Arturo Estrella

Predicting U.S. Recessions: Financial Variables as Leading Indicators

This paper examines the out-of-sample performance of various financial variables as predictors of U.S. recessions. Series such as interest rates and spreads, stock prices, and monetary aggregates are evaluated individually and in comparison with other financial and nonfinancial indicators. The analysis focuses on out-of-sample performance from one to eight quarters ahead. Results show that stock prices are useful with one- to three-quarter horizons, as are some well-known macroeconomic indicators. Beyond one quarter, however, the slope of the yield curve emerges as the clear individual choice and typically performs better by itself out of sample than in conjunction with other variables.

The predictive power of the term structure of interest rates in Europe and the United States: Implications for the European Central Bank

Abstract This paper examines the relationship of the term structure of interest rates to monetary policy instruments and to subsequent real activity and inflation in both Europe and the United States. The results show that monetary policy is an important determinant of the term structure spread, but is unlikely to be the only determinant. In addition, there is significant predictive power for both real activity and inflation. The yield curve is thus a simple and accurate measure that should be viewed as one piece of useful information which, along with other information, can be used to help guide European monetary policy.

Is There a Role for Monetary Aggregates in the Conduct of Monetary Policy

We examine the potential policy role of monetary aggregates by attempting to use them as effectively as possible in the analysis of empirical relationships. We consider three possible roles: as information variables, as indicators of policy actions and as instruments in a policy rule. These require successively stronger and more stable relationships between the aggregates and the final policy targets. Our results show that in the United States since 1979, the monetary aggregates fall considerably short of those requirements, and results with German M3 are hardly more favorable. We also investigate whether empirical relationships are not reflective of causal relationships because of the use of these variables in counter cyclical policy. The results are reasonably consistent with that notion in the case of interest rates, but not in the case of the aggregates.

How stable is the predictive power of the yield curve? evidence from Germany and the United States

Empirical research over the last decade has uncovered predictive relationships between the slope of the yield curve and subsequent real activity and inflation. Some of these relationships are highly significant, but their theoretical motivations suggest that they may not be stable over time. We use recent econometric techniques for break testing to examine whether the empirical relationships are in fact stable. We consider continuous models, which predict either economic growth or inflation, and binary models, which predict either recessions or inflationary pressure. In each case, we draw on evidence from Germany and the United States. Models that predict real activity are more stable than those that predict inflation, and binary models are more stable than continuous models. The model that predicts recessions is stable over our full sample period in both Germany and the United States.

The Cyclical Behavior of Optimal Bank Capital

Abstract This paper presents a dynamic model of optimal bank capital in which the bank optimizes over costs associated with failure, holding capital, and flows of external capital. The solution to the infinite-horizon stochastic optimization problem is related to period-by-period value at risk (var) in which the optimal probability of failure is endogenously determined. Over a cycle, var is positively correlated with optimal flows of external capital, but negatively correlated with optimal net changes in capital and the optimal level of total capital. Analysis of this pattern suggests that a regulatory minimum requirement based on var, if binding, is likely to be procyclical. The model points to several ways of reducing this problem. For example, a var-based requirement makes more sense if it is applied to external capital flows than if it is applied to the total level of capital. US commercial bank data since 1984 are generally consistent with the model.

How Stable is the Predictive Power of the Yield Curve? Evidence from Germany and the United States

Empirical research over the last decade has uncovered predictive relationships between the slope of the yield curve and subsequent real activity and inflation. Some of these relationships are highly significant, but their theoretical motivations suggest that they may not be stable over time. We use recent econometric techniques for break testing to examine whether the empirical relationships are in fact stable. We consider continuous models, which predict either economic growth or inflation, and binary models, which predict either recessions or inflationary pressure. In each case, we draw on evidence from Germany and the United States. Models that predict real activity are somewhat more stable than those that predict inflation, and binary models are more stable than continuous models. The model that predicts recessions is stable over our full sample period in both Germany and the United States.

Monetary Policy Shifts and the Stability of Monetary Policy Models

Since the publication (1976) of the classic Lucas critique, researchers in empirical macroeconomics have endeavored to specify models that capture the underlying dynamic decision-making behavior of consumers and firms who require forecasts of future events. Recently, a number of researchers have developed simple models that have become the workhorses for monetary policy analysis. The models vary considerably with regard to optimizing foundations and explicit treatment of expectations. However, relatively little effort has been devoted to testing the empirical importance of the Lucas critique for these simple models. Can one find specifications that are policy-invariant? This paper develops and implements a set of tests for several monetary policy models used extensively in the literature. In particular, we attempt to test the robustness of optimizing versus nonoptimizing models to changes in the monetary policy regime. We present evidence that shows that some forward-looking models from the recent literature may be less stable than their better-fitting backward-looking counterparts.

The Yield Curve as a Predictor of U.S. Recessions

The yield curve--specifically, the spread between the interest rates on the ten-year Treasury note and the three-month Treasury bill--is a valuable forecasting tool. It is simple to use and significantly outperforms other financial and macroeconomic indicators in predicting recessions two to six quarters ahead.

Mixing and matching: Prospective financial sector mergers and market valuation

Abstract Which types of mergers are likely to be most productive for banks and other financial firms in the US? From a management perspective, mixing disparate firms may be difficult, but may offer significant gains from diversification. The opposite applies to matching similar firms. This paper considers life insurance, property and casualty insurance, securities, and commercial firms as potential matches for banks. It examines a measure of diversification gains from potential consolidation, based on option pricing, and a model of the “building blocks” of the industries, based on arbitrage pricing theory. The results identify potential diversification gains from virtually all combinations involving banking and insurance, which arise because common factors are combined in different ways and because insurance is already well diversified.

Monetary Cycles, Financial Cycles and the Business Cycle

One of the most robust stylized facts in macroeconomics is the forecasting power of the term spread for future real activity. The economic rationale for this forecasting power usually appeals to expectations of future interest rates, which affect the slope of the term structure. In this paper, we propose a possible causal mechanism for the forecasting power of the term spread, deriving from the balance sheet management of financial intermediaries. When monetary tightening is associated with a flattening of the term spread, it reduces net interest margin, which in turn makes lending less profitable, leading to a contraction in the supply of credit. We provide empirical support for this hypothesis, thereby linking monetary cycles, financial cycles, and the business cycle.