Systemic Risk and Collateral Adequacy Staff working paper 2019-23 Radoslav Raykov Many derivatives markets use collateral requirements calculated with industry-standard but dated methods that are not designed with systemic risk in mind. This paper explores whether the conservative nature of conventional collateral requirements outweighs their lack of consideration of systemic risk. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G10, G2, G20 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Money and payments, Payment and financial market infrastructures
Online Privacy and Information Disclosure by Consumers Staff working paper 2019-22 Shota Ichihashi A consumer discloses information to a multi-product seller, which learns about the consumer’s preferences, sets prices, and makes product recommendations. While the consumer benefits from accurate product recommendations, the seller may use the information to price discriminate. Content Type(s): Staff research, Staff working papers JEL Code(s): D, D8, D82, D83 Research Theme(s): Financial markets and funds management, Market functioning, Models and tools, Economic models, Structural challenges, Digitalization and productivity
Bank Market Power and Central Bank Digital Currency: Theory and Quantitative Assessment Staff working paper 2019-20 Jonathan Chiu, Mohammad Davoodalhosseini, Janet Hua Jiang, Yu Zhu We show that issuing a deposit-like central bank digital currency (CBDC) with a proper interest rate would encourage banks to pay higher interest to keep their customers. Banks would then attract more deposits and offer more loans. Hence, a CBDC would not necessarily crowd out private banking. Content Type(s): Staff research, Staff working papers JEL Code(s): E, E5, E50, E58 Research Theme(s): Financial markets and funds management, Market structure, Monetary policy, Monetary policy framework and transmission, Money and payments, Digital assets and fintech
Financial Distress and Hedging: Evidence from Canadian Oil Firms Staff discussion paper 2019-4 Kun Mo, Farrukh Suvankulov, Sophie Griffiths The paper explores the link between financial distress and the commodity price hedging behaviour of Canadian oil firms. Content Type(s): Staff research, Staff discussion papers JEL Code(s): G, G3, G32, Q, Q4, Q40 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Household and business credit
Could Canadian Bond Funds Add Stress to the Financial System? Staff analytical note 2019-9 Rohan Arora, Guillaume Bédard-Pagé, Guillaume Ouellet Leblanc, Ryan Shotlander We create a hypothetical scenario to study the role bond funds play in intensifying shocks to the financial system. Using data from 2018 and 2007, we find that bond funds play a larger role now than they did in the past. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G2, G20, G23 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
Bond Funds and Fixed-Income Market Liquidity: A Stress-Testing Approach Technical report No. 115 Rohan Arora, Guillaume Bédard-Pagé, Guillaume Ouellet Leblanc, Ryan Shotlander This report provides a detailed technical description of a stress test model for investment funds called Ceto. Content Type(s): Staff research, Technical reports JEL Code(s): G, G1, G12, G14, G2, G20, G23 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Financial stability and systemic risk
Do Survey Expectations of Stock Returns Reflect Risk Adjustments? Staff working paper 2019-11 Klaus Adam, Dmitry Matveev, Stefan Nagel Motivated by the observation that survey expectations of stock returns are inconsistent with rational return expectations under real-world probabilities, we investigate whether alternative expectations hypotheses entertained in the literature on asset pricing are consistent with the survey evidence. Content Type(s): Staff research, Staff working papers JEL Code(s): G, G1, G10, G12 Research Theme(s): Financial markets and funds management, Market functioning, Market structure, Models and tools, Econometric, statistical and computational methods, Economic models
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 JEL Code(s): G, G1, G2, G20, G23 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Models and tools, Econometric, statistical and computational methods
Price Caps in Canadian Bond Borrowing Markets Staff analytical note 2019-2 Léanne Berger-Soucy, Jean-Sébastien Fontaine, Adrian Walton Price controls, or caps, can lead to shortages, as 1970’s gasoline price controls illustrate. One million trades show that the market for borrowing bonds in Canada has an implicit price cap: traders are willing to pay no more than the overnight interest rate to borrow a bond. This suggests the probability of a shortage increases when interest rates are very low. Content Type(s): Staff research, Staff analytical notes JEL Code(s): G, G1, G10, G12 Research Theme(s): Financial markets and funds management, Market functioning, Market structure
Inference in Games Without Nash Equilibrium: An Application to Restaurants’ Competition in Opening Hours Staff working paper 2018-60 Erhao Xie This paper relaxes the Bayesian Nash equilibrium (BNE) assumption commonly imposed in empirical discrete choice games with incomplete information. Instead of assuming that players have unbiased/correct expectations, my model treats a player’s belief about the behavior of other players as an unrestricted unknown function. I study the joint identification of belief and payoff functions. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C57, L, L1, L13, L8, L85 Research Theme(s): Financial markets and funds management, Market structure, Models and tools, Econometric, statistical and computational methods