Purpose: The main propose of this study is to investigate how exchange rate risk affects the buy-back and revenue-sharing contracts in the global supply chain, hence to improve the performance of global supply chain. Design/methodology/approach: Based on a two-echelon global supply chain, with...

We track firms at birth and compare the growth pattern of IPO firms and their birth-matched counterparts. Firms that are larger at birth with faster initial growth are more likely to attain a larger size later in life and go public. Firms in the top percentile of predicted propensity to go...

We use employer-employee linked data to track the employment histories of team members prior to startup formation for a full cohort of new firms in the U.S. Using pre-startup industry experience to measure skillsets, we find that startups that have founding teams with more diverse collective...

We investigate the effects of team competition on pro-social lending activity on Kiva.org, the first microlending website to match lenders with entrepreneurs in developing countries. Using naturally occurring field data, we find that lenders who join teams contribute 1.2 more loans ($30–$42)...

We propose autocorrelation-robust asymptotic variances of the Brier score and Brier skill score, which are generally applicable in circumstances with weak serial correlation. An empirical application in macroeconomics underscores the importance of taking care of serial correlation. We find that...

We develop a non-linear forecast combination rule based on copulas that incorporate the dynamic interaction between individual predictors. This approach is optimal in the sense that the resulting combined forecast produces the highest discriminatory power as measured by the receiver operating...