VIX futures term structure and the expectations hypothesis

Tests of the expectations hypothesis reveal that the slope of the VIX futures term structure predicts the direction but not the magnitude of the evolution of the short-end of the curve, but predicts neither the direction nor the magnitude of short-term changes in the long-end of the curve. Relative value seeking spread trades, constructed to exploit such violations, deliver excess returns with annualized Sharpe ratios equal or greater than those of volatility-writing strategies deployed by VIX ETN's for a majority of the 32 spread trade combinations tested. I demonstrate that profits from beta-neutral variations of the spread trades, which are not compensation for taking on equity downside risk by design, are propagated by inflows of capital into VIX futures markets, after controlling for factors that measure changes in the availability of hedge fund capital, risk appetite, and momentum. At the heart of profits, and by extension the term structure anomalies, is a disproportionally elevated basis propagated by long VIX demand that enters the futures market through ETN channels.     

Housing and Health

Deprived housing is recognized as a source of poor health, but there is still little evidence of a causal relationship between housing and health. While existing literature identifies neighborhood effects and the individual dwelling as factors which affect health, it does not offer a joint examination of these factors. Moreover, endogeneity is a concern in analyses of both problems. Thus far, studies addressing endogeneity have done so through experimental design or instrumental variables. The first approach suffers from problems of external validity and the latter from the lack of reliable instruments. We therefore adopt an alternative strategy which considers both sources of endogeneity in order to identify the effects of housing on health by estimating fixed‐effect models. We reveal how housing problems affect health depending on living conditions and socioeconomic status. Our results therefore indicate that living in poor housing is an important short‐term socioeconomic determinant that directly affects health.     

Sorting it out: pile sorting as a mixed methodology for exploring barriers to cancer screening

We discuss a mixed methodology for analyzing pile sorting data. We created a list of 14 barriers to colon cancer screening and recruited 18, 13, and 14 participants from three American Indian (AI) communities to perform pile sorting. Quantitative data were analyzed by cluster analysis and multidimensional scaling. Differences across sites were compared using permutation bootstrapping. Qualitative data collected during sorting were compiled by AI staff members who determined names for the clusters found in quantitative analysis. Results showed five clusters of barriers in each site although barriers in the clusters varied slightly across sites. Simulation demonstrated type I error rates around the nominal 0.05 level whereas power depended on the numbers of clusters, and between and within cluster variability.     

From Financial Repression to External Distress: The Case of Venezuela

Recent work suggests a connection between domestic debt and external default. We examine potential linkages for Venezuela, where the evidence reveals a nexus among domestic debt, financial repression, and external vulnerability. The financial repression tax (as a share of GDP) is similar to OECD economies, in spite of higher debt ratios in the latter. The financial repression “tax rate” is higher in years of exchange controls and legislated interest rate ceilings. We document a link between domestic disequilibrium and a weakening of the net foreign asset position via private capital flight. We suggest these findings are not unique to Venezuela.     

Managing Competing Institutional Logics in Public–Private Joint Ventures

Abstract

Cross-sector inter-organizational partnerships, alliances and networks have become extremely popular. Yet, we may expect competing societal-level institutional logics to play an important role in cross-sector alliances, hence making their management central to alliance success. This article responds to the general research question: How do participants of public–private joint ventures manage competing institutional logics? Based on in-depth interviews we empirically characterize two competing logics in a cross-sector collaborative and identify two practices used to cope with them.     

Modelling user perception of bus transit quality

This article evaluates how bus users perceive the quality of their public transport service. In particular it looks at how perception of quality varies according to the available information. The experiment compares an overall evaluation of service quality before and after making passengers reflect on the importance of certain fundamental system variables which they may not have previously considered.Focus groups were used to individualise the most relevant variables. A quality survey was carried out both on-board buses and at bus stops and the overall service quality was related to the aforementioned variables using ordered probit models. The perception of quality is shown to change with the category of user and that there tends to be more criticism towards variations in overall quality until the users are stimulated into thinking more deeply about other influential variables. The application of this methodology may provide operating companies with valuable information for planning marketing policies aimed at different categories of user, in order to improve the service quality and attract more passengers to using public transport.     

Do stable strategic time periods exist? Towards new methodological and theoretical insights

This paper investigates a fundamental issue in the current research on strategic groups: the existence or non‐existence of the so‐called ‘stable strategic time periods’ (SSTPs). Our study provides new evidence by adding new methodological and theoretical insights. The research setting is the Spanish banking industry over a 15‐year period, 1983–1997. Unlike all prior longitudinal research that found SSTPs, the multi‐method procedure that we used in this study (i.e. equality of variance and covariance matrix and mean vector of strategic variables and a subsequent grouping analysis performed through the MCLUST) has led us to reject the existence of SSTPs in the industry under study. Based on these original findings, we conclude by suggesting a proposition which should be corroborated in future empirical studies on strategic groups. Copyright © 2007 John Wiley & Sons, Ltd.     

Sectoral and aggregate technology growth in Spain

In this paper we analyze technological change in the Spanish economy by constructing adjusted Solow residuals, where the adjustment attempts to correct for the bias associated with the potential presence of imperfect competition, increasing returns, variable input utilization and, especially, sectoral reallocation of inputs across sectors. We refer to this modified Solow residual as a technology index. Sectoral reallocations and variable input utilization are key determinants of the differences between the aggregate Solow residual and the technology index resulting from the aggregation of estimated sectoral technological growth. We show that starting in the mid nineties, there has been a deceleration in the aggregate growth rate of technology which is basically due to the behaviour of the manufacturing sectors. Finally, our results imply that aggregate technology growth is less volatile than aggregate productivity as measured by the Solow residual.     

Gender segregation and earnings differences in the Spanish labour market

This article analyses the effects of different types of gender segregation on the gender wage differential for the Spanish labour market. Matched employer–employee data from a sample of 226,535 workers are used. These workers are employed in 61 occupations within 26,492 establishments in 51 different industries. Workers belonging to the same industry, establishment or job share common factors which cannot be observed and these factors affect wages. If these unobservable variables are correlated with the explanatory variables, their estimated effects will be biased. For this reason, we estimate the effects of each type of gender segregation on the wage gap using a robust specification to these possible correlations. We obtain that industrial segregation by gender explains a lower part of the wage gap between men and women than previous researches found using standard regressions, while the contributions of establishment segregation and occupational segregation within each establishment are greater.