Predictions of short-term rates and the expectations hypothesis

This paper emphasizes that traditional tests of the EH are based on two assumptions: the expectations hypothesis (EH) per se and an assumption about the expectations generating process (EGP) for the short-term rate. Arguing that conventional tests of the EH need to assume EGPs that may be significantly at odds with the true EGP, we investigate this possibility by analyzing the out-of-sample predictive performances of several models for predicting interest rates, including a few models which assume that the EH holds in its functional form that relates long- to short-term yields. Using US riskless yield data for a 1970–2016 monthly sample and testing methods that take into account the parameter uncertainty, the null hypothesis of an equal predictive accuracy of each model relative to the random walk alternative is hardly ever rejected at intermediate and long horizons. This confirms that, at least at a practical level, the main difficulty with the EH is represented by the effective prediction of short-term rates. We discuss the relevance of these findings for central banks’ use of forward guidance.     

Time-frequency co-movements between oil prices and interest rates: Evidence from a wavelet-based approach

This paper investigates time–frequency co-movements between crude oil prices and interest rates. To test this relationship, the study applied a continuous wavelet and cross wavelet approaches to data from West Texas Intermediate (WTI) crude oil prices and interest rates in the United States (U.S.). Results from the sample period revealed significant relationships, in the intermediate term, between WTI crude oil prices and U.S. interest rates. Moreover, co-movements between oil price and interest rate variables were especially sensitive during abnormal political events and periods of financial ‘meltdown’. We further use Partial Wavelet Coherence (PWC) and Multiple Wavelet Coherence (MWC) methods to investigate the impacts of five major control variables namely GDP growth, unemployment, three-month Treasury bill, CPI index and industrial production index. The results show a powerful impact of control variables on oil-interest rates co-movements under different frequencies. Finally, we show evidence of co-integrating long run relationship between oil markets and control variables. These results have important implications for energy investors and policy makers.     

Optimal interest rate stabilization in a basic sticky-price model

This paper studies optimal monetary policy with the nominal interest rate as the single policy instrument. Firms set prices in a staggered way without indexation and real money balances contribute separately to households’ utility. The optimal deterministic steady state under commitment is the Friedman rule—even if the importance assigned to the utility of money is small relative to consumption and leisure. We approximate the model around the optimal steady state as the long-run policy target. Optimal monetary policy is characterized by stabilization of the nominal interest rate instead of inflation stabilization as the predominant principle.     

Testing the random walk hypothesis for real exchange rates

This paper tests the random walk hypothesis for the log-differenced monthly US real exchange rates versus some major currencies. The tests we use are variance ratio test, Durlauf's (1991) spectral domain tests and Andrews and Ploberger's ( 1996) optimal tests. The variance ratio test is calculated by using Andrews' (1991) optimal data-dependent methods. Finite sample properties of these tests are also reported. Because the results of applying these tests to the real exchange rates are occasionally inconsistent, tests to synthesize these test results are proposed and applied to the real exchange rates. These tests have often been used in meta-analysis, but have not previously been used to synthesize different test results. Simulation results for these tests are also reported. For the real exchange rate data from the post-Bretton Woods period, these tests reject the null only for the Swiss franc. But when longer-horizon data are used, there is more evidence of serial correlations in the log-differenced real exchange rates. Copyright © 1999 John Wiley & Sons, Ltd.     

Forecasts of US short-term interest rates: A flexible forecast combination approach

This paper develops a flexible approach to combine forecasts of future spot rates with forecasts from time-series models or macroeconomic variables. We find empirical evidence that, accounting for both regimes in interest rate dynamics, and combining forecasts from different models, helps improve the out-of-sample forecasting performance for US short-term rates. Imposing restrictions from the expectations hypothesis on the forecasting model are found to help at long forecasting horizons.     

Testing the forward volatility unbiasedness hypothesis in exchange rates under long-range dependence

This paper analyses the unbiasedness hypothesis between spot and forward volatility, using both the actual and the continuous path of realised volatility, and focusing on long-memory properties. For this purpose, we use daily realised volatility with jumps for the USD/EUR exchange rate negotiated in the FX market and employ fractional integration and cointegration techniques. Both series have long-range dependence, and so does the error correction term of their long-run relationship. Hence, deviations from equilibrium are highly persistent, and the effects of shocks affecting the long-run relationship dissipate very slowly. While for long-term contracts, there is some empirical evidence that the forward volatility unbiasedness hypothesis does not hold – and, thus, that forward implied volatility is a systematically downward-biased predictor of future spot volatility – for short-term contracts, the evidence is mixed.     

Testing a discrete switching disequilibrium model of the UK labour market

This paper develops a test procedure for serial correlation for discrete switching disequilibrium models which include both an endogenous price adjustment equation and lagged dependent variables. The tests are applied to a model of the UK labour market and the model is respecified in the light of the test results.     

Testing the higher education-led growth hypothesis in a small island: an empirical investigation from a new version of the Solow growth model

This study employs a new version of the Solow Growth Model in order to investigate the higher education-led growth (HELG) hypothesis in the case of North Cyprus. Results reveal that a long-run equilibrium relationship exists between real income growth of North Cyprus and its determinants, namely capital, labor, and the higher education sector. Results show that real income growth converges to its long-term equilibrium level by 10.9 %. Granger causality tests suggest undirectional causality from higher education growth to real income growth in North Cyprus. Therefore, the HELG hypothesis can be inferred for the Turkish Cypriot economy.     

The expectations hypothesis and decoupling of short- and long-term US interest rates: A pairwise approach

The link between short-term policy rates and long-term rates elucidate the potential effectiveness of monetary policy. We examine the US term structure of interest rates using a pairwise econometric approach advocated by Pesaran (2007). Our empirical modelling strategy employs a probabilistic test statistic for the expectations hypothesis of the term structure based on the percentage of unit root rejections among all interest rate differentials. We find support for the expectations hypothesis and provide new insights into the nature of interest rate decoupling which are of value to policymakers. The maturity gap associated with interest rate pairs negatively impacts on the probability of stationarity, and also on the speed of adjustment towards long-run equilibrium. We further show that the speed of adjustment has become more sensitive to the maturity gap over time.     

Forecasting the US term structure of interest rates using a macroeconomic smooth dynamic factor model

We extend the class of dynamic factor yield curve models in order to include macroeconomic factors. Our work benefits from recent developments in the dynamic factor literature related to the extraction of the common factors from a large panel of macroeconomic series and the estimation of the parameters in the model. We include these factors in a dynamic factor model for the yield curve, in which we model the salient structure of the yield curve by imposing smoothness restrictions on the yield factor loadings via cubic spline functions. We carry out a likelihood-based analysis in which we jointly consider a factor model for the yield curve, a factor model for the macroeconomic series, and their dynamic interactions with the latent dynamic factors. We illustrate the methodology by forecasting the U.S. term structure of interest rates. For this empirical study, we use a monthly time series panel of unsmoothed Fama–Bliss zero yields for treasuries of different maturities between 1970 and 2009, which we combine with a macro panel of 110 series over the same sample period. We show that the relationship between the macroeconomic factors and the yield curve data has an intuitive interpretation, and that there is interdependence between the yield and macroeconomic factors. Finally, we perform an extensive out-of-sample forecasting study. Our main conclusion is that macroeconomic variables can lead to more accurate yield curve forecasts.     

Testing the unbiased forward exchange rate hypothesis using a Markov switching model and instrumental variables

This paper develops a model for the forward and spot exchange rate which allows for the presence of a Markov switching risk premium in the forward market and considers the issue of testing the unbiased forward exchange rate (UFER) hypothesis. Using US/UK data, it is shown that the UFER hypothesis cannot be rejected, provided that instrumental variables are used to account for within‐regime correlation between explanatory variables and disturbances in the Markov switching model on which the test is based. Copyright © 2005 John Wiley & Sons, Ltd.     

Empowerment and Accountability: Evidence from the UK Privatized Water Industry

abstract    Empowerment initiatives have become popular in recent years in programmes of organizational change, but their impact as a practical managerial policy remains shrouded in ambiguities. We attempt to provide a fuller understanding of their impact, firstly by exploring managers' understanding of what constitutes empowerment, and secondly by locating the analysis of changes in managers' experiences of empowerment in the context of their experiences of changes in accountability practices. Drawing on data from interviews with managers and a mail questionnaire, we argue that the experience of empowerment is multi-faceted, and shaped by managers' attitudes towards it. Moreover we find that accountability plays a more significant and independent role in encouraging managers to engage in empowerment than has hitherto been acknowledged.     

Default rates in the loan market for SMEs: Evidence from Slovakia

Financial markets in emerging economies are often perceived as more risky than those in developed countries. We investigate whether this is true for loans to SMEs using a unique unbalanced panel of nearly 700 loans made to SMEs in Slovakia between 2000 and 2005. Several probit and panel probit models show that liquidity and profitability factors are important determinants of SME defaults. Moreover, we find that indebtedness significantly increases the probability of default. Liability as proxied by the legal form of SMEs has important incentive effects. Finally, there exist significant differences between sectors. We show that default rates and factors converged to values found in developed financial markets.     

An empirical test of the Balassa-Samuelson hypothesis: Evidence from eight middle-income countries in Africa

The paper tests the validity of the Balassa-Samuelson hypothesis (BSH) using the within-effects and the dynamic panel generalised methods of moment (GMM) techniques for a panel of eight middle-income African countries over the period 1960–2009. We selected these countries because they exhibited a mixture of relative productivity growth and real exchange rate misalignment that fits the characterization of the BSH well. The results strongly support the BSH for this group of countries. The results are valid even after we controlled for potentially omitted variables and endogeneity. The implication is that as these countries become more productive, their currencies appreciate in real terms.     

The time-varying behaviour of real interest rates: a re-evaluation of the recent evidence

A time-varying parameter model with Markov-switching conditional heteroscedasticity is employed to investigate two sources of shifts in real interest rates: (1) shifts in the coefficients relating the ex ante real rate to the nominal rate, the inflation rate and a supply shock variable and (2) unconditional shifts in the variance of the stochastic process. The results underscore the importance of modelling continual change in the ex ante real rate in terms of other economic variables rather than relying on a statistical characterization that permits only a limited number of discrete jumps in the mean of the process. Copyright © 1999 John Wiley & Sons, Ltd.     

Beware of breaks in exchange rates: Evidence from European transition countries

We endogenously search for the single most decisive structural break in exchange rate for a group of European transition countries under the hypothesis that structural breaks in exchange rates are driven by exchange rate policies. Detected breaks were frequently associated with major changes in exchange rate regime. However, several breaks were found not to be driven by exchange rate policies. By this token, the lack of coincidence between policy step and exchange rate regime shift hints at imperfect timing of exchange regime modification. Further, since a one time break can lead to inconsistent results, structural breaks in exchange rates should be accounted for in empirical research.     

Cash holding dynamics and competition intensity: Evidence from UK firms

Using a quasi-natural experiment and various measures of competition intensity, we examine whether an increase in product market competition is a key driver of firm cash holdings. We find that firms increase cash holdings when competition is intense. The results suggest that the degree of increase in cash holdings is magnified among firms exposed to high predatory threat and financing friction. In addition, we examine if increasing cash holdings offers a competitive advantage in the product market. Our results indicate that firms with large cash reserves make gains in market share at the expense of their rivals. Gains in the product market are more pronounced among firms with low exposure to predatory risk and financing frictions.     

Can the random walk model be beaten in out-of-sample density forecasts? Evidence from intraday foreign exchange rates

It has been documented that random walk outperforms most economic structural and time series models in out-of-sample forecasts of the conditional mean dynamics of exchange rates. In this paper, we study whether random walk has similar dominance in out-of-sample forecasts of the conditional probability density of exchange rates given that the probability density forecasts are often needed in many applications in economics and finance. We first develop a nonparametric portmanteau test for optimal density forecasts of univariate time series models in an out-of-sample setting and provide simulation evidence on its finite sample performance. Then we conduct a comprehensive empirical analysis on the out-of-sample performances of a wide variety of nonlinear time series models in forecasting the intraday probability densities of two major exchange rates—Euro/Dollar and Yen/Dollar. It is found that some sophisticated time series models that capture time-varying higher order conditional moments, such as Markov regime-switching models, have better density forecasts for exchange rates than random walk or modified random walk with GARCH and Student-t innovations. This finding dramatically differs from that on mean forecasts and suggests that sophisticated time series models could be useful in out-of-sample applications involving the probability density.