Systemic Risk Modeling How Theory Can Meet Statistics

We propose a framework to link empirical models of systemic risk to theoretical network/ general equilibrium models used to understand the channels of transmission of systemic risk. The theoretical model allows for systemic risk due to interbank counterparty risk, common asset exposures/fire sales, and a “Minsky" cycle of optimism. The empirical model uses stock market and CDS spreads data to estimate a multivariate density of equity returns and to compute the expected equity return for each bank, conditional on a bad macro-outcome. Theses “cross-sectional" moments are used to re-calibrate the theoretical model and estimate the importance of the Minsky cycle of optimism in driving systemic risk.

This global handbook provides an up-to-date and comprehensive overview of shadow banking, or market-based finance as it has been recently coined. Engaging in financial intermediary services outside of normal regulatory parameters, the shadow banking sector was arguably a critical factor in causing the 2007-2009 financial crisis. This volume focuses specifically on shadow banking activities, risk, policy and regulatory issues. It evaluates the nexus between policy design and regulatory output around the world, paying attention to the concept of risk in all its dimensions—the legal, financial, market, economic and monetary perspectives. Particular attention is given to spillover risk, contagion risk and systemic risk and their positioning and relevance in shadow banking activities. Newly introduced and incoming policies are evaluated in detail, as well as how risk is managed, observed and assessed, and how new regulation can potentially create new sources of risk. Volume I concludes with analysis of what will and still needs to happen in the event of another crisis. Proposing innovative suggestions for improvement, including a novel Pigovian tax to tame financial and systemic risks, this handbook is a must-read for professionals and policy-makers within the banking sector, as well as those researching economics and finance.

Discover current uses and future development of stress tests, the most innovative regulatory tool to prevent and fight financial crises.

In recent decades, the mainstream microeconomic and macroeconomic analysis was proven to be insufficient for exploring the dynamic and complex interactions among humans, institutions, and nature in our real economy. On the one side, microeconomics is filled with black-box models that fail to study the actual contractual relations between firms and markets, while on the other side macroeconomics were proven useless because they mistook the beauty of theoretical models for truth. Thus, questions have arisen about using new theoretical and empirical structures that would better describe our economic systems. Bridging Microeconomics and Macroeconomics and the Effects on Economic Development and Growth is an essential reference source that analyzes the hypotheses that govern the relationships of aggregate structures (macroeconomic analysis) that may be compatible with the assumptions that govern the behavior of individuals, households, and firms (micro analysis), and vice versa, in trying to achieve sustainable economic development and growth. Moreover, modern evolutionary growth thinking is used in trying to bridge the inconsistencies between microeconomics and macroeconomics and confront their failures in order to better describe the economic reality. While highlighting a broad range of topics including globalization, economic systems, and the role of institutions, this book is aimed toward economic analysts, financial advisors, policymakers, researchers, academicians, and students.

The COVID-19 pandemic has shocked economies around the world and created an era of global instability. As the pandemic comes to a close, it is essential to examine global economies in order to achieve and maintain global stability. By maintaining global stability, the world may be prepared for future economic shocks. The Research Anthology on Macroeconomics and the Achievement of Global Stability discusses the emerging opportunities, challenges, and strategies within the field of macroeconomics. It features advancements in the field that encourage global economic stability. Covering topics such as Islamic banking, international trade, and Econophysics, this major reference work is an ideal resource for economists, government leaders and officials, business leaders and executives, finance professionals, students and educators of higher education, librarians, researchers, and academicians.

This book focuses on identifying and explaining the key determinants of scenario analysis in the context of operational risk, stress testing and systemic risk, as well as management and planning. Each chapter presents alternative solutions to perform reliable scenario analysis. The author also provides technical notes and describes applications and key characteristics for each of the solutions. In addition, the book includes a section to help practitioners interpret the results and adjust them to real-life management activities. Methodologies, including those derived from consensus strategies, extreme value theory, Bayesian networks, Neural networks, Fault Trees, frequentist statistics and data mining are introduced in such a way as to make them understandable to readers without a quantitative background. Particular emphasis is given to the added value of the implementation of these methodologies.

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.

Master the basics and intricacies of quant and high-frequency trading with the latest edition of this accessible and widely-read guide In the newly revised third edition of Inside the Black Box: A Simple Guide to Systematic Investing, veteran practitioner and investor Rishi K Narang delivers another insightful discussion of how quantitative and algorithmic trading strategies work in non-mathematical terms. As with prior editions, this third edition is full of timeless concepts and timely updates. Supplemented by compelling anecdotes and real-world stories, the book explains the most relevant developments in the discipline since the publication of the second edition in 2013. You'll find out about the explosion in machine learning for alphas, signal mixing, data extraction, and execution, as well as the proliferation of alt data and a discussion of how to use it appropriately. You'll also discover: Updated discussions of approaches to research Newer and more effective approaches to portfolio optimization The frontiers of quantitative investing An essential and accessible treatment of a complicated and of-the-moment topic, Inside the Black Box remains the gold standard for non-mathematicians seeking to understand the ins and outs of one of the most fascinating and lucrative trading strategies, as well as quants from disciplines outside of finance looking for a conceptual framework on which to build profitable systematic trading strategies.