If the Bank of Canada issues a central bank digital currency, the technology should be designed for universal access.
Privacy is a key aspect of a potential central bank digital currency system. We outline different technical choices to enact various privacy models while complying with the appropriate regulations. We develop a framework to evaluate privacy models and list key risks and trade-offs in privacy design.
We propose a new strength measure of the global financial cycle by estimating a regime-switching factor model on cross-border equity flows for 61 countries. We then assess how the strength of the global financial cycle affects monetary policy independence, which is defined as the response of central banks' policy interest rates to exogenous changes in inflation.
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).
In times of high uncertainty, governments often implement interventions such as bailouts to financial institutions. To use public resources efficiently and to avoid major spillovers to the rest of the economy, policy-makers try to identify which institutions should receive assistance.
In many credit markets, prices are negotiated repeatedly. The final mortgage rate, for example, is rarely the posted price, but something that borrowers and lenders have bargained over. If borrowers are not satisfied with the rates their lenders propose, they need to search for and negotiate better offers.
In this study, we enhance Markowitz portfolio selection with graph theory for the analysis of two portfolios composed of either EU or US assets. Using a threshold-based decomposition of their respective covariance matrices, we perturb the level of risk in each portfolio and build the corresponding sets of graphs.
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.
This note uses industry data and a unique dataset of small and medium-sized merchants to provide insights into the acquirer-merchant market in Canada.
We investigate the uncertainty around stock returns at different investment horizons. Since a return is either a loss or a gain, we categorize return uncertainty into these two components. Loss uncertainty is the uncertainty surrounding negative returns, and gain uncertainty is the uncertainty surrounding any future gain. Investment opportunities can be evaluated by looking at these components.