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2399 result(s)

Canadian stock market since COVID‑19: Why a V-shaped price recovery?

Between February 19 and March 23, 2020, the Canadian stock market plunged due to the severe economic impact of COVID-19. By the end of the summer, the stock market had already recovered a significant portion of its losses, leaving many asking if investors see the economy through rose-coloured glasses. Despite these concerns, we find that current market valuations for companies on the Toronto Stock Exchange align well, on average, with the declines in earning forecasts observed since the start of the year. We also find these market valuations are consistent with the discount rate returning to its pre-pandemic level.

On Causal Networks of Financial Firms: Structural Identification via Non-parametric Heteroskedasticity

Staff Working Paper 2020-42 Ruben Hipp
Banks’ business interactions create a network of relationships that are hidden in the correlations of bank stock returns. But for policy interventions, we need causality to understand how the network changes. Thus, this paper looks for the causal network anticipated by investors.

Security and convenience of a central bank digital currency

Staff Analytical Note 2020-21 Charles M. Kahn, Francisco Rivadeneyra
An anonymous token-based central bank digital currency (CBDC) would pose certain security risks to users. These risks arise from how balances are aggregated, from their transactional use and from the competition between suppliers of aggregation solutions.

Interbank Asset-Liability Networks with Fire Sale Management

Staff Working Paper 2020-41 Zachary Feinstein, Grzegorz Halaj
Raising liquidity when funding is stressed creates pressure on the financial market. Liquidating large quantities of assets depresses their prices and may amplify funding shocks. How do banks weathering a funding crisis contribute to contagion risk?

The New Benchmark for Forecasts of the Real Price of Crude Oil

How can we assess the quality of a forecast? We propose a new benchmark to evaluate forecasts of temporally aggregated series and show that the real price of oil is more difficult to predict than we thought.

Predicting Payment Migration in Canada

Staff Working Paper 2020-37 Anneke Kosse, Zhentong Lu, Gabriel Xerri
Developments are underway to replace Canada’s two core payment systems with three new systems. We use a discrete choice model to predict migration patterns of end-users and financial institutions for future systems and discuss their policy implications.

Child Skill Production: Accounting for Parental and Market-Based Time and Goods Investments

Can daycare replace parents’ time spent with children? We explore this by using data on how parents spend time and money on children and how this spending is related to their child’s development.

What do high-frequency expenditure network data reveal about spending and inflation during COVID‑19?

Staff Analytical Note 2020-20 Kim Huynh, Helen Lao, Patrick Sabourin, Angelika Welte
The official consumer price index (CPI) inflation measure, based on a fixed basket set before the COVID 19 pandemic, may not fully reflect what consumers are currently experiencing. We partnered with Statistics Canada to construct a more representative index for the pandemic with weights based on real-time transaction and survey data.
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