{"title":"Series: Princeton Lectures in Finance","description":"\u003cp\u003eThe \u003cstrong\u003ePrinceton Lectures in Finance\u003c\/strong\u003e series offers a deep dive into the principles and complexities of finance, blending rigorous analysis with clear exposition. Readers can expect thoughtful explorations of investment strategies, market behaviour, and financial theory, crafted for both aspiring professionals and curious minds interested in the mechanics of money and markets.\u003c\/p\u003e\n\n\u003cp\u003eBridging finance with broader themes in \u003cem\u003ebusiness, economics, and psychology\u003c\/em\u003e, this collection enriches understanding beyond numbers, drawing connections that illuminate the impact of finance on society and individual decision-making.\u003c\/p\u003e","products":[{"product_id":"machine-learning-in-asset-pricing-by-stefan-nagel-9780691218700","title":"Machine Learning in Asset Pricing","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eA groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing.\u003c\/p\u003e\n\n\u003cp\u003eInvestors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing.\u003c\/p\u003e\n\n\u003cp\u003eIn this book, Stefan Nagel examines the promises and challenges of ML applications in asset pricing. Asset pricing problems are substantially different from the settings for which ML tools were developed originally. To realise the potential of ML methods, they must be adapted for the specific conditions in asset pricing applications. Economic considerations, such as portfolio optimisation, absence of near arbitrage, and investor learning, can guide the selection and modification of ML tools.\u003c\/p\u003e\n\n\u003cp\u003eBeginning with a brief survey of basic supervised ML methods, Nagel then discusses the application of these techniques in empirical research in asset pricing and shows how they promise to advance the theoretical modelling of financial markets.\u003c\/p\u003e\n\n\u003cp\u003e\u003cem\u003eMachine Learning in Asset Pricing\u003c\/em\u003e presents the exciting possibilities of using cutting-edge methods in research on financial asset valuation.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Hachette Aotearoa New Zealand","offers":[{"title":"Default Title","offer_id":47471090008300,"sku":"9780691218700","price":99.99,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9780691218700-machine-learning-in-asset-pricing.jpg?v=1775233860"}],"url":"https:\/\/bookhero.co.nz\/collections\/series-princeton-lectures-in-finance.oembed","provider":"Book Hero","version":"1.0","type":"link"}