Predicting long-term equity market returns is of great importance for investors to strategically allocate their assets. We apply machine learning methods to forecast 10-year-ahead U.S. stock returns and compare the results to traditional Shiller regression-based forecasts more commonly used in...

Our paper contributes to the common ownership debate by empirically assessing the link between common ownership and profitability as a proxy for market competition. Rather than focusing on single industries, as most related studies do, we assess the common ownership hypothesis in the aggregate,...

We propose a model where customers are classified into two groups: short lead-time customers who require the product immediately and long lead-time customers to whom the supplier may deliver either immediately or in the next cycle. Unmet orders are backlogged with associated costs. Specifically,...

This book develops a modeling framework to analyze the problem of inventory management with alternative delivery times. The general context considered here is that a seller replenishes its inventory in fixed intervals and, between replenishments, allocates the limited inventory to satisfy...

This paper considers a problem of multi-period supply portfolio selection and execution with demand information updates. A supply portfolio specifies a buyer's decision on selecting sourcing mix from among a group of suppliers. We develop a framework for optimal supply portfolio selection and...

Factor investing provides investors with a low-cost path to participate in long-term stock returns. The quality factor is among the most well-established equity factors with important empirical and practical implications. However, compared with other factors, the quality factor is less well...