
A 2022 Primer for Crypto-Trading
June 20, 2022 9:12 amA 2022 Primer for Crypto-Trading Andreas Park, Research Director, Rotman FinHub, University of Toronto Download the full paper - PDF... View Article
A 2022 Primer for Crypto-Trading Andreas Park, Research Director, Rotman FinHub, University of Toronto Download the full paper - PDF... View Article
Five Futures of Currency: Fiat vs Credit, CBDC, Stablecoins, and Crypto Lois Tullo, Executive in Residence, Global Risk Institute Download... View Article
This report examines the potential of BNPL from a Canadian perspective. We introduce the current state of BNPL in Canada and the potential evolution pattern in the future. In addition, various risks associated with the BNPL disruption are discussed to help financial sector leaders better assess opportunities in the market.
FINANCIAL INNOVATION SERIES: Adversarial Machine Learning: Risks and Opportunities for Financial Institutions Alexey Rubtsov, PhD, Senior Research Associate, Global Risk... View Article
One of the areas in finance where machine learning is having an impact is the hedging of derivative portfolios. If there were no transaction costs, one strategy would be to zero out all the Greek letters (delta, gamma, vega, etc.). But in practice, a trader must follow a partial hedging strategy that reflects trade-offs between risk reduction and transaction costs.
World Economic Forum’s 2022 Risk Report highlight’s global environmental concerns as top of mind, followed closely by Societal concerns metal health deterioration and Social cohesion erosion, and continuing Technological concerns failure of cyber security and in Canada a potential Debt Crises and Geoeconomic confrontations.