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A comprehensive introduction to the statistical and econometric methods for analyzing high-frequency financial data High-frequency trading is an algorithm-based computerized trading practice that allows firms to trade stocks in milliseconds. Over the last fifteen years, the use of statistical and econometric methods for analyzing high-frequency financial data has grown exponentially. This growth has been driven by the increasing availability of such data, the technological advancements that make high-frequency trading strategies possible, and the need of practitioners to analyze these data. This comprehensive book introduces readers to these emerging methods and tools of analysis. Yacine Aït-Sahalia and Jean Jacod cover the mathematical foundations of stochastic processes, describe the primary characteristics of high-frequency financial data, and present the asymptotic concepts that their analysis relies on. Aït-Sahalia and Jacod also deal with estimation of the volatility portion of the model, including methods that are robust to market microstructure noise, and address estimation and testing questions involving the jump part of the model. As they demonstrate, the practical importance and relevance of jumps in financial data are universally recognized, but only recently have econometric methods become available to rigorously analyze jump processes. Aït-Sahalia and Jacod approach high-frequency econometrics with a distinct focus on the financial side of matters while maintaining technical rigor, which makes this book invaluable to researchers and practitioners alike.
Panel Data Econometrics: Theory introduces econometric modelling. Written by experts from diverse disciplines, the volume uses longitudinal datasets to illuminate applications for a variety of fields, such as banking, financial markets, tourism and transportation, auctions, and experimental economics. Contributors emphasize techniques and applications, and they accompany their explanations with case studies, empirical exercises and supplementary code in R. They also address panel data analysis in the context of productivity and efficiency analysis, where some of the most interesting applications and advancements have recently been made. - Provides a vast array of empirical applications useful to practitioners from different application environments - Accompanied by extensive case studies and empirical exercises - Includes empirical chapters accompanied by supplementary code in R, helping researchers replicate findings - Represents an accessible resource for diverse industries, including health, transportation, tourism, economic growth, and banking, where researchers are not always econometrics experts
In this book leading German econometricians in different fields present survey articles of the most important new methods in econometrics. The book gives an overview of the field and it shows progress made in recent years and remaining problems.
A compact, master's-level textbook on financial econometrics, focusing on methodology and including real financial data illustrations throughout. The mathematical level is purposely kept moderate, allowing the power of the quantitative methods to be understood without too much technical detail.
Paul A. Samuelson was the first American Nobel Laureate in economics, and the second overall. He was credited for "the scientific work through which he has developed static and dynamic economic theory and actively contributed to raising the level of analysis in economic science." That recognition is now thirty years old and Samuelson remains at work in the cutting edge of the discipline. He is also widely known for a basic textbook that became a landmark learning tool throughout the second half of the twentieth century. This excellent collegial appreciation focuses heavily on Samuelson's Foundations of Economic Analysis. In that work, and a series of brief essays, he has contributed to an integration of statics and dynamics by way of the correspondence principle. He has also combined the multiplier and accelerator mechanisms in a model of economic fluctuations; he has reformed the foundations of consumption theory by his concept of revealed preferences; he has developed or improved several major theorems within international trade; and created theories of maximum efficiency and maximum growth rate. Finally, he has clarified the role of collective goods in resource allocation. In considering the work and life of Samuelson, editor Puttaswamaiah, has assembled a worthy group of brilliant commentators. Among the analytic papers in this volume are "An essay on the Accuracy of Economic Prediction" by L.R. Klein, "Analytical Aspects of Anti-Inflation Policy" by Robert M. Solow, a paper by Vittorangelo Orati on Samuelson's linkage to Schumpeter and Keynes, "Money and Price Theory by Carlo Benetti and Jean Cartelier, and a concluding essay on "The Role of Samuelson's Economics" by Michael Emmett Brady. Most unusual in works of this kind are some strong critical statements, including a pungent examination of vanity as well as creativity in Samuelson's work. What emerges is a clear picture of a special scholar. Scholars and students will welcome it alike-a result that well fits the purpose and character of Samuelson. The festschrift has its origins in several issues of the International Journal of Applied Economics and Econometrics. Professor K. Puttaswamaiah has more than three decades of editing journals in economics. He is a member of the journal; Savings and Development issued at the University of Milan. He is author of Economic Development of Karnataka, Cost-Benefit Analysis, and Nobel Economists: Lives and Contributions.
Part I. Unit roots and trend breaks -- Part II. Structural change
Written by one of the world's leading researchers and writers in the field, Econometric Analysis of Panel Data has become established as the leading textbook for postgraduate courses in panel data. This new edition reflects the rapid developments in the field covering the vast research that has been conducted on panel data since its initial publication. Featuring the most recent empirical examples from panel data literature, data sets are also provided as well as the programs to implement the estimation and testing procedures described in the book. These programs will be made available via an accompanying website which will also contain solutions to end of chapter exercises that will appear in the book. The text has been fully updated with new material on dynamic panel data models and recent results on non-linear panel models and in particular work on limited dependent variables panel data models.
The recent widespread availability of intraday tick-by-tick databases for stocks, options and currencies has had an important impact on research in applied financial econometrics and market microstructure. Econometric Modelling of Stock Market Intraday Activity focuses on the econometric modelling of intraday tick-by-tick transaction data (trades and quote) for stock traded on the New York Stock Exchange (NYSE). Recent quantitative modelling tools such as intraday duration models and GARCH modes are presented. A survey of trading mechanisms in financial markets and a review of market microstructure issues is also included, which allows to gain a better understanding of the motivation underlying the use of the quantitative models. In the empirical applications, the link is made with the models of the market microstructure literature that have proposed an explicit treatment of time in the trading process. Other empirical applications deal with the modelling of intraday volatility and intraday Value-at-Risk. Although the models are applied to data for stock traded on the NYSE, they are not specific to this exchange and could be used to analyze other existing trading mechanisms. Accordingly, this book should be of interest to academics and graduate students involved in empirical finance and applied econometrics, regulators working for exchanges, and practitioners in banks or brokerage firms.
This empirical research methods course enables informed implementation of statistical procedures, giving rise to trustworthy evidence.
We take for granted today that the assessments, measurements, and forecasts of economists are crucial to the decision-making of governments and businesses alike. But less than a century ago that wasn’t the case—economists simply didn’t have the necessary information or statistical tools to understand the ever more complicated modern economy. With Political Arithmetic, Nobel Prize–winning economist Robert Fogel and his collaborators tell the story of economist Simon Kuznets, the founding of the National Bureau of Economic Research, and the creation of the concept of GNP, which for the first time enabled us to measure the performance of entire economies. The book weaves together the many strands of political and economic thought and historical pressures that together created the demand for more detailed economic thinking—Progressive-era hopes for activist government, the production demands of World War I, Herbert Hoover’s interest in business cycles as President Harding’s commerce secretary, and the catastrophic economic failures of the Great Depression—and shows how, through trial and error, measurement and analysis, economists such as Kuznets rose to the occasion and in the process built a discipline whose knowledge could be put to practical use in everyday decision-making. The product of a lifetime of studying the workings of economies and skillfully employing the tools of economics, Political Arithmetic is simultaneously a history of a key period of economic thought and a testament to the power of applied ideas.