Financial And Macroeconomic Connectedness

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.

The global financial crisis has reignited interest in models of crisis prediction. It has also raised the question whether financial connectedness - a possible source of systemic risk - can serve as an early warning indicator of crises. In this paper we examine the ability of connectedness in the global network of financial linkages to predict systemic banking crises. Our results indicate that increases in a country's financial interconnectedness and decreases in its neighbors' connectedness are associated with a higher probability of banking crises after controlling for macroeconomic fundamentals.

An argument that contagion is the most significant risk facing the financial system and that Dodd¬Frank has reduced the government's ability to respond effectively. The Dodd–Frank Act of 2010 was intended to reform financial policies in order to prevent another massive crisis such as the financial meltdown of 2008. Dodd–Frank is largely premised on the diagnosis that connectedness was the major problem in that crisis—that is, that financial institutions were overexposed to one another, resulting in a possible chain reaction of failures. In this book, Hal Scott argues that it is not connectedness but contagion that is the most significant element of systemic risk facing the financial system. Contagion is an indiscriminate run by short-term creditors of financial institutions that can render otherwise solvent institutions insolvent. It poses a serious risk because, as Scott explains, our financial system still depends on approximately $7.4 to $8.2 trillion of runnable and uninsured short-term liabilities, 60 percent of which are held by nonbanks. Scott argues that efforts by the Federal Reserve, the FDIC, and the Treasury to stop the contagion that exploded after the bankruptcy of Lehman Brothers lessened the economic damage. And yet Congress, spurred by the public's aversion to bailouts, has dramatically weakened the power of the government to respond to contagion, including limitations on the Fed's powers as a lender of last resort. Offering uniquely detailed forensic analyses of the Lehman Brothers and AIG failures, and suggesting alternative regulatory approaches, Scott makes the case that we need to restore and strengthen our weapons for fighting contagion.

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.

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.

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.

The deregulation of domestic financial markets and the capital account in developing countries has frequently been associated with financial turmoil and macro volatility. The book analyzes the experience of Argentina, Brazil, Chile, China, Nigeria, Russia, South Africa, and Thailand, and draws implications for building development-friendly domestic and international financial architectures. The recommendations are made in light of the key challenge: to design and implement policies able to control macro volatility while building the rules of the financial game that will ultimately contribute to mitigating the sources of aggregate risk.

Understanding how markets are connected and shocks are transmitted is an important issue for policymakers and market participants. In this paper, we examine the connectedness of Asian equity markets within the region and vis-à-vis other major global markets. Using time-varying connectedness measures, we address the following questions: (1) How has connectedness in asset returns and volatilities changed over time? Do markets become more connected during crises periods? (2) Which markets are major sources and major recipients of shocks? Has there been a shift in terms of the net shock givers and shock receivers (directional connectedness over time)? Finally, we investigate the connectedness between China’s equity markets and other countries’ equity markets since August 2015 to highlight the growing importance of emerging market economies, particularly China, as sources of shocks.

Interconnectedness among global systemically important banks (GSIBs) and global systemically important insurers (GSIIs) has important financial stability implications. This paper examines connectedness among United States, European and Asian GSIBs and GSIIs, using publicly-available daily equity returns and intra-day volatility data from October 2007 to August 2016. Results reveal strong regional clusters of return and volatility connectedness amongst GSIBs and GSIIs. Compared to Asia, selected GSIBs and GSIIs headquartered in the United States and Europe appear to be main sources of market-based connectedness. Total system connectedness—i.e., among all GSIBs and GSIIs—tends to rise during financial stress, which is corroborated by a balance sheet oriented systemic risk measure. Lastly, the paper demonstrates significant influence of economic policy uncertainty and U.S. long-term interest rates on total connectedness among systemically important institutions, and the important role of bank profitability and asset quality in driving bank-specific return connectedness.

"In the wake of the global financial crisis that began in 2008, offers a systematic overview of recent developments in regulatory frameworks in advanced and emerging-market countries, outlining challenges to improving regulation, markets, and access in developing economies"--Provided by publisher.