Dependence between the global gold market and emerging stock markets (E7+1): Evidence from Granger causality using quantile and quantile‐on‐quantile regression methods

This study examined the dependence between gold and stocks during 2002–18 in seven emerging countries. The study combined the bivariate cross‐quantilogram introduced recently with quantile‐on‐quantile regression (QQR) approaches to conduct comprehensive and complementary analyses. The QQR results for the full sample revealed a weak positive dependence in all the quantiles of gold and stock returns across all the countries selected during mild market conditions. The results for pre and post‐crisis periods largely were consistent with those obtained for the full sample, except for Turkey (pre‐crisis), and China and Indonesia (post‐crisis). The results of the causality test‐in‐mean (return) and that of the causality test‐in‐variance revealed no causal relation between stock and gold in the pre‐crisis period, while causality ran only from gold to some stocks in the post‐crisis period. Further, while there was volatility causality running only from gold to stocks during the pre‐crisis period, the volatility causality between the two markets was very high during the post‐crisis period. Therefore, we suggest that gold may have been a hedge for stocks during the pre‐crisis compared to the post‐crisis period. Further, international risk factors should be considered in optimal investment decisions between domestic and global markets' assets (stocks and gold).     

Dual Labor Markets and Trade Reform in China

This paper specifically models rigidities in the labor market in China and analyzes the effect of labor market liberalization on economic growth using a computable general equilibrium (CGE) model. Our results indicate that labor market reforms are essential to the realization of significant gains from China's accession in November 2001 to the World Trade Organization (WTO). In the absence of labor market reform, the gains to accession to the WTO are estimated to be minimal.     

BUSINESS CYCLES AND STOCK MARKET RETURNS: EVIDENCE USING INDUSTRY-BASED PORTFOLIOS

Much evidence has emerged recently that suggests stock returns are predictable. In representative agent consumption-based asset pricing models, asset returns are related to aggregate output and consumption through changes in the intertemporal marginal rate of substitution. An alternative view is that the amount of variation required in the intertemporal marginal rate of substitution is too large to be rationally explained. We shed further light on this debate by investigating whether the stock returns of certain sectors of the economy can predict future market returns even after controlling for the information contained in the aggregate market index. In the consumption-based models, aggregate output and consumption affect the discount rates of all assets synchronously; no particular sectoral return should have any more predictive ability than the others. We find evidence that the stock returns of five industry-based portfolios have significant information about future market returns that is not in the market index. This stylized empirical result is not consonant with existing models relating output to stock returns.     

Asymptotic efficiencies of spacings tests for goodness of fit

Tests based on higher-order orm-step spacings have been considered in the literature for the goodness of fit problem. This paper studies the asymptotic distribution theory for such tests based on non-overlappingm-step spacings whenm, the length of the step, also increases with the sample sizen, to inifinity. By utilizing the asymptotic distributions under a sequence of close alternatives and studying their relative efficiencies, we try to answer a central question about the choice ofm in relation ton. Efficiency comparisons are made with tests based on overlappingm-step spacings, as well as corresponding chi-square tests.     

Unemployment persistence in EU countries: new evidence using bounded unit root tests

We apply a series of bounded unit root tests to revisit the unemployment persistence in eight European Union (EU) countries. We find strong evidence in favour of the hysteresis hypothesis in all the cases. This result can be explained by a reduced labour mobility, a decreasing wage inflation and a high uncertainty regarding the future level of unemployment in the EU countries.     

Oil price–inflation pass-through in Romania during the inflation targeting regime

In the wake of the inflation-targeting strategy in Romania, we estimate the impact of international oil prices upon the consumer price index (CPI) and core inflation. The inflation target was systematically missed by the monetary authorities who explain this failure by exogenous factors. Using a frequency domain framework, we show that the oil price–inflation pass-through can be observed only for those components of inflation which include volatile prices and only in the medium run. Our results put forward that the constant missing of the target cannot be explained by the oil price–inflation pass-through and the credibility of the strategy is put into question.     

On the Portfolio Properties of Real Estate in Good Times and Bad Times1

Motivated by the theoretical results on strategic asset allocation, we examine the gains in portfolio performance when investors diversify into different asset classes, with particular focus on the timeliness of such gains. Although the various asset classes we analyze yield significant gains in portfolio performance, even in the presence of short‐sales constraints, the timeliness of the gains differs considerably across the asset classes. Our key result is that real estate and commodities and precious metals are the two asset classes that deliver portfolio gains when consumption growth is low and/or volatile, that is, when investors really care for such benefits. Our analysis highlights an important metric by which to judge the attractiveness of an asset class in a portfolio context, namely the timeliness of the gains in portfolio performance. Further, our results on the performance of real estate in both good times and bad times suggest that the typical institutional allocation to real estate may underweight the role of the asset class in a diversified portfolio context.     

Brownfield risk communication and evaluation

Brownfield development is a risky business requiring specific knowledge and sensible judgement in order to create valuable real estate capital. This paper approaches brownfield risk in a multi-criterion, multi-actor interactive framework, taking into account the risks perceived and communicated by key actors. The paper begins with the development of a generic risk evaluation model using the analytical hierarchical process; this is followed by a primary purposive survey of experts’ stated-preference for weighting, ranking and scoring of risk factors developed earlier by the authors. The risk evaluation leads to a consistent hierarchy of risk factors influence brownfield decisions in the Melbourne context. Results indicate that site specific and project risks are the most important in brownfield development decision-making. Financial and market and planning risks are moderately important. Political and legal and socio-economic risks are relatively less important. The findings also indicate some inter sub-group variation in the relative importance of the risk factors. Developers rate financial and market and site specific risks most highly. Least of the developers’ concern is the socio-economic risk. Planners and consultants rate site specific and project risks highly. The AHP-based risk evaluation model is a new addition to the literature, and the findings may help improve explicit evaluation and communication in brownfield project financial decision and value reporting.