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The GVAR is a global Vector autoregression model of the global economy. The model was initially developed in the early 2000 by Professor Pesaran and co-authors, for the main purpose of analysing credit risk in a globalised economy. Starting from mid-2000 the model was substantially enlarged in the context of a project financed by the ECB, to comprise all major economies and the Euro area as a whole. The purpose of this version was to exploit the rich modelisation of international linkages in order to simulate and analyse global macro scenarios of high policy interest. The rich, yet manageable, specification of international linkages has stimulated a vast literature on the GVAR. Since early 2011, the basic model - and its data base - has also available on a dedicated GVAR-Toolbox website with an easy-to-use interface allowing practical applications by an extended audience, as well as more complex analysis by the expert public. The book provides an overview of the extensions and applications of the GVAR which have been developed in recent years. Such applications are grouped in three main categories: 1) International transmission and forecasting; 2) Finance applications; and 3) Regional applications. By using a language which is accessible to not econometricians, the book reaches out to the extended audience of practitioners and policy makers interested in understanding channels and impacts of international linkages.
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.
This paper explores the concept of global liquidity, its measurement and macro-financial importance. We construct two sets of indicators for global liquidity: a quantity series distinguishing between core and noncore liabilities of financial intermediatires and a corresponding price series. Using price and quantity indicators simultaneously, it is possible to distinguish between shocks to the supply and demand for global liquidity, and isolate their impact on the economy. Our results confirm that global liquidity conditions matter for economic and financial stability, and points to indicators whose regular monitoring could be valuable to policymakers.
Barely two decades after the Asian financial crisis Asia was suddenly confronted with multiple challenges originating outside the region: the 2008 global financial crisis, the European debt crisis, and finally developed economies' implementation of unconventional monetary policies. The implementation of quantitative easing, ultra-low interest rate policies, and negative interest rate policies by a number of large central banks has given rise to concerns over financial stability and international capital flows. Macroeconomic Shocks and Unconventional Monetary Policy: Impacts on Emerging Markets explains how shocks stemming from the global financial crisis have affected macroeconomic and financial stability in emerging Asia. Macroeconomic Shocks and Unconventional Monetary Policy: Impacts on Emerging Markets brings together the most up-to-date knowledge impacts of recent macroeconomic shocks on Asia's real economy; the spillover effects of macroeconomic shocks on financial markets and flows in Asia; and key challenges for monetary, exchange rate, trade and macro prudential policies of developing Asian economies. It is authored by experts in the field of international macroeconomics from leading academic institutions, central banks, and international organizations including the International Monetary Fund, the Bank for International Settlement, and the Asian Development Bank Institute.
From Fragmentation to Financial Integration in Europe is a comprehensive study of the European Union financial system. It provides an overview of the issues central to securing a safer financial system for the European Union and looks at the responses to the global financial crisis, both at the macro level—the pendulum of financial integration and fragmentation—and at the micro level—the institutional reforms that are taking place to address the crisis. The emerging financial sector management infrastructure, including the proposed Single Supervisory Mechanism and other elements of a banking union for the euro area, are also discussed in detail.
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.
The purpose of this paper is to develop a model framework for the analysis of interactions between banking sector risk, sovereign risk, corporate sector risk, real economic activity, and credit growth for 15 European countries and the United States. It is an integrated macroeconomic systemic risk model framework that draws on the advantages of forward-looking contingent claims analysis (CCA) risk indicators for the banking systems in each country, forward-looking CCA risk indicators for sovereigns, and a GVAR model to combine the banking, the sovereign, and the macro sphere. The CCA indicators capture the nonlinearity of changes in bank assets, equity capital, credit spreads, and default probabilities. They capture the expected losses, spreads and default probability for sovereigns. Key to the framework is that sovereign credit spreads, banking system credit risk, corporate sector credit risk, economic growth, and credit variables are combined in a fully endogenous setting. Upon estimation and calibration of the global model, we simulate various negative and positive shock scenarios, particularly to bank and sovereign risk. The goal is to use this framework to analyze the impact and spillover of shocks and to help identify policies that would mitigate banking system, sovereign credit risk and recession risk—policies including bank capital increases, purchase of sovereign debt, and guarantees.
The analysis of interconnectedness and contagion is an important part of the financial stability and risk assessment of a country’s financial system. This paper offers detailed and practical guidance on how to conduct a comprehensive analysis of interconnectedness and contagion for a country’s financial system under various circumstances. We survey current approaches at the IMF for analyzing interconnectedness within the interbank, cross-sector and cross-border dimensions through an overview and examples of the data and methodologies used in the Financial Sector Assessment Program. Finally, this paper offers practical advice on how to interpret results and discusses potential financial stability policy recommendations that can be drawn from this type of in-depth analysis.