Essays on the Volatility of Macroeconomic and Financial Time Series
| Author | : Wei-Choun Yu |
| Publisher | : |
| Total Pages | : 144 |
| Release | : 2006 |
| Genre | : Financial instruments |
| ISBN | : |
Essays On The Volatility Of Macroeconomic And Financial Time Series
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Volatility and Time Series Econometrics
| Author | : Mark Watson |
| Publisher | : Oxford University Press |
| Total Pages | : 432 |
| Release | : 2010-02-11 |
| Genre | : Business & Economics |
| ISBN | : 0199549494 |
A volume that celebrates and develops the work of Nobel Laureate Robert Engle, it includes original contributions from some of the world's leading econometricians that further Engle's work in time series economics
Analysis of Financial Time Series
| Author | : Ruey S. Tsay |
| Publisher | : Wiley-Interscience |
| Total Pages | : 472 |
| Release | : 2001-11-01 |
| Genre | : Business & Economics |
| ISBN | : 9780471415442 |
Fundamental topics and new methods in time series analysis Analysis 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. 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; and Bayesian inference in finance methods. Timely topics and recent results include: Value at Risk (VaR) High-frequency financial data analysis Markov Chain Monte Carlo (MCMC) methods Derivative pricing using jump diffusion with closed-form formulas VaR calculation using extreme value theory based on a non-homogeneous two-dimensional Poisson process Multivariate volatility models with time-varying correlations Ideal as a fundamental introduction to time series for MBA students or as a reference for researchers and practitioners in business and finance, Analysis of Financial Time Series offers an in-depth and up-to-date account of these vital methods.
Brookings Papers on Economic Activity: Spring 2012
| Author | : Herman Royer Professor of Political Economy David H Romer |
| Publisher | : Brookings Institution Press |
| Total Pages | : 423 |
| Release | : 2012-08-31 |
| Genre | : Business & Economics |
| ISBN | : 0815724322 |
"Brookings Papers on Economic Activity" (BPEA) provides academic and business economists, government officials, and members of the financial and business communities with timely research on current economic issues. Contents - Democratic Change in the Arab World, Past and Present Eric Chaney (Harvard University) - Disentangling the Channels of the 2007-2009 Recession James Stock (Harvard University) and Mark Watson (Princeton University) - Macroeconomic Effects of FOMC Forward Guidance Jeffrey Campbell, Charles Evans, Jonas Fisher, and Alejandro Justiniano (Federal Reserve Bank of Chicago) - Is the Debt Overhang Holding Back Consumption? Karen Dynan (Brookings Institution) - The Euro's Three Crises Jay Shambaugh (Georgetown University) - Fiscal Policy in a Depressed Economy J. Bradford DeLong (University of California-Berkeley) and Lawrence Summers (Harvard University )
Volatility and Time Series Econometrics
| Author | : Tim Bollerslev |
| Publisher | : OUP Oxford |
| Total Pages | : 432 |
| Release | : 2010-02-11 |
| Genre | : Business & Economics |
| ISBN | : 0191572195 |
Robert Engle received the Nobel Prize for Economics in 2003 for his work in time series econometrics. This book contains 16 original research contributions by some the leading academic researchers in the fields of time series econometrics, forecasting, volatility modelling, financial econometrics and urban economics, along with historical perspectives related to field of time series econometrics more generally. Engle's Nobel Prize citation focuses on his path-breaking work on autoregressive conditional heteroskedasticity (ARCH) and the profound effect that this work has had on the field of financial econometrics. Several of the chapters focus on conditional heteroskedasticity, and develop the ideas of Engle's Nobel Prize winning work. Engle's work has had its most profound effect on the modelling of financial variables and several of the chapters use newly developed time series methods to study the behavior of financial variables. Each of the 16 chapters may be read in isolation, but they all importantly build on and relate to the seminal work by Nobel Laureate Robert F. Engle.
Recent Econometric Techniques for Macroeconomic and Financial Data
| Author | : Gilles Dufrénot |
| Publisher | : Springer Nature |
| Total Pages | : 387 |
| Release | : 2020-11-21 |
| Genre | : Business & Economics |
| ISBN | : 3030542521 |
The book provides a comprehensive overview of the latest econometric methods for studying the dynamics of macroeconomic and financial time series. It examines alternative methodological approaches and concepts, including quantile spectra and co-spectra, and explores topics such as non-linear and non-stationary behavior, stochastic volatility models, and the econometrics of commodity markets and globalization. Furthermore, it demonstrates the application of recent techniques in various fields: in the frequency domain, in the analysis of persistent dynamics, in the estimation of state space models and new classes of volatility models. The book is divided into two parts: The first part applies econometrics to the field of macroeconomics, discussing trend/cycle decomposition, growth analysis, monetary policy and international trade. The second part applies econometrics to a wide range of topics in financial economics, including price dynamics in equity, commodity and foreign exchange markets and portfolio analysis. The book is essential reading for scholars, students, and practitioners in government and financial institutions interested in applying recent econometric time series methods to financial and economic data.
Essays in Honour of Fabio Canova
| Author | : Juan J. Dolado |
| Publisher | : Emerald Group Publishing |
| Total Pages | : 188 |
| Release | : 2022-09-21 |
| Genre | : Business & Economics |
| ISBN | : 1803828331 |
Both parts of Volume 44 of Advances in Econometrics pay tribute to Fabio Canova for his major contributions to economics over the last four decades.
Analysis of Financial Time Series
| Author | : Ruey S. Tsay |
| Publisher | : John Wiley & Sons |
| Total Pages | : 724 |
| Release | : 2010-10-26 |
| Genre | : Mathematics |
| ISBN | : 1118017099 |
This 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 to R; and expanded empirical financial data sets. The overall objective of the book is to provide some knowledge of financial time series, introduce some statistical tools useful for analyzing these series and gain experience in financial applications of various econometric methods.
Modeling Financial Time Series with S-PLUS
| Author | : Eric Zivot |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 632 |
| Release | : 2013-11-11 |
| Genre | : Business & Economics |
| ISBN | : 0387217630 |
The field of financial econometrics has exploded over the last decade This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance industry, academic researchers in economics and finance, and advanced MBA and graduate students in economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts. This Second Edition is updated to cover S+FinMetrics 2.0 and includes new chapters on copulas, nonlinear regime switching models, continuous-time financial models, generalized method of moments, semi-nonparametric conditional density models, and the efficient method of moments. Eric Zivot is an associate professor and Gary Waterman Distinguished Scholar in the Economics Department, and adjunct associate professor of finance in the Business School at the University of Washington. He regularly teaches courses on econometric theory, financial econometrics and time series econometrics, and is the recipient of the Henry T. Buechel Award for Outstanding Teaching. He is an associate editor of Studies in Nonlinear Dynamics and Econometrics. He has published papers in the leading econometrics journals, including Econometrica, Econometric Theory, the Journal of Business and Economic Statistics, Journal of Econometrics, and the Review of Economics and Statistics. Jiahui Wang is an employee of Ronin Capital LLC. He received a Ph.D. in Economics from the University of Washington in 1997. He has published in leading econometrics journals such as Econometrica and Journal of Business and Economic Statistics, and is the Principal Investigator of National Science Foundation SBIR grants. In 2002 Dr. Wang was selected as one of the "2000 Outstanding Scholars of the 21st Century" by International Biographical Centre.
Portfolio Selection and Asset Pricing
| Author | : Shouyang Wang |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 260 |
| Release | : 2012-12-06 |
| Genre | : Business & Economics |
| ISBN | : 3642559344 |
In our daily life, almost every family owns a portfolio of assets. This portfolio could contain real assets such as a car, or a house, as well as financial assets such as stocks, bonds or futures. Portfolio theory deals with how to form a satisfied portfolio among an enormous number of assets. Originally proposed by H. Markowtiz in 1952, the mean-variance methodology for portfolio optimization has been central to the research activities in this area and has served as a basis for the development of modem financial theory during the past four decades. Follow-on work with this approach has born much fruit for this field of study. Among all those research fruits, the most important is the capital asset pricing model (CAPM) proposed by Sharpe in 1964. This model greatly simplifies the input for portfolio selection and makes the mean-variance methodology into a practical application. Consequently, lots of models were proposed to price the capital assets. In this book, some of the most important progresses in portfolio theory are surveyed and a few new models for portfolio selection are presented. Models for asset pricing are illustrated and the empirical tests of CAPM for China's stock markets are made. The first chapter surveys ideas and principles of modeling the investment decision process of economic agents. It starts with the Markowitz criteria of formulating return and risk as mean and variance and then looks into other related criteria which are based on probability assumptions on future prices of securities.
