A distinguishing feature of emerging market crises in recent years has been the sudden disruption in the capital accounts of the economy. These crises have highlighted the need for closer attention to macroeconomic vulnerabilities in sectoral balance sheets. This book enhances application of the balance sheet approach to surveillance by taking advantage of new data sets that provide detailed, frequent, and timely financial statistics.
Recent improvements in statistical methodologies and data availability are facilitating detailed, high-frequency, timely macroeconomic balance sheet analysis. This paper provides practical instruction on how to design the framework to analyze vulnerabilities in a country as well as an overview of data sources that can be employed for this analysis. The paper also discusses how these new datasets are enhancing surveillance activities related to balance sheet vulnerabilities.
This note serves as a reference for balance sheet analysis, which should be read in conjunction with the IMF board paper on Balance Sheet Analysis in Fund Surveillance. It provides a: compendium of good examples of balance sheet analysis from both bilateral and multilateral surveillance, covering a variety of topics; full listing of available balance sheet related macro datasets, including their relevance for surveillance, remaining limitations, and remedial measures being undertaken; summary of data availability for each Fund member; compilation of all the tools for balance sheet analysis developed by the Fund over the last decade; and toolkit featuring some new empirical applications that could help deepen balance sheet analysis in surveillance. These include illustrations of how to construct and use BSA matrices, general equilibrium and reduced form approaches, as well as tools to analyze sectoral vulnerabilities using micro data.
Balance sheets convey vital information about economic prospects and risks. Balance sheet analysis captures the role that financial frictions and mismatches play in creating fragility and amplifying shocks. This is key to understanding the macroeconomic outlook, identifying vulnerabilities, and tracing the transmission of potential shocks and policies. This paper reviews the use of balance sheet analysis in the Fund’s bilateral surveillance and introduces some practical examples of how it can be deepened. Recent evaluations of IMF surveillance––including the 2014 TSR––have emphasized the importance of strengthening balance sheet analysis and coverage of macro-financial issues. This paper is a first step that highlights useful examples of such analysis conducted by staff over the last decade, documents the data and tools that have been used, and mentions some limitations. In addition, it discusses recent improvements in the coverage and quality of balance sheet data through initiatives launched in the wake of the global crisis, as well as key remaining gaps, addressing which requires international collaboration.
Effective cross-border financial surveillance requires the monitoring of direct and indirect systemic linkages. This paper illustrates how network analysis could make a significant contribution in this regard by simulating different credit and funding shocks to the banking systems of a number of selected countries. After that, we show that the inclusion of risk transfers could modify the risk profile of entire financial systems, and thus an enriched simulation algorithm able to account for risk transfers is proposed. Finally, we discuss how some of the limitations of our simulations are a reflection of existing information and data gaps, and thus view these shortcomings as a call to improve the collection and analysis of data on cross-border financial exposures.
The 2008/9 financial crisis highlighted the importance of evaluating vulnerabilities owing to interconnectedness, or Too-Connected-to-Fail risk, among financial institutions for country monitoring, financial surveillance, investment analysis and risk management purposes. This paper illustrates the use of balance sheet-based network analysis to evaluate interconnectedness risk, under extreme adverse scenarios, in banking systems in mature and emerging market countries, and between individual banks in Chile, an advanced emerging market economy.
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.
The global crisis of 2008 highlighted the need to understand financial interconnectedness among the various sectors of an economy and between them and their counterparties in the rest of the world. However, application of this kind of analysis has been hampered by the lack of adequate data. This paper sets the background for promoting internationally coordinated efforts for compiling and disseminating data on sectoral financial positions and flows on a from-whom-to-whom basis within the framework of the System of National Accounts. It draws on actual experiences in compiling these kinds of data and provides guidelines for their development in the future.
