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2121 Results

Core inflation over the COVID-19 pandemic

Staff analytical note 2022-17 Mikael Khan, Elyse Sullivan
We assess the usefulness of various measures of core inflation over the COVID-19 pandemic. We find that Cpi-trim and CPI-median provided the best signal of underlying inflation. The favourable performance of these measures stems from their lack of reliance on historical experience, an especially valuable feature in unprecedented times.

What Is Behind the Weakness in Global Investment?

Staff discussion paper 2016-5 Maxime Leboeuf, Robert Fay
The recovery in private business investment globally remains extremely weak more than seven years after the financial crisis. This paper contributes to the ongoing policy debate on the factors behind this weakness by analyzing the role of growth prospects and uncertainty in explaining developments in non-residential private business investment in large advanced economies since the crisis.
September 9, 2021

Economic progress report: Monetary policy for the recovery

Remarks (delivered virtually) Tiff Macklem Fédération des chambres de commerce du Québec Montréal, Quebec
Bank of Canada Governor Tiff Macklem talks about the Bank’s latest interest rate announcement and discusses how the Bank could adjust monetary policy and its quantitative easing program as the recovery progresses.

Repo transaction costs and balance sheet frictions

Staff analytical paper 2026-10 Yanis Belkacem, Fabienne Schneider, Adrian Walton
We develop an approach to quantify transaction costs in the repo market using OTC transaction data, where quoted bid-ask spreads are not observable. By estimating effective spreads at the level of individual trades, we construct a novel metric to evaluate intermediation costs across different segments of the market.

Calculating Effective Degrees of Freedom for Forecast Combinations and Ensemble Models

Staff discussion paper 2022-19 James Younker
This paper derives a calculation for the effective degrees of freedom of a forecast combination under a set of general conditions for linear models. Computing effective degrees of freedom shows that the complexity cost of a forecast combination is driven by the parameters in the weighting scheme and the weighted average of parameters in the auxiliary models.
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