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Identification, Estimation and Testing of Conditionally Heteroskedastic Factor Models

Identification, Estimation and Testing of Conditionally Heteroskedastic Factor Models PDF Author: Gabriele Fiorentini
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description
We investigate the effects of dynamic heteroskedasticity on statistical factor analysis. We show that identification problems are alleviated when variation in factor variances is accounted for. Our results apply to dynamic APT models and other structural models. We also find that traditional ML estimation of unconditional variance parameters remains consistent if the factor loadings are identified from the unconditional distribution, but their standard errors must be robustified. We develop a simple preliminary LM test for ARCH effects in the common factors, and discuss two-step consistent estimation of the conditional variance parameters. Finally, we conduct a detailed simulation exercise.

Identification, Estimation and Testing of Conditionally Heteroskedastic Factor Models

Identification, Estimation and Testing of Conditionally Heteroskedastic Factor Models PDF Author: Gabriele Fiorentini
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description
We investigate the effects of dynamic heteroskedasticity on statistical factor analysis. We show that identification problems are alleviated when variation in factor variances is accounted for. Our results apply to dynamic APT models and other structural models. We also find that traditional ML estimation of unconditional variance parameters remains consistent if the factor loadings are identified from the unconditional distribution, but their standard errors must be robustified. We develop a simple preliminary LM test for ARCH effects in the common factors, and discuss two-step consistent estimation of the conditional variance parameters. Finally, we conduct a detailed simulation exercise.

Conditionally Heteroskedastic Factor Models : Identification and Instrumental Variables Estimation

Conditionally Heteroskedastic Factor Models : Identification and Instrumental Variables Estimation PDF Author: Renault, Éric
Publisher: Montréal : CIRANO
ISBN:
Category :
Languages : en
Pages : 55

Book Description


Conditionally Heteroskedastic Factor Models

Conditionally Heteroskedastic Factor Models PDF Author: Catherine Doz
Publisher:
ISBN:
Category : Business enterprises
Languages : en
Pages : 0

Book Description


Handbook of Economic Forecasting

Handbook of Economic Forecasting PDF Author: G. Elliott
Publisher: Elsevier
ISBN: 0444513957
Category : Business & Economics
Languages : en
Pages : 1071

Book Description
Section headings in this handbook include: 'Forecasting Methodology; 'Forecasting Models'; 'Forecasting with Different Data Structures'; and 'Applications of Forecasting Methods.'.

Unobserved Components and Time Series Econometrics

Unobserved Components and Time Series Econometrics PDF Author: Siem Jan Koopman
Publisher: Oxford University Press
ISBN: 0199683662
Category : Business & Economics
Languages : en
Pages : 389

Book Description
Presents original and up-to-date studies in unobserved components (UC) time series models from both theoretical and methodological perspectives.

A Practical Guide to Forecasting Financial Market Volatility

A Practical Guide to Forecasting Financial Market Volatility PDF Author: Ser-Huang Poon
Publisher: John Wiley & Sons
ISBN: 0470856157
Category : Business & Economics
Languages : en
Pages : 236

Book Description
Financial market volatility forecasting is one of today's most important areas of expertise for professionals and academics in investment, option pricing, and financial market regulation. While many books address financial market modelling, no single book is devoted primarily to the exploration of volatility forecasting and the practical use of forecasting models. A Practical Guide to Forecasting Financial Market Volatility provides practical guidance on this vital topic through an in-depth examination of a range of popular forecasting models. Details are provided on proven techniques for building volatility models, with guide-lines for actually using them in forecasting applications.

Handbook of Macroeconomics

Handbook of Macroeconomics PDF Author: John B. Taylor
Publisher: Elsevier
ISBN: 0444594787
Category : Business & Economics
Languages : en
Pages : 1376

Book Description
Handbook of Macroeconomics surveys all major advances in macroeconomic scholarship since the publication of Volume 1 (1999), carefully distinguishing between empirical, theoretical, methodological, and policy issues. It courageously examines why existing models failed during the financial crisis, and also addresses well-deserved criticism head on. With contributions from the world's chief macroeconomists, its reevaluation of macroeconomic scholarship and speculation on its future constitute an investment worth making. Serves a double role as a textbook for macroeconomics courses and as a gateway for students to the latest research Acts as a one-of-a-kind resource as no major collections of macroeconomic essays have been published in the last decade

NBER Macroeconomics Annual 2004

NBER Macroeconomics Annual 2004 PDF Author: National Bureau of Economic Research
Publisher: MIT Press
ISBN: 9780262572293
Category : Business & Economics
Languages : en
Pages : 508

Book Description
Papers by leading researchers consider such questions as the effect of government debt on interest rates; technology shocks, demand shocks, and output volatility; and procyclical macroeconomic policies in developing countries.

Bayesian Multivariate Time Series Methods for Empirical Macroeconomics

Bayesian Multivariate Time Series Methods for Empirical Macroeconomics PDF Author: Gary Koop
Publisher: Now Publishers Inc
ISBN: 160198362X
Category : Business & Economics
Languages : en
Pages : 104

Book Description
Bayesian Multivariate Time Series Methods for Empirical Macroeconomics provides a survey of the Bayesian methods used in modern empirical macroeconomics. These models have been developed to address the fact that most questions of interest to empirical macroeconomists involve several variables and must be addressed using multivariate time series methods. Many different multivariate time series models have been used in macroeconomics, but Vector Autoregressive (VAR) models have been among the most popular. Bayesian Multivariate Time Series Methods for Empirical Macroeconomics reviews and extends the Bayesian literature on VARs, TVP-VARs and TVP-FAVARs with a focus on the practitioner. The authors go beyond simply defining each model, but specify how to use them in practice, discuss the advantages and disadvantages of each and offer tips on when and why each model can be used.

Risk Measurement

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Publisher: Springer
ISBN: 3030026809
Category : Business & Economics
Languages : en
Pages : 215

Book Description
This book combines theory and practice to analyze risk measurement from different points of view. The limitations of a model depend on the framework on which it has been built as well as specific assumptions, and risk managers need to be aware of these when assessing risks. The authors investigate the impact of these limitations, propose an alternative way of thinking that challenges traditional assumptions, and also provide novel solutions. Starting with the traditional Value at Risk (VaR) model and its limitations, the book discusses concepts like the expected shortfall, the spectral measure, the use of the spectrum, and the distortion risk measures from both a univariate and a multivariate perspective.