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This book studies the measurement and the determinants of systemic risk, paying special attention to the role of the Credit Default Swaps (CDSs) either as financial instruments containing valuable information about the soundness of the reference institutions or as a market whose distress contributes to potential systemic shocks on the economy. The measurement of systemic risk is addressed from two perspectives, aggregate and individual contribution to systemic risk where the former refers to the level of systemic risk in the overall economy and the latter to the individual contribution of each financial institution to the overall systemic risk. The analysis of the determinants of the individual contribution of financial institutions to systemic risk focuses on the effect of their portfolio holdings of derivatives. Finally, this thesis studies the liquidity commonalities and their determinants in the corporate CDS worldwide markets. The main participants in these markets are systemically important financial institutions (SIFIs) and so abrupt changes in the market liquidity could cause systemic shocks on the overall economy and, as a consequence, could have adverse effects on global stability.
The recent financial crisis and the difficulty of using mainstream macroeconomic models to accurately monitor and assess systemic risk have stimulated new analyses of how we measure economic activity and the development of more sophisticated models in which the financial sector plays a greater role. Markus Brunnermeier and Arvind Krishnamurthy have assembled contributions from leading academic researchers, central bankers, and other financial-market experts to explore the possibilities for advancing macroeconomic modeling in order to achieve more accurate economic measurement. Essays in this volume focus on the development of models capable of highlighting the vulnerabilities that leave the economy susceptible to adverse feedback loops and liquidity spirals. While these types of vulnerabilities have often been identified, they have not been consistently measured. In a financial world of increasing complexity and uncertainty, this volume is an invaluable resource for policymakers working to improve current measurement systems and for academics concerned with conceptualizing effective measurement.
We study the effects of two measures of information dissemination on the determination of systemic risk. One measure is print-media consumer sentiment based while the other is volatility based. We find evidence that while the volatility measure (VIX) of future expectations has a more significant direct impact upon systemic risk of financial firms under distress, a consumer sentiment measure based on print-media news does impact upon firm's financial stress via the externality of other firm's financial stress. This latter effect is robust even though the VIX and the consumer sentiment have dynamic feedback in the short one and two-day horizon in levels, and contemporaneously in volatility. In reference to the internet bubble of the 1990s, the consumer sentiment measure predicts larger systemic risk in the whole period of exuberance while the VIX predicts a sharp larger systemic risk in the height of the bubble. Our evidence suggests that print-media consumer sentiment might be dominated by the VIX when predicting systemic risk.
The recent global financial crisis has forced a re-examination of risk transmission in the financial sector and how it affects financial stability. Current macroprudential policy and surveillance (MPS) efforts are aimed establishing a regulatory framework that helps mitigate the risk from systemic linkages with a view towards enhancing the resilience of the financial sector. This paper presents a forward-looking framework ("Systemic CCA") to measure systemic solvency risk based on market-implied expected losses of financial institutions with practical applications for the financial sector risk management and the system-wide capital assessment in top-down stress testing. The suggested approach uses advanced contingent claims analysis (CCA) to generate aggregate estimates of the joint default risk of multiple institutions as a conditional tail expectation using multivariate extreme value theory (EVT). In addition, the framework also helps quantify the individual contributions to systemic risk and contingent liabilities of the financial sector during times of stress.
We propose a criteria-based framework to assess the viability of systemic risk measures (SRMs) as a monitoring tool for banking supervision and investigate the determinants of the banking system's overall level of systemic risk. Comparing three prominent SRMs we find that all of them possess substantial forecasting power for banking system distress, however, the measures vary significantly in their predictive accuracy for the state of the real economy. Furthermore, we find that the system-wide market-to-book (MTB) and loan-to-deposit (LTD) ratios act as fundamental drivers of systemic risk. The results have paramount implications. First, the MTB ratio itself may be used as a simple and efficient proxy for the overall systemic tension in the banking system. Second, the systemic relevance of the LTD ratio underlines the critical role of funding liquidity and supports recently proposed regulatory initiatives that curb aggregate liquidity risks. Third, the inclusion of balance sheet data is beneficial for systemic risk measurement.
Systemic Risk: History, Measurement and Regulation presents an overview of this emerging form of risk from a global perspective. Systemic risks endanger entire financial systems, not just individual financial institutions. In this volume, the authors review how systemic risk has evolved over the last 40 years across continents to come to the forefront of regulatory attention. They then discuss transmissions channels, provide a review of systemic risk measures, and describe new regulations that have been introduced, as well as the theory and practice of financial stability committees that have been set up internationally. Overall, the book provides a practical guide to understand, identify, assess and control systemic risk.While the financial research on systemic risk has strongly increased since the events of 2008, this book is a first in providing a detailed yet concise overview of the topic, covering the history of systemic risk, its measurement, and its regulation. The authors provide both academic and practitioner-oriented insights, and draw on their different regions of expertise to provide a global perspective on systemic risk.
In the aftermath of the recent financial crisis, the federal government has pursued significant regulatory reforms, including proposals to measure and monitor systemic risk. However, there is much debate about how this might be accomplished quantitatively and objectively—or whether this is even possible. A key issue is determining the appropriate trade-offs between risk and reward from a policy and social welfare perspective given the potential negative impact of crises. One of the first books to address the challenges of measuring statistical risk from a system-wide persepective, Quantifying Systemic Risk looks at the means of measuring systemic risk and explores alternative approaches. Among the topics discussed are the challenges of tying regulations to specific quantitative measures, the effects of learning and adaptation on the evolution of the market, and the distinction between the shocks that start a crisis and the mechanisms that enable it to grow.
We analyze how bank profitability impacts financial stability from both theoretical and empirical perspectives. We first develop a theoretical model of the relationship between bank profitability and financial stability by exploring the role of non-interest income and retail-oriented business models. We then conduct panel regression analysis to examine the empirical determinants of bank risks and profitability, and how the level and the source of bank profitability affect risks for 431 publicly traded banks (U.S., advanced Europe, and GSIBs) from 2004 to 2017. Results reveal that profitability is negatively associated with both a bank’s contribution to systemic risk and its idiosyncratic risk, and an over-reliance on non-interest income, wholesale funding and leverage is associated with higher risks. Low competition is associated with low idiosyncratic risk but a high contribution to systemic risk. Lastly, the problem loans ratio and the cost-to-income ratio are found to be key factors that influence bank profitability. The paper’s findings suggest that policy makers should strive to better understand the source of bank profitability, especially where there is an over-reliance on market-based non-interest income, leverage, and wholesale funding.