Collaboration and experimentation across disciplines underscore University of Guelph research projects funded by the Social Sciences and Humanities Research Council (SSHRC), announced yesterday by François-Philippe Champagne, minister of innovation, science and industry. Of the 11 University of Guelph researchers to receive funding, 5 are from the Lang School. These projects from Lang explore topics related to climate change, non-profit marketing, social impact, AI learning and corporate finance, contributing to the University's total of $674,972 in SSHRC Insight Development grants.
Read more about Lang faculty’s SSHRC funding below:
Climate change and property and casualty insurance: a risk management perspective – Dr. Hong Li
Associate professor of economics Dr. Hong Li is the principal investigator on Climate change and property and casualty insurance: a risk management perspective. The research project will analyze the impact of climate change on the insurance sector, which is especially important considering the increase in the frequency of natural disasters as a result of a changing climate and its unprecedented contribution to worldwide economic loss, stressing the importance of risk management and adapting business models to help predict future financial damage and understand the global economy.
The project has received $69,623 in SSHRC Insight Development Grant funding.
How Do Donors Make Use of Publicly Available Information about Charities to Make Donation Decisions? – Dr. Juan Wang
Marketing associate professor Dr. Juan Wang is a co-applicant on How Do Donors Make Use of Publicly Available Information about Charities to Make Donation Decisions? This research investigates how potential donors utilize two types of charity information, the charity's various projects and the resources available to the organization, to make informed decisions.
The project has received $38,189 in SSHRC Insight Development Grant funding.
How Public Recognition Leads Consumers to Help Distant Others – Dr. Saerom Lee
Dr. Saerom Lee, associate professor of marketing is the sole applicant on How Public Recognition Leads to Help Distant Others, which has received $60,435 in SSHRC Insight Development Grant funding. The study explores the motivations behind consumers' willingness to help distant recipients, therefore seeking to provide a working framework for marketers representing organizations that spearhead social causes to engage consumers better and promote opportunities to support people in needy communities. Through this research, Dr. Lee aims to provide new theoretical insights concerning when and why public recognition effectively encourages consumers to help social causes and how to improve social causes to contribute to the well-being of individuals and broader society.
Using Machine Learning and Big Data to Improve the Accuracy and Interpretability of Volatility Forecasts – Dr. Fulei (Fred) Liu
Associate professor of finance Dr. Fulei (Fred) Liu is the principal investigator on Using Machine Learning and Big Data to Improve the Accuracy and Interpretability of Volatility Forecasts. This research study will address the limitations of conventional volatility forecasting models by developing and designing a sophisticated machine learning model to improve interpretability and accuracy. Through their research, Liu hopes to strengthen the reliability of models forecasting volatility to support decision-making and ensure the soundness of the financial system.
This research project has received $65,000 in SSHRC Insight Development Grant funding.
Measurement Error in Empirical Corporate Finance – Dr. Yiguo Sun and Delong Li
Along with co-applicant Dr. Delong Li, Lang’s Dr. Yiguo Sun is the principle investigator on Measurement error in empirical corporate finance, which has received $50,369 in SSHRC Insight Development Grant funding. The study aims to provide a novel econometric framework to account for measurement error and utilize that foundation to investigate critical issues within corporate finance and financial regulation. Through their research, Dr. Sun expects their methodology and empirical work to extend beyond and have broad applications in the fields of finance, economics, and policy making.
