Publications Database

Welcome to the new Schulich Peer-Reviewed Publication Database!

The database is currently in beta-testing and will be updated with more features as time goes on. In the meantime, stakeholders are free to explore our faculty’s numerous works. The left-hand panel affords the ability to search by the following:

  • Faculty Member’s Name;
  • Area of Expertise;
  • Whether the Publication is Open-Access (free for public download);
  • Journal Name; and
  • Date Range.

At present, the database covers publications from 2012 to 2020, but will extend further back in the future. In addition to listing publications, the database includes two types of impact metrics: Altmetrics and Plum. The database will be updated annually with most recent publications from our faculty.

If you have any questions or input, please don’t hesitate to get in touch.

 

Search Results

Rui Duan and Yelena Larkin (2025). "Short-term institutional investors and the diffusion of supply chain information", Journal of Empirical Finance, 81,101581.

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Keywords
Abstract
What informational advantage do short-term investors have? This paper demonstrates that short-term investors can benefit from the ability to process public, but slowly diffusing, supply chain information ahead of other market participants. In support of this argument, we find that short-term investors establish larger long and short positions in firms with high customer concentration. In addition, an increase in short-term institutional ownership is associated with higher stock returns in firms with high customer concentration, supporting the informational advantage hypothesis. Finally, the relationship between customer concentration and short-term institutional ownership strengthens in high information asymmetry environment. In contrast, we do not find preference towards high customer concentration firms among long-term institutions, who are less positioned to exploit short-lived informational benefits.

Christoffersen, S. K., Musto, D. K., Keim, D. B., Rzeźnik, A. (2021). "Passive-Aggressive Trading: The Supply and Demand of Liquidity by Mutual Funds", Review of Finance, 3137465.

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Keywords
Abstract Active mutual funds supply liquidity when demanding it becomes uneconomical. They tilt toward cheaper buy trades after inflows deplete their trading ideas, when trading ideas in general run low, and when they have more stocks to supply liquidity to, and their cheaper trades perform worse. Their largest trades are more likely to supply liquidity, explaining why they were not broken up. Funds perform better when they pay more for their buys, and perform worse when they pay more for their sells, consistent with the implied value of the trades and the correlation between what a fund trades and what it holds.

Coutts, A., Armand, A., Vincente, P. and Vilela, L. (2020). "Does Information Break the Political Resource Curse? Experimental Evidence from Mozambique", American Economic Review, 110(11), 3431-53.

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Keywords
Abstract Natural resources can have a negative impact on the economy through corruption and civil conflict. This paper tests whether information can counteract this political resource curse. We implement a large-scale field experiment following the dissemination of information about a substantial natural gas discovery in Mozambique. We measure outcomes related to the behavior of citizens and local leaders through georeferenced conflict data, behavioral activities, lab-in-the-field experiments, and surveys. We find that information targeting citizens and their involvement in public deliberations increases local mobilization and decreases violence. By contrast, when information reaches only local leaders, it increases elite capture and rent-seeking.

Kecskés, A., Michaely, R. and Womack, K. (2017). "Do Earnings Estimates Add Value to Sell-Side Analysts’ Investment Recommendations?", Management Science, 63(6), 1855-1871.

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Keywords
Abstract Sell-side analysts change their stock recommendations when their valuations differ from the market’s. These valuation differences can arise from either differences in earnings estimates or the nonearnings components of valuation methodologies. We find that recommendation changes motivated by earnings estimate revisions have a greater initial price reaction than the same recommendation changes without earnings estimate revisions: about +1.3% (−2.8%) greater for upgrades (downgrades). Nevertheless, the postrecommendation drift is also greater, suggesting that investors underreact to earnings-based recommendation changes. Implemented as a trading strategy, earnings-based recommendation changes earn risk-adjusted returns of 3% per month, considerably more than non-earnings-based recommendation changes. Evidence from variation in firms’ information environment and analysts’ regulatory environment suggests that recommendation changes with earnings estimate revisions are less affected by analysts’ cognitive and incentive biases.