Commodity and equity markets: Some stylized facts from a copula approach

In this paper, we propose to identify the dependence structure that exists between returns on equity and commodity futures and its development over the past 20 years. The key point is that we do not impose any dependence structure, but let the data select it. To do so, we model the dependence between commodity (metal, agriculture and energy) and stock markets using a flexible approach that allows us to investigate whether the co-movement is: (i) symmetrical and frequent, (ii) (a) symmetrical and mostly present during extreme events and (iii) asymmetrical and mostly present during extreme events. We also allow for this dependence to be time-varying from January 1990 to February 2012. Our analysis uncovers three major stylised facts. First, we find that the dependence between commodity and stock markets is time-varying, symmetrical and occurs most of the time (as opposed to mostly during extreme events). Second, not allowing for time-varying parameters in the dependence distribution generates a bias towards an evidence of tail dependence. Similarly, considering only tail dependence may lead to false evidence of asymmetry. Third, a growing co-movement between industrial metals and equity markets is identified as early as 2003; this co-movement spreads to all commodity classes and becomes unambiguously stronger with the global financial crisis after Fall 2008.     

The cross-sectional relation between conditional heteroskedasticity,the implied volatility smile,and the variance risk premium

This paper estimates how the shape of the implied volatility smile and the size of the variance risk premium relate to parameters of GARCH-type time-series models measuring how conditional volatility responds to return shocks. Markets in which return shocks lead to large increases in conditional volatility tend to have larger variance risk premia than markets in which the impact on conditional volatility is slight. Markets in which negative (positive) return shocks lead to larger increases in future volatility than positive (negative) return shocks tend to have downward (upward) sloping implied volatility smiles. Also, differences in how volatility responds to return shocks as measured by GARCH-type models explain much, but not all, of the variations in excess kurtosis and multi-period skewness across different markets.     

The effect of US holidays on the European markets: when the cat’s away…

This paper presents evidence of the existence of a return effect on European stock markets coinciding with New York Stock Exchange (NYSE) holidays, which is particularly marked after positive closing returns on the NYSE the previous day. The effect is large enough to be exploited by trading index futures. This anomaly cannot be explained by seasonal effects, such as the day of the week effect, the January effect or the pre‐holiday effect, nor is it consistent with behavioural finance models that predict positive correlation between trading volume and returns. However, examination of factors such as information volume or investor mix provides a reasonable explanation.     

The effect of WTO on the extensive and the intensive margins of trade

We use 6-digit bilateral trade data to document the effect of WTO/GATT membership on the extensive and intensive product margins of trade. We construct gravity equations for the two product margins motivated by Chaney (2008). The empirical results show that standard gravity variables provide good explanatory power for bilateral trade on both margins. Importantly, we show that the impact of the WTO is concentrated almost exclusively on the extensive product margin of trade, i.e. trade in goods that were not previously traded. In our preferred specification, WTO membership increases the extensive margin of exports by 25%. At the same time, WTO membership has a negative impact on the intensive margin. Based on novel comparative statics results about how fixed and variable trade costs impact the product margins of trade, our results suggest that WTO membership works by reducing primarily the fixed rather than the variable costs of trade.     

Product and process productivity: Implications for quality choice and conditional exporter premia

We develop a model of international trade with two dimensions of firm heterogeneity. The first dimension is “process productivity”, which is how we denote the standard concept of productivity as modeled in the literature. The second one is “product productivity”, defined as firms' ability to develop high-quality products spending small fixed outlays. The distinction between these two sources of productivity, together with the assumption that iceberg trade costs decrease with quality, delivers various conditional exporter premia as theoretical predictions. Conditional on size, exporters sell higher quality products, charge higher prices, pay higher input prices and higher wages, and use capital more intensively. Some of these predictions had already been documented in the empirical literature but lacked a theoretical framework for properly interpreting them. We conduct systematic tests of these predictions using manufacturing establishment data for India, the U.S., Chile, and Colombia, and find strong support for the model.     

Which farmers benefit the most from Bt corn adoption? Estimating heterogeneity effects in the Philippines

The potential contributions of new biotechnologies to sustainable food and income security have been the subject of widespread discussions around the turn of the 21st century. But distributional issues of which segments of adopters of genetically modified (GM) crops benefit the most have not been given ample attention). Using propensity scores, we apply the (a) stratification‐multilevel method of estimating heterogeneous treatment effects; and the (b) matching‐smoothing method of estimating heterogeneous treatment effects proposed by Xie et al. We find that the incidence of higher yields, lower insecticide use, and reduced seed utilization in the Philippines diminishes progressively as a farmer's propensity to adopt Bt corn increases. Farmers with a low propensity to adopt Bt are those who farm smaller, nonirrigated farms located farther from seed suppliers and farmers without previous training on pest identification. In most cases, while these farmers are typically poorer farmers in smaller parcels, cannot afford irrigation and are situated in remote areas away from easily accessible seed suppliers, there is no evidence, however, that profits differ across farmers with varying propensities to adopt the Bt variety.     

Agriculture and small towns in Africa

Africa is urbanizing rapidly. Yet most dual economy models focus on the sectoral rather than spatial dimensions of development. This article adopts a “dual–dual” approach to measuring rural/urban and farm/nonfarm linkages. We develop an economy‐wide model of Ethiopia that distinguishes between cities, towns, and rural areas. The model captures detailed sectoral and regional linkages, internal migration flows, and externalities from urban agglomeration. We find larger linkages between agricultural production and small towns and show that redirecting urban growth toward towns rather than cities leads to broader‐based economic growth and poverty reduction. In contrast, industry and services, particularly within cities, are far less effective in reaching rural areas and the poor. Africa's current urbanization pattern—toward major cities rather than towns—will weaken national growth–poverty linkages. Urbanization that takes advantage of the synergistic relationship between agriculture and small towns has the potential to result in a more inclusive growth trajectory.     

Swedish economic growth and education since 1800

Abstract.  The contribution of this paper is twofold. First, it builds and makes use of long-run data from Sweden on formal education that have never been used to date. Second, it provides a quantitative application of recent theoretical work on the link between demographic changes and economic growth through their effect on education. It concludes that changes in longevity may account for as much as 20% of the observed rise in education over the period from 1800–2000 via a horizon effect, but have little impact on income growth over the period. On the contrary, changes in population density and composition are central, mainly thanks to their effect on productivity. Most income growth over this period would not have materialized if demographic variables had stayed constant since 1800.