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Statistical inference--both estimation and testing--for stochastic volatility (SV) models is known to be challenging and computationally demanding. We propose simple and efficient estimators for SV models with conditionally heavy-tailed error distributions, particularly the Student’s t and Generalized Exponential Distributions (GED). The estimators rely on a small set of moment conditions derived from ARMA-type representations of SV models, with an option to apply “winsorization” to improve stability and finite-sample performance. Except for the degrees of-freedom parameter, closed-form expressions are available for all other parameters, extending Ahsan and Dufour (2019, 2021), thus eliminating the need for numerical optimization or initial values. We derive the estimators’ asymptotic distribution and show that, due to their analytical tractability, they support reliable, and even exact, simulation-based inference via Monte Carlo or bootstrap methods. We assess their performance through extensive simulations and demonstrate their practical relevance in financial return data, which strongly reject the normality assumption in favor of heavy-tailed models.

Project Samara was a real‑world experiment testing distributed ledger technology and wholesale central bank digital money for bond issuance and settlement in Canada. It demonstrated technical feasibility and potential efficiency and risk‑reduction benefits, while highlighting important trade‑offs related to complexity, governance, and regulatory alignment.

Hedge funds are active in Canadian government bond markets and help improve market efficiency. But their trading strategies are not well understood. We offer insights into the range of strategies hedge funds use beyond the more commonly known cash-futures basis trade. We also explore the concentration of trading activity among a few large funds.

We provide a primer on the role of debt modelling in informing the sovereign debt issuance strategy and discuss how specific challenges faced by debt managers can influence model design decisions. These insights are supported by our experiences using the Canadian Debt Strategy Model to guide policy decisions.

We study the cross-section of equilibrium returns on safe assets using a tractable asset pricing model with a micro-founded demand for liquidity and multiple safe assets with heterogeneous transaction costs. We test the main predictions of our theory using a novel measure of relative (in)convenience yields in the US Treasury market.

In 2024, the Canadian Overnight Repo Rate Average (CORRA) rose 7 basis points above the Bank of Canada’s target overnight rate as settlement balances declined and hedge fund borrowing increased by $30 billion, straining dealers’ balance sheets. Exercising market power, dealers raised rates, and as client activity grew, these higher rates increasingly influenced CORRAs deviation from target.

We construct a dataset on Federal Reserve and Bank of Canada non-rate announcement events to provide novel insights into how foreign and domestic monetary policy communications affect the financial markets of open economies. We find that Fed non-rate communications have a stronger impact on long-term interest rates and stock futures, while Bank of Canada communications are relatively more important for short-term interest rates and the exchange rate.

This article examines what market conditions lead to extreme losses in global financial systems. Using a reverse stress testing approach, it introduces two measures of systemic risk by starting from the tail losses and working backward to identify the events most closely associated with them.

We show how Treasury demand shocks transmit to foreign exchange and bond markets globally. Higher Treasury demand weakens the U.S. dollar and raises foreign bond prices, with effects persisting for two weeks. The transmission varies predictably across countries based on their monetary policy alignment with the United States.

We examine the Canadian money market fund (MMF) sector and find that it has grown rapidly, holding a large share of treasury bills and commercial paper. Unlike in some other jurisdictions where investor outflows likely amplified stresses, Canadian MMFs experienced inflows during the March 2020 market turmoil.