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

Perry Sadorsky (2025). "Does the Yield Curve Affect the Systemic Risk Between the Stocks of FinTech and Traditional Finance Companies?", Finance Research Open, 1(4), 100073.

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Keywords
Abstract This study explores the effect of yield curve components (level, slope, and curvature) on the return connectedness (systemic risk) between US FinTech stocks and traditional US financial stocks. Quantile connectedness analysis reveals that total connectedness fluctuates over time, particularly reaching high levels during the COVID-19 lockdowns and the 2023 US bank panic, underscoring the substantial impact of global health crises and bank panics. Connectedness tends to be higher but less variable under extreme market conditions than during normal times. The level and slope components of the yield curve negatively and significantly affect total connectedness in both normal and extreme conditions. This suggests that favorable economic conditions reduce systemic risk; however, the strength of these effects varies depending on market conditions. Their impact is most substantial in normal market conditions, with a one-standard deviation rise in the level (slope) reducing systemic risk by 0.77 % (1.22 %). Conversely, a one-standard deviation increase in economic policy uncertainty most notably raises total connectedness by 2.01 % in normal markets. In contrast, a similar increase in five-year expected inflation decreases total connectedness the most, by 2.46 % in normal markets.

Kanagaretnam, K,. Jin, J.Y., Liu, Y. and Lobo, J. (2019). "Economic Policy Uncertainty and Bank Earnings Opacity", Journal of Accounting and Public Policy, 38, 199- 218.

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Keywords
Abstract Using a sample of U.S. banks and an index for economic policy uncertainty developed by Baker et al. (2016), we investigate whether economic policy uncertainty is systematically related to bank earnings opacity. When economic policy is relatively uncertain, it is easier for bank managers to distort financial information, as unpredictable economic policy changes make assessing the existence and impact of hidden “adverse news” more difficult for investors and creditors. Economic policy uncertainty also increases the fluctuation in banks’ earnings and cash flows, thus providing additional incentives and opportunities for bank managers to engage in earnings management. Our results show that uncertainty in economic policy is positively related to earnings opacity, proxied by the magnitude of discretionary loan loss provisions and the likelihood of just meeting or beating the prior year’s earnings, and negatively related to the level of accounting conservatism (i.e., the timeliness of recognition of bad news relative to good news). Collectively, our results suggest that economic policy uncertainty leads to greater earnings opacity. We also find that the impact of economic policy uncertainty on financial reporting distortion is less pronounced for stronger banks (i.e., banks with high capital ratios).