The present paper examines the relationship between Corporate Social Performance (CSP) and Corporate Financial Performance (CFP), using both accounting-based (Return on Assets and Return on Capital) and market-based (Excess Stock Returns) performance indicators. We use Bloomberg's Environmental Social Governance (ESG) Disclosure score covering the S&P500 firms in the period 2007-2011 which allows for the examination of both linear and nonlinear relationships to be considered. The results of the linear model suggest that there is a significant negative relationship between CSP and Return on Capital. However, the non linear models provide evidence of a U-shaped relationship between CSP and the accountingbased measures of CFP, suggesting that in the longer run CSP effects are positive. Most prominent among our results is that fact that by disentangling the ESG Disclosure score into its environmental, social and governance sub-components, we find that a U-shaped relationship exists only between the governance sub-component and CFP. A straightforward implication of our findings suggests that in order for CSR to serve the interests of the shareholders, a long-run planning and considerable resources should be dedicated at this direction, given that CSR expenditure pays off only after a threshold of CSP has been reached. Furthermore, the fact that governance is the key driver affecting the CSP-CFP relationship suggests that CSR investments should be directed to this component.

The paper investigates the time-varying correlation between stock market prices and oil prices for oil-importing and oil-exporting countries. A DCC-GARCH-GJR approach is

In this paper we examine the extent of time-varying correlations among stock markets returns, stock market implied volatility and policy uncertainty based on a newly introduced uncertainty index by Baker et al. (2012). We find that the dynamic correlations of policy uncertainty and stock market returns are consistently negative, apart from the period during the latest global financial crisis, wherein correlations became positive. Furthermore, an increase in the volatility of the stock market and the policy uncertainty dampens stock market returns, while it increases policy uncertainty. Finally, aggregate demand oil price shocks and US recessions significantly affect the correlation between policy uncertainty and stock market returns.

This study examines the dynamic relationship between changes in oil prices and the economic policy uncertainty index for a sample of both net oil-exporting and net oil-importing countries over the period 1997:01-2013:06. To achieve that, an extension of the Yilmaz (2009, 2012) dynamic spillover index based on structural decomposition is employed. The results reveal that economic policy uncertainty (oil price shocks) responds negatively to aggregate demand oil price shocks (economic policy uncertainty shocks). Furthermore, during the Great Recession of 2007-2009, total spillovers increase considerably, reaching unprecedented heights. Moreover, in net terms, economic policy uncertainty becomes the dominant transmitter of shocks between 1997 and 2009, while in the post-2009 period there is a significant role for supply-side and oil specific demand shocks, as net transmitters of spillover effects. These results are important for policy makers, as well as, investors interested in the oil market.

In this study, we examine the dynamic relationship between tourism growth and economic growth, using a newly introduced spillover index approach. Based on monthly data for 10 European countries over the period 1995-2012, our analysis reveals the following empirical regularities. First, the tourism-economic growth relationship is not stable over time in terms of both magnitude and direction, indicating that the tourism-led economic growth (TLEG) and the economic-driven tourism growth (EDTG) hypotheses are time-dependent. Second, the aforementioned relationship is also highly economic event-dependent, as it is influenced by the Great Recession of 2007 and the ongoing Eurozone debt crisis that began in 2010. Finally, the impact of these economic events is more pronounced in Cyprus, Greece, Portugal and Spain, which are the European countries that have witnessed the greatest economic downturn since 2009. Plausible explanations of these results are provided and policy implications are drawn.

In this study we examine the dynamic interrelationship in the output-energyenvironment nexus by applying panel vector autoregression (PVAR) and impulse response function analyses to data on energy consumption (and its subcomponents), carbon dioxide emissions and real GDP in 106 countries classified by different income groups over the period 1971-2011. Our results reveal that the effects of the various types of energy consumption on economic growth and emissions are heterogeneous on the various groups of countries. Moreover, causality between total economic growth and energy consumption is bidirectional, thus making a case for the feedback hypothesis. However, we cannot report any statistically significant evidence that renewable energy consumption, in particular, is conducive to economic growth, a fact that weakens the argument that renewable energy consumption is able to promote growth in a more efficient and environmentally sustainable way. Finally, in analysing the case for an inverted U-shaped EKC, we find that the continued process of growth aggravates the greenhouse gas emissions phenomenon. In this regard, we cannot provide any evidence that developed countries may actually grow-out of environmental pollution. In the light of these findings, the efficacy of recent government policies in various countries to promote renewable energy consumption as a means for sustainable growth is questioned. Put differently, there seems to be a moral dilemma, between high economic growth rates and unsustainable environment and low or zero economic growth and environmental sustainability.

We investigate spillover effects from sentiment and mood shocks on US outbound tourism demand from 1996 until 2013. We use the Index of Consumer Sentiment and Economic Policy Uncertainty Index as proxies for sentiment and the S&P500 as a proxy for mood. We find a moderate to high interrelationship among sentiment, mood and outbound tourism demand. More importantly, sentiment and mood indicators are net transmitters of spillover shocks to outbound tourism demand. The magnitude of spillover effects sourced by sentiment and mood is time-varying and depends on certain socio-economic and environmental events. Our results have important implications for policymakers and travel agents in their efforts to predict tourism arrivals from key origin countries and to plan their tourism strategy.

Motivated from Ross (1989) who maintains that asset volatilities are synonymous to the information flow, we claim that cross-market volatility transmission effects are synonymous to cross-market information flows or "information channels" from one market to another. Based on this assertion we assess whether cross-market volatility flows contain important information that can improve the accuracy of oil price realized volatility forecasting. We concentrate on realized volatilities derived from the intra-day prices of the Brent crude oil and four different asset classes (Stocks, Forex, Commodities and Macro), which represent the different "information channels" by which oil price volatility is impacted from. We employ a HAR framework and estimate forecasts for 1-day to 66-days ahead. Our findings provide strong evidence that the use of the different "information channels" enhances the predictive accuracy of oil price realized volatility at all forecasting horizons. Numerous forecasting evaluation tests and alternative model specifications confirm the robustness of our results.