C - Mathematical and Quantitative Methods

• The Bank of Canada 2015 Retailer Survey on the Cost of Payment Methods: Nonresponse

  Technical Report No. 107 Stan Hatko

  Nonresponse is a considerable challenge in the Retailer Survey on the Cost of Payment Methods conducted by the Bank of Canada in 2015. There are two types of nonresponse in this survey: unit nonresponse, in which a business does not reply to the entire survey, and item nonresponse, in which a business does not respond to particular questions within the survey.

  Content Type(s): Staff research, Technical reports Topic(s): Central bank research JEL Code(s): C, C8, C81, C83

• Small‐Sample Tests for Stock Return Predictability with Possibly Non‐Stationary Regressors and GARCH‐Type Effects

  Staff Working Paper 2017-10 Sermin Gungor, Richard Luger

  We develop a simulation-based procedure to test for stock return predictability with multiple regressors. The process governing the regressors is left completely free and the test procedure remains valid in small samples even in the presence of non-normalities and GARCH-type effects in the stock returns.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C12, C3, C32, G, G1, G14

• Adoption Costs of Financial Innovation: Evidence from Italian ATM Cards

  Staff Working Paper 2017-8 Kim Huynh, Philipp Schmidt-Dengler, Gregor W. Smith, Angelika Welte

  The discrete choice to adopt a financial innovation affects a household’s exposure to inflation and transactions costs. We model this adoption decision as being subject to an unobserved cost.

  Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Econometric and statistical methods, Financial services JEL Code(s): C, C3, C35, D, D1, D14, E, E4, E41

• Stability and Efficiency in Decentralized Two‐Sided Markets with Weak Preferences

  Staff Working Paper 2017-4 Radoslav Raykov

  Many decentralized markets are able to attain a stable outcome despite the absence of a central authority (Roth and Vande Vate, 1990). A stable matching, however, need not be efficient if preferences are weak. This raises the question whether a decentralized market with weak preferences can attain Pareto efficiency in the absence of a central matchmaker.

  Content Type(s): Staff research, Staff working papers Topic(s): Economic models JEL Code(s): C, C7, C78, D, D6, D61

• A Dynamic Factor Model for Nowcasting Canadian GDP Growth

  Staff Working Paper 2017-2 Tony Chernis, Rodrigo Sekkel

  This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, C38, C5, C53, E, E3, E37

• Terms-of-Trade and House Price Fluctuations: A Cross-Country Study

  Staff Working Paper 2017-1 Paul Corrigan

  Terms-of-trade shocks are known to be key drivers of business cycles in open economies. This paper argues that terms-of-trade shocks were also important for house price fluctuations in a panel of developed countries over the 1994–2015 period.

  Content Type(s): Staff research, Staff working papers Topic(s): Financial stability, Housing, International topics JEL Code(s): C, C3, C32, E, E3, E32, E5, E51, F, F3, F36, F4, F41

• Information Sharing and Bargaining in Buyer-Seller Networks

  Staff Working Paper 2016-63 Sofia Priazhkina, Frank H. Page

  This paper presents a model of strategic buyer-seller networks with information exchange between sellers. Prior to engaging in bargaining with buyers, sellers can share access to buyers for a negotiated transfer. We study how this information exchange affects overall market prices, volumes and welfare, given different initial market conditions and information sharing rules.

  Content Type(s): Staff research, Staff working papers Topic(s): Economic models, Firm dynamics, Market structure and pricing JEL Code(s): C, C7, C71, C78, D, D2, D21, D4, D43, D8, D85, L, L1, L13

• Monetary Policy, Private Debt and Financial Stability Risks

  Staff Working Paper 2016-59 Gregory Bauer, Eleonora Granziera

  Can monetary policy be used to promote financial stability? We answer this question by estimating the impact of a monetary policy shock on private-sector leverage and the likelihood of a financial crisis. Impulse responses obtained from a panel VAR model of 18 advanced countries suggest that the debt-to-GDP ratio rises in the short run following an unexpected tightening in monetary policy.

  Content Type(s): Staff research, Staff working papers Topic(s): Credit and credit aggregates, Financial stability, Monetary policy, Monetary policy transmission JEL Code(s): C, C2, C21, C23, E, E5, E52, E58
• November 17, 2016

  Commodity Price Supercycles: What Are They and What Lies Ahead?

  Bank of Canada Review - Autumn 2016 Bahattin Buyuksahin, Kun Mo, Konrad Zmitrowicz

  Because commodity prices help determine Canada’s terms of trade, employment, income and, ultimately, inflation, it is important to understand what causes them to fluctuate. Since the early 1900s, there have been four commodity price supercycles—which we define as extended periods of boom and bust that can take decades to complete. Now in its downswing phase, the current supercycle started after growth in China and other emerging-market economies in the mid-1990s resulted in an unexpected demand shock. The extent of this downswing depends on numerous factors that are presently uncertain.

  Content Type(s): Publications, Bank of Canada Review articles Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C1, Q, Q1, Q4, Q41

• Household Risk Assessment Model

  Technical Report No. 106 Brian Peterson, Tom Roberts

  Household debt can be an important source of vulnerability to the financial system. This technical report describes the Household Risk Assessment Model (HRAM) that has been developed at the Bank of Canada to stress test household balance sheets at the individual level.

  Content Type(s): Staff research, Technical reports Topic(s): Financial stability, Housing, Sectoral balance sheet JEL Code(s): C, C0, C6, C63, C65, D, D0, D1, D14