Using a unique proprietary account-level trading dataset in China, we investigate how active information acquisition alleviates price-based return comovement, a typical anomaly in stock splits. We find that: 1) individual trading drives the comovement and the trading correlation between split...

Labor cost has rapidly increased in the past decades. However, little is known about its effect on the firm-level robot adoption, and evidence about the consequences of robot adoption on firm production is limited. Based on a novel dataset of robot adoption at the firm-level, we use geographic...

We study the classic multi-period joint pricing and inventory control problem in a data-driven setting.In this problem, a retailer makes periodic decisions on the prices and inventory levels of an item that she wishes to sell. The retailer's objective is to maximize the expected profit over a...

We study a single product pricing problem with demand censoring in an offline data-driven setting. In this problem, a retailer is given a finite amount of inventory, and faces a random demand that is price sensitive in a linear fashion with unknown price sensitivity and base demand distribution....