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

Chen, X., Weber, O., & Saravade, V. (2022). "Does It Pay to Issue Green? An Institutional Comparison of Mainland China and Hong Kong’s Stock Markets Toward Green Bonds", Frontiers in Psychology, 13.

Open Access Download

The stock market is an indicator of investor sentiment when it comes to new information
or innovative rm-level products. Green bonds are both innovative and unique in terms
of their higher information disclosures and understanding the impact of sustainable nance
on investor outlook for a company’s stock. Using the comparative case of Mainland China
and Hong Kong’s stock market, weexamine whether green bond announcements from
2016 to 2019 can create signicant investor reactions. By employing the event study
methodology, weconrm that both markets react in a positive way toward green bond
announcements. This reinforces the reputational and nancial benets of green bonds.
Wend that issuers that are non-banks, environmentally friendly rms as well as those
issuing non-general bonds, create a more positive reaction, whereas ownership aspects
do not matter as much for investors. However, even among those issuers listed in both
markets, certain institutional dynamics like strategic framing and source credibility tend
to reinforce a rm’s institutional legitimacy and are seen as being more prominent for
investor reaction. The policy implications of our study show that the stock market reaction
among two connected economies, where previously varying institutional contexts have
resulted in regional differences, are now equally supportive of sustainable nancial markets
like the green bond. As seen with the positive stock market sentiment, governments and
listed issuers can now better align their policies and internal strategies, allowing the
low-carbon transition to bea nancially attractive opportunity for all investors.

Karell, V. and Yeomans, J.S. (2018). "Anomaly Interactions and the Cross-Section of Stock Returns", Fuzzy Economic Review, 23(1), 33-61.

View Paper

Abstract This study provides new evidence on anomaly interactions, as well as on the cross-section of returns in all-but-microcap universe of U.S. stocks over the 42-year sample period from 1971 to 2013. The five anomalies being examined are size, value, profitability, investment/asset growth, and momentum. We form 5x5 conditional double-sort portfolios for each pair of anomaly variables, resulting in 20 different 5x5 sorts when using each variable in the first-stage sorting and the remaining four in the second-stage sorting. The interrelation between each pair of anomaly variables is evaluated on the basis of the monotonic relation (MR) test of Patton and Timmermann (2010) for portfolio raw returns, and in addition, by means of the Sharpe ratio comparisons. Moreover, we run Fama-MacBeth (1973) cross-sectional regressions to compare the relative explanatory power of each variable in the presence of the others. The results show that investment/asset growth and momentum dimensions capture the cross-sectional return patterns better than size, value, or profitability. The relative efficacy of momentum is higher in all-but-microcap universe than previously documented for the corresponding unlimited market-cap samples of U.S. stocks.