Assessing the predictive power of financial spreads in the euro area: does parameters instability matter?

In the empirical literature there is wide consensus that financial spreads cannot constitute a broadly based assessment on future output growth and inflation because the bivariate estimated regressions are not stable over time and lead to relatively poor out-of-sample forecasting performance (e.g. J Econ Liter 41:788–829, 2003). This conclusion arised for the USA, as well as for several European countries. In this paper we check whether the marginal predictive content of some financial spreads (the slope of the yield curve, the reverse yield gap and the credit spread) for macroeconomic forecasting in the euro area can be recovered using techniques taking into account potential parameters instability. We set up a quarterly Bayesian vector autoregression model with time-varying coefficients, comprising both target variables, as well as other monetary policy indicators, to serve as a benchmark. Then, the properties of the spreads as leading indicators are assessed by augmenting this benchmark BVAR with the spreads, one at a time. We find time variation of the coefficients to be a relevant issue in our model, especially for forecasting output growth, but financial spreads continue to have no or negligible marginal predictive content for both output growth and inflation. Overall, our results confirm that there is no ready-to-use financial spread that can replace an encompassing multivariate model for the prediction of target variables in the euro area.      

A decomposition of the predictive content of the term structure for output growth in Canada

The purpose of this study is to identify the underlying economic disturbances that drive the predictive content of the term structure for future output growth and those that may distort its information content. The study uses a structural vector autoregressive (VAR) model of a small and open economy for Canada that takes into account its relationship with financial markets in the USA and that Canada is a relatively large exporter of commodities. The model is used to decompose the sources of the variation of the slope of the yield curve and the correlation between the term spread and output growth. Monetary policy disturbances in both Canada and the USA, as well as short-term interest rates, are found to trigger excessive volatility in short-term rates and the term spread that do not contribute to the predictive content of the term spread for future output growth at horizons relevant for monetary policy analysis. However, innovations in output growth, inflation and other macroeconomic variables do not distort the forecast power of the term spread. Unlike the evidence for the USA, disturbances in nominal long-term yields are found to contribute about the same amount to the predictive content of the term spread as unexpected movements in monetary policy.     

Predicting European Union Recessions in the Euro Era: The Yield Curve as a Forecasting Tool of Economic Activity

Several studies have established the predictive power of the yield curve for the U.S. and various European countries. In this paper we use data from the European Union (EU15), from 1994:Q1 to 2008:Q3. We use the European Central Bank’s euro area yield spreads to predict European real GDP deviations from the long-run trend. We also augment the models tested with non monetary policy variables: the unemployment and a composite European stock price index. The methodology employed is a probit model of the inverse cumulative distribution function of the standard distribution using several formal forecasting and goodness of fit evaluation tests. The results show that the yield curve augmented with the composite stock index has significant forecasting power in terms of the EU15 real output.     

Disentangling the Predictive Power of Term Spreads under Inflation Targeting

Under inflation targeting, S. Cho and J. Lee (2014, Inflation targeting and predictive power of term spreads. Seoul Journal of Economics, 27, 391–419), A. Estrella (2005, Why does the yield curve predict output and inflation? The Economic Journal, 115, 722–744) and P.L. Siklos (2000, Inflation targets and the yield curve: New Zealand and Australia versus the US. International Journal of Finance &; Economics, 5, 15–32) have reported that the predictive power of yield spreads for future inflation decreases in inflation targeting countries. In this paper, we decompose the yield spread into the expectations hypothesis component and the term premium, and find that the decrease in the predictability is mostly due to the deterioration of information embedded in the expectations hypothesis component. Our finding reveals that if inflation targeting is successful in achieving its main goal, then the expectations for future inflation are anchored at the target inflation rate (or range), and thereby the predictive contents of the term spreads regarding future inflation decrease.     

Controllability and Persistence of Money Market Rates along the Yield Curve: Evidence from the Euro Area

Abstract. Controllability of longer‐term interest rates requires that the persistence of their deviations from the central bank's policy rate (i.e. the policy spreads) remains sufficiently low. This paper applies fractional integration techniques to assess the persistence of policy spreads of euro area money market rates along the yield curve. Independently from anticipated policy rate changes, there is strong evidence for all maturities that policy spreads exhibit long memory. We show that recent changes in the operational framework and the communication strategy of the European Central Bank (ECB) have significantly decreased the persistence of euro area policy spreads and, thus, have enhanced the ECB's influence on longer‐term money market rates.     

Corporate yield curves as predictors of future economic and financial indicators

The government yield curve is known for its ability to predict the future growth rate of the economy. Later studies showed that credit spreads can assist in predicting macroeconomic behaviour as well. We extend this notion by utilizing corporate yield curves and demonstrating that corporate yield curve spreads can predict future economic growth, the future state of the economy and stock market behaviour. In addition, our sample covers the most recent data available, and it also includes the crash year of 2008 and the recovery period following it. Our results reveal a trade-off effect between the government yield curve, which is a better predictor for long-term forecasting, and the corporate yield curves, which are better predictors for short-term predictions. In addition, we show that both the government and corporate yield curves are more effective in predicting negative rather than positive economic changes.     

Yield curve and the macroeconomy: Evidence from a DSGE model with housing

The slope of the yield curve has long been found to be a useful predictor of future economic activities, but the relationship is unstable. One change we have identified in this paper is that, between the early 1990s and the collapse of the housing market in 2007, movements at the long end of the yield curve have an increase in predictive power. We use a medium-scale DSGE model with a housing sector and a yield curve as a guide to find out the sources of such change. The model implies that an increase in the short-term interest rate and a decrease in the long-term interest rate have different impacts on the economy, and to use the slope as a predictor one needs to distinguish movements at the two ends of the yield curve. Based on simulated data from the model, we find that nominal wage rigidities and the capital adjustment costs are closely related to the predictive power of the yield curve. This result is further confirmed with actual data.     

GOVERNMENT BOND YIELDS AT THE EFFECTIVE LOWER BOUND: INTERNATIONAL EVIDENCE

Empirical evidence on the potential impact of central bank policies on government bond yields at the effective lower bound (ELB) is presented for nine economies. We quantify the content of central bank communications and consider international policy spillovers. Yields at the medium‐to‐longer end of the yield curve remain responsive to news for a few years after the ELB is reached. Yields become more sensitive to the content central bank communication at the ELB. Our results provide further evidence that central bank communication is an important element of monetary policy making when the interest rate tool loses efficacy. (JEL E52, E58, G12, F42)     

INTEREST RATES, RATE SPREADS, AND ECONOMIC ACTIVITY

Interest rates and the spreads between interest rates are widely regarded as useful indicators of the future level of economic activity. This paper shows that when these series are divided into (i) an ordinary time series process and (ii) the effects of extraordinary disturbances, only the extraordinary disturbances predict economic activity. These disturbances are associated with periods of monetary policy intervention. Most of the predictive power is in contractionary disturbances that have persistent effects over time. The results imply that the predictive power of interest rates comes primarily from periods of contractionary monetary policy and is not due to ordinary movements in interest rates.     

Does a factor Phillips curve help? An evaluation of the predictive power for U.S. inflation

This article evaluates various models’ predictive power for U.S. inflation rate using a simulated out-of-sample forecasting framework. The starting point is the traditional unemployment Phillips curve. We show that a factor Phillips curve model is superior to the traditional Phillips curve, and its performance is comparable to other factor models. We find that a factor AR model is superior to the factor Phillips curve model, and is the best bivariate or factor model at longer horizons. Finally, we investigate a New Keynesian Phillips curve model, and find that its forecasting performance dominates all other models at the longer horizons.     

Optimal Loan Loss Provisions and Welfare

We study the welfare implications of optimal loan loss provisions in a New Keynesian model featuring endogenous default risk and inflationary credit spreads. A unique link between provisions, credit spreads and inflation can be employed to enhance macroeconomic stability. Optimal provisions are most effective when dealing with cost-push financial shocks inherent in volatile spreads and the zero bound problem of monetary policy. Relaxing provisioning requirements following a recessionary financial disturbance consistently achieves the first-best outcome while nullifying the value of monetary policy under commitment. In contrast, deflationary demand shocks warrant an optimal rise in provisions, which inflate prices yet mildly contract output.     

The natural yield curve: its concept and measurement

This paper illustrates the concept of the natural yield curve and how to measure it. The natural yield curve extends the idea of the natural rate of interest defined at a single maturity to one defined for all maturities. If the actual real yield curve matches the natural yield curve, the output gap will converge to zero. An empirical analysis using data for Japan shows that past monetary easing programs expanded the gap between the actual real yield curve and the natural yield curve mainly for short and medium maturities and led to accommodative financial conditions. By contrast, the quantitative and qualitative monetary easing policy has expanded the gap for long maturities as well as short and medium maturities. The natural yield curve is expected to provide a useful benchmark in the conduct of both conventional monetary policy and unconventional monetary policy aiming to influence the entire yield curve.     

The relevance and relative robustness of sources of inflation bias in Pakistan

We empirically examine the relevance and relative robustness of stabilization and non-stabilization sources of inflation bias for the typical discretionary monetary policy strategy of Pakistan. First, the stabilization and non-stabilization sources of inflation bias are identified, and their proxy variables are constructed. Second, a robustness evaluation strategy is developed based on bivariate and multivariate analysis of cointegrating relationships among inflation bias indicators and potential sources thereof to determine their long-term relevance and relative robustness or fragility. The stabilization sources of inflation bias such as exploitation of the inflation output trade-off for growth stimulation and the central bank’s preference for growth stabilization are the most relevant and relatively robust sources of inflation bias vis-à-vis the non-stabilization sources. Among the non-stabilization sources, only openness is partially relevant but is fragile.     

The information content of the term structure: Evidence for Germany

This paper studies the usefulness of spreads between interest rates of different maturities as indicators of future inflation and real interest rates in Germany, using monthly data starting in 1967∶1. The central results are twofold. First, the interest rate spreads considered contain considerable information about future changes in inflation, but no information about the time path of real interest rates. Second, the medium-term segment of the yield curve (spreads between 6 and 2 year rates, for instance) appears to be the most informative for future inflation. These results are similar to those obtained by Mishkin (1990b) and Jorion and Mishkin (1991).     

Nonstationarity,cointegration and structural breaks in the Australian term structure of interest rates

This article examines the unit-root property of the Australian short- and long-term interest rates using unit-root tests that accommodate a single or two breaks under the null and/or alternative hypothesis. Two breaks in interest rates are found to coincide with the 1982/83 and 1990/91 recessions or the 1993 inflation targeting period. We further investigate the implications of these structural breaks on the cointegrating relationship implied by the single, linear expectations hypothesis of the term structure of interest rates. While there is evidence that the data are consistent with the expectations hypothesis at the shorter end of the term structure, breaks in interest rates generate a shift in the cointegrating relationship, thus altering the information content of the term structure. Failing to account for a regime shift in the cointegration regression, the data erroneously supports the expectations hypothesis at the longer end of the term structure. These results have profound implications for policy makers who may inadequately exploit the information content of the term structure to predict future changes in inflation.     

Market‐Based Measures of Monetary Policy Expectations and Their Evolution Since the Introduction of the Euro

The paper considers the relation between monetary policy expectations and financial markets in the case of Europe. A number of money market instruments are compared, with the result that the 1‐month forward interest rates extracted from the Libor yield curve has the best prediction power of the future monetary policy path. These forward rates have been used to study the evolution of market expectations regarding the monetary policy of the European Central Bank (ECB). The sharp increases and the following decreases in interest rates during 2000–2001 have reduced the predictive power of money market instruments, but smoother management of interest rates and better communication from the ECB has helped to improve the forecasting power of money market instruments.     

Model uncertainty and asset return predictability: an application of Bayesian model averaging

We investigate model uncertainty associated with predictive regressions employed in asset return forecasting research. We use simple combination and Bayesian model averaging (BMA) techniques to compare the performance of these forecasting approaches in short-vs. long-run horizons of S&P500 monthly excess returns. Simple averaging involves an equally-weighted averaging of the forecasts from alternative combinations of factors used in the predictive regressions, whereas BMA involves computing the predictive probability that each model is the true model and uses these predictive probabilities as weights in combing the forecasts from different models. From a given set of multiple factors, we evaluate all possible pricing models to the extent, which they describe the data as dictated by the posterior model probabilities. We find that, while simple averaging compares quite favorably to forecasts derived from a random walk model with drift (using a 10-year out-of-sample iterative period), BMA outperforms simple averaging in longer compared to shorter forecast horizons. Moreover, we find further evidence of the latter when the predictive Bayesian model includes shorter, rather than longer lags of the predictive factors. An interesting outcome of this study tends to illustrate the power of BMA in suppressing model uncertainty through model as well as parameter shrinkage, especially when applied to longer predictive horizons.     

Central banks' voting records,the financial crisis and future monetary policy

We examine whether central banks' voting records help predict the future course of monetary policy in the Czech Republic, Hungary, Poland, Sweden and the United Kingdom, controlling for financial market expectations. Unlike previous research, we first examine the period of the global financial crisis, characterized by a high level of uncertainty, and second, examine the predictive power of voting records over longer time horizons, i.e., the next monetary policy meeting and beyond. We find that voting records predict the policy rate set at the next meeting in all central banks that are recognized as independent. In some central banks, voting records are found—before, but not during, the financial crisis—to be informative about monetary policy at even more distant time horizons.     

Monetary policy and corporate bond yield spreads

Firm characteristics, economic conditions and policy regimes are the key determinants that most researchers have used to explain corporate bond yield spreads. In this article, we examine whether monetary policy shocks are also important determinants given their ability to affect default risk, risk aversion and liquidity premiums. Using a Vector Autoregression (VAR) with long-run monetary neutrality, we find that monetary policy shocks do, in fact, account for a large portion of the variation in corporate bond yield spreads.