Machine Learning in Business Valuation Using Merger and Acquisition Data

Business valuation deals with the estimation of a company’s value, using information from markets and the company’s financial statements. Such valuation is important when assessing mergers and acquisitions (M&A) of companies or the sale of an owner’s share in a business. Three different approaches are commonly used for business valuation: the income approach (estimating future […]

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Statistical machine learning methods applied to ATB data for debt collection optimization, small business lending decision modelling, and open banking initiatives

The intern will research new modelling technology to determine if the new models can make a significant improvement in servicing customers for loan approvals, debt collections, and open banking. The intern will work closely with the partner to understand the banking process and opportunity. The partner organization will receive several benefits from working with the […]

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New therapeutics against T-cell acute lymphoblastic leukemia

A protein named c-Myc is causally implicated in over 50% of all human cancers. Preliminary work supports two proteins (POZ domain protein and c-Myc cofactor Miz-1) as a new drug target to disable c-Myc function. We have identified small molecules which act on this target and will now serve develop a series of optimized and […]

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Detecting Credit Transaction Fraudulent Behavior Using Recurrent Neural Networks

Fraudulent activities are hard to detect, but they cost financial institutions millions of dollars in monetary losses and legal costs every year. Millions of dollars are being lost in credit transactions as criminals are finding new, more sophisticated ways to conduct financial crime. This research project examines novel ways of detecting fraudulent behavior using powerful […]

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Determinants of Successful Public and Private Financing in the Rare Earth Sector

This research project will examine the key factors contributing to the financing success of Canadian rare earth producers from both private and public markets, including Initial Public Offerings on Toronto Stock Exchange and Mergers and Acquisitions transactions. The results from the research will be used to provide an analysis tool for Byron Capital Markets investment […]

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Plateforme Conseils pour la vie Banque Nationale

Le «?bijuridisme?» est l’une des particularités du Canada. Il s’agit de la coexistence de deux régimes juridiques fondamentalement différents : la common law et le droit civil. Pour des entreprises et des particuliers qui possèdent des biens dans plus d’une province ou encore travaillent dans plus d’une province, ce bijuridisme peut causer des maux de […]

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Deep Fraud Detection

Financial fraud is a serious issue that is taking place globally and causing considerable damage at great expense. Statistical analysis and machine learning tools can help financial institutions detect different types of fraud. In some cases however, mislabeling and the cost of classification may actually increase the volume of ‘false positives’ for supervised methods. As […]

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Do existing lending products of credit unions meet the financing needs of co-operatives – The case of Libro Credit Union and Ontario’s Co-operative Sector

Credit unions and co-operatives share a common identity and foundational values as organizations that meet the economic, social, and cultural needs of their member-owners. A perennial concern for the credit union and co-operative sectors has been the need to identify opportunities for collaboration to advance the prominence of member-owned models. This research surveys and interviews […]

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Private SQL interface for encrypted data

Querying databases without a layer of privacy protection might lead to serious privacy issues. Such issues include access patterns and communication volume patterns. By combining the state-of-the-art privacy standard (differential privacy) and encryption in provides resilience to a host of attacks on remote databases, including data reconstruction attacks. However, there is still research work needed […]

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Determining an effective management strategy for invasive exotic cattails (Typha spp.) in the Fraser River Estuary

Invasive species represent a major threat to global biodiversity, and are projected to increase in impact as globalization promotes the continued introduction of novel species. Proactive research that investigates the ecological, social, and economic threat of novel species prior to or early in their establishment is therefore critical to effective conservation planning. For our research […]

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