C - Mathematical and Quantitative Methods

• On the Tail Risk Premium in the Oil Market

  Staff Working Paper 2017-46 Reinhard Ellwanger

  This paper shows that changes in market participants’ fear of rare events implied by crude oil options contribute to oil price volatility and oil return predictability. Using 25 years of historical data, we document economically large tail risk premia that vary substantially over time and significantly forecast crude oil futures and spot returns.

  Content Type(s): Staff research, Staff working papers Topic(s): Asset pricing, Econometric and statistical methods, Financial markets JEL Code(s): C, C5, C53, C58, D, D8, D84, E, E4, E44, G, G1, G12, G13, Q, Q4, Q43

• Identification of Random Resource Shares in Collective Households Without Preference Similarity Restrictions

  Staff Working Paper 2017-45 Geoffrey R. Dunbar, Arthur Lewbel, Krishna Pendakur

  Resource shares, defined as the fraction of total household spending going to each person in a household, are important for assessing individual material well-being, inequality and poverty. They are difficult to identify because consumption is measured typically at the household level, and many goods are jointly consumed, so that individual-level consumption in multi-person households is not directly observed.

  Content Type(s): Staff research, Staff working papers Topic(s): Domestic demand and components, Econometric and statistical methods JEL Code(s): C, C3, C31, D, D1, D11, D12, D13, I, I3, I32

• The Mode is the Message: Using Predata as Exclusion Restrictions to Evaluate Survey Design

  Staff Working Paper 2017-43 Heng Chen, Geoffrey R. Dunbar, Rallye Shen

  Changes in survey mode (e.g., online, offline) may influence the values of survey responses, and may be particularly problematic when comparing repeated cross-sectional surveys.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods JEL Code(s): C, C8

• Global Trade Flows: Revisiting the Exchange Rate Elasticities

  Staff Working Paper 2017-41 Matthieu Bussière, Guillaume Gaulier, Walter Steingress

  This paper contributes to the debate on the magnitude of exchange rate elasticities by providing a set of price and quantity elasticities for 51 advanced and emerging-market economies. Specifically, for each of these countries we report the elasticity of trade prices and trade quantities on both the export and on the import sides, as well as the reaction of the trade balance.

  Content Type(s): Staff research, Staff working papers Topic(s): Exchange rates, Inflation and prices, International topics JEL Code(s): C, C5, C51, F, F1, F14, F3, F31, F33, F4, F41

• What’s Up with Unit Non-Response in the Bank of Canada’s Business Outlook Survey? The Effect of Staff Tenure

  Staff Discussion Paper 2017-11 Sarah Miller, David Amirault, Laurent Martin

  Since 1997, the Bank of Canada’s regional offices have been conducting the Business Outlook Survey (BOS), a quarterly survey of business conditions. Survey responses are gathered through face-to-face, confidential consultations with a sample of private sector firms representative of the various sectors, firm sizes and regions across Canada.

  Content Type(s): Staff research, Staff discussion papers Topic(s): Econometric and statistical methods, Firm dynamics, Regional economic developments JEL Code(s): C, C2, C21, C8, C81, D, D2, D22

• A Dynamic Factor Model for Commodity Prices

  Staff Analytical Note 2017-12 Doga Bilgin, Reinhard Ellwanger

  In this note, we present the Commodities Factor Model (CFM), a dynamic factor model for a large cross-section of energy and non-energy commodity prices. The model decomposes price changes in commodities into a common “global” component, a “block” component confined to subgroups of economically related commodities and an idiosyncratic price shock component.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Econometric and statistical methods, Recent economic and financial developments JEL Code(s): C, C5, C51, Q, Q0, Q02

• 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 Topic(s): Financial stability, Financial system regulation and policies JEL Code(s): C, C7, C72, E, E5, E58, G, G0, G01, G2, G21, G28

• How to Predict Financial Stress? An Assessment of Markov Switching Models

  Staff Working Paper 2017-32 Benjamin Klaus, Thibaut Duprey

  This paper predicts phases of the financial cycle by using a continuous financial stress measure in a Markov switching framework. The debt service ratio and property market variables signal a transition to a high financial stress regime, while economic sentiment indicators provide signals for a transition to a tranquil state.

  Content Type(s): Staff research, Staff working papers Topic(s): Business fluctuations and cycles, Central bank research, Econometric and statistical methods, Financial markets, Financial stability, Financial system regulation and policies, Monetary and financial indicators JEL Code(s): C, C5, C54, G, G0, G01, G1, G15

• Retrieving Implied Financial Networks from Bank Balance-Sheet and Market Data

  Staff Working Paper 2017-30 Jose Fique

  In complex and interconnected banking systems, counterparty risk does not depend only on the risk of the immediate counterparty but also on the risk of others in the network of exposures.

  Content Type(s): Staff research, Staff working papers Topic(s): Financial institutions, Financial stability JEL Code(s): C, C6, C63, D, D8, D85, G, G2, G21

• Adoption of a New Payment Method: Theory and Experimental Evidence

  Staff Working Paper 2017-28 Jasmina Arifovic, John Duffy, Janet Hua Jiang

  We model the introduction of a new payment method, e.g., e-money, that competes with an existing payment method, e.g., cash. The new payment method involves relatively lower per-transaction costs for both buyers and sellers, but sellers must pay a fixed fee to accept the new payment method.

  Content Type(s): Staff research, Staff working papers Topic(s): Central bank research, Digital currencies and fintech JEL Code(s): C, C3, C35, C8, C83, C9, C92, E, E4, E41