Market functioning

• A Counterfactual Valuation of the Stock Index as a Predictor of Crashes

  Staff working paper 2017-38 Tom Roberts

  Stock market fundamentals would not seem to meaningfully predict returns over a shorter-term horizon—instead, I shift focus to severe downside risk (i.e., crashes).

  Content Type(s): Staff research, Staff working papers JEL Code(s): G, G0, G01, G1, G12, G17, G19 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk

• The MacroFinancial Risk Assessment Framework (MFRAF), Version 2.0

  Technical report No. 111 Jose Fique

  This report provides a detailed technical description of the updated MacroFinancial Risk Assessment Framework (MFRAF), which replaces the version described in Gauthier, Souissi and Liu (2014) as the Bank of Canada’s stress-testing model for banks with a focus on domestic systemically important banks (D-SIBs).

  Content Type(s): Staff research, Technical reports JEL Code(s): C, C7, C72, E, E5, E58, G, G0, G01, G2, G21, G28 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Financial system regulation and oversight

• Do Canadian Broker-Dealers Act as Agents or Principals in Bond Trading?

  Staff analytical note 2017-11 Daniel Hyun, Jesse Johal, Corey Garriott

  Technology, risk tolerance and regulation may influence dealers to reduce their trading as principals (using their own balance sheets for sales and purchases of securities) in favour of agency trading (matching client trades).

  Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G14, G2, G20, L, L1 Research Theme(s): Financial markets and funds management, Market functioning, Market structure

• Did the Renewable Fuel Standard Shift Market Expectations of the Price of Ethanol?

  Staff working paper 2017-35 Christiane Baumeister, Reinhard Ellwanger, Lutz Kilian

  It is commonly believed that the response of the price of corn ethanol (and hence of the price of corn) to shifts in biofuel policies operates in part through market expectations and shifts in storage demand, yet to date it has proved difficult to measure these expectations and to empirically evaluate this view.

  Content Type(s): Staff research, Staff working papers JEL Code(s): Q, Q1, Q18, Q2, Q28, Q4, Q42, Q5, Q58 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures