Support groups and cardiac rehabilitation: Effects of partner participation on anxiety and depression

This study analyzes the effect on levels of patient anxiety and depression of a partner joining a cardiac rehabilitation program support group, also taking into account the sex of the patient. The study was undertaken using a two-group comparison design with pre-and post-test measures in non-equivalent groups. The sample comprised patients in the cardiac rehabilitation program (CRP) at the Ramón y Cajal Hospital, Madrid (Spain). Analysis of covariance (ANCOVA) showed direct effects of sex and partner participation in support groups on the anxiety trait. Similarly, interaction effects were observed between the sex variable and partner participation. These results indicate the pertinence of designing separate groups for patients and partners. © 2014 Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid.

Characteristics of entrepreneurs and public support for NTBFs

This paper studies the role of the characteristics of entrepreneurs as determinants of public financial support for New Technology Based Firms (NTBFs). Using a single database about the profile of Spanish technology entrepreneurs from 2001 to 2009, we analyze the relationship between NTBF participation in the NEOTEC program run by the main Spanish public agency for R&D and four dimensions of the entrepreneurial team: its human capital, its links to the public system of R&D, its motivation at the time the company was created and the extent of its planning to initiate the business activity. Our results show that NTBFs founded by entrepreneurs who have less experience in management, have planned less, are more oriented toward growth and have closer ties to the public system of R&D are more likely to participate in the public aid program.

An econometric analysis of ETF and ETF futures in financial and energy markets using generated regressors

It is well known that that there is an intrinsic link between the financial and energy sectors, which can be analyzed through their spillover effects, which are measures of how the shocks to returns in different assets affect each other’s subsequent volatility in both spot and futures markets. Financial derivatives, which are not only highly representative of the underlying indices but can also be traded on both the spot and futures markets, include Exchange Traded Funds (ETFs), which is a tradable spot index whose aim is to replicate the return of an underlying benchmark index. When ETF futures are not available to examine spillover effects, “generated regressors” may be used to construct both Financial ETF futures and Energy ETF futures. The purpose of the paper is to investigate the covolatility spillovers within and across the US energy and financial sectors in both spot and futures markets, by using “generated regressors” and a multivariate conditional volatility model, namely Diagonal BEKK. The daily data used are from 1998/12/23 to 2016/4/22. The data set is analyzed in its entirety, and also subdivided into three subset time periods. The empirical results show there is a significant relationship between the Financial ETF and Energy ETF in the spot and futures markets. Therefore, financial and energy ETFs are suitable for constructing a financial portfolio from an optimal risk management perspective, and also for dynamic hedging purposes.