{"product_id":"analysis-of-financial-time-series","title":"Analysis of Financial Time Series","description":"\u003cb\u003ePraise for the \u003ci\u003eSecond Edition\u003c\/i\u003e\u003c\/b\u003e  \u003cp\u003e\". . . too wonderful a book to be missed by anyone who works in time series analysis.\"\u003cbr\u003e —\u003cb\u003e\u003ci\u003eJournal of Statistical Computation and Simulation\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\"All in all this is an excellent account on financial time series...with plenty of intuitive insight of how exactly these models work...\"\u003cbr\u003e —\u003cb\u003e\u003ci\u003eMAA Reviews\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSince publication of the first edition, \u003ci\u003eAnalysis of Financial Time Series\u003c\/i\u003e has served as one of the most influential and prominent works on the subject. This \u003ci\u003eThird Edition\u003c\/i\u003e now utilizes the freely available R software package to explore empirical financial data and illustrate related computation and analyses using real-world examples. Retaining the fundamental and hands-on style of its predecessor, this new edition continues to serve as the cornerstone for understanding the important statistical methods and techniques for working with financial data.\u003c\/p\u003e \u003cp\u003eAccessible explanations and numerous interesting examples assist readers with understanding analysis and application of univariate financial time series; return series of multiple assets; and Bayesian inference in finance methods. The latest developments in financial econometrics are explored in-depth, such as realized volatility, volatility with skew innovations, conditional value at risk, statistical arbitrage, and applications of duration and dynamic-correlation models. Additional features of the Third Edition include:\u003c\/p\u003e \u003cul\u003e \u003cli\u003e \u003cp\u003eApplications of nonlinear duration models throughout all discussion of high-frequency data analysis and market microstructure\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eNewly added applications of nonlinear models and methods\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eAn updated chapter on multivariate time series analysis that explores the relevance of cointegration to pairs trading\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eA new, unified approach to value at risk (VaR) via loss function\u003c\/p\u003e \u003c\/li\u003e \u003cli\u003e \u003cp\u003eAn introduction to extremal index for dependence data in the discussion of extreme values, quantiles, and value at risk\u003c\/p\u003e \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe use of both R and S-PLUS software with the book's numerous examples and exercises ensures that readers can reproduce the results shown in the book and apply the detailed steps and procedures to their own work. New and updated exercises throughout provide opportunities to test comprehension of the presented material, and a related Web site houses additional data sets and related software programs.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eAnalysis of Financial Time Series\u003c\/i\u003e, Third Edition is an ideal book for introductory courses on time series at the graduate level and a valuable supplement for statistics courses in time series at the upper-undergraduate level. It also serves as an indispensible reference for researchers and practitioners working in business and finance.\u003c\/p\u003e","brand":"Ruey S. Tsay","offers":[{"title":"Default Title","offer_id":42849587003453,"sku":"9780470414354","price":220.46,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0597\/7689\/2989\/files\/9780470414354_3c121ea5-a515-4ba2-8528-e72ad3168a41.jpg?v=1767038512","url":"https:\/\/www.palmleaf.com.au\/products\/analysis-of-financial-time-series","provider":"Palmleaf","version":"1.0","type":"link"}