C - Mathematical and Quantitative Methods

• A Horse Race of Monetary Policy Regimes: An Experimental Investigation

  Staff Working Paper 2022-33 Olena Kostyshyna, Luba Petersen, Jing Yang

  How should central banks design monetary policy in stable times and during recessions? We run a horse race between five monetary policy frameworks in an experimental laboratory to assess how well the different approaches can manage the public’s expectations and stabilize the economy.

  Content Type(s): Staff research, Staff working papers Topic(s): Inflation targets, Monetary policy, Monetary policy communications, Monetary policy framework JEL Code(s): C, C9, D, D8, D84, E, E5, E52, E58

• Comparison of Bayesian and Sample Theory Parametric and Semiparametric Binary Response Models

  Staff Working Paper 2022-31 Xiangjin Shen, Iskander Karibzhanov, Hiroki Tsurumi, Shiliang Li

  We use graphic processing unit computing to compare Bayesian and sample theory semiparametric binary response models. Our findings show that optimal bandwidth does not outperform regular bandwidth in binary semiparametric models.

  Content Type(s): Staff research, Staff working papers Topic(s): Credit risk management, Econometric and statistical methods JEL Code(s): C, C1, C14, C3, C35, C5, C51, C6, C63, D, D1

• The Business Leaders’ Pulse—An Online Business Survey

  Staff Discussion Paper 2022-14 Tony Chernis, Chris D'Souza, Kevin MacLean, Tasha Reader, Joshua Slive, Farrukh Suvankulov

  This paper introduces the Business Leaders’ Pulse, a new online survey conducted each month. It is designed to provide timely and flexible input into the Bank of Canada’s monetary policy decision making by asking firms about their sales and employment growth expectations, the risks to their business outlook, and topical questions that address specific information needs of the Bank.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Monetary policy and uncertainty, Recent economic and financial developments JEL Code(s): C, C8, C83, D, D2, D22, E, E3, E32

• Quantum Monte Carlo for Economics: Stress Testing and Macroeconomic Deep Learning

  Staff Working Paper 2022-29 Vladimir Skavysh, Sofia Priazhkina, Diego Guala, Thomas Bromley

  Using the quantum Monte Carlo algorithm, we study whether quantum computing can improve the run time of economic applications and challenges in doing so. We apply the algorithm to two models: a stress testing bank model and a DSGE model solved with deep learning. We also present innovations in the algorithm and benchmark it to classical Monte Carlo.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods, Economic models, Financial stability JEL Code(s): C, C1, C15, C6, C61, C63, C68, C7, E, E1, E13, G, G1, G17, G2, G21

• Cash in the Pocket, Cash in the Cloud: Cash Holdings of Bitcoin Owners

  Staff Working Paper 2022-26 Daniela Balutel, Christopher Henry, Kim Huynh, Marcel Voia

  We estimate the effect that owning Bitcoin has on the amount of cash held by Canadian consumers. Our results question the view that adopting certain new technologies, such as Bitcoin, leads to a decline in cash holdings.

  Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, E, E4, O, O3, O33, O5, O51

• Transmission of Cyber Risk Through the Canadian Wholesale Payment System

  Staff Working Paper 2022-23 Anneke Kosse, Zhentong Lu

  This paper studies how the impact of a cyber attack that paralyzes one or multiple banks' ability to send payments would transmit to other banks through the Canadian wholesale payment system. Based on historical payment data, we simulate a wide range of scenarios and evaluate the total payment disruption in the system.

  Content Type(s): Staff research, Staff working papers Topic(s): Financial institutions, Financial stability, Payment clearing and settlement systems JEL Code(s): C, C4, C49, E, E4, E42, E47, G, G2, G21

• Nonparametric Identification of Incomplete Information Discrete Games with Non-equilibrium Behaviors

  Staff Working Paper 2022-22 Erhao Xie

  This paper jointly relaxes two assumptions in the literature that estimates games. These two assumptions are the parametric restriction on the model primitives and the restriction of equilibrium behaviors. Without imposing the above two assumptions, this paper identifies the primitives of the game.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C57

• Nowcasting Canadian GDP with Density Combinations

  Staff Discussion Paper 2022-12 Tony Chernis, Taylor Webley

  We present a tool for creating density nowcasts for Canadian real GDP growth. We demonstrate that the combined densities are a reliable and accurate tool for assessing the state of the economy and risks to the outlook.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C52, C53, E, E3, E7

• Resilience of bank liquidity ratios in the presence of a central bank digital currency

  Staff Analytical Note 2022-5 Alissa Gorelova, Bena Lands, Maria teNyenhuis

  Could Canadian banks continue to meet their regulatory liquidity requirements after the introduction of a cash-like retail central bank digital currency (CBDC)? We conduct a hypothetical exercise to estimate how a CBDC could affect bank liquidity by increasing the run-off rates of transactional retail deposits under four increasingly severe scenarios.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Central bank research, Digital currencies and fintech, Econometric and statistical methods, Financial institutions, Financial stability JEL Code(s): C, E, E4, G, G2, G21, O, O3, O33

• Historical Data on Repurchase Agreements from the Canadian Depository for Securities

  Technical Report No. 121 Maxim Ralchenko, Adrian Walton

  We develop an algorithm that extracts information about sale and repurchase agreements (repos) from disaggregated settlement data in order to generate a new historical dataset for research.

  Content Type(s): Staff research, Technical reports Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C5, C55, C8, C81, G, G1, G10