The purpose of this paper is to provide an analytical analysis of cointegration between Europe and the other significant trading partners, namely US, China, Japan and Australia, for the period from January 1, 2010 to December 30, 2016. This captures the impact of the sovereign European debt crisis and the Greek crisis. A range of parametric techniques were adopted including Johansen cointegration analysis, Vector Error Correction Model and Granger causality. The results of the crisis Granger causality test during the European sovereign crisis implies the highest influence to be that of the US and Japanese stock market over the other four markets. Overall, found that the Asia-Pacific region plus the US stay closely related to each other, while European countries influence all the studied markets except each other. For the post-crisis sub-period, the Granger causality is slightly different. It is observable that the UK and Germany are influencing all the markets. This is probably due to the recent Brexit referendum outcome and potential consequences not only for the EU, but also for the rest of the world too. Overall, the Granger outcome shows the dependence between Europe and other global markets, but there is no European interdependence during the sovereign debt crisis period. It may be concluded that there is a separation of Asian markets from the European markets and even though cointegration exists, the relationship is rather weak.

In Australia, there are over 20,000 financial advisers, with only 1% registered as independent financial advisers. This study investigates why there has been no significant transition to independent advising. The importance of the study is underlined by the substantial losses suffered by thousands of consumers from advice that has been found to be influenced by conflicts of interest. Using a qualitative technique, the study undertook exploratory semi-structured interviews among financial advisers. The study found that over 90% of privately owned advisers will not be transitioning to independent advising due to the belief that clients will not pay fees for insurance advice. The study finds strong evidence that the affordability of paying fees for insurance advice arguably outweighs the conflicts of interest associated with non-independent insurance advice.

Forecasting casino hotel stock prices are strategically important to key stakeholders making investment decisions. However, there is a paucity of studies that have examined the impact of macro-economic variables, sector-specific variables and firm-specific variables on casino stock returns. This research fills a research gap by examining the predictability of Australian casino hotel stock returns. The forecasting of casino hotel stock prices was modelled using econometric panel predictive regression analysis through the efficacy of 26 predictors comprising macroeconomic variables, sector-specific variables, and firm-specific variables as predictors. All eight casinos listed on the Australia Stock Exchange (ASX) were included in our sample. Our econometric panel predictive regression model found macro-economic variables with the strongest return predictability relative to the sector-specific and firm-specific variables. Our study contributes to the theoretical advancement of forecasting methodology through panel predictive regression modelling by addressing the endogeneity, persistency and heteroskedasticity of stock predictors by considering a large set of macro-economic variables, sector-specific and firm-specific variables as predictors to develop an econometric framework that suits the features of hotel financial data. <!----> <!----> <!----> <!---->

Over the past decades, the hospitality and tourism industry, particularly casinos, has experienced a notable growth in customer demand, facing intense competition from both local and international ...