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A Guide to IMF Stress Testing
The IMF has had extensive involvement in the stress testing of financial systems in its member countries. This book presents the methods and models that have been developed by IMF staff over the years and that can be applied to the gamut of financial systems. An added resource for readers is the companion CD-Rom, which makes available the toolkit with some of the models presented in the book (also located at elibrary.imf.org/page/stress-test-toolkit).
IMF Research Bulletin, March 2016
The IMF Research Bulletin includes listings of recent IMF Working Papers and Staff Discussion Notes. The research summaries in this issue are “Explaining the Recent Slump in Investment” (Mathieu Bussiere, Laurent Ferrara, and Juliana Milovich) and “The Quest for Stability in the Housing Markets” (Hites Ahir). The Q&A column reviews “Seven Questions on Estimating Monetary Transmission Mechanism in Low-Income Countries” (Bin Grace Li, Christopher Adam, and Andrew Berg). Also included in this issue are updates on the IMF’s official journal, the IMF Economic Review, and recommended readings from IMF Publications.
United States
The stress testing analysis in the United States was based on publicly available information and on models that are subject to a considerable degree of uncertainty. The stress tests illustrate important vulnerabilities in the banking sector. It highlights the importance of macrofinancial linkages, and dependencies among the largest institutions. The results illustrate the high sensitivity of Bank Holding Company’s asset quality and capital positions. Market liquidity risks appear to have declined, although financial firms remain vulnerable to funding rollover risk. The life insurance sector is relatively resilient.
Loose Commitment
Due to time-inconsistency or policymakers' turnover, economic promises are not always fulfilled and plans are revised periodically. This fact is not accounted for in the commitment or the discretion approach. We consider two settings where the planner occasionally defaults on past promises. In the first setting, a default may occur in any period with a given probability. In the second, we make the likelihood of default a function of endogenous variables. We formulate these problems recursively, and provide techniques that can be applied to a general class of models. Our method can be used to analyze the plausibility and the importance of commitment and characterize optimal policy in a more realistic environment. We illustrate the method and results in a fiscal policy application.
A Solution to the Default Risk-business Cycle Disconnect
Models of business cycles in emerging economies explain the negative correlation between country spreads and output by modeling default risk as an exogenous interest rate on working capital. Models of strategic default explain the cyclical properties of sovereign spreads by assuming an exogenous output cost of default with special features, and they underestimate debt-output ratios by a wide margin. This paper proposes a solution to this default risk-business cycle disconnect based on a model of sovereign default with endogenous output dynamics. The model replicates observed V-shaped output dynamics around default episodes, countercyclical sovereign spreads, and high debt ratios, and it also matches the variability of consumption and the countercyclical fluctuations of net exports. Three features of the model are key for these results: (1) working capital loans pay for imported inputs; (2) imported inputs support more efficient factor allocations than when these inputs are produced internally; and (3) default on the foreign obligations of firms and the government occurs simultaneously.
Trade Elasticity of Substitution and Equilibrium Dynamics
The empirical literature provides a wide range of estimates for trade elasticities at the aggregate level. Furthermore, recent contributions in international macroeconomics suggest that low (implied) values of the trade elasticity of substitution may play an important role in understanding the disconnect between international prices and real variables. However, a standard model of the international business cycle displays multiple locally isolated equilibria if the trade elasticity of substitution is sufficiently low. The main contribution of this paper is to compute and characterize some dynamic properties of these equilibria. While multiple steady states clearly signal equilibrium multiplicity in the dynamic setup, this is not a necessary condition. Solutions based on log-linearization around a deterministic steady state are of limited to no help in computing the true dynamics. However, the log-linear solution can hint at the presence of multiple dynamic equilibria.
Regional Economic Outlook, April 2016, Western Hemisphere Department
The United States has seen an improvement in economic activity, driven by consumption, and has taken a first step toward gradual normalization of interest rates. The U.S. recovery continues to support activity in Mexico, Central America, and the Caribbean, but China’s slowdown has reduced the demand for exports from South America. At the same time, the region’s commodity exporters have experienced further terms-of-trade shocks as commodity prices continue their decline globally. This report describes the policies and economic reforms needed to address the declining productive capacity in Latin America and the Caribbean. Three chapters assess corporate vulnerabilities in Latin America, analyze the degree of exchange rate pass-through in the region, and evaluate trends in public and private infrastructure investment.
Interpreting Long-horizon Estimates in Predictive Regressions
This paper analyzes the asymptotic properties of long-horizon estimators under both the null hypothesis and an alternative of predictability. Asymptotically, under the null of no predictability, the long-run estimator is an increasing deterministic function of the short-run estimate and the forecasting horizon. Under the alternative of predictability, the conditional distribution of the long-run estimator, given the short-run estimate, is no longer degenerate and the expected pattern of coefficient estimates across horizons differs from that under the null. Importantly, however, under the alternative, highly endogenous regressors, such as the dividend-price ratio, tend to deviate much less than exogenous regressors, such as the short interest rate, from the pattern expected under the null, making it more difficult to distinguish between the null and the alternative.
Do Differences in Financial Development Explain the Global Pattern of Current Account Imbalances?
This paper addresses the popular view that differences in financial development explain the pattern of global current account imbalances. One strain of thinking explains the net flow of capital from developing to industrial economies on the basis of the industrial economies' more advanced financial systems and correspondingly more attractive assets. A related view addresses why the United States has attracted the lion's share of capital flows from developing to industrial economies; it stresses the exceptional depth, breadth, and safety of U.S. financial markets.
Jackknifing Stock Return Predictions
We show that the general bias reducing technique of jackknifing can be successfully applied to stock return predictability regressions. Compared to standard OLS estimation, the jackknifing procedure delivers virtually unbiased estimates with mean squared errors that generally dominate those of the OLS estimates. The jackknifing method is very general, as well as simple to implement, and can be applied to models with multiple predictors and overlapping observations. Unlike most previous work on inference in predictive regressions, no specific assumptions regarding the data generating process for the predictors are required. A set of Monte Carlo experiments show that the method works well in finite samples and the empirical section finds that out-of-sample forecasts based on the jackknifed estimates tend to outperform those based on the plain OLS estimates. The improved forecast ability also translates into economically relevant welfare gains for an investor who uses the predictive regression, with jackknifed estimates, to time the market.
