We look at the effect of capital rules on a banking system that is connected through correlated credit exposures and interbank lending. The rules, which combine individual bank characteristics and interconnectivity measures of interbank lending, are to minimize a measure of system-wide losses. Using the detailed German Credit Register for estimation, we find capital rules based on eigenvectors to dominate any other centrality measure, followed by closeness. Compared to the baseline case, capital reallocation based on the Adjacency Eigenvector saves about 15% in system losses as measured by expected bankruptcy costs.

We look at the effect of capital rules on a banking system that is connected through correlated credit exposures and interbank lending. The rules, which combine individual bank characteristics and interconnectivity measures of interbank lending, are to minimize a measure of system-wide losses. Using the detailed German Credit Register for estimation, we find capital rules based on eigenvectors to dominate any other centrality measure, followed by closeness. Compared to the baseline case, capital reallocation based on the Adjacency Eigenvector saves about 15% in system losses as measured by expected bankruptcy costs.

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 second volume explores three particular domains of shadow banking. The first domain deals with the macro-economic fundamentals of the respective shadow banking segments: Why do they exist, what problems do they solve and why are some of their embedded risks so persistent? The second domain captures the global dimensions of shadow banking markets, reviewing the particularities and specifics of various shadow banking systems around the world. Volume II concludes with an extensive overview of how the sector has changed since the financial crisis, focusing on regulatory arbitrage, contract imperfection and governance. Closing on unresolved issues and open-ended questions that will no doubt remain prominent in the shadow banking sector for years to come, this handbook is a must-read for professionals and policy-makers within the banking sector, as well as those researching economics and finance.

This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory, together with a wealth of applications. It presents the peer-reviewed proceedings of the VII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2018), which was held in Cambridge on December 11–13, 2018. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure and network dynamics; diffusion, epidemics and spreading processes; and resilience and control; as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.

We study the transmission of financial sector shocks across borders through international bank connections. For this purpose, we use data on long-term interbank loans among more than 6,000 banks during 1997-2012 to construct a yearly global network of interbank exposures. We estimate the effect of direct (first-degree) and indirect (second-degree) exposures to countries experiencing systemic banking crises on bank profitability and loan supply. We find that direct exposures to crisis countries squeeze banks' profit margins, thereby reducing their returns. Indirect exposures to crisis countries enhance this effect, while indirect exposures to non-crisis countries mitigate it. Furthermore, crisis exposures have real effects in that they reduce banks' supply of domestic and cross-border loans. Our results, based on a large global sample, support the notion that interconnected financial systems facilitate shock transmission.

This book analyses decision-making in dynamic economic environments. By applying a wide range of methodological approaches, combining both analytical and computational methods, the contributors examine various aspects of optimal firm behaviour and relevant policy areas. Topics covered include optimal control, dynamic games, economic decision-making, and applications in finance and economics, as well as policy implications in areas such as pollution regulation. This book is dedicated to Christophe Deissenberg, a well-known and distinguished scholar of economic dynamics and computational economics. It appeals to academics in the areas of optimal control, dynamic games and computational economics as well as to decision-makers working in policy domains such as environmental policy.

We developed a novel Systemwide Liquidity (SWL) framework to identify liquidity stress in the system that goes beyond banks and to assess the role played by non-bank financial institutions (NBFIs) in episodes of liquidity stress. The framework, which complements standard liquidity and interconnectedness analyses, traces the flow of liquidity among various agents in the economy and explores possible transmission channels and amplification mechanisms of correlated liquidity shocks. The framework uses unique balance sheet and asset encumbrance data to demonstrate the importance of assessing liquidity at the system level by allowing for (i) analyses of each agent’s contribution to liquidity stress, (ii) analyses of the impact of different behavioral assumptions (e.g., pecking order of collateral utilization, negative externalities of fire-sales and margin positions), and (iii) policy simulations. Since this framework covers a comprehensive set of financial instruments and transactions, it paves the way for harmonization of systemwide liquidity analysis across countries. We applied this general framework to Mexico in the context of the FSAP. Results for Mexico show that commercial banks safeguard the resiliency of the financial system by backstopping the liquidity needs of other agents. Moreover, certain sectors appear more vulnerable when binding regulatory liquidity constraints trigger risk-averse behavioral responses.

Articles in the March 2015 Research Bulletin focus on the oil market, energy subsidies, and output. The Research Summary on "An Exploration in Deep Corners of the Oil Market," authored by Rabah Arezki, Douglas Laxton, Armen Nurekyan, and Hou Wang, examines fluctuations in oil prices. "The State Budget May Afford It All," by Christian Ebeke and Constant Lonkeng Ngbouana, reviews energy subsidies and their fiscal, distributional, and environmental costs. In the “Q&A” column Pau Rabanal takes a look at “Seven Questions on Potential Output.” The Bulletin includes a listing of recent IMF Working Papers, Staff Discussion Notes, recommended readings from IMF Publications, and a call for papers for the next Annual Research Conference. A link with information and free access to IMF Economic Review is also included.

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.

Simulation has become a tool difficult to substitute in many scientific areas like manufacturing, medicine, telecommunications, games, etc. Finance is one of such areas where simulation is a commonly used tool; for example, we can find Monte Carlo simulation in many financial applications like market risk analysis, portfolio optimization, credit risk related applications, etc. Simulation in Computational Finance and Economics: Tools and Emerging Applications presents a thorough collection of works, covering several rich and highly productive areas of research including Risk Management, Agent-Based Simulation, and Payment Methods and Systems, topics that have found new motivations after the strong recession experienced in the last few years. Despite the fact that simulation is widely accepted as a prominent tool, dealing with a simulation-based project requires specific management abilities of the researchers. Economic researchers will find an excellent reference to introduce them to the computational simulation models. The works presented in this book can be used as an inspiration for economic researchers interested in creating their own computational models in their respective fields.