Are financial spreads useful indicators of future inflation and output growth in EU countries?

This paper seeks to address the policy issue of the usefulness of financial spreads as indicators of future inflation and output growth in the countries of the European Union, placing a particular focus on out-of-sample forecasting performance. Such analysis is of considerable relevance to monetary authorities, given the breakdown of the money/income relation in a number of countries and following increased emphasis of domestic monetary policy on control of inflation following the broadening of the ERM bands. The results confirm that for some countries, financial spread variables do contain some information about future output growth and inflation, with the yield curve and the reverse yield gap performing best. However, the relatively poor out-of-sample forecasting performance and/or parameter instability suggests that the need for caution in using spread variables for forecasting in EU countries. Only a small number of spreads contain information, and improve forecasting in a manner which is stable over time. © 1997 John Wiley & Sons, Ltd.     

Can inflation targeting reduce price information asymmetry and alleviate corruptive behavior? Evidence from developing countries

This paper examines the role of inflation targeting as a price signaling mechanism reducing price information asymmetry and potentially reducing incentives for corruptive actions through its direct control on the inflation rate, thus simultaneously increasing institutional quality. The obtained evidence suggests that adopting inflation targeting lowers corruption in a sample of 61 developing countries for the period between 1990 and 2018. Countries that have adopted inflation targeting experience lower corruption levels, as measured by the corruption perceptions (CP) index, controlling for other relevant determinants of corruption identified in the empirical literature, such as inflation, level of income, income distribution, trade openness and the rule of law. This result is sensitive to the type of inflation targeting adopted. Soft (unofficial) inflation targeting has no significant effect on the corruption level, giving support to the claim that strong institutional commitment, accompanied by transparency and constant communication with regards to inflation targets by the central bank, provides an adequate price signaling mechanism. In addition, the analysis provides evidence that an efficient rule of law reduces corruption levels significantly, although its effects are rather modest to support the claims that it can solely lessen corruptive behavior in the sample of developing countries.     

Monetary policy credibility: A Phillips curve view

The paper investigates the presence of monetary policy credibility in eight countries by filtering the residuals from an “augmented” Phillips curve. Two of the eight countries (US and New Zealand) exhibit robust credibility effects across samples. Two countries (South Africa and the UK) exhibit credibility effects in the sample involving the 1990s, but these effects disappear in the sample beginning in 2000. The rest of the countries do not exhibit monetary policy credibility. Given that seven of the eight countries have adopted an explicit inflation-targeting framework, we conclude that there is very weak evidence that this framework enhances monetary policy credibility. These results are however sensitive to how inflation and the output gap are measured.     

中国输出了“通货紧缩”或“通货膨胀”?

本文首次采用最新发展的有向无环图等技术方法,对中国是否输出通货紧缩以及是否输出通货膨胀这一问题展开综合性、系统性的研究。研究结果表明,在通货膨胀的国际传递中,作为世界第一大经济实体的美国发挥着主导作用,与此同时,无论是在中国通货紧缩时期还是在通货膨胀时期,中国对各主要贸易伙伴国物价水平的冲击均十分微小,因此,中国并非全球通货紧缩或通货膨胀的引发因素。在此研究过程中,最新发展的有向无环图技术等方法的综合运用,在很大程度上增强了本文分析结论的可靠性与合理性。     

The Wage Inflation‐Unemployment Curve at the Macroeconomic Level

Based on the reduced form New Keynesian Wage Phillips Curve, we estimate wage rigidity and indexation at the aggregate level in several advanced countries for the 1985–2014 period. We document that the wage setting process is heterogenous among our sample of countries: nominal wage rigidities are more important in the United States, while wage indexation is dominant in European Countries. We also present evidence that indexation to past inflation has decrease as inflation stabilizes at lower levels. In addition, our results suggest that wage rigidity is not linked to the institutional environment at the macroeconomic level. Finally, we show that there is significant time variation in the estimated coefficients on the implied equation that is usually not taken into account in the theoretical literature.     

Do global output gaps help forecast domestic inflation? Evidence from Phillips curves for Poland

This study confronts domestic and global views on inflation through the use of the Hybrid New Keynesian Phillips Curve (HNKPC) models estimated for headline and core inflation in Poland. We analyse the roles of the global vs. domestic output gaps in affecting price changes. We ensure that our conclusions are robust by taking into consideration various proxies for inflation expectations, imported inflation, the domestic output gap and the global output gap.Our results suggest that the global demand conditions are statistically insignificant in the majority of the estimated global versions of HNKPC, independently of the measure of them that is considered. In terms of empirical fit, and especially of the out-of-sample forecasting accuracy, the specifications of the Phillips curve with the domestic and global output gaps among the explanatory variables are not superior to traditional Phillips curves. Interestingly, the relative importance of the global output gap is much smaller in models that are estimated in terms of core inflation, excluding foodstuffs and energy, than in CPI inflation models. This suggests that global demand conditions affect the inflation in Poland indirectly, mainly through the prices of food and energy raw materials.The main conclusion from our study is that external factors that are already considered in the traditional hybrid versions of the new Keynesian Phillips curve are sufficient to account for global influences on prices in the domestic economy. The concept of the global output gap improves neither the explanatory nor the predictive power of HNKPC models.     

Is there a unit root in the inflation rate? Evidence from sequential break and panel data models

Using sequential trend break and panel data models, we investigate the unit root hypothesis for the inflation rates of thirteen OECD countries. With individual country tests, we find evidence of stationarity in only four of the thirteen countries. The results are more striking with the panel data model. We can strongly reject the unit root hypothesis both for a panel of all thirteen countries and for a number of smaller panels consisting of as few as three countries. The non-rejection of the unit root hypothesis for inflation is very fragile to even a small amount of cross-section variation. © 1997 John Wiley & Sons, Ltd.     

What is the globalisation of inflation?

This paper studies the globalisation of CPI inflation by analysing core, energy and food components, testing for structural breaks in the relationships between domestic inflation and a corresponding country-specific foreign inflation series at the monthly frequency for OECD countries. The iterative methodology employed separates coefficient and variance breaks, while also taking account of outliers. We find that the overall pattern of globalisation in aggregate inflation is largely driven by convergence of the mean levels of the core component from the early 1990s, compatible with the introduction of inflation targeting in many countries of our sample. There is less evidence of increased synchronisation of shortrun movements in core than aggregate inflation, but an increased role for shortrun foreign energy inflation often contributes to the globalisation effect.     

Openness and inflation volatility: Panel data evidence

Trade openness can affect inflation volatility via the incentives faced by policy-makers or the structure of production and consumption, but the sign of this effect, as predicted from economic theory, is ambiguous. This paper provides evidence for a negative effect of openness on inflation volatility using a dynamic panel model that controls for the endogeneity of openness and the effects of both average inflation and the exchange rate regime. Our results offer one explanation for the recent decline in inflation volatility observed in many countries. The relationship is shown to be strongest amongst developing and emerging market economies, and we argue that the mechanisms linking openness and inflation volatility are likely to be strongest amongst this group of countries.     

Does money help predict inflation? An empirical assessment for Central Europe

This paper investigates the predictive ability of money for future inflation in the Czech Republic, Hungary, Poland and Slovakia. We construct monetary indicators similar to those the European Central Bank regularly uses for monetary analysis. We find in-sample evidence that money matters for future inflation at the policy horizons that central banks typically focus on, but our pseudo out-of-sample forecasting exercise shows that money does not in general improve the inflation forecasts vis-à-vis some benchmark models such as the autoregressive process. Since at least some models containing money improve the inflation forecasts in certain periods, we argue that money still serves as a useful cross-check for monetary policy analysis.     

Geopolitical risk and stock market volatility in emerging markets: A GARCH – MIDAS approach

In this study, we examine the connection between geopolitical risk (GPR) and stock market volatility in emerging economies. Our motivation for this study is premised on the need to assess both the predictability and the associated economic gains in relation to the subject in order to offer more useful insights to investors and practitioners. To the best of our knowledge, this is the first study that jointly considers these objectives. Consequently, we employ the GARCH-MIDAS framework which accommodates mixed data frequencies thereby circumventing information loss or any associated bias. We find that emerging stock market volatility responds more positively to geopolitical risks although the act-related GPR index offers better out-of-sample forecasts than the threat-related GPR. We also find that accounting for global economic factors in the predictability analysis is crucial for robust outcomes. Finally, we provide some utility gains of including GPR in the predictive model of stock market volatility while also highlighting some useful implications of our findings for investment and policy decisions.     

Forecasting commodity price indexes using macroeconomic and financial predictors

Using a long sample of commodity spot price indexes over the period 1947–2010, we examine the out-of-sample predictability of commodity prices by means of macroeconomic and financial variables. Commodity currencies are found to have some predictive power at short (monthly and quarterly) forecast horizons, while growth in industrial production and the investment–capital ratio have some predictive power at longer (yearly) horizons. Commodity price predictability is strongest when based on multivariate approaches that account for parameter estimation error. Commodity price predictability varies substantially across economic states, being strongest during economic recessions.     

Forecasting economic and financial variables with global VARs

This paper considers the problem of forecasting economic and financial variables across a large number of countries in the global economy. To this end a global vector autoregressive (GVAR) model, previously estimated by Dees, di Mauro, Pesaran, and Smith (2007) and Dees, Holly, Pesaran, and Smith (2007) over the period 1979Q1–2003Q4, is used to generate out-of-sample forecasts one and four quarters ahead for real output, inflation, real equity prices, exchange rates and interest rates over the period 2004Q1–2005Q4. Forecasts are obtained for 134 variables from 26 regions, which are made up of 33 countries and cover about 90% of the world output. The forecasts are compared to typical benchmarks: univariate autoregressive and random walk models. Building on the forecast combination literature, the effects of model and estimation uncertainty on forecast outcomes are examined by pooling forecasts obtained from different GVAR models estimated over alternative sample periods. Given the size of the modelling problem, and the heterogeneity of the economies considered–industrialised, emerging, and less developed countries–as well as the very real likelihood of possibly multiple structural breaks, averaging forecasts across both models and windows makes a significant difference. Indeed, the double-averaged GVAR forecasts perform better than the benchmark competitors, especially for output, inflation and real equity prices.     

Predictability of tail risks of Canada and the U.S. Over a Century: The role of spillovers and oil tail Risks☆

We examine the tail risk spillovers between Canada and U.S. stock markets using over a century data, and also account for the roles of tail risks of other advanced economies (France, Germany, Japan, Italy, Switzerland, and the UK) and oil-market tail risk. We use the “best” tail risk measure obtained from different variants of the Conditional Autoregressive Value at Risk (CAViaR) model developed by Engle and Manganelli (2004) in the predictive model and compare its performance with that of an AR(1) benchmark model. We find strong evidence of risk spillovers between the two stock markets. We find contrasting evidence for the predictability of oil-market tail risk, with positive predictability in case of the net oil exporter and negative in case of the net oil importer. Further results using tail risks of other advanced economies (combined) support possible diversification potential for Canadian stocks in the presence of market risks of advanced economies other than the U.S. Our findings have implications for investors and are robust to various out-of-sample forecast horizons, alternative data frequencies, data splits, and 1% and 5% VaRs.     

Banks' environmental policy and business outcomes: The role of competition

By integrating the two areas of competition–performance and environment–performance, this research explores if competition matters in the relationship between environmental practices and interest margins in the market. A panel of 458 banks from 74 countries for the period of 2006–2016 is used, and the sample is further divided into developed and developing countries. This paper uses the system Generalized Method of Moments estimator to tackle potential omitted variable bias, endogeneity, and simultaneity issues. Without competition, environmental practices only affect banks in developing countries; however, the results show a significant impact for the full sample, including developed countries, when the competition is taken into consideration, suggesting that competition might play a role in the relationship of environmental practices and interest margins. In the full sample, competition impacts the relationship negatively after a moderate level of competition is reached in the market. The environmental practices in developing countries are prone to competition in the market. In developed countries, the competition is found to be lightly positively moderating the impact of environmental practices on interest margins. Based on these findings, it is recommended that developing countries should have a low or moderate level of competition to encourage environmental practices. For developed countries, however, high competition should be preferred to encourage banks to consider environmental practices as one of their core business strategies. These findings are found robust to different statistical estimators.     

International linkages between short-term real interest rates

Whereas previous studies have focused on the causal relation between nominal interest rates, this paper examines causal relationships between real rates for the United States and six other countries. Based on evidence from our full sample we find that U.S. and foreign interest rates are not highly informative for one another. This would suggest that even if the United States is regarded as a large player in international financial markets this does not necessarily translate into the transmission of U.S. real interest rates to other countries. However, an examination of various sub-periods of our sample reveals that this conclusion may be sensitive to the U.S. monetary policy regime. We also report results for linkages between European countries which indicate that Germany provides some information on real interest rates in France and the United Kingdom, but not in Italy. An analysis of various sub-periods for the European countries show that the result for France is not robust, with German rates having an impact only in the first period through March 1983. This latter evidence does not provide strong support for the hypothesis that Germany's monetary policy plays a dominant role in the European Monetary System. In general, we would argue that domestic factors play a prominent role in determining real interest rates, quite independently from the influence of interest rates from abroad.     

The heterogeneous behaviour of the inflation hedging property of cocoa

In this paper, we examine distinctly the inflation hedging potential of cocoa in net cocoa-exporting and net cocoa-importing countries. The choice of cocoa is motivated by its significance as a key ingredient in the production of chocolate which is largely consumed at every household and therefore serves as a major source of revenue to cocoa investors in exporting and importing countries. Based on our preliminary analyses including panel causality tests, we formulate both panel threshold regression model and panel smooth transition regression model in order to account for any inherent nonlinearity, time-variation and structural breaks in the inflation-cocoa returns nexus. We find that cocoa offers better inflation hedging characteristics in cocoa importing countries than their cocoa exporting counterparts. While the results are robust to alternative frequency and market size, we are able to establish that ignoring the presence of threshold effects may lead to wrong conclusions.     

Forecasting stock prices with commodity prices: New evidence from Feasible Quasi Generalized Least Squares (FQGLS) with non-linearities

The complexities in modern stock markets make it imperative to unravel the possible predictors of their future values. This paper thus provides insights into the predictability of stock prices of the BRICS countries with large dependence on commodities either for foreign exchange earnings or industrial while accounting for the role of asymmetries. Essentially, empirical evidence abound for the high volatility in world commodity markets, thus making us to determine if positive and negative changes in commodity prices predict stock prices differently. In addition, unlike the traditional forecast models, our choice of forecast models additionally addresses certain statistical features, including conditional heteroskedasticity, serial dependence, persistence and endogeneity, inherent in the predictors, which have the potential of causing estimation bias. In all, we find evidence in favour of the ability of commodity prices to predict stock prices of Brazil, Russia and South Africa. Also, both the in-sample and out-of-sample forecast performances of the predicted models support asymmetries in a number of commodity prices in each of these three countries. Our results are robust to different data samples and forecast horizons.     

Forecasting European carbon returns using dimension reduction techniques: Commodity versus financial fundamentals

Using a broad selection of 53 carbon (EUA) related, commodity and financial predictors, we provide a comprehensive assessment of the out-of-sample (OOS) predictability of weekly European carbon futures return. We assess forecast performance using both statistical and economic value metrics over an OOS period spanning from January 2013 to May 2018. Two main types of dimension reduction techniques are employed: (i) shrinkage of coefficient estimates and (ii) factor models. We find that: (1) these dimension reduction techniques can beat the benchmark significantly with positive gains in forecast accuracy, despite very few individual predictors being able to; (2) forecast accuracy is sensitive to the sample period, and only Group-average models and Commodity-predictors tend to beat the benchmark consistently; the Group-average models can improve both the prediction accuracy and stability significantly by averaging the predictions of All-predictors model and the benchmark. Further, to demonstrate the usefulness of forecasts to the end-user, we estimate the certainty equivalent gains (economic value) generated. Almost all dimension reduction techniques do well especially those which apply shrinkage alone. We find including All-predictors and Group-average variable sets achieve the highest economic gains and portfolio performance. Our main results are robust to alternative specifications.     

Economic systems in developing countries – A macro cluster approach

This study is an attempt to close a gap in the comparative capitalism literature. Studies in that field focus mostly on industrialized countries, discuss economic systems in developing regions separately, and do not provide evidence based on a worldwide sample. We use an established macroeconomic cluster approach to identify economic systems in a worldwide sample of 115 developing and industrialized countries. We use an innovative approach to correct for income-related differences that would otherwise distort the cluster results. The major results are (1) that two broad categories of economic systems exist in developing countries (liberal and coordinated), which mirrors the results for industrialized countries, and (2) that economic systems in developing countries are apparently determined by a mixture of colonial heritage—with the transfer of more liberal institutions in the case of British colonialization—and regional affiliation, which explain differences within continents and between continents.