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Analysis of Financial Time Seriesby Ruey S. Tsay
John Wiley & Sons, Inc. 2001; US$ 110.00Analysis of Financial Time Series provides a comprehensive and systematic introduction to financial econometric models and their application to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described. more...
Time Seriesby Ngai Hang Chan
John Wiley & Sons, Inc. 2004; US$ 148.00Elements of Financial Time Series fills a gap in the market in the area of financial time series analysis by giving both conceptual and practical illustrations. Examples and discussions in the later chapters of the book make recent developments in time series more accessible. Examples from finance are maximized as much as possible throughout the book. * Full set of exercises is displayed at the end of each chapter. * First seven chapters cover standard topics in time series at a high-intensity level. * Recent and timely developments in nonstandard time series techniques are illustrated with real finance examples in detail. * Examples are systemically illustrated with S-plus with codes and data available on an associated Web site. more...
Analysis of Financial Time Seriesby Ruey S. Tsay
John Wiley & Sons, Inc. 2005; US$ 148.00Provides statistical tools and techniques needed to understand today's financial markets The Second Edition of this critically acclaimed text provides a comprehensive and systematic introduction to financial econometric models and their applications in modeling and predicting financial time series data. This latest edition continues to emphasize empirical financial data and focuses on real-world examples. Following this approach, readers will master key aspects of financial time series, including volatility modeling, neural network applications, market microstructure and high-frequency financial data, continuous-time models and Ito's Lemma, Value at Risk, multiple returns analysis, financial factor models, and econometric modeling via computation-intensive... more...
Applied Time Series Econometricsby Helmut Lütkepohl; Markus Krätzig; Peter C. B. Phillips; Eric Ghysels; Richard J. Smith
Cambridge University Press 2004; US$ 38.00The cointegration revolution has had a substantial impact on applied analysis. The methods for conducting this analysis are sketched out, reminding the reader of the ideas underlying them and giving sufficient background for empirical work. The treatment can be used as a textbook for courses on applied time series econometrics. more...
An Introduction to Time Series Analysis and Forecastingby Robert A. Yaffee; Monnie McGee
Elsevier 2000; US$ 124.00Providing a clear explanation of the fundamental theory of time series analysis and forecasting, this book couples theory with applications of two popular statistical packages--SAS and SPSS. The text examines moving average, exponential smoothing, Census X-11 deseasonalization, ARIMA, intervention, transfer function, and autoregressive error models and has brief discussions of ARCH and GARCH models. The book features treatments of forecast improvement with regression and autoregression combination models and model and forecast evaluation, along with a sample size analysis for common time series models to attain adequate statistical power. To enhance the book's value as a teaching tool, the data sets and programs used in the book are made available... more...
Benchmarking, Temporal Distribution, and Reconciliation Methods for Time Seriesby Pierre A. Cholette; Estela Bee Dagum
Springer 2006; US$ 99.00Modern economies rely on time series at all levels of activity. Time series are used by decision makers to plan for a better future. This book deals with time series data transformations. In order to facilitate understanding of their properties and limitations of the methods discussed, a real data example is followed throughout the book. more...
Long Memory in Economicsby Alan P. Kirman; Gilles Teyssière
Springer 2007; US$ 129.00Assembles three different strands of long memory analysis: statistical literature on the properties of, and tests for, LRD processes; mathematical literature on the stochastic processes involved; and models from economic theory providing plausible micro foundations for the occurrence of long memory in economics. more...
Handbook of Financial Time Seriesby Torben Gustav Andersen; Richard A. Davis; Jens-Peter Kreib; Thomas Mikosch
Springer 2009; US$ 379.00Offers an overview of the field financial time series and covers various relevant topics from a statistical and an econometrical point of view. This handbook presents among others various aspects of the important GARCH and Stochastic Volatility classes, like for example distribution properties, estimation, forecasting and extreme value theory. more...
Analysis of Financial Time Seriesby Ruey S. Tsay
John Wiley & Sons, Inc. 2010; US$ 145.00This book provides a broad, mature, and systematic introduction to current financial econometric models and their applications to modeling and prediction of financial time series data. It utilizes real-world examples and real financial data throughout the book to apply the models and methods described. The author begins with basic characteristics of financial time series data before covering three main topics: Analysis and application of univariate financial time series The return series of multiple assets Bayesian inference in finance methods Key features of the new edition include additional coverage of modern day topics such as arbitrage, pair trading, realized volatility, and credit risk modeling; a smooth transition from S-Plus... more...
The Foundations of Modern Time Series Analysisby Professor Terence C. Mills
Palgrave Macmillan Ltd. 2011; US$ 110.00This book develops the analysis of Time Series from its formal beginnings in the 1890s through to the publication of Box and Jenkins' watershed publication in 1970, showing how these methods laid the foundations for the modern techniques of Time Series analysis that are in use today. more...









