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Systemic Risk Assessment and Oversight
Focusing on financial institutions in isolation during the 2007-2009 financial crisis resulted in a serious underestimation of the wider systemic risk in play. Systemic Risk Assessment and Oversight addresses this analytical gap by outlining a bottom-up portfolio approach to systemic risk, allowing you to fully understand, analyse and prepare for this pervading risk.
Surrogate Data Models: Interpreting Large-scale Machine Learning Crisis Prediction Models
Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs model interpretability and their ability to provide adequate guidance in the design of crisis prevention and mitigation policies. This paper introduces surrogate data models as dimensionality reduction tools in large-scale crisis prediction models. The appropriateness of this approach is assessed by their application to large-scale crisis prediction models developed at the IMF. The results are consistent with economic intuition and validate the use of surrogates as interpretability tools.
Monitoring Privately-held Firms' Default Risk in Real Time: A Signal-Knowledge Transfer Learning Model
We develop a mixed-frequency, tree-based, gradient-boosting model designed to assess the default risk of privately held firms in real time. The model uses data from publicly-traded companies to construct a probability of default (PD) function. This function integrates high-frequency, market-based, aggregate distress signals with low-frequency, firm-level financial ratios, and macroeconomic indicators. When provided with private firms' financial ratios, the model, which we name signal-knowledge transfer learning model (SKTL), transfers insights gained from 35 thousand publicly-traded firms to more than 4 million private-held ones and performs well as an ordinal measure of privately-held firms' default risk.
ABBA: An Agent-Based Model of the Banking System
A thorough analysis of risks in the banking system requires incorporating banks’ inherent heterogeneity and adaptive behavior in response to shocks and changes in business conditions and the regulatory environment. ABBA is an agent-based model for analyzing risks in the banking system in which banks’ business decisions drive the endogenous formation of interbank networks. ABBA allows for a rich menu of banks’ decisions, contingent on banks’ balance sheet and capital position, including dividend payment rules, credit expansion, and dynamic balance sheet adjustment via risk-weight optimization. The platform serves to illustrate the effect of changes on regulatory requirements on solvency, liquidity, and interconnectedness risk. It could also constitute a basic building block for further development of large, bottom-up agent-based macro-financial models.
Financial Crisis and Credit Crunch as a Result of Inefficient Financial Intermediation—with Reference to the Asian Financial Crisis
This paper develops a model of private debt financing under inefficient financial intermediation. It suggests a mechanism that can generate the following sequence of events observed in the recent Asian crisis: A period of relatively low capital flow despite a steady improvement in economic fundamentals (capital inflow inertia), followed by a fast buildup of capital inflow, and ended with a large capital outflow and domestic credit crunch. Unlike other models requiring large movements in fundamentals or asset prices to explain a financial crisis, this model can exhibit large credit/capital flow swings with moderate changes in the economic and market environment.
The Derivatives Revolution
It is now widely recognized that an uncontrolled "derivatives revolution" triggered one of the most spectacular worst-case scenarios of modern times. This book - the most cogent legal analysis of the subject yet to appear in any language - lays bare the core role played by the failure to adequately regulate derivatives in the financial crisis of recent years. The author's insistence that derivatives must be viewed not as profit-seeking investments but as risk management tools - and his well-grounded prescriptions to ensure that they are regulated in that way - sheds clear light on the best way for companies, financial institutions, and hedge funds to move forward in their use of these useful...
Scenario Analysis with the DD-PD Mapping Approach: Stock Market Shocks and U.S. Corporate Default Risk
This paper introduces the quantile regression- based Distance-to-Default to Probability of Default (DD-PD) mapping, which links individual firms’ DD to their real world PD. Since changes in the DD depend on a handful of parameters, the mapping easily accommodates shocks arising from quantitative and narrative scenarios informed by expert judgment. At end-2020, risks from stock market corrections in the U.S. are concentrated in the energy, financial and technology sectors, and additional bank capital needs could be large. The paper concludes discussing uses of the mapping beyond PD valuation suitable for capital structure analysis, credit portfolio management, and long-term scenario planning analysis.
Regulatory Capital Charges for Too-Connected-to-Fail Institutions
The recent financial crisis has highlighted once more that interconnectedness in the financial system is a major source of systemic risk. I suggest a practical way to levy regulatory capital charges based on the degree of interconnectedness among financial institutions. Namely, the charges are based on the institution’s incremental contribution to systemic risk. The imposition of such capital charges could go a long way towards internalizing the negative externalities associated with too-connected-to-fail institutions and providing managerial incentives to strengthen an institution’s solvency position, and avoid too much homogeneity and excessive reliance on the same counterparties in the financial industry.
The Global Financial Crisis and its Impact on the Chilean Banking System
This paper explores how the global turmoil affected the risk of banks operating in Chile, and provides evidence that could help strengthen work on vulnerability indicators and off-site supervision. The analysis is based on the study of default risk codependence, or CoRisk, between Chilean banks and global financial institutions. The results suggest that the impact of the global financial crisis was limited, inducing at most a one-rating downgrade to banks operating in Chile. The paper concludes by assessing government measures aimed at reducing systemic risk in the domestic banking sector and the recommendations to allocate SWF assets to domestic banks.
Hong Kong SAR
This Occasional Paper provides an overview of the main challenges facing Hong Kong SAR as it continues to become more closely integrated with the mainland of China. Section I provides an overview of recent macroeconomic developments and the main policy issues in Hong Kong SAR. Section II examines various aspects of the ongoing integration with the mainland, and the associated implications for the structure of the economy, and for macroeconomic and structural policies. Section III examines the medium-term fiscal outlook under different policy scenarios and discusses alternative policy options to restore fiscal balance. Section IV reviews recent developments in the real estate sector and their macroeconomic impacts. Section V presents an econome tric analysis of deflation and its determinants. Section VI examines the factors behind, and the implications of, rising wage inequality in Hong Kong SAR. Section VII presents an overview of recent developments in the financial sector and provides an assessment of Hong Kong SAR’s prospects as an international financial center.
