{"product_id":"machine-learning-for-financial-risk-management-with-python-algorithms-for-modeling-risk-paperback","title":"Machine Learning for Financial Risk Management with Python: Algorithms for Modeling Risk - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAbdullah Karasan\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFinancial risk management is quickly evolving with the help of artificial intelligence. With this practical book, developers, programmers, engineers, financial analysts, risk analysts, and quantitative and algorithmic analysts will examine Python-based machine learning and deep learning models for assessing financial risk. Building hands-on AI-based financial modeling skills, you'll learn how to replace traditional financial risk models with ML models. \u003c\/p\u003e\u003cp\u003e Author Abdullah Karasan helps you explore the theory behind financial risk modeling before diving into practical ways of employing ML models in modeling financial risk using Python. With this book, you will: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eReview classical time series applications and compare them with deep learning models \u003c\/li\u003e\n\u003cli\u003eExplore volatility modeling to measure degrees of risk, using support vector regression, neural networks, and deep learning \u003c\/li\u003e\n\u003cli\u003eImprove market risk models (VaR and ES) using ML techniques and including liquidity dimension \u003c\/li\u003e\n\u003cli\u003eDevelop a credit risk analysis using clustering and Bayesian approaches \u003c\/li\u003e\n\u003cli\u003eCapture different aspects of liquidity risk with a Gaussian mixture model and Copula model \u003c\/li\u003e\n\u003cli\u003eUse machine learning models for fraud detection \u003c\/li\u003e\n\u003cli\u003ePredict stock price crash and identify its determinants using machine learning models \u003c\/li\u003e\n\u003c\/ul\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eAbdullah Karasan was born in Berlin, Germany. After studying economics and business administration, he obtained his master's degree in applied economics from the University of Michigan, Ann Arbor, and his PhD in financial mathematics from the Middle East Technical University, Ankara. He is a former Treasury employee of Turkey and currently works as a principal data scientist at Magnimind and as a lecturer at the University of Maryland, Baltimore. He has also published several papers in the field of financial data science.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 331\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.7 x 9.19 x 7 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 11, 2022\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212918702329,"sku":"9781492085256","price":89.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/Sy84c0xydEV6T3NTSFVIaVQvNnJYdz09.webp?v=1768098988","url":"https:\/\/bookscloud.io\/products\/machine-learning-for-financial-risk-management-with-python-algorithms-for-modeling-risk-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}