Global financial crisis and dependence risk analysis of sector portfolios: a vine copula approach

We use regular vine (r-vine), canonical vine (c-vine) and drawable vine (d-vine) copulas to examine the dependence risk characteristics of three 20-stock portfolios from the retail, manufacturing and gold-mining equity sectors of the Australian market in periods before, during and after the 2008–2009 global financial crisis (GFC). Our results indicate that the retail portfolio is less risky than the manufacturing counterpart in the crisis period, while the gold-mining portfolio is less risky than both the retail and manufacturing sector portfolios. Both the retail and gold stocks display a higher propensity to yield positively skewed returns in the crisis periods, contrary to the manufacturing stocks. The r-vine is found to best capture the multivariate dependence structure of the stocks in the retail and gold-mining portfolios, while the d-vine does it for the manufacturing stock portfolio. These findings could be used to develop dependence risk- and investment risk-adjusted strategies for investment, rebalancing and hedging which more adequately account for the downside risk in various market conditions.     

Openness of the economy,terms of trade,and arms

It is estimated that world military spending in 2011 amounted to over 2.5% of the world's Gross Domestic Product (GDP). This corresponds to a spending of $233 per person in the world at 2010 constant prices, an amount close to the GDP per capita of the poorest country in the world. Therefore, it is important for economists to understand the allocation of resources to this sector of the economy. I present a model that explores the determinants of a country's level of military spending. I show how greater gains from trade can lead to greater military expenditures to protect them. It is also found that expansion in the demand for a country's tradable commodities, that is, an improvement in that country's terms of trade, will impact defense spending. Several other propositions emerge from the model which are then empirically tested using both pooled and time series data. The statistical results support the model's propositions.     

Efficiency Determinants and Capacity Issues in Angolan Insurance Companies

This paper describes a variety of approaches used to assess the efficiency of a sample of major insurance companies in Angola between 2003 and 2012. Starting out with the bootstrapping technique, several data envelopment analysis (DEA) estimates were generated, allowing the use of confidence intervals and bias correction in central estimates to test for significant differences in efficiency levels and input‐decreasing/output‐increasing potentials. Previous studies have focused on the measurement and explanation of the factors affecting the performance rather than the prediction. The use of neural networks combined with DEA results as part of an attempt to produce a model for insurance companies’ performance with effective predictive ability is investigated. The findings indicate that older insurance companies with Portuguese origin tend to be more efficient. Results also suggest that opportunities for accommodating future demand appear to be scarce.     

A note on how to measure hubbing practices in airline networks

Benefits and costs associated to hubbing practices of airlines are still subject to much debate. In the previous literature, some standard spatial concentration indices have been proposed to measure it. However, we show that these indices are “ill-defined” because they do not take into account the salient characteristic of hubbing: connecting passengers. The purpose of this research is to present a new methodology which avoids the pitfalls of other methods. Our new methodology also analyzes the level of concentration of the connecting passengers studying two different dimensions: hub airports and routes. Finally, we apply our methodology to some US carriers.     

Economic Recovery in the Age of COVID-19

Economic recovery post-COVID-19 will be structured around answering a number of fundamental questions. It is necessary to take stock of the extent of the recovery and of the transformation our economies have experienced in the last year and a half.

     

The great depression as a global currency crisis: An Argentine perspective

The Review of Austrian Economics - Many of the works that have tried to understand the proximate causes of the Great Depression have emphasized the consequences of maintaining the Gold Standard...     

Does performance explain mutual fund flows in small markets? The case of Portugal

We study the performance reaction of investors in a specific small market context. Our sample includes all Portuguese open-end equity funds that invested in stocks issued by Portuguese companies in the period December 1993–June 2009. Instead of the convex flow–performance relationship usually documented for the US, we find an absence of reaction to past performance. We find no evidence to support the “smart money effect”, given that capital flows do not favour next period performance winners. We also document persistence of fund flows. Our results are consistent with the idea that large financial intermediaries have the capacity “to drive” their customers to funds with larger fees.     

The factor content of regional bilateral trade: The role of technology and demand

The Heckscher–Ohlin–Vanek (HOV) model in its strict form has been strongly rejected by the data. Relaxing some assumptions of the standard HOV model is key to find improvements in its performance. We apply the Davis and Weinstein (2001) methodology to analyse the validity of the HOV model using regions rather than countries. Surprisingly, our results using data for 17 Spanish regions are similar to theirs with international data for OECD countries. Accounting for technological differences improves the predictive capacity of the factor proportions model and including trade costs and geography reduces significantly the missing trade problem. However, relaxing the assumption of factor price equalisation does not improve the performance of the HOV model in a regional setting.     

Equilibrium price formation in markets with differentially informed agents

We consider a pure exchange economy with a finite set of types of agents which have incomplete and asymmetric information on the states of nature. Our aim was to describe the equilibrium price formation and analyze how the lack of information may affect the allocation of resources. To do so, we adapt to an asymmetric information scenario a variant of the Shapley–Shubik game introduced by Dubey and Geanakoplos (J Math Econ 39:391–400, 2003 ).     

DOES SIZE MATTER? THE INFLUENCE OF FIRM SIZE ON WORKING CONDITIONS,JOB SATISFACTION AND QUIT INTENTIONS

Using a detailed survey on Spanish workers, this paper investigates the relationship between firm size and working conditions, the extent to which firm size differences in workers' job satisfaction can be accounted for by differences in their work environment and the impact of firm size on workers' quit intentions. The results indicate that: (1) employees in larger firms face a worse work environment; (2) working in large firms significantly reduces job satisfaction when no controls for working conditions are included, but taking them into account makes differentials across size categories statistically insignificant; and (3) no systematic differences exist in intentions to quit across firm size categories, irrespective of conditioning on wages.