C - Mathematical and Quantitative Methods

• Applying the Wage-Common to Canadian Provinces

  Staff Analytical Note 2018-16 Jonathan Lachaine

  As at the national level, available sources of hourly wage data for Canadian provinces sometimes send conflicting signals about wage growth. This note has two objectives. First, we develop a common measure of provincial wages (the provincial wage-common) to better capture the underlying wage pressures, reflecting the overall trend across all data sources.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Econometric and statistical methods, Labour markets, Recent economic and financial developments JEL Code(s): C, C3, C38, J, J3

• Analysis of Asymmetric GARCH Volatility Models with Applications to Margin Measurement

  Staff Working Paper 2018-21 Elena Goldman, Xiangjin Shen

  We explore properties of asymmetric generalized autoregressive conditional heteroscedasticity (GARCH) models in the threshold GARCH (GTARCH) family and propose a more general Spline-GTARCH model, which captures high-frequency return volatility, low-frequency macroeconomic volatility as well as an asymmetric response to past negative news in both autoregressive conditional heteroscedasticity (ARCH) and GARCH terms.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C5, C58, G, G1, G19, G2, G23, G28

• The (Un)Demand for Money in Canada

  Staff Working Paper 2018-20 Casey Jones, Geoffrey R. Dunbar

  A novel dataset from the Bank of Canada is used to estimate the deposit functions for banknotes in Canada for three denominations: $1,000, $100 and $50. The broad flavour of the empirical findings is that denominations are different monies, and the structural estimates identify the underlying sources of the non-neutrality.

  Content Type(s): Staff research, Staff working papers Topic(s): Bank notes, Econometric and statistical methods JEL Code(s): C, C3, C31, C36, E, E4, E41

• State Correlation and Forecasting: A Bayesian Approach Using Unobserved Components Models

  Staff Working Paper 2018-14 Luis Uzeda

  Implications for signal extraction from specifying unobserved components (UC) models with correlated or orthogonal innovations have been well investigated. In contrast, the forecasting implications of specifying UC models with different state correlation structures are less well understood.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, C11, C15, C5, C51, C53

• Asymmetric Risks to the Economic Outlook Arising from Financial System Vulnerabilities

  Staff Analytical Note 2018-6 Thibaut Duprey

  When financial system vulnerabilities are elevated, they can give rise to asymmetric risks to the economic outlook. To illustrate this, I consider the economic outlook presented in the Bank of Canada’s October 2017 Monetary Policy Report in the context of two key financial system vulnerabilities: high levels of household indebtedness and housing market imbalances.

  Content Type(s): Staff research, Staff analytical notes Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Financial stability, Financial system regulation and policies, Monetary and financial indicators, Monetary policy and uncertainty, Recent economic and financial developments JEL Code(s): C, C0, C01, C1, C11, C15, E, E1, E17, E3, E32, E37, E4, E44, E47, E5, E58, E6, E66, G, G0, G01, G1, G18

• Can Media and Text Analytics Provide Insights into Labour Market Conditions in China?

  Staff Working Paper 2018-12 Jeannine Bailliu, Xinfen Han, Mark Kruger, Yu-Hsien Liu, Sri Thanabalasingam

  The official Chinese labour market indicators have been seen as problematic, given their small cyclical movement and their only-partial capture of the labour force. In our paper, we build a monthly Chinese labour market conditions index (LMCI) using text analytics applied to mainland Chinese-language newspapers over the period from 2003 to 2017.

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, International topics, Labour markets JEL Code(s): C, C3, C38, C5, C55, E, E2, E24, E27

• Dismiss the Gap? A Real-Time Assessment of the Usefulness of Canadian Output Gaps in Forecasting Inflation

  Staff Working Paper 2018-10 Lise Pichette, Marie-Noëlle Robitaille, Mohanad Salameh, Pierre St-Amant

  We use a new real-time database for Canada to study various output gap measures. This includes recently developed measures based on models incorporating many variables as inputs (and therefore requiring real-time data for many variables).

  Content Type(s): Staff research, Staff working papers Topic(s): Econometric and statistical methods, Inflation and prices, Potential output JEL Code(s): C, C5, C53, E, E3, E37

• The Government of Canada Debt Securities Data Set

  Technical Report No. 112 Jeffrey Gao, Francisco Rivadeneyra, Gabriel Rodriguez Rondon

  We present the daily time series of the outstanding amounts of all Government of Canada marketable debt securities from July 2001 to June 2017.

  Content Type(s): Staff research, Technical reports Topic(s): Debt management, Econometric and statistical methods, Financial markets JEL Code(s): C, C8, C80, G, G1, G10, H, H6, H63

• What Drives Interbank Loans? Evidence from Canada

  Staff Working Paper 2018-5 Narayan Bulusu, Pierre Guérin

  We identify the drivers of unsecured and collateralized loan volumes, rates and haircuts in Canada using the Bayesian model averaging approach to deal with model uncertainty. Our results suggest that the key friction driving behaviour in this market is the collateral reallocation cost faced by borrowers.

  Content Type(s): Staff research, Staff working papers Topic(s): Financial markets, Wholesale funding JEL Code(s): C, C5, C55, E, E4, E43, G, G2, G23

• A Calibrated Model of Intraday Settlement

  Staff Discussion Paper 2018-3 Héctor Pérez Saiz, Siddharth Untawala, Gabriel Xerri

  This paper estimates potential exposures, netting benefits and settlement gains by merging retail and wholesale payments into batches and conducting multiple intraday settlements in this hypothetical model of a single "calibrated payments system." The results demonstrate that credit risk exposures faced by participants in the system are largely dependent on their relative activity in the retail and wholesale payments systems.

  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