Estimation of the Continuous and Discontinuous Leverage Effects


Book Description

This paper examines the leverage effect, or the generally negative covariation between asset returns and their changes in volatility, under a general setup that allows the log-price and volatility processes to be Ito semimartingales. We decompose the leverage effect into continuous and discontinuous parts and develop statistical methods to estimate them. We establish the asymptotic properties of these estimators. We also extend our methods and results to the situation where there is market microstructure noise in the observed returns. We show in Monte Carlo simulations that our estimators have good finite sample performance. When applying our methods to real data, our empirical results provide convincing evidence of the presence of the two leverage effects, especially the discontinuous one.




Handbook of Research Methods and Applications in Empirical Finance


Book Description

This impressive Handbook presents the quantitative techniques that are commonly employed in empirical finance research together with real-world, state-of-the-art research examples. Written by international experts in their field, the unique approach describes a question or issue in finance and then demonstrates the methodologies that may be used to solve it. All of the techniques described are used to address real problems rather than being presented for their own sake, and the areas of application have been carefully selected so that a broad range of methodological approaches can be covered. The Handbook is aimed primarily at doctoral researchers and academics who are engaged in conducting original empirical research in finance. In addition, the book will be useful to researchers in the financial markets and also advanced Masters-level students who are writing dissertations.




High-Frequency Financial Econometrics


Book Description

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.




Handbook of Financial Time Series


Book Description

The Handbook of Financial Time Series gives an up-to-date overview of the field and covers all relevant topics both from a statistical and an econometrical point of view. There are many fine contributions, and a preamble by Nobel Prize winner Robert F. Engle.




The Elements of Financial Econometrics


Book Description

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.




Asset Price Dynamics, Volatility, and Prediction


Book Description

This book shows how current and recent market prices convey information about the probability distributions that govern future prices. Moving beyond purely theoretical models, Stephen Taylor applies methods supported by empirical research of equity and foreign exchange markets to show how daily and more frequent asset prices, and the prices of option contracts, can be used to construct and assess predictions about future prices, their volatility, and their probability distributions. Stephen Taylor provides a comprehensive introduction to the dynamic behavior of asset prices, relying on finance theory and statistical evidence. He uses stochastic processes to define mathematical models for price dynamics, but with less mathematics than in alternative texts. The key topics covered include random walk tests, trading rules, ARCH models, stochastic volatility models, high-frequency datasets, and the information that option prices imply about volatility and distributions. Asset Price Dynamics, Volatility, and Prediction is ideal for students of economics, finance, and mathematics who are studying financial econometrics, and will enable researchers to identify and apply appropriate models and methods. It will likewise be a valuable resource for quantitative analysts, fund managers, risk managers, and investors who seek realistic expectations about future asset prices and the risks to which they are exposed.




Handbook of Research in Education Finance and Policy


Book Description

Sponsored by the Association for Education Finance and Policy (AEFP), this groundbreaking new handbook assembles in one place the existing research-based knowledge in education finance and policy, thereby helping to define this evolving field of research and practice. It provides a readily available resource for anyone seriously involved in education finance and policy in the United States and around the world. The Handbook traces the evolution of the field from its initial focus on school inputs and the revenue sources used to finance these inputs to a focus on educational outcomes and the larger policies used to achieve them. It shows how the current decision-making context in school finance inevitably interacts with those of governance, accountability, equity, privatization, and other areas of education policy. Because a full understanding of the important contemporary issues requires input from a variety of perspectives, the Handbook draws on contributors from a variety of disciplines. While many of the chapters cover complex state-of-the-art empirical research, the authors explain key concepts in language that non-specialists can understand.




Biochemical Methods


Book Description

This book gives a profound overview on the relevant biochemical techniques. Moreover, it refers to laboratory equipment and safety aspects and explains how to obtain relevant biochemical information. It provides an introduction into physical-chemical processes and mathematical methods required for the interpretation of data. Principles of expensive instrumental analysis are also explained and a presentation of safety considerations and regulatory issues according to international requirements is given. With its practical approach the book is not only highly useful for professionals - laboratory technicians and scientists - but also for students. Special feature: a CD-ROM on quantitative analysis of biochemical experiments! "... An ideal how-to for those working in biochemistry." CHEMIE in unserer Zeit "... and anyone working in a biochemical laboratory will find it useful. Strongly recommended." Laboratory News




The Econometric Modelling of Financial Time Series


Book Description

Terence Mills' best-selling graduate textbook provides detailed coverage of research techniques and findings relating to the empirical analysis of financial markets. In its previous editions it has become required reading for many graduate courses on the econometrics of financial modelling. This third edition, co-authored with Raphael Markellos, contains a wealth of material reflecting the developments of the last decade. Particular attention is paid to the wide range of nonlinear models that are used to analyse financial data observed at high frequencies and to the long memory characteristics found in financial time series. The central material on unit root processes and the modelling of trends and structural breaks has been substantially expanded into a chapter of its own. There is also an extended discussion of the treatment of volatility, accompanied by a new chapter on nonlinearity and its testing.