Measuring International Uncertainty Using Global Vector Autoregressions with Drifting Parameters

Measuring International Uncertainty Using Global Vector Autoregressions with Drifting Parameters PDF Author: Michael Pfarrhofer
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
This paper investigates the time-varying impacts of international macroeconomic uncertainty shocks. We use a global vector autoregressive (GVAR) specification with drifting coefficients and factor stochastic volatility in the errors to model six economies jointly. The measure of uncertainty is constructed endogenously by estimating a scalar driving the innovation variances of the latent factors, and is included also in the mean of the process. To achieve regularization, we use Bayesian techniques for estimation, and introduce a set of hierarchical global-local shrinkage priors. The adopted priors center the model on a constant parameter specification with homoscedastic errors, but allow for time-variation if suggested by likelihood information. Moreover, we assume coefficients across economies to be similar, but provide sufficient flexibility via the hierarchical prior for country-specific idiosyncrasies. The results point towards pronounced real and financial effects of uncertainty shocks in all countries, with differences across economies and over time.

Measuring International Uncertainty Using Global Vector Autoregressions with Drifting Parameters

Measuring International Uncertainty Using Global Vector Autoregressions with Drifting Parameters PDF Author: Michael Pfarrhofer
Publisher:
ISBN:
Category :
Languages : en
Pages :

Get Book Here

Book Description
This paper investigates the time-varying impacts of international macroeconomic uncertainty shocks. We use a global vector autoregressive (GVAR) specification with drifting coefficients and factor stochastic volatility in the errors to model six economies jointly. The measure of uncertainty is constructed endogenously by estimating a scalar driving the innovation variances of the latent factors, and is included also in the mean of the process. To achieve regularization, we use Bayesian techniques for estimation, and introduce a set of hierarchical global-local shrinkage priors. The adopted priors center the model on a constant parameter specification with homoscedastic errors, but allow for time-variation if suggested by likelihood information. Moreover, we assume coefficients across economies to be similar, but provide sufficient flexibility via the hierarchical prior for country-specific idiosyncrasies. The results point towards pronounced real and financial effects of uncertainty shocks in all countries, with differences across economies and over time.

Handbook of Financial Integration

Handbook of Financial Integration PDF Author: Guglielmo M. Caporale
Publisher: Edward Elgar Publishing
ISBN: 1803926376
Category : Business & Economics
Languages : en
Pages : 683

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Book Description
This comprehensive Handbook deftly examines key aspects of financial integration, providing an overview of contemporary research and new perspectives. Employing state of the art econometric methods to obtain new empirical evidence, it will be critical for designing optimal policies, and appropriate investment and risk management strategies.

Oil Price Uncertainty

Oil Price Uncertainty PDF Author: Apostolos Serletis
Publisher: World Scientific Publishing Company Incorporated
ISBN: 9789814390675
Category : Business & Economics
Languages : en
Pages : 142

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Book Description
The relationship between the price of oil and the level of economic activity is a fundamental issue in macroeconomics. There is an ongoing debate in the literature about whether positive oil price shocks cause recessions in the United States (and other oil-importing countries), and although there exists a vast empirical literature that investigates the effects of oil price shocks, there are relatively few studies that investigate the direct effects of uncertainty about oil prices on the real economy. The book uses recent advances in macroeconomics and financial economics to investigate the effects of oil price shocks and uncertainty about the price of oil on the level of economic activity.

The Next Great Globalization

The Next Great Globalization PDF Author: Frederic S. Mishkin
Publisher: Princeton University Press
ISBN: 1400829445
Category : Business & Economics
Languages : en
Pages : 321

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Book Description
Many prominent critics regard the international financial system as the dark side of globalization, threatening disadvantaged nations near and far. But in The Next Great Globalization, eminent economist Frederic Mishkin argues the opposite: that financial globalization today is essential for poor nations to become rich. Mishkin argues that an effectively managed financial globalization promises benefits on the scale of the hugely successful trade and information globalizations of the nineteenth and twentieth centuries. This financial revolution can lift developing nations out of squalor and increase the wealth and stability of emerging and industrialized nations alike. By presenting an unprecedented picture of the potential benefits of financial globalization, and by showing in clear and hard-headed terms how these gains can be realized, Mishkin provides a hopeful vision of the next phase of globalization. Mishkin draws on historical examples to caution that mismanagement of financial globalization, often aided and abetted by rich elites, can wreak havoc in developing countries, but he uses these examples to demonstrate how better policies can help poor nations to open up their economies to the benefits of global investment. According to Mishkin, the international community must provide incentives for developing countries to establish effective property rights, banking regulations, accounting practices, and corporate governance--the institutions necessary to attract and manage global investment. And the West must be a partner in integrating the financial systems of rich and poor countries--to the benefit of both. The Next Great Globalization makes the case that finance will be a driving force in the twenty-first-century economy, and demonstrates how this force can and should be shaped to the benefit of all, especially the disadvantaged nations most in need of growth and prosperity.

Macroeconomic Forecasting in the Era of Big Data

Macroeconomic Forecasting in the Era of Big Data PDF Author: Peter Fuleky
Publisher: Springer Nature
ISBN: 3030311503
Category : Business & Economics
Languages : en
Pages : 716

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Book Description
This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model uncertainty, instability, non-stationarity, and mixed frequency data; and how to evaluate forecasts, among others. Each chapter is self-contained with references, and provides solid background information, while also reviewing the latest advances in the field. Accordingly, the book offers a valuable resource for researchers, professional forecasters, and students of quantitative economics.

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

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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.

Global Bonding

Global Bonding PDF Author: Mr.Tamim Bayoumi
Publisher: International Monetary Fund
ISBN: 1475579578
Category : Business & Economics
Languages : en
Pages : 27

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Book Description
This paper uses a novel variant of identification through hetroscedacity to estimate spillovers across U.S., Euro area, Japanese, and UK government bond and equity markets in a vector autoregression. The results suggest that U.S. financial shocks reverberate around the world much more strongly than shocks from other regions, including the Euro area, while inward spillovers to the U.S. from elsewhere are minimal. There is also evidence of two-way spillovers between the UK and Euro area financial markets and spillovers from Europe to Japan. The results also suggest that the uncertainty about the direction of causality of contemporaneous correlations—an issue that other techniques cannot tackle—is the dominant source of uncertainty in the estimated impulse response functions.

The Oxford Handbook of Bayesian Econometrics

The Oxford Handbook of Bayesian Econometrics PDF Author: John Geweke
Publisher: Oxford University Press
ISBN: 0191618268
Category : Business & Economics
Languages : en
Pages : 576

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Book Description
Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology.

Global Economic Prospects, June 2021

Global Economic Prospects, June 2021 PDF Author: World Bank
Publisher: World Bank Publications
ISBN: 1464816662
Category : Business & Economics
Languages : en
Pages : 339

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Book Description
The world economy is experiencing a very strong but uneven recovery, with many emerging market and developing economies facing obstacles to vaccination. The global outlook remains uncertain, with major risks around the path of the pandemic and the possibility of financial stress amid large debt loads. Policy makers face a difficult balancing act as they seek to nurture the recovery while safeguarding price stability and fiscal sustainability. A comprehensive set of policies will be required to promote a strong recovery that mitigates inequality and enhances environmental sustainability, ultimately putting economies on a path of green, resilient, and inclusive development. Prominent among the necessary policies are efforts to lower trade costs so that trade can once again become a robust engine of growth. This year marks the 30th anniversary of the Global Economic Prospects. The Global Economic Prospects is a World Bank Group Flagship Report that examines global economic developments and prospects, with a special focus on emerging market and developing economies, on a semiannual basis (in January and June). Each edition includes analytical pieces on topical policy challenges faced by these economies.

The Oxford Handbook of Economic Forecasting

The Oxford Handbook of Economic Forecasting PDF Author: Michael P. Clements
Publisher: OUP USA
ISBN: 0195398645
Category : Business & Economics
Languages : en
Pages : 732

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Book Description
Greater data availability has been coupled with developments in statistical theory and economic theory to allow more elaborate and complicated models to be entertained. These include factor models, DSGE models, restricted vector autoregressions, and non-linear models.