C - Mathematical and Quantitative Methods

• 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

• The Impact of Macroprudential Housing Finance Tools in Canada: 2005–10

  Staff Working Paper 2016-41 Jason Allen, Timothy Grieder, Brian Peterson, Tom Roberts

  This paper combines loan-level administrative data with household-level survey data to analyze the impact of recent macroprudential policy changes in Canada using a microsimulation model of mortgage demand of first-time homebuyers.

  Content Type(s): Staff research, Staff working papers Topic(s): Financial system regulation and policies JEL Code(s): C, C6, C63, D, D1, D14, G, G2, G28

• Assessment of the Effects of Macroprudential Tightening in Canada

  Staff Analytical Note 2016-12 Martin Kuncl

  During the period of 2008 to 2012, the rules for government-backed mortgage insurance were tightened on four occasions. In this note, we estimate the effects through a simple econometric exercise using a vector error-correction model (VECM).

  Content Type(s): Staff research, Staff analytical notes Topic(s): Credit and credit aggregates, Financial system regulation and policies, Housing JEL Code(s): C, C3, C32, E, E6, E65, G, G2, G28

• Are Counterparty Arrangements in Reinsurance a Threat to Financial Stability?

  Staff Working Paper 2016-39 Matt Davison, Darrell Leadbetter, Bin Lu, Jane Voll

  Interconnectedness among insurers and reinsurers at a global level is not well understood and may pose a significant risk to the sector, with implications for the macroeconomy. Models of the complex interactions among reinsurers and with other participants in the financial system and the real economy are at a very early stage of development.

  Content Type(s): Staff research, Staff working papers Topic(s): Financial institutions, Financial services, Financial stability, Financial system regulation and policies JEL Code(s): C, C6, C63, G, G1, G10, G15, G18, G2, G22, G28

• Credit Risk and Collateral Demand in a Retail Payment System

  Staff Discussion Paper 2016-16 Héctor Pérez Saiz, Gabriel Xerri

  The recent financial crisis has led to the development of new regulations to control risk in designated payment systems, and the implementation of new credit risk management standards is one of the key issues. In this paper, we study various credit risk management schemes for the Canadian retail payment system (ACSS) that are designed to cover the exposure of a defaulting member.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, Financial stability, Payment clearing and settlement systems JEL Code(s): C, C5, C58, G, G2, G21, G23

• The Real-Time Properties of the Bank of Canada’s Staff Output Gap Estimates

  Staff Working Paper 2016-28 Julien Champagne, Guillaume Poulin-Bellisle, Rodrigo Sekkel

  We study the revision properties of the Bank of Canada’s staff output gap estimates since the mid-1980s. Our results suggest that the average staff output gap revision has decreased significantly over the past 15 years, in line with recent evidence for the U.S.

  Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Econometric and statistical methods, Potential output JEL Code(s): C, C3, C38, E, E1, E17, E3, E32

• What Are the Macroeconomic Effects of High-Frequency Uncertainty Shocks

  Staff Working Paper 2016-25 Laurent Ferrara, Pierre Guérin

  This paper evaluates the effects of high-frequency uncertainty shocks on a set of low-frequency macroeconomic variables that are representative of the U.S. economy. Rather than estimating models at the same common low-frequency, we use recently developed econometric models, which allows us to deal with data of different sampling frequencies.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, E, E3, E32, E4, E44