Staff analytical notes - Bank of Canada
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Bank of Canada RSS Feedsen2024-03-29T07:41:37+00:00Liquidity Management of Canadian Corporate Bond Mutual Funds: A Machine Learning Approach
https://www.bankofcanada.ca/2019/02/staff-analytical-note-2019-7/
When redeeming shares for investors, bond fund managers must choose a mix of cash and bond sales to honour their commitments. This note uses machine learning algorithms to uncover new patterns in decisions fund managers make to meet redemptions.2019-02-22T06:00:39+00:00enLiquidity Management of Canadian Corporate Bond Mutual Funds: A Machine Learning Approach2019-02-22The Size and Characteristics of Informal (“Gig”) Work in Canada
https://www.bankofcanada.ca/2019/02/staff-analytical-note-2019-6/
Underlying wage growth has fallen short of what would be consistent with an economy operating with little or no slack. While many factors could explain this weakness, the availability of additional labour resources from informal (“gig”) work—not fully captured in standard measures of employment and hours worked—may play a role.2019-02-21T15:25:45+00:00enThe Size and Characteristics of Informal (“Gig”) Work in Canada2019-02-21Canada’s Monetary Policy Report: If Text Could Speak, What Would It Say?
https://www.bankofcanada.ca/2019/02/staff-analytical-note-2019-5/
This note analyzes the evolution of the narrative in the Bank of Canada’s Monetary Policy Report (MPR). It presents descriptive statistics on the core text, including length, most frequently used words and readability level—the three Ls. Although each Governor of the Bank of Canada focuses on the macroeconomic events of the day and the mandate of inflation targeting, we observe that the language used in the MPR varies somewhat from one Governor’s tenure to the next.2019-02-06T10:39:30+00:00enCanada’s Monetary Policy Report: If Text Could Speak, What Would It Say?2019-02-06