I develop a dynamic structural model in which a firm makes rational decisions to buy or sell assets in the presence of productivity shocks. By identifying equilibrium asset prices, the model also examines the aggregate asset sales activity over the business cycle. It shows that changes in productivity, rather than productivity levels, affect decisions: Firms with rising productivity buy assets and firms with falling productivity downsize (“rising buys falling”). As such, industries in which firms have less persistent and more volatile productivity experience greater asset reallocation. Using plant‐level data from Longitudinal Research Database (LRD), I find strong support for the model's predictions.

We document differences in human-capital deployment between diversified and focused firms. We find that diversified firms have higher labor productivity and that they redeploy labor to industries with better prospects in response to changing opportunities. The opportunities and incentives provided in internal labor markets in turn affect the development of workers' human capital. We find that workers more frequently transition to other industries in which their diversified firms operate and with smaller wage losses compared with workers in the open market, even when they leave their original firms. Overall, internal labor markets provide a bright side to corporate diversification.

We compare the growth and responsiveness to demand shocks of post-initial public offering (IPO) firms and their private counterparts. Using multiple measures of myopia and multiple ways to match IPO firms with private firms, we do not find evidence of myopic behavior by public firms. IPO firms respond more to investment opportunities and have higher productivity in their early public years. Our results on public firms’ sensitivity to growth opportunities hold under several robustness tests, including when we consider firms’ total growth including acquisitions. The results show the importance of matching public to private firms early in their life.

We surveyed all Chinese public firms in 2019 and 2022 to examine the real effects of financial markets. Over 90% of firms say they actively monitor the stock market, and the most common reasons they provide are that they learn new information from the price and that they depend on the price for financing. Focusing on the learning channel, we examine how the responses relate to firm characteristics and actions. Firms that indicate learning have characteristics that suggest greater benefit from market information. They also exhibit higher investment-to-price sensitivity. We provide results on what dimensions of information firms learn about.

Accounting misstatements are often detected with substantial delays, leading to “look-ahead bias” in model predictions if the detection lag is not considered. Moreover, the misstatement data-generating process is evolving due to regulatory regime shifts, further complicating the evaluation of model predictions. We design an approach that accounts for detection lags and continuously updates models to adapt to the changing data-generating process. By comparing with the conventional approach that ignores detection lags, we show that the look-ahead bias can substantially inflate prediction performance. We also demonstrate that although leaving a temporal gap between training and test samples can mitigate the look-ahead bias, it sacrifices the model’s predictive power by disconnecting the dynamic data-generating process between training and test periods. We further implement a trading strategy to evaluate the practical utility of the continuously updating approach. Our study presents a new conceptual lens for understanding and evaluating misstatement prediction models. Data Availability: Data are available from the public sources identified in the study.

We document that public firms participate more than private firms as buyers and sellers of assets in merger waves and their participation is affected more by credit spreads and aggregate market valuation. Public firm acquisitions realize higher gains in productivity, particularly for on‐the‐wave acquisitions and when the acquirer's stock is liquid and highly valued. Our results are not driven solely by public firms' better access to capital. Using productivity data from early in the firm's life, we find that better private firms subsequently select to become public. Initial size and productivity predict asset purchases and sales 10 and more years later.