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Convertible Bond Arbitrageurs as Suppliers of Capital

Review of Financial Studies 2010 23(6), 2492-2522
[This article examines the potential impact of capital supply on security issuance. We focus on the role of convertible bond arbitrageurs as suppliers of capital to convertible bond issuers. We estimate a simultaneous equations model of demand and supply of convertible bond capital, linking the time series of aggregate convertible bond issuance to measures of capital supply: convertible bond arbitrage hedge fund flows, returns, and a proxy for arbitrageurs' use of leverage. We find that issuance is positively and significantly related to increases in all three supply measures. To provide further interpretation, we use the September/October 2008 short-selling ban as a natural experiment to examine the impact of an exogenous shock to the supply of capital from arbitrageurs. Results from both empirical approaches provide evidence that the supply of capital from convertible bond arbitrageurs impacts issuance.]

Alpha Go Everywhere: Machine Learning and International Stock Returns

The Review of Asset Pricing Studies 2025 15(3-4), 288-331
We apply machine learning techniques to predict international stock returns using firm characteristics. Market-specific training is important, as neural network models (NNs) achieve stronger results when they are trained in each market separately than in a global model trained with U.S. data. NNs outperform linear models in predicting stock return rankings and forming profitable portfolios. In contrast, regression trees underperform linear models when the number of observations is low. We also show that adding variables constructed from U.S. firm characteristics, which may contain information beyond the characteristics of international stocks, further enhances the return predictability of market-specific NNs. (JEL C52, G10, G12, G15)

Attention to Global Warming

Review of Financial Studies 2020 33(3), 1112-1145
We find that people revise their beliefs about climate change upward when experiencing warmer than usual temperatures in their area. Using international data, we show that attention to climate change, as proxied by Google search volume, increases when the local temperature is abnormally high. In financial markets, stocks of carbon-intensive firms underperform firms with low carbon emissions in abnormally warm weather. Retail investors (not institutional investors) sell carbon-intensive firms in such weather, and return patterns are unlikely to be driven by changes in fundamentals. Our study sheds light on peoples’ collective beliefs and actions about global warming.

Convertible Bond Arbitrageurs as Suppliers of Capital

Review of Financial Studies 2010 23(6), 2492-2522
This article examines the potential impact of capital supply on security issuance. We focus on the role of convertible bond arbitrageurs as suppliers of capital to convertible bond issuers. We estimate a simultaneous equations model of demand and supply of convertible bond capital, linking the time series of aggregate convertible bond issuance to measures of capital supply: convertible bond arbitrage hedge fund flows, returns, and a proxy for arbitrageurs’ use of leverage. We find that issuance is positively and significantly related to increases in all three supply measures. To provide further interpretation, we use the September/October 2008 short-selling ban as a natural experiment to examine the impact of an exogenous shock to the supply of capital from arbitrageurs. Results from both empirical approaches provide evidence that the supply of capital from convertible bond arbitrageurs impacts issuance.

Learning about Mutual Fund Managers

Journal of Finance 2016 71(6), 2809-2860
ABSTRACT We study capital allocations to managers with two mutual funds, and show that investors learn about managers from their performance records. Flows into a fund are predicted by the manager's performance in his other fund, especially when he outperforms and when signals from the other fund are more useful. In equilibrium, capital should be allocated such that there is no cross‐fund predictability. However, we find positive predictability, particularly among underperforming funds. Our results are consistent with incomplete learning: while investors move capital in the right direction, they do not withdraw enough capital when the manager underperforms in his other fund.