{"product_id":"9781119791386","title":"Machine Learning for Risk Calculations A Practitioner's View","description":"\u003ch3\u003eThe Wiley Finance Series\u003c\/h3\u003e\u003ch1\u003eMachine Learning for Risk Calculations\u003c\/h1\u003e\u003ch2\u003eA Practitioner's View\u003c\/h2\u003e\u003ch3\u003eIgnacio Ruiz | Mariano Zeron\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eBusiness \u0026amp; Economics \/ Finance \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp\u003e\u003cb\u003eState-of-the-art algorithmic deep learning and tensoring techniques for financial institutions\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe computational demand of risk calculations in financial institutions has ballooned and shows no sign of stopping. It is no longer viable to simply add more computing power to deal with this increased demand. The solution? Algorithmic solutions based on deep learning and Chebyshev tensors represent a practical way to reduce costs while simultaneously increasing risk calculation capabilities. \u003ci\u003eMachine Learning for Risk Calculations: A Practitioner’s View\u003c\/i\u003e provides an in-depth review of a number of algorithmic solutions and demonstrates how they can be used to overcome the massive computational burden of risk calculations in financial institutions.\u003c\/p\u003e \u003cp\u003eThis book will get you started by reviewing fundamental techniques, including deep learning and Chebyshev tensors. You’ll then discover algorithmic tools that, in combination with the fundamentals, deliver actual solutions to the real problems financial institutions encounter on a regular basis. Numerical tests and examples demonstrate how these solutions can be applied to practical problems, including XVA and Counterparty Credit Risk, IMM capital, PFE, VaR, FRTB, Dynamic Initial Margin, pricing function calibration, volatility surface parametrisation, portfolio optimisation and others. Finally, you’ll uncover the benefits these techniques provide, the practicalities of implementing them, and the software which can be used.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eReview the fundamentals of deep learning and Chebyshev tensors\u003c\/li\u003e \u003cli\u003eDiscover pioneering algorithmic techniques that can create new opportunities in complex risk calculation\u003c\/li\u003e \u003cli\u003eLearn how to apply the solutions to a wide range of real-life risk calculations.\u003c\/li\u003e \u003cli\u003eDownload sample code used in the book, so you can follow along and experiment with your own calculations\u003c\/li\u003e \u003cli\u003eRealize improved risk management whilst overcoming the burden of limited computational power\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eQuants, IT professionals, and financial risk managers will benefit from this practitioner-oriented approach to state-of-the-art risk calculation.\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e \u003cp\u003e\u003cb\u003eIGNACIO RUIZ, PhD,\u003c\/b\u003e is the head of Counterparty Credit Risk Measurement and Analytics at Scotiabank. Prior to that he has been head quant for Counterparty Credit Risk Exposure Analytics at Credit Suisse, head of Equity Risk Analytics at BNP Paribas and he founded MoCaX Intelligence, from where he offered his services as an independent consultant. He holds a PhD in Physics from the University of Cambridge. \u003c\/p\u003e \u003cp\u003e\u003cb\u003eMARIANO ZERON, PhD,\u003c\/b\u003e is Head of Research and Development at MoCaX Intelligence. Prior to that he was a quant researcher at Areski Capital. He has extensive experience with Chebyshev Tensors and Deep Neural Nets applied to risk calculations. He holds a PhD in Mathematics from the University of Cambridge. \u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e05 January 2022\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eWiley\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781119791386\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003eHardback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e464\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight (oz): \u003c\/td\u003e\n\u003ctd\u003e28.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":44379088191628,"sku":"9781119791386","price":75.6,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781119791386.jpg?v=1780200702","url":"https:\/\/lateknightbooks.com\/products\/9781119791386","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}