No abstract

This paper examines whether a simple fundamental analysis strategy based on historical accounting information can predict stock returns. Construction and material sector are chosen in this study. Five common stock return predictor used in this study are price earning (PE), return of equity (ROE), debt to equity (DE), earning growth (EG) and price to net tangible asset (P/NTA). The results show that historical accounting signals are able to predict stock return. The mature group firm outperformed new and stable firm in predictive power. The finding reveals that nearly all return predictor have positive correlation with future stock return. Despite the down activity of the market over the sample period chosen, results reveal that fundamental accounting signals of winner portfolio that provide positive future return from a loser one generating a negative return still be able to generate positive return.

This study is conducted to analyse the credibility of the fundamental analysis and technical analysis on predicting the stock return and compare both models to determine which model is more credible to be used as a good trading strategy by investors. The study is based on 80 companies selected from Bursa Malaysia in the food manufacturing industry in the main market from the year of 2012 to 2016. The stock return is used to measure whether both analyses are able to forecast and generate the positive return. Net profit margin, price earnings ratio and total asset turnover are used as fundamental indicators while moving average convergence divergence is used as technical analysis indicators. In order to test the significance of both model on stock return, panel regression models are applied in this study. The result shows that although both model can be used to generate positive return, technical analysis did not outperform fundamental analysis in the food manufacturing industry in Bursa Malaysia.

No abstract

This empirical research involves determination on customers' confidence on hotel's custodian of customers' personal information as Kao et al. (2008) suggests that increase customers' confidence may enhance customers' satisfaction experiential value and may imply revenue potential. Customers demand assurance that their personal data will be safe and secure. A confident and satisfied customer may spread favourable words of mouth about hotel privy image that will eventually bring about positive impact on revenue. Seventy randomly selected respondents were interviewed and distributed with closed structured questionnaire to investigate some chosen antecedents' variables, a determinant construct of customers' confidence and trust. The findings corroborate that customers' personal belief primarily contributes to their high level of confidence on hotel privacy policy. Therefore, in an effort to achieve a potential revenue management, the hoteliers have to be mindful of customers' belief, as a major driver for consumers enhanced confidence.