Consumers, businesses and banks make millions of payments each day using a variety of instruments, such as debit cards, cheques and wires. Canada is currently developing three new systems to process these transactions: Lynx, Settlement Optimization Engine (SOE) and Real-Time Rail (RTR).
Repeated interactions between borrowers and lenders create the possibility of dynamic pricing: lenders compete aggressively with low prices to attract new borrowers and then raise their prices once borrowers have made a commitment. We find such pricing patterns in the Canadian mortgage market.
Investors who trade based on good research are said to be the backbone of stock markets: They conduct research to discover the value of stocks and, through their trading, guide financial prices to reflect true value. What can make their job difficult is that high-speed, short-term traders could use machine learning and other technologies to infer when informed investors are trading.
COVID-19 presents challenges for indebted households. We assess these by drawing parallels between pandemics and natural disasters. Taking into account the financial health of the household sector when the pandemic began, we run model simulations to illustrate how payment deferrals and the labour market recovery will affect mortgage defaults.
We study the causal effect of mortgage rate changes on consumer spending, debt repayment and defaults during an expansionary and a contractionary monetary policy episode in Canada. We find asymmetric responses of consumer durable spending, deleveraging and defaults. These findings help us to understand household sector response to interest rate changes.
Dealers connect investors who want to buy or sell securities in financial markets. Over time, dealers and investors form trading networks to save time and resources. An emerging field
of research investigates how networks form.