Staff analytical notes

• Liquidity Management of Canadian Corporate Bond Mutual Funds: A Machine Learning Approach

  Staff Analytical Note 2019-7 Rohan Arora, Chen Fan, Guillaume Ouellet Leblanc

  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.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Financial markets, Financial stability JEL Code(s): G, G1, G2, G20, G23

• The Size and Characteristics of Informal (“Gig”) Work in Canada

  Staff Analytical Note 2019-6 Olena Kostyshyna, Corinne Luu

  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.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Labour markets, Recent economic and financial developments JEL Code(s): E, E2, E24, E26, J, J2, J20, J3, J30, J4

• Canada’s Monetary Policy Report: If Text Could Speak, What Would It Say?

  Staff Analytical Note 2019-5 André Binette, Dmitri Tchebotarev

  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.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Central bank research, Monetary policy JEL Code(s): E, E0, E02, E5, E52