Foreign Equity Trading and Average Stock‐return Volatility

We examine whether there is a relationship between foreign equity trading and average total volatility, measured as the value‐weighted average of stock‐return variance in the Istanbul Stock Exchange. We employ foreign equity purchase and sale data to track changes in foreign equity trading, which not only enable us to capture effective foreign investor participation but also to observe the potential asymmetric effects of incoming and outgoing funds on the average total volatility. Consistent with the implications of the asymmetric information hypothesis, we find that net equity flow is positively associated with average total volatility. Furthermore, we show that net equity flow affects the average total volatility through the local and idiosyncratic volatilities, suggesting that foreign investors engage in the production of firm specific and market wide information.     

Housing and the Great Depression

This article considers the structural stability of the relationship between the real housing price and real GDP per capita for an annual sample that includes the Great Depression. We test for structural change in parameter values using a sample of annual US data from 1890 to 1952. The article examines the long-run and short-run dynamic relationships between the real housing price and real GDP per capita to determine whether these relationships experienced structural change over the sample period. We find that temporal Granger causality exists between these two variables only for subsamples that include the Great Depression. For the other subsample periods as well as for the entire sample period, no relationship exists between these variables.     

A causal analysis of the impact of information systems and supply chain management practices on operational performance: Evidence from manufacturing SMEs in Turkey

This study has empirically tested a framework identifying the causal links among supply chain management (SCM) and information systems (IS) practices, SCM–IS related inhibiting factors and operational performance based on a sample of 203 manufacturing SMEs operating in the manufacture of fabricated metal products and general purpose machinery within the greater metropolitan area of Istanbul in Turkey. Moderating effect of SCM and IS related enabling factors on the above mentioned relationships is also investigated in this study. Tests of hypotheses indicate that both SCM and IS practices positively and significantly influence the operational performance of sample firms. The results of the structural model also indicate a strong support for negative relationships between SCM–IS related inhibitors and the implementation levels of both SCM and IS practices. Similarly, a strong support was found for the hypothesized negative relationship between SCM–IS inhibitors and operational performance of SMEs. Finally, we verified the moderating impact of SCM–IS enablers on the link between SCM practices and operational performance. A similar moderating impact was also found with regard to the relationship between IS practices and operational performance.     

The role of news-based uncertainty indices in predicting oil markets: a hybrid nonparametric quantile causality method

A recent strand in the literature emphasizes the role of news-based economic policy uncertainty (EPU) and equity market uncertainty (EMU) as drivers of oil price movements. Against this backdrop, this paper uses a kth-order nonparametric quantile causality test, to analyse whether EPU and EMU predict stock returns and volatility. Based on daily data covering the period of 2 January 1986 to 8 December 2014, we find that, for oil returns, EPU and EMU have strong predictive power over the entire distribution barring regions around the median, but for volatility, the predictability virtually covers the entire distribution, with some exceptions in the tails. In other words, predictability based on measures of uncertainty is asymmetric over the distribution of oil returns and its volatility.     

International stock return predictability: Is the role of U.S. time-varying?

This study investigates the predictability of 11 industrialized stock returns with emphasis on the role of U.S. returns. Using monthly data spanning 1980:2–2014:12, we show that there exist multiple structural breaks and nonlinearities in the data. Therefore, we employ methods that are capable of accounting for these and at the same time date stamping the periods of causal relationship between the U.S. returns and those of the other countries. First we implement a subsample analysis which relies on the set of models, data set and sample range as in Rapach et al. (J Finance LXVIII(4):1633–1662, 2013). Our results show that while the U.S. returns played a strong predictive role based on the OLS pairwise Granger causality predictive regression and news-diffusion models, its role based on the adaptive elastic net model is weak. Second, we implement our preferred model: a bootstrap rolling window approach using our newly updated data on stock returns for each countries, and find that U.S. stock return has significant predictive ability for all the countries at certain sub-periods. Given these results, it would be misleading to rely on results based on constant-parameter linear models that assume that the relationship between the U.S. returns and those of other industrialized countries are permanent, since the relationship is, in fact, time-varying, and holds only at specific periods.     

Impermanent types and permanent reputations

We study the impact of unobservable stochastic replacements for the long-run player in the classical reputation model with a long-run player and a series of short-run players. We provide explicit lower bounds on the Nash equilibrium payoffs of a long-run player, both ex-ante and following any positive probability history. Under general conditions on the convergence rates of the discount factor to one and of the rate of replacement to zero, both bounds converge to the Stackelberg payoff if the type space is sufficiently rich. These limiting conditions hold in particular if the game is played very frequently.     

Strategies can be expensive too! The value spread and asset allocation in global equity markets

Is the value spread useful for forecasting returns on quantitative equity strategies for country selection? To test this, we examine a sample of 120 country-level equity strategies replicated within 72 stock markets for the years 1996–2017. The value spread is a powerful and robust predictor of strategy returns in the cross-section, subsuming other methods based on momentum, reversal, or seasonality. Going long (short) the strategies with the broadest (narrowest) value spread produces significant four-factor model alphas, markedly outperforming an equal-weighted benchmark of all of the strategies. The results are robust to many considerations.     

International comparisons of rural-urban educational attainment: Data and determinants

We study cross-country differences in rural and urban educational attainment by using a data set comprising 56 countries. We focus on the determinants of rural-urban educational inequality, which is measured by the ratio of rural to urban average years of schooling within each country. We find that riskier human capital investment, less credit availability, a colonial heritage, a legal system of French origin and landlockedness of nations are all associated with relatively lower rural educational levels and greater rural-urban educational inequality. Conversely, larger formal labor markets, better infrastructure and a legal system of British origin are associated with relatively higher rural educational levels and lower rural-urban educational inequality. We also identify an interaction effect between economic development level and some of these factors. In particular, we find that as development level increases, the negative (positive) relationship between French (British) legal systems and rural-urban educational inequality is reversed and becomes positive (negative).     

Adoption of High‐Performance Work Systems by Local Subsidiaries of Developed Country and Turkish MNEs and Indigenous Firms in Turkey

High‐performance work systems (HPWSs) are seen as important in helping strengthen competitive strategies of developed‐country multinational enterprises (DC MNEs). Commensurate with global competitive pressures and internationalization strategies, emerging‐country MNEs (EC MNEs) and indigenous firms are also increasingly adopting HPWSs. HPWSs are not only seen as simply performance enhancing systems, but also as facilitators of internationalization. MNEs represent an important test bed for the HPWSs and their applicability in different national contexts. In this article, we contribute to the extant literature by focusing on HPWS adoption level within domestic subsidiaries of DC MNEs and EC MNEs along with stand‐alone indigenous firms in a single‐country setting by keeping the host‐country environment as constant. © 2015 Wiley Periodicals, Inc.