DONATION DECISIONS: THE ROLES OF FINANCIAL AND EMOTIONAL INFORMATION

This paper investigates the impact of personal affinity toward a charity and information regarding financial management of potential recipient charitable organizations on decisions to donate. Using an experiment, the study examines how personal donation decisions differ from corporate donation decisions made by managers and how the emotional intelligence of donors affects donation decisions. The results indicate that threshold and financial information on charities assembled by the Better Business Bureau, a charity rating agency, made a significant impact on corporate donation decisions. The study also shows that emotional intelligence plays an important role that aids both individual donors and managers to regulate their donation decisions.

The information content of Canadian implied volatility indexes

For predicting future volatility, empirical studies find mixed results regarding two issues: (1) whether model free implied volatility has more information content than Black-Scholes model-based implied volatility; (2) whether implied volatility outperforms historical volatilities. In this thesis, we address these two issues using the Canadian financial data. First, we examine the information content and forecasting power between VIXC - a model free implied volatility, and MVX - a model-based implied volatility. The GARCH in-sample test indicates that VIXC subsumes all information that is reflected in MVX. The out-of-sample examination indicates that VIXC is superior to MVX for predicting the next 1-, 5-, 10-, and 22-trading days' realized volatility. Second, we investigate the predictive power between VIXC and alternative volatility forecasts derived from historical index prices. We find that for time horizons lesser than 10-trading days, VIXC provides more accurate forecasts. However, for longer time horizons, the historical volatilities, particularly the random walk, provide better forecasts. We conclude that VIXC cannot incorporate all information contained in historical index prices for predicting future volatility.