We define defensive factor timing as pro-actively using market signals—measures of aggregate risk tolerance, the effectiveness of diversification, and valuation measures—to reduce exposures to individual factors or a portfolio of factors when outlooks are unattractive. Unlike other market...

We develop a methodology to model factor returns in scenarios which are yet to occur or do not correspond to past market conditions. We infer factor performance conditional on hypothetical market-driven scenarios, which are determined by a parsimonious number of underlying policy shocks. We...

While international humanitarian access in Burma has opened up over the past decade and a half, the ongoing debate regarding the appropriate relationship between politics and humanitarian assistance remains unresolved. This debate has become especially limiting in regards to protection measures...

Online gaming has become prevalent with the rise of the internet availability, where the gaming industry is experiencing a shift in business model in the last decade. The new model of microtransaction is to make players pay for extra content and advantages to compete against other players. In...

A neural network analysis was conducted on a quantitative occupational safety and health management system (OSHMS) audit with accident data obtained from the Singapore construction industry. The analysis is meant to investigate, through a case study, how neural network methodology can be used to...