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The price effects of liquidity shocks: A study of the SEC’s tick size experiment

Journal of Financial Economics 2020 138(3), 700-724 open access
Do stock prices of publicly listed companies respond to changes in transaction costs? Using the SEC’s pilot program that increased the tick size for approximately 1,200 randomly chosen stocks, we find a stock price decrease between 1.75% and 3.2% for small spread stocks affected by the larger tick size relative to a control group. We find that the increase in the present value of transaction costs accounts for a small percentage of the price decrease. We study channels of price variation due to changes in expected returns: information risk, investor horizon, and liquidity risk. The evidence suggests that trading frictions affect the cost of capital.

Quantifying private benefits of control from a structural model of block trades

Journal of Financial Economics 2010 96(1), 33-55
We study the determinants of private benefits of control in negotiated block transactions. We estimate the block pricing model in Burkart, Gromb and Panunzi (2000) explicitly accounting for both block premiums and block discounts in the data. The evidence suggests that the occurrence of a block premium or discount depends on the controlling block holder's ability to fight a potential tender offer for the target's stock. We find evidence of large private benefits of control and of associated deadweight losses, but also of value creation by controlling shareholders. Finally, we provide evidence consistent with Jensen's free cash flow hypothesis.

Global private information in international equity markets☆

Journal of Financial Economics 2009 94(1), 18-46
This paper studies international equity markets when some investors have private information that is valuable for trading in many countries simultaneously. We use a dynamic model of equity trading to show that global private information helps explain US investors’ trading behavior and performance. In particular, the model predicts global return chasing (positive co-movement of US investors’ net purchases with returns in many countries) which we show to be present in the data. Return chasing in our model can be due to superior performance of US investors, not inferior knowledge or naive trend-following. We also show that trades due to private information are strongly correlated across countries. A common (global) factor accounts for about half their variation.

Value creation in shareholder activism

Journal of Financial Economics 2022 145(2), 153-178 open access
We measure value creation by activist investors via structural estimation of a model of the choice between passive investment and activism. Our estimates imply that average returns following activist intent announcements consist of 74.8% expected value creation, or treatment, 13.4% stock picking, and 11.8% sample selection effects. Higher treatment values predict improvements in firm performance and lower proxy contest probabilities, whereas abnormal announcements returns do not, suggesting that our estimate identifies more effective activism campaigns. The evidence demonstrates the importance of using the joint distribution of investment strategies and announcement returns to recover the expected returns and costs of activism.

Trade credit and cross-country predictable firm returns

Journal of Financial Economics 2015 115(3), 592-613
We investigate the role of trade credit links in generating cross-border return predictability between international firms. Using data from 43 countries from 1993 to 2009, we find that firms with high trade credit located in producer countries have stock returns that are strongly predictable based on the returns of their associated customer countries. This behavior is especially prevalent among firms with high levels of foreign sales. To better understand this effect we develop an asset pricing model in which firms in different countries are connected by trade credit links. The model offers further predictions about this phenomenon, including stronger predictability during periods of high credit constraints and low uninformed trading volume. We find supportive empirical evidence for these predictions.