.</li><li>Unravels bandits, Markov decision processes, reinforcement learning, and their interconnections.</li><li>Promotes sequential surveillance and predictive analytics for abrupt changes in risk factors.</li><li>Introduces the ABCDs of FinTech: Artificial intelligence, blockchain, cloud computing, and big data analytics.</li><li>Includes supplements and exercises to facilitate deeper comprehension.</li></ul>...9781351643252_CRC Presslibro_electonico_9781351643252_9781351643252Haipeng XingInglésMéxico2024-10-02T00:00:00+00:00https://getbook.kobo.com/koboid-prod-public/taylorandfrancis-epub-d96979e1-5dc3-4ba1-9979-d5ff613ebf7c.epub2024-10-02T00:00:00+00:00CRC Press