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No sooner had the Asian crisis broken out in 1997 than the witch-hunt started. With great indignation every Asian economy pointed fingers. They were innocent bystanders. The fundamental reason for the crisis was this or that - most prominently contagion - but also the decline in exports of the new commodities (high-tech goods), the steep rise of the dollar, speculators, etc. The prominent question, of course, is whether contagion could really have been the key factor and, if so, what are the channels and mechanisms through which it operated in such a powerful manner. The question is obvious because until 1997, Asia's economies were generally believed to be immensely successful, stable and well managed. This question is of great importance not only in understanding just what happened, but also in shaping policies. In a world of pure contagion, i.e. when innocent bystanders are caught up and trampled by events not of their making and when consequences go far beyond ordinary international shocks, countries will need to look for better protective policies in the future. In such a world, the international financial system will need to change in order to offer better preventive and reactive policy measures to help avoid, or at least contain, financial crises.
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.
Models of “contagion” rely on market imperfections to explain why adverse shocks in one asset market might be associated with asset sales in many unrelated markets. This paper demonstrates that contagion can be explained with basic portfolio theory without recourse to market imperfections. It also demonstrates that “Value-at-Risk” portfolio management rules do not have significantly different consequences for portfolio rebalancing and contagion than other rules. The paper’s main conclusion is that portfolio diversification and leverage may be sufficient to explain why investors would find it optimal to sell many higher-risk assets when a shock to one asset occurs.
The Oxford Handbook of the Economics of Networks represents the frontier of research into how and why networks they form, how they influence behavior, how they help govern outcomes in an interactive world, and how they shape collective decision making, opinion formation, and diffusion dynamics. From a methodological perspective, the contributors to this volume devote attention to theory, field experiments, laboratory experiments, and econometrics. Theoretical work in network formation, games played on networks, repeated games, and the interaction between linking and behavior is synthesized. A number of chapters are devoted to studying social process mediated by networks. Topics here include opinion formation, diffusion of information and disease, and learning. There are also chapters devoted to financial contagion and systemic risk, motivated in part by the recent financial crises. Another section discusses communities, with applications including social trust, favor exchange, and social collateral; the importance of communities for migration patterns; and the role that networks and communities play in the labor market. A prominent role of networks, from an economic perspective, is that they mediate trade. Several chapters cover bilateral trade in networks, strategic intermediation, and the role of networks in international trade. Contributions discuss as well the role of networks for organizations. On the one hand, one chapter discusses the role of networks for the performance of organizations, while two other chapters discuss managing networks of consumers and pricing in the presence of network-based spillovers. Finally, the authors discuss the internet as a network with attention to the issue of net neutrality.
The models of portfolio selection and asset price dynamics in this volume seek to explain the market dynamics of asset prices. Presenting a range of analytical, empirical, and numerical techniques as well as several different modeling approaches, the authors depict the state of debate on the market selection hypothesis. By explicitly assuming the heterogeneity of investors, they present models that are descriptive and normative as well, making the volume useful for both finance theorists and financial practitioners. - Explains the market dynamics of asset prices, offering insights about asset management approaches - Assumes a heterogeneity of investors that yields descriptive and normative models of portfolio selections and asset pricing dynamics
The objective of this handbook is to provide the readers with insights about current dynamics and future potential transformations of global financial markets. We intend to focus on four main areas: Dynamics of Financial Markets; Financial Uncertainty and Volatility; Market Linkages and Spillover Effects; and Extreme Events and Financial Transformations and address the following critical issues, but not limited to: market integration and its implications; crisis risk assessment and contagion effects; financial uncertainty and volatility; role of emerging financial markets in the global economy; role of complex dynamics of economic and financial systems; market linkages, asset valuation and risk management; exchange rate volatility and firm-level exposure; financial effects of economic, political and social risks; link between financial development and economic growth; country risks; and sovereign debt markets.
Handbook of Computational Economics: Heterogeneous Agent Modeling, Volume Four, focuses on heterogeneous agent models, emphasizing recent advances in macroeconomics (including DSGE), finance, empirical validation and experiments, networks and related applications. Capturing the advances made since the publication of Volume Two (Tesfatsion & Judd, 2006), it provides high-level literature with sections devoted to Macroeconomics, Finance, Empirical Validation and Experiments, Networks, and other applications, including Innovation Diffusion in Heterogeneous Populations, Market Design and Electricity Markets, and a final section on Perspectives on Heterogeneity. - Helps readers fully understand the dynamic properties of realistically rendered economic systems - Emphasizes detailed specifications of structural conditions, institutional arrangements and behavioral dispositions - Provides broad assessments that can lead researchers to recognize new synergies and opportunities
This paper presents a novel approach to investigate and model the network of euro area banks’ large exposures within the global banking system. Drawing on a unique dataset, the paper documents the degree of interconnectedness and systemic risk of the euro area banking system based on bilateral linkages. We develop a Contagion Mapping model fully calibrated with bank-level data to study the contagion potential of an exogenous shock via credit and funding risks. We find that tipping points shifting the euro area banking system from a less vulnerable state to a highly vulnerable state are a non-linear function of the combination of network structures and bank-specific characteristics.
The lasting turmoil associated with the unprecedented pandemic, triggered by the novel corona virus COVID-19, has dragged the world into a mud of uncertainty. Fiscal stimulation, interest rate cuts, global supply-chain redeployment, "pandemic bond" and circuit breakers kicked in and the world is responding to this great challenge. But how can finance and economic research help the world under such circumstances? This book dwells on this new area of research and tries to understand how pandemics impact the economic and financial ecosystem of both emerging and advanced economies. Lessons learnt from the experience of previous pandemics maybe presented and discussed through drawing on policy lessons to date. By gathering research on political economy, geopolitical issues, behavioral finance, international institutional responses and medical and health issues resulting from pandemics, the chapters in this edited volume help in expanding the knowledge of social and economic consequences of the pandemic as well as set the foundation for future research. This book would benefit scholars, policy makers and entrepreneurs worldwide as a valuable archive of research on pandemics. The chapters in this book were originally published as a special issue of Emerging Markets Finance and Trade.
The International Conference on Computational Science (ICCS 2004) held in Krak ́ ow, Poland, June 6–9, 2004, was a follow-up to the highly successful ICCS 2003 held at two locations, in Melbourne, Australia and St. Petersburg, Russia; ICCS 2002 in Amsterdam, The Netherlands; and ICCS 2001 in San Francisco, USA. As computational science is still evolving in its quest for subjects of inves- gation and e?cient methods, ICCS 2004 was devised as a forum for scientists from mathematics and computer science, as the basic computing disciplines and application areas, interested in advanced computational methods for physics, chemistry, life sciences, engineering, arts and humanities, as well as computer system vendors and software developers. The main objective of this conference was to discuss problems and solutions in all areas, to identify new issues, to shape future directions of research, and to help users apply various advanced computational techniques. The event harvested recent developments in com- tationalgridsandnextgenerationcomputingsystems,tools,advancednumerical methods, data-driven systems, and novel application ?elds, such as complex - stems, ?nance, econo-physics and population evolution.