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Author: Francis X. Diebold
Publisher: Oxford University Press, USA
ISBN: 0199338302
Category : Business & Economics
Languages : en
Pages : 285
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Book Description
In Financial and Macroeconomic Connectedness, Francis Diebold and Kamil Yilmaz propose several connectedness measures for financial and macroeconomic networks based on forecast error variance decompositions from approximating vector autoregressions. The authors characterize connectedness across major asset markets and financial institutions within the U.S. and across countries since the late 1990s.
Author: Francis X. Diebold
Publisher: Oxford University Press
ISBN: 0199338329
Category : Business & Economics
Languages : en
Pages : 285
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Book Description
Connections among different assets, asset classes, portfolios, and the stocks of individual institutions are critical in examining financial markets. Interest in financial markets implies interest in underlying macroeconomic fundamentals. In Financial and Macroeconomic Connectedness, Frank Diebold and Kamil Yilmaz propose a simple framework for defining, measuring, and monitoring connectedness, which is central to finance and macroeconomics. These measures of connectedness are theoretically rigorous yet empirically relevant. The approach to connectedness proposed by the authors is intimately related to the familiar econometric notion of variance decomposition. The full set of variance decompositions from vector auto-regressions produces the core of the 'connectedness table.' The connectedness table makes clear how one can begin with the most disaggregated pair-wise directional connectedness measures and aggregate them in various ways to obtain total connectedness measures. The authors also show that variance decompositions define weighted, directed networks, so that these proposed connectedness measures are intimately related to key measures of connectedness used in the network literature. After describing their methods in the first part of the book, the authors proceed to characterize daily return and volatility connectedness across major asset (stock, bond, foreign exchange and commodity) markets as well as the financial institutions within the U.S. and across countries since late 1990s. These specific measures of volatility connectedness show that stock markets played a critical role in spreading the volatility shocks from the U.S. to other countries. Furthermore, while the return connectedness across stock markets increased gradually over time the volatility connectedness measures were subject to significant jumps during major crisis events. This book examines not only financial connectedness, but also real fundamental connectedness. In particular, the authors show that global business cycle connectedness is economically significant and time-varying, that the U.S. has disproportionately high connectedness to others, and that pairwise country connectedness is inversely related to bilateral trade surpluses.
Author: Thomas F. P. Wiesen
Publisher:
ISBN:
Category :
Languages : en
Pages : 220
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Book Description
In an increasingly globalized and interconnected marketplace, identifying how integrated economic systems are has important implications for asset portfolio allocation, monitoring financial contagions, understanding systemic risks, measuring economic spillovers, and so on. This dissertation is devoted to the econometric techniques and applications of financial and macroeconomic connectedness. The first chapter investigates the volatility spillovers between Asian equity markets. We develop a novel two-step estimation procedure that allows us to measure the interaction between volatility and connectedness. This analysis shows how increased volatility may be a driving force behind increased connectedness. In particular, high volatility in a specific market may drive overall connectedness upwards even if the direct spillovers from that market are small. The second chapter proposes a new measure of connectedness that refines the popular generalized spillover metrics of Diebold and Yilmaz (2012, 2014). While the existing generalized method relies on single-variable conditioning sets to decompose forecast error variances from a vector autoregression model, our method uses joint, multivariable conditioning sets. We argue that our joint spillover metrics yield a more natural measure of total spillovers from all other variables to the individual variables. We apply our new joint connectedness metrics to measure the integration of US equity market sectors. The third chapter compares several different statistical measures of connectedness in a falsifiable manner. According to economic theory, if global capital markets are perfectly integrated, then the risk-adjusted interest rates of the various countries should all converge to a single world interest rate. Thus, we can use the cross-sectional standard deviation of the countries' interest rates to obtain a measure of capital market integration that is justified by economic theory. We compare this cross-sectional standard deviation to the statistical measures of capital market integration. This allows us to determine which of the various statistical measures of capital market integration best match the measure from theory.
Author: Matteo Barigozzi
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Laurent Ferrara
Publisher: Springer
ISBN: 3319790757
Category : Business & Economics
Languages : en
Pages : 300
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Book Description
This book collects selected articles addressing several currently debated issues in the field of international macroeconomics. They focus on the role of the central banks in the debate on how to come to terms with the long-term decline in productivity growth, insufficient aggregate demand, high economic uncertainty and growing inequalities following the global financial crisis. Central banks are of considerable importance in this debate since understanding the sluggishness of the recovery process as well as its implications for the natural interest rate are key to assessing output gaps and the monetary policy stance. The authors argue that a more dynamic domestic and external aggregate demand helps to raise the inflation rate, easing the constraint deriving from the zero lower bound and allowing monetary policy to depart from its current ultra-accommodative position. Beyond macroeconomic factors, the book also discusses a supportive financial environment as a precondition for the rebound of global economic activity, stressing that understanding capital flows is a prerequisite for economic-policy decisions.
Author: Francis X. Diebold
Publisher: Oxford University Press
ISBN: 0199338310
Category : Business & Economics
Languages : en
Pages : 285
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Book Description
Connections among different assets, asset classes, portfolios, and the stocks of individual institutions are critical in examining financial markets. Interest in financial markets implies interest in underlying macroeconomic fundamentals. In Financial and Macroeconomic Connectedness, Frank Diebold and Kamil Yilmaz propose a simple framework for defining, measuring, and monitoring connectedness, which is central to finance and macroeconomics. These measures of connectedness are theoretically rigorous yet empirically relevant. The approach to connectedness proposed by the authors is intimately related to the familiar econometric notion of variance decomposition. The full set of variance decompositions from vector auto-regressions produces the core of the 'connectedness table.' The connectedness table makes clear how one can begin with the most disaggregated pair-wise directional connectedness measures and aggregate them in various ways to obtain total connectedness measures. The authors also show that variance decompositions define weighted, directed networks, so that these proposed connectedness measures are intimately related to key measures of connectedness used in the network literature. After describing their methods in the first part of the book, the authors proceed to characterize daily return and volatility connectedness across major asset (stock, bond, foreign exchange and commodity) markets as well as the financial institutions within the U.S. and across countries since late 1990s. These specific measures of volatility connectedness show that stock markets played a critical role in spreading the volatility shocks from the U.S. to other countries. Furthermore, while the return connectedness across stock markets increased gradually over time the volatility connectedness measures were subject to significant jumps during major crisis events. This book examines not only financial connectedness, but also real fundamental connectedness. In particular, the authors show that global business cycle connectedness is economically significant and time-varying, that the U.S. has disproportionately high connectedness to others, and that pairwise country connectedness is inversely related to bilateral trade surpluses.
Author: Gilles Dufrénot
Publisher: Springer Nature
ISBN: 3030542521
Category : Business & Economics
Languages : en
Pages : 387
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Book Description
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.
Author: Mr.Marco Terrones
Publisher: International Monetary Fund
ISBN: 1455216720
Category : Business & Economics
Languages : en
Pages : 54
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Book Description
We propose and implement a framework for characterizing and monitoring the global business cycle. Our framework utilizes high-frequency data, allows us to account for a potentially large amount of missing observations, and is designed to facilitate the updating of global activity estimates as data are released and revisions become available. We apply the framework to the G-7 countries and study various aspects of national and global business cycles, obtaining three main results. First, our measure of the global business cycle, the common G-7 real activity factor, explains a significant amount of cross-country variation and tracks the major global cyclical events of the past forty years. Second, the common G-7 factor and the idiosyncratic country factors play different roles at different times in shaping national economic activity. Finally, the degree of G-7 business cycle synchronization among country factors has changed over time.
Author:
Publisher:
ISBN:
Category : Computer network resources
Languages : en
Pages : 300
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Book Description
Author: World Bank
Publisher: World Bank Publications
ISBN: 0821397281
Category : Business & Economics
Languages : en
Pages : 697
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Book Description
"This work is a product of the staff of The World Bank with external contributions"--T.p. verso.
Author: International Monetary Fund. Monetary and Capital Markets Department
Publisher: International Monetary Fund
ISBN: 1498339174
Category : Business & Economics
Languages : en
Pages : 33
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Book Description
MCM conducted a survey in December 2010 to take stock of international experiences with financial stability and the evolving macroprudential policy framework. The survey was designed to seek information in three broad areas: the institutional setup for macroprudential policy, the analytical approach to systemic risk monitoring, and the macroprudential policy toolkit. The survey was sent to 63 countries and the European Central Bank (ECB), including all countries in the G-20 and those subject to mandatory Financial Sector Assessment Programs (FSAPs). The target list is designed to cover a broad range of jurisdictions in all regions, but more weight is given to economies that are systemically important (see Annex for details). The response rate is 80 percent. This note provides a summary of the survey’s main findings.
