Adapting to COVID-19: Private Business, Public Infrastructure and the New Normal

The COVID-19 pandemic is placing enormous economic pressure on Canadian workers and employers, and it is unclear what the long-term economic impacts of the crisis will be. This research will produce a model to describe ways in which employers and workers might adapt to, recover from and build long-term resilience to COVID-19 and other natural disasters that disrupt the economy. The research will provide Limestone Analytics an opportunity to deepen its partnerships in Eastern Ontario and establish itself as a reliable industry partner in policy development.

Drivers of Time to Resolution, Application of LASSO Regression and Random Forest

International Financial Reporting Standards (IFRS) for loss allowances are changing, and financial institutions are proactively adapting existing methodologies and developing new ones to remain compliant. The main ingredient in the myriad of evaluations that banks are required to perform for compliance is risk assessment. The first goal of this research project is to review best practice risk models, with a special focus on modeling the evolution of default probabilities.

Dynamic Credit Scoring

Banks use a myriad of methodologies to inform their officers on credit extension decisions. One of the most employed approach is to summarize borrower creditworthiness by credit scores, which in turn depend on loan default probabilities. The probability of default depends both on borrower characteristic and on the overall state of the economy. The goal of this project is to create credit scores that are responsive to the expected state of the economy.

Forecasting Ability of Non-consumer Scorecards and their Ability to Predict Probability of Default

International Financial Reporting Standards (IFRS) for loss allowances are changing, and financial institutions are proactively adapting existing methodologies and developing new ones to remain compliant. The main ingredient in the myriad of evaluations that banks are required to perform for compliance is risk assessment. The first goal of this research project is to review best practice risk models, with a special focus on modeling the evolution of default probabilities.

Using Technology to Combat Social Isolation

Despite increasing accessibility to connect with others online, the general public is lonelier than ever (Blackpool, Gjøvik and Tokyo 2019). To address this growing pandemic of social isolation and loneliness, the current proposal plans to use experimental methods to examine how social media can be used to help reduce loneliness and promote overall mental well-being. Specifically, I examine it by developing a better understanding of how recommending varied (different) vs. unvaried (similar) experiences to users on a platform can aid in increasing overall psychological well-being.

Finances of the Nation: Data-driven policy analysis for Canada

The project will foster high-quality analysis of taxation and other public policies in Canada. We will assemble data on public finances of governments in Canada and, to make them more useful for policy analysis, we will transform the data to make them consistent over time and across geographic units of Canada. We will make the data readily available to researchers, policymakers, journalists, and others through an online open data portal.

Modeling Default Risk for a Small Lender using Machine Learning

Individuals with limited or poor credit history are often unable to access credit from traditional sources such as banks. While some alternative lenders will provide credit to such individuals, these lenders typically lack reliable sources of information which can be used to accurately assess the risk that the loans they make will not be repaid, and thus tend to charge very high rates of interest to compensate for the uncertainty involved on such loans.

Economic impact and feasibility analysis of public investments in broadband connectivity, and in other sectors

Interns will perform research leading to the design or the implementation of new economic strategies that can be utilized in the design, financing, monitoring and evaluation of projects at different stages. Specifically, interns will work on an analysis of equitable access to broadband connectivity in Kingston, ON, as part of the City’s plan to expand broadband access. By analyzing the benefits of broadband access and where gaps currently exist, the research will result in policy recommendations.

Behavioural finance profiling for financial advisors and clients

The purpose of this study is to develop a structural model that enhance the effectiveness of the financial advisory services. The primary value proposition Betterworth wants to demonstrate to the financial institution is how the betterworth platform will make financial advisors’ more efficient, enabling them to attend to more clients, cut their operational costs, target better solutions, enhance retention and sell additional products/services – ie. boost and extend the CLV (customer lifetime value).

Financial and Economic Analysis for the Integration of Wind Generation into Electricity Grids

This research effort will measure the impacts that the introduction of wind farms have had on the amount of electricity generated by natural gas fired thermal plants, hydro generation, nuclear generation or the quantities of electricity exported. For this analysis the historical operating information from the Province of Ontario’s electricity system will be used. An ex-post evaluation will be carried out for one or more wind farms operating in Ontario to identify the important parameters that determine the economic feasibility of such investments.

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