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EBookClubs

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Book Econometric Analysis of Financial and Economic Time Series

Download or read book Econometric Analysis of Financial and Economic Time Series written by Thomas B. Fomby and published by Emerald Group Publishing. This book was released on 2006-03-01 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: Talks about the time varying betas of the capital asset pricing model, analysis of predictive densities of nonlinear models of stock returns, modelling multivariate dynamic correlations, flexible seasonal time series models, estimation of long-memory time series models, application of the technique of boosting in volatility forecasting, and more.

Book Analysis of Panels and Limited Dependent Variable Models

Download or read book Analysis of Panels and Limited Dependent Variable Models written by Cheng Hsiao and published by Cambridge University Press. This book was released on 1999-07-29 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: This important collection brings together leading econometricians to discuss advances in the areas of the econometrics of panel data. The papers in this collection can be grouped into two categories. The first, which includes chapters by Amemiya, Baltagi, Arellano, Bover and Labeaga, primarily deal with different aspects of limited dependent variables and sample selectivity. The second group of papers, including those by Nerlove, Schmidt and Ahn, Kiviet, Davies and Lahiri, consider issues that arise in the estimation of dyanamic (possibly) heterogeneous panel data models. Overall, the contributors focus on the issues of simplifying complex real-world phenomena into easily generalisable inferences from individual outcomes. As the contributions of G. S. Maddala in the fields of limited dependent variables and panel data were particularly influential, it is a fitting tribute that this volume is dedicated to him.

Book High Dimensional Covariance Matrix Estimation  Shrinkage Toward a Diagonal Target

Download or read book High Dimensional Covariance Matrix Estimation Shrinkage Toward a Diagonal Target written by Mr. Sakai Ando and published by International Monetary Fund. This book was released on 2023-12-08 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: This paper proposes a novel shrinkage estimator for high-dimensional covariance matrices by extending the Oracle Approximating Shrinkage (OAS) of Chen et al. (2009) to target the diagonal elements of the sample covariance matrix. We derive the closed-form solution of the shrinkage parameter and show by simulation that, when the diagonal elements of the true covariance matrix exhibit substantial variation, our method reduces the Mean Squared Error, compared with the OAS that targets an average variance. The improvement is larger when the true covariance matrix is sparser. Our method also reduces the Mean Squared Error for the inverse of the covariance matrix.

Book Developing Econometrics

Download or read book Developing Econometrics written by Hengqing Tong and published by John Wiley & Sons. This book was released on 2011-11-28 with total page 489 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Theories and Methods with Applications to Economics and Business highlights recent advances in statistical theory and methods that benefit econometric practice. It deals with exploratory data analysis, a prerequisite to statistical modelling and part of data mining. It provides recently developed computational tools useful for data mining, analysing the reasons to do data mining and the best techniques to use in a given situation. Provides a detailed description of computer algorithms. Provides recently developed computational tools useful for data mining Highlights recent advances in statistical theory and methods that benefit econometric practice. Features examples with real life data. Accompanying software featuring DASC (Data Analysis and Statistical Computing). Essential reading for practitioners in any area of econometrics; business analysts involved in economics and management; and Graduate students and researchers in economics and statistics.

Book The Time varying parameter Model as an Alternative to Arch for Modeling Changing Conditional Variance

Download or read book The Time varying parameter Model as an Alternative to Arch for Modeling Changing Conditional Variance written by Charles R. Nelson and published by . This book was released on 1988 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: The main econometric issue in testing the Lucas hypothesis (1973) in a times series context is the estimation of the variance conditional on past information. The ARCH model, proposed by Engle (1982), is one way of specifying the conditional variance. But the assumption underlying the ARCH specification is ad-hoc. The existence of ARCH can sometimes be interpreted as evidence of misspecification. Under the assumption that a monetary policy regime is continuously changing, a time-varying-parameter (TVP) model is proposed for the monetary growth function. Based on Kalman filtering estimation of recursive forcast errors and their conditional variances, the Lucas hypothesis is tested for the U.S. economy (1964.1 - 1985.4) using monetary growth as an aggregate demand variable. The Lucas hypothesis is rejected in favor of Friedman's (1977) hypothesis: the conditional variance of monetary growth affects real output directly, not through the coefficients on the forcast error term in the Lucas-type output equation.

Book Error Covariance Matrix Estimation in High Dimensional Approximate Factor Models Using Adaptive Thresholding

Download or read book Error Covariance Matrix Estimation in High Dimensional Approximate Factor Models Using Adaptive Thresholding written by Paul J. Chimenti and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Approximate factor models are popular in nance and economics. A key to eectively utilizing such a model is to accurately estimate the error covariance matrix. Errors related to certain predictors are expected to be correlated and this must be modeled eectively. Adaptive thresholding is a method for estimating the error covariance matrix of such a model. This method is described in detail and a simulation study sheds light on the behavior of this method under dierent sample sizes and parameterizations.

Book Error Components Regression Models and Their Applications

Download or read book Error Components Regression Models and Their Applications written by Swarnjit S. Arora and published by . This book was released on 1973 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this paper, we have developed an operational method for estimating error components regression models when the variance- covariance matrix of the disturbance terms is unkown. Monte Carlo Studies were conducted to compare the relative efficiency of the pooled estimator obtained by this procedure to (a) an ordinary least sources estimator based on data aggregated over time, (b) the covariance estimator, and (d) a generalized least squares estimator based on a known variance-covariance matrix. For T small and large p, this estimator definitely performs better than the other estimators which are also based on an estimated value of the variance-covariance matrix of the disturbances. For p small and large T it compares equally well with other estimators.

Book Missing Data Methods

Download or read book Missing Data Methods written by David M. Drukker and published by Emerald Group Publishing. This book was released on 2011-11-30 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: Part of the "Advances in Econometrics" series, this title contains chapters covering topics such as: Missing-Data Imputation in Nonstationary Panel Data Models; Markov Switching Models in Empirical Finance; Bayesian Analysis of Multivariate Sample Selection Models Using Gaussian Copulas; and, Consistent Estimation and Orthogonality.

Book Time Series Models

Download or read book Time Series Models written by D.R. Cox and published by CRC Press. This book was released on 2020-11-26 with total page 243 pages. Available in PDF, EPUB and Kindle. Book excerpt: The analysis prediction and interpolation of economic and other time series has a long history and many applications. Major new developments are taking place, driven partly by the need to analyze financial data. The five papers in this book describe those new developments from various viewpoints and are intended to be an introduction accessible to readers from a range of backgrounds. The book arises out of the second Seminaire European de Statistique (SEMSTAT) held in Oxford in December 1994. This brought together young statisticians from across Europe, and a series of introductory lectures were given on topics at the forefront of current research activity. The lectures form the basis for the five papers contained in the book. The papers by Shephard and Johansen deal respectively with time series models for volatility, i.e. variance heterogeneity, and with cointegration. Clements and Hendry analyze the nature of prediction errors. A complementary review paper by Laird gives a biometrical view of the analysis of short time series. Finally Astrup and Nielsen give a mathematical introduction to the study of option pricing. Whilst the book draws its primary motivation from financial series and from multivariate econometric modelling, the applications are potentially much broader.

Book Selected Papers of Lawrence R  Klein

Download or read book Selected Papers of Lawrence R Klein written by Lawrence Robert Klein and published by World Scientific. This book was released on 1997 with total page 706 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume contains selected papers of Lawrence R Klein in economics, econometric theory and applications in modeling, forecasting, macroeconomic analysis, international economics and public policy. Nobel Laureate Lawrence Klein's bibliography spans a half-century, including books, articles, and chapters in conference proceedings, festschriften, and thematic books. One such volume of solely scientific collections, mainly from his relatively early articles, has already been published. The present volume is different, it includes some articles, but largely chapters, or book excerpts that were mostly written since 1980, the approximate cut-off date of the prior volume, and the year of his Nobel Prize. Also, it includes things that were published in very limited or obscure editions. Thus it provides a more complete picture of his scholarly career and his current reflections on the state of economic science. All these writings are in the vanguard of thinking about economics in a global domain.The thirty-five-plus selections are organized in five parts, by major themes. An editorial commentary introduces each part. The introductory chapters include Klein's autobiographical research commentary, and his professional life philosophy.

Book Time Series Analysis and Macroeconometric Modelling

Download or read book Time Series Analysis and Macroeconometric Modelling written by Kenneth Frank Wallis and published by Edward Elgar Publishing. This book was released on 1995-01-01 with total page 462 pages. Available in PDF, EPUB and Kindle. Book excerpt: 'An excellent reference volume of this author's work, bringing together articles published over a 25 year span on the statistical analysis of economic time series, large scale macroeconomic modelling and the interface between them.' - Aslib Book Guide This major volume of essays by Kenneth F. Wallis features 28 articles published over a quarter of a century on the statistical analysis of economic time series, large-scale macroeconometric modelling, and the interface between them. The first part deals with time-series econometrics and includes significant early contributions to the development of the LSE tradition in time-series econometrics, which is the dominant British tradition and has considerable influence worldwide. Later sections discuss theoretical and practical issues in modelling seasonality and forecasting with applications in both large-scale and small-scale models. The final section summarizes the research programme of the ESRC Macroeconomic Modelling Bureau, a unique comparison project among economy-wide macroeconometric models.

Book The Generalized Dynamic Factor Model

Download or read book The Generalized Dynamic Factor Model written by and published by . This book was released on 2002 with total page 38 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Estimation of Dynamic Models with Error Components

Download or read book Estimation of Dynamic Models with Error Components written by Theodore Wilbur Anderson and published by . This book was released on 1980 with total page 52 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Handbook of Volatility Models and Their Applications

Download or read book Handbook of Volatility Models and Their Applications written by Luc Bauwens and published by John Wiley & Sons. This book was released on 2012-04-17 with total page 566 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete guide to the theory and practice of volatility models in financial engineering Volatility has become a hot topic in this era of instant communications, spawning a great deal of research in empirical finance and time series econometrics. Providing an overview of the most recent advances, Handbook of Volatility Models and Their Applications explores key concepts and topics essential for modeling the volatility of financial time series, both univariate and multivariate, parametric and non-parametric, high-frequency and low-frequency. Featuring contributions from international experts in the field, the book features numerous examples and applications from real-world projects and cutting-edge research, showing step by step how to use various methods accurately and efficiently when assessing volatility rates. Following a comprehensive introduction to the topic, readers are provided with three distinct sections that unify the statistical and practical aspects of volatility: Autoregressive Conditional Heteroskedasticity and Stochastic Volatility presents ARCH and stochastic volatility models, with a focus on recent research topics including mean, volatility, and skewness spillovers in equity markets Other Models and Methods presents alternative approaches, such as multiplicative error models, nonparametric and semi-parametric models, and copula-based models of (co)volatilities Realized Volatility explores issues of the measurement of volatility by realized variances and covariances, guiding readers on how to successfully model and forecast these measures Handbook of Volatility Models and Their Applications is an essential reference for academics and practitioners in finance, business, and econometrics who work with volatility models in their everyday work. The book also serves as a supplement for courses on risk management and volatility at the upper-undergraduate and graduate levels.

Book Evaluation of Forecast Error Covariance Matrix

Download or read book Evaluation of Forecast Error Covariance Matrix written by Florence Rabier and published by . This book was released on 1993 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: