{"title":"Series: Elements in Quantitative Finance","description":"\u003cp\u003eThe \u003cem\u003eElements in Quantitative Finance\u003c\/em\u003e series offers a deep dive into the mathematical and computational foundations essential for modern finance. Readers can expect clear explanations of complex models and practical approaches that bridge theory with real-world applications, making it an invaluable resource for professionals and students alike.\u003c\/p\u003e\n\n\u003cp\u003ePerfectly suited for those interested in \u003cstrong\u003eComputing \u0026amp; Technology\u003c\/strong\u003e within the financial sector, this collection unpacks the technical challenges and innovations shaping quantitative analysis today. It appeals to anyone seeking a thorough understanding of the tools and techniques driving financial decision-making.\u003c\/p\u003e","products":[{"product_id":"resampling-asset-prices-by-nikolay-gospodinov-9781009738378","title":"Resampling Asset Prices","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eThe authors introduce a novel bootstrap approach to resampling asset price data that can be used for both finite-maturity assets and equities. The key insight is that they bootstrap primitive objects with more appealing statistical properties to avoid resampling series with strong time-series and cross-sectional dependence.\u003c\/p\u003e\n\n\u003cp\u003eThey then recover the original dependence structure in an internally consistent manner via definitional identities. Their bootstrap is nonparametric in nature and so avoids the common practice of committing to a tightly parameterised pricing model with explicit assumptions on the form of cross-sectional and time-series dependence.\u003c\/p\u003e\n\n\u003cp\u003eThey demonstrate the appealing finite-sample properties of their bootstrap approach in a series of simulation experiments and empirical applications.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47934199333100,"sku":"9781009738378","price":83.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781009738378-resampling-asset-prices.jpg?v=1783904657"},{"product_id":"resampling-asset-prices-by-nikolay-gospodinov-9781009738392","title":"Resampling Asset Prices","description":"\u003cdiv class=\"book-description\"\u003e\n\u003cp\u003eThe authors introduce a novel bootstrap approach to resampling asset price data that can be used for both finite-maturity assets and equities. The key insight is that they bootstrap primitive objects with more appealing statistical properties to avoid resampling series with strong time-series and cross-sectional dependence. They then recover the original dependence structure in an internally consistent manner via definitional identities.\u003c\/p\u003e\n\n\u003cp\u003eTheir bootstrap is nonparametric in nature and so avoids the common practice of committing to a tightly parameterised pricing model with explicit assumptions on the form of cross-sectional and time-series dependence. They demonstrate the appealing finite-sample properties of their bootstrap approach in a series of simulation experiments and empirical applications.\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Unknown","offers":[{"title":"Default Title","offer_id":47934199365868,"sku":"9781009738392","price":242.0,"currency_code":"NZD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0705\/7784\/8556\/files\/9781009738392-resampling-asset-prices.jpg?v=1783904675"}],"url":"https:\/\/bookhero.pro\/collections\/series-elements-in-quantitative-finance.oembed","provider":"Book Hero","version":"1.0","type":"link"}