Forecasting the Yield Curve of Government Bonds: A Comparative Study

For the past 20 years, researchers have applied the Kalman filter to the modeling and forecasting the term structure of interest rates. Despite its impressive performance in in-sample fitting yield curves, little research has focused on the out-of-sample forecast of yield curves using the Kalman filter. The goal of this thesis is to develop a unified dynamic model based on Diebold and Li (2006) and Nelson and Siegel’s (1987) three-factor model, and estimate this dynamic model using the Kalman filter. We compare both in-sample and out-of-sample performance of our dynamic methods with various other models in the literature. We find that our dynamic model dominates existing models in medium- and long-horizon yield curve predictions. However, the dynamic model should be used with caution when forecasting short maturity yields

Personal Support Workers' Experience of Collaboration in a Long-Term Care Facility in Rural Ontario

The growing complexity of healthcare needs of residents living in long-term care necessitates a high level of professional interdependence to deliver quality, individualized care. Personal support workers (PSWs) are the most likely to observe, interpret and respond to resident care plans, yet little is known about how they experience collaboration. This study aimed to describe PSWs’ current experiences with collaboration in long-term care and to understand the factors that influenced their involvement in collaboration. A qualitative approach was used to interview eight PSWs from one long-term care facility in rural Ontario. Thematic analysis revealed three themes: valuing PSWs’ contributions, organizational structure, and individual characteristics and relationships. Collaboration was a difficult process for PSWs who felt largely undervalued and excluded. To improve collaboration, management needs to provide opportunities for PSWs to contribute and support the development of relationships required to collaborate.