Climate Risk Valuation – Mapping climatology to macro-economic indicators

Climate change is one of the greatest challenge society has ever faced, with increasingly severe consequences for humanity. Climate change also creates risks to both the safety and soundness of the individual firms and to the stability of the financial system. This will be felt both in the cost of direct losses to climate events, […]

Read More
Demand estimation in consumer-packaged goods market using BLP method

Leveraging the entirety of point of sale and loyalty data collected across a category, as well as additional socio-economic and other supporting data sources, apply statistical modelling to identify the own-price elasticity of demand and cross-price elasticity of demand at regular and promoted price points across Unilever’s portfolio within that category. Subsequently measuring the promotional […]

Read More
Exploring applications of Machine Learning and Quantum Computing in optimization, finance, and the healthcare industry

MITACS interns at 1QBit will aid in the research and development of experimental usage of quantum and classical hardware devices for industry use including, healthcare, finance, advanced materials, and optimization. Interns will have the opportunity to work alongside academics and research teams. MITACS interns will gain the practical experience of applying their knowledge for industry […]

Read More
Establishing best practices for generating synthetic pediatric health data

As the COVID-19 pandemic has made painfully clear, it is both important and difficult to analyze the large volumes of patient data collected by hospitals and other healthcare providers. Ideally, data would be widely-shared between institutions, and experts and teams with diverse backgrounds would be able to contribute to the analysis. Unfortunately, this is not […]

Read More
Quini Machine Learning Wine Recommendation Engine

Quini is developing a revolutionary system that allows wine producers to predict with a high level of accuracy how much acceptance and sales they will be able to generate from a wine product, over time, in which major cities and selling to whom as the primary buyers. The system will also give consumers exacting wine […]

Read More
Physiological Data Analysis and Credibility Assessment

The subject of assessing credibility is not new. What we are proposing in this project, on the other hand, is novel. It has been shown in various context that assessing credibility is extremely difficulty. In this project, we take a data-driven approach, relying on fundamental knowledge of neural physiology and data collected by NuraLogix, our […]

Read More
Use of Mobile ADCPs towards 4-D flow mapping at the FORCE tidal stream site

The complex, turbulent features of fast-flowing tidal currents at the FORCE tidal energy site in Minas Passage make it difficult to accurately measure, model and predict the hydrographic features of the flow. But, these flow predictions are critical to effectively assessing the impact of tidal stream energy on marine life. This project aims to improve […]

Read More
Quantitative Trading in North American Power Markets

Following the success of mathematical and statistical modelling in various financial markets, we believe that quantitative methods can also be used to effectively establish trading vehicles for power and its derivatives. However, most of the quantitative literature in power markets is focused on specific aspects primarily from the perspective of load-serving or generation units. Instead, […]

Read More
Fundamental Review of the Trading Book. A Factor Analysis

The Fundamental Review of the Trading Book (FRTB) is a set of regulations by the Basel committee, which is expected to be implemented by banks by 2022. The regulation targets market risk management in banking industry. According to FRTB, banks need to post extra capital against non-modellable risk factors, which could account for 30% of […]

Read More
Risk aggregation beyond the normal limits

Risk aggregation is omnipresent in insurance applications. A recent example, borrowed from the modern regulatory accords, is the determination of the aggregate economic capital and its consequent allocation to risk drivers. A more traditional illustration of the importance of risk aggregation in insurance is the celebrated collective risk theory that dates back to the early […]

Read More