Assessing efficiency and investment opportunities in commodities: A time series and portfolio simulations approach

This paper investigates the informational efficiency hypothesis in the short and long term for four major commodity markets (oil, gas, electricity, and coal) from January 1997 to January 2016. Unlike previous studies, we provide a more concise comparative analysis by focusing on different classes of commodities for a large sample, including 5 developed and 3 emerging regions and covering 46 countries. We apply different parametric and non-parametric econometric tests. Our study provides two interesting findings. First, we show that commodity markets are informationally inefficient in the short term. Our portfolio simulations highlight that commodities might provide “good” investment opportunities, but those opportunities vary according to commodity class and regions. Second, we show that most commodity markets become informationally efficient in the long term, thereby reducing investors' interest for the duration. Thus, commodity markets might be used to hedge investor’s portfolios, particularly for speculators and chartists in the short term, while these investments might not be appealing in these markets in the long term.     

Forecasting nonlinear economic time series: A simple test to accompany the nearest neighbor approach

This paper is based on a recent nonparametric forecasting approach by Sugihara, Grenfell and May (1990) to improve the short term prediction of nonlinear chaotic processes. The idea underlying their forecasting algorithm is as follows: For a nonlinear low-dimensional process, a state space reconstruction of the observed time series exhibits spatial correlation, which can be exploited to improveshort term forecasts by means of locally linear approximations. Still, the important question of evaluating the forecast perfomance is very much an open one, if the researcher is confronted with data that are additionally disturbed by stochastic noise. To account for this problem, a simple nonparametric test to accompany the algorithm is suggested here. To demonstrate its practical use, the methodology is applied to observed price series from commodity markets. It can be shown that the short term predictability of the best fitting linear model can be improved upon significantly by this method.     

Cross-country fiscal policy spillovers and capital-skill complementarity in integrated capital markets

The 2010 European sovereign debt crisis has renewed discussions on fiscal policy coordination. One rationale for coordination is fiscal policy cross-country spillovers. A common finding in the literature is that spillovers tend to be small in normal circumstances but can be large if monetary policy is at the zero lower bound. Orthogonal to the existing literature, we document a novel channel that generates cross-country spillovers over the medium run. We assume perfect capital markets integration and find that capital-skill complementarity can lead to large spillovers without the zero lower bound nor a large import share in government expenditures. As capital markets have become increasingly integrated in the Eurozone, the current degree of fiscal policy coordination between its members, low, may be insufficient. We also find that the smoothing benefits from a temporary rise in public debt spill over to other countries.     

The performance and robustness of simple monetary policy rules in models of the Canadian economy

Abstract.  In this paper, we evaluate seven simple monetary policy rules in a wide range of models of the Canadian economy. Our results indicate that none of the seven simple policy rules we examined is robust to model uncertainty, in that no single rule performs well in all models. In fact, our results show that the performance of some of the simple rules, particularly rules with interest rate smoothing and rules with a high coefficient on the inflation gap, can substantially deviate from that of the optimal rule and can even be unstable in some models. Furthermore, we find that "open‐economy" rules do not perform well in many models. We find that adding an exchange rate term to a simple policy rule often increases the value of the policy‐maker's loss function. Although it is not robust, we find that a simple nominal Taylor‐type rule that has a coefficient of 2 on the inflation gap and 0.5 on the output gap outperforms the other simple rules in a certain class of models. However, even in those models, the loss‐function value of this simple rule can be substantially higher than that of the optimal or base‐case rule. JEL classification: E52, E58     

The role of financial speculation in the energy future markets: A new time-varying coefficient approach

To study whether speculating behavior plays an important role in oil futures markets, this paper proposes a time-varying coefficient version of the model of Llorente, Michaely, Saar, and Wang (2002) and estimates the effect of the speculating behavior using a sieve maximum likelihood estimation method. Using the time-varying coefficient model and the data of crude oil and heating oil futures markets, we find that neither the speculative motive nor the hedging motive dominates the markets over the whole sample period. However, we find that one of the two motives dominates the markets over some subsample periods. More importantly, speculation dominates in both the crude oil and heating oil futures markets around 2008. These empirical findings support the argument that the speculating behavior significantly affected the sharp rise in the price of crude oil in 2008.     

The expectations hypothesis of the term structure of interest rates and monetary policy: some evidence from Asian countries

This article outlines a panel data approach to modelling the term structure of interest rates in the short and in the long run. We find robust evidence supporting the expectations hypothesis of the term structure (EHTS) for a small sample of Asian emerging markets. Furthermore, we detect some relevant differences in the transmission mechanism of monetary policy, and the existence of a McCallum (2005) rule (no exogeneity of monetary policy to the yield curve) in some countries. Finally, we document the influence of an international global factor (i.e. a time-varying global risk premium) on the yield curve, while local country-specific factors are not statistically significant.     

Herding in Chinese stock markets: a nonparametric approach

The paper reports new evidence of herding in the Chinese A-type and B-type markets by employing nonparametric kernel regression. We find statistically significant evidence of herding in A-type market under both extreme high and low market returns. Herding in B-type market, which predominantly consists of foreign investors, indicates only weak evidence of herding. We do not find any statistically significant evidence of herding in the pre-2001 sample of B-type market, when only foreign investors could do the trading. Lack of knowledge and experience of local investors may be attributed to the presence of herd behaviour in the Chinese markets.     

Parametric versus nonparametric methods in risk scoring: an application to microcredit

The importance of credit access to improve economic opportunities in developing markets is well established in the literature. However, there exists a strong need to mitigate adverse selection problems in microlending. A risk scoring model that more accurately predicts the likelihood of repayment of potential borrowers can help address this market imperfection and to benefit both lenders and borrowers. This paper compares the performance of nonparametric versus semiparametric and traditional parametric risk scoring models based on default probabilities. We show the advantages of relying on less structured, data-driven methods for risk scoring using both simulated data and data from credit loans granted to small and microenterprises in rural Peru. The estimation results indicate that nonparametric methods lead to a better evaluation of credit worthiness and can help prevent including potential “bad” borrowers and excluding “good” borrowers from sensitive microcredit markets.     

Are Islamic stock markets efficient? A time-series analysis

This article investigates the weak-form informational efficient hypothesis for three major Islamic stock markets (world, emerging and developed). Unlike previous studies, we applied different parametric and nonparametric tests to investigate efficiency in the short and long horizons. Using recent data over the period May 2002–June 2012, we developed a time-series analysis of Islamic stock price dynamics in the context of the recent global financial crisis (2008–2009). Our analysis offers two interesting results. First, emerging Islamic stock markets seem to be less efficient than developed Islamic markets, suggesting interesting investment opportunities and diversification benefits from this region in both the short run and the long run. Second, nonrejection of the cointegration hypothesis for developed Islamic markets and the global conventional stock market point to efficiency for the former in the long term, even if it is inefficient in the short term. This finding has at least two economic and political implications: (i) investors who seek moderate risk would do well to opt for Islamic funds in developed countries, particularly as they share the same tendency and provide similar expected returns in the long term as conventional funds, (ii) Islamic financial systems can offer a useful model that can help to reform and remodel conventional financial institutions.     

Labor markets and cultural values: Evidence from Japanese and American views about caregiving immigrants

One overlooked reason for the persistence of distinct cultural values across rich democracies, we argue, is a country's labor market structure. Parents seeking to position their children for long‐term success would do well to instill values consistent with requirements of the labor market in the country where their children are likely to work. To the extent that labor markets are fluid, as in the United States, parents should teach their children to be resourceful and creative. In countries like Japan with relatively rigid labor markets, where workers have one chance to land a long‐term contract with a leading company, parents instead should instill the values of hard work and respect for authority. We find evidence consistent with this argument in survey experiments about attitudes in the United States and Japan about the desirability of employing immigrants for care work, and what values the immigrant care workers should hold. We also find evidence of indirect norm creation. American and Japanese respondents prefer immigrants—not just caregiving immigrants—whose values align with their country's type of valued human capital.     

THE LEAD–LAG RELATION BETWEEN THE S&P500 SPOT AND FUTURES MARKETS: AN INTRADAY-DATA ANALYSIS USING A THRESHOLD REGRESSION MODEL

In this paper we examine the lead–lag interaction between the futures and spot markets of the S&P500 using the threshold regression model on intraday data. The use of threshold variables to model the changes in the regression structure with respect to different market conditions enables us to investigate the lead–lag interaction in a data-based approach and avoid stratifying the data arbitrarily. Using the basis as the threshold variable, we find that the short-selling restrictions in the spot market reduce the effect of the spot index as the leading variable. To study the effect of market-wide information on the interaction between the spot and futures markets, we use the coefficient of determination in the regression of the S&P500 on the Morgan–Stanley Composite Index-US and the Major Market Index as the threshold variable. We find that the lead effect of the futures market over the spot market is stronger when there is more market-wide information. On the other hand, the lead effect of the cash market over the futures market is weaker when there is more market-wide information. In addition, we also use the lagged 45-min return of the spot market as the threshold variable. We find that the lead effect of the spot market is stronger in periods of directionless trading than in periods of good or bad markets.     

Foreign portfolio diversification and risk-sharing

We investigate income smoothing associated with international portfolio diversification by decomposing the net factor income (NFI) channel into interests, dividends and retained earnings, for OECD and EU countries. We find that interest receipts and equity dividend payments contribute significantly to absorb domestic income shocks. Geographically concentrated portfolios and, in particular, biases toward EU markets have a strong negative effect on the degree of risk-sharing.     

Financial globalization and debt maturity in emerging economies

This paper studies how financial globalization affects debt structure in emerging economies. We find that by accessing international markets, firms increase their long-term debt and extend their debt maturity. In contrast, with financial liberalization, long-term debt decreases and the maturity structure shifts to the short term for the average firm. These effects are stronger in economies with less developed domestic financial systems. The evidence is consistent with financial integration having opposite effects on the firms that are able to integrate with world markets and obtain financing globally, relative to the firms that rely on domestic financing only.     

Household characteristics and consumption behaviour: A nonparametric approach

In this paper we apply nonparametric methods in order to discuss some empirical aspects of household consumption behaviour. First, we study the differences in the consumption behaviour between household types. We find that, except for food, there are no clear significant differences. Secondly, we derive the functional form for the food Engel curve, using specification tests consistent in the direction of nonparametric alternatives. Finally, we use this specification to discuss the misleading conclusions that could be reached from a mechanic interpretation of the rejection of Hausman's test, when applied to test the exogeneity of expenditure. The data is obtained from the Spanish Expenditure Survey 1980–81 and 1990–91.     

Inference in expectations models of the term structure: A non-parametric approach

Recent research has examined apparent deviations from the expectations theory of the term structure detectable in regression tests, which may be interpreted as efficiency tests. Efficiency is rejected in many studies. Inference is complicated, however, by the non-normality of regression residuals, invalidating standard parametric test procedures. The present paper examines these rejections using robust diagnostic methods and non-parametric tests. We find some evidence against the expectations theory of the term structure in U.S. data, but not in Canadian. We also investigate the possible explanation of a link between forecast error and the yield spread through models of time-variation in the liquidity premium.     

COMPETITION AND CROWDING OUT IN THE MARKET FOR OUTPATIENT SUBSTANCE ABUSE TREATMENT*

U.S. markets for outpatient substance abuse treatment (OSAT) include for‐profit, nonprofit, and public clinics. We study OSAT provision using new methods on equilibrium market structure in differentiated product markets. This allows us to describe clinics as heterogeneous in their objectives, their responses to exogenous market characteristics, and their responses to one another. Consistent with crowding out of private treatment, we find that markets with public clinics are less likely to have private clinics. In markets with low insurance coverage, low incomes, or high shares of nonwhite addicts, however, public clinics are relatively likely to be the sole willing providers of OSAT.     

Constrained nonparametric regression analysis of load curves

In this paper, we analyze household load curves through the use of Constrained Smoothing Splines. These estimators are natural smoothing splines that allow to incorporate periodic shape constraints. Since the time pattern of electricity demand combines strong periodical regularities with abrupt changes along time, a nonparametric regression estimator that is able to incorporate regularity constrains appears to be very well suited to approach load curves. In the paper we also propose a method to compute the penalty parameters that appear in the constrained smoothing spline estimator, we show some statistical properties and finally we construct confidence intervals. First version received: February 1998/final version accepted: July 1999     

A dynamic Nelson-Siegel yield curve model with Markov switching

This paper proposes a model to better capture persistent regime changes in the interest rates of the US term structure. While the previous literature on this matter proposes that regime changes in the term structure are due to persistent changes in the conditional mean and volatility of interest rates we find that changes in a single parameter that determines the factor loadings of the model better captures regime changes. We show that this model gives superior in-sample forecasting performance as compared to a baseline model and a volatility-switching model. In general, we find compelling evidence that the extracted factors from our term structure models are closely related with various economic variables. Furthermore, we investigate and find evidence that the effects of macroeconomic phenomena such as monetary policy, inflation expectations, and real economic activity differ according to the particular regime realized for the term structure. In particular, we identify the periods where monetary policy appears to have a greater effect on the yield curve, and the periods where inflation expectations seem to have a greater effect in yield determination. We also find convincing evidence of a relationship between the regimes estimated by the various switching models with economic activity and monetary policy.     

Does inflation cause gold market price changes? evidence on the G7 countries from the tests of nonparametric quantile causality in mean and variance

This article utilizes the newly proposed nonparametric causality-in-quantiles test to examine the predictability of mean and variance of changes in gold prices based on inflation for G7 countries. The causality-in-quantiles approach permits us to test for not only causality in mean but also causality in variance. We start our investigation by utilizing tests for nonlinearity. These tests identify nonlinearity, showing that the linear Granger causality tests are subject to misspecification error. Unlike tests of misspecified linear models, our nonparametric causality-in-quantiles tests find causality in mean and variance from inflation to gold market price changes between the 0.20 quantile and the 0.70 quantile, implying that very low- and high-price changes in gold markets are not related to inflation. These changes should be related to other sources, such as financial shocks and exchange market shocks. We find support that gold serves as a hedge against inflation, but only in the mid-quantile ranges, i.e. quantiles from 0.20 to 0.70. Our results show that gold does not serve as a hedge against inflation during periods when gold market price changes are very low or very high, which are respectively quiet and highly volatile periods.     

Did Baltic stock markets offer diversification benefits during the recent financial turmoil? Novel evidence from a nonparametric causality-in-quantiles test

Motivated by financial liberalization investors seek for new investment opportunities through international portfolio diversification. To this end we explore any asymmetric causal relationship between developed European stock markets (Germany, France and UK) and emerging Baltic markets namely; Estonia, Latvia and Lithuania. Our analysis focuses on the period before and after countries’ EU accession and pre- and post the global financial crisis. For this purpose, both the standard parametric test for causality and a novel nonparametric test for causality-in-quantiles are employed. The results of both the parametric and nonparametric Granger causality test support a causal relationship in mean that runs from all of the major markets to the Baltic markets across both samples. The results imply the existence of significant nonlinear return and volatility spillover from European markets to Baltic markets. Policy implications for international investors are also discussed.