During the internship at Shred Capital, the Business Strategy intern will work closely with the core team to create an innovative and quantitative investment funnel to dynamically gauge investment prospects. They will help create documentation, reports, and automated tables – utilizing quantitative and qualitative metrics – to provide a deeper level of understanding about our […]

This project will be focused on helping us advance our company creation efforts and will help us design a strategy for targeting and prioritizing areas of research, geographies and expertise in life sciences across Canada.

L’organisme partenaire effectuant de projets de coopération internationale, Desjardins, possède des protocoles de collecte de données non à jour quant aux bonnes pratiques. L’organisation a atteint le stage final de son projet de micro-financement au Bénin Appui au développement, à l’assainissement et à la professionnalisation du secteur de la microfinance (ADAPAMI) et doit mettre sur […]

Ayrshire is an investment management firm focused principally on real estate investing in Alberta. We own retail, office and residential properties in multiple markets. Recently we have seen a shift in investment demand associated with new acquisition and developments of multifamily apartment housing in Western Canada. Recently Ayrshire received federal funding through CHMC Rental Construction […]

Le résumé des opinions des clients est une tâche essentielle pour un entreprise dans une ère où le consommateur se fait un avis au travers des recommandations de ses pairs. L’objectif du projet est alors de fournir une représentation générale, informative, et contenant des avis objectifs et constructifs de ces opinions. Pour cela nous proposons […]

This continued project is aimed at using state-of-the-art machine learning, mathematical and AI techniques to create profitable trading strategies in derivative markets. Using our existing framework, we now seek to apply modern algorithms/models with the explicit purpose of implementing fully independent algorithmic trading strategies.

At a high level, the goal of this project is to create a system for producing synthetic datasets based on real data. As a large financial crime detection firm, Verafin deals with large volumes of sensitive data which must be kept private, however they are also interested in collaborating with academics to gain new insights […]

En contribuant au champ de recherche de la responsabilité sociale des entreprises (RSE) et de la théorie des parties prenantes, cette étude empirique qualitative répond à la question « Quels sont les facteurs déterminants qu’une organisation doit adopter pour internaliser les valeurs de la finance durable ? ». Ce projet de recherche vise alors à […]

More and more small and medium enterprises these days rely on continuous cash flow for the survival of their business. Current pandemic has made their survival with reduced business activities worse by relying on government support and brought down many businesses creating domino effect of joblessness and adverse economic impacts. The overall goal of this […]

Volatility is an important variable for liquidity management. It is used to time the submission of buy and sell orders and their aggression levels in stock markets, bond markets, and derivatives markets. Volatility is also an important variable in the pricing of derivatives. Market participants will use volatility estimates to improve the quality of their […]

As a reinsurer, the partner organization backs risky and/or high face-value policies that are otherwise detrimental to insurance companies to underwrite. However, currently the available information on the policyholder is based on prior information stored in the company databases and on previous policies held or claims administered and/or what is presented on the forms provided […]

This research will determine which combinations of metrics sets and machine learning algorithms provide the most accurate outcomes when analyzing the data produced in the CSE-IDC-IDS2018 dataset.