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 JEL Code(s): C, C1, C11, C15, C5, C51, C53 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
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 JEL Code(s): C, C3, C38, C5, C55, E, E2, E24, E27 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Monetary policy, Real economy and forecasting, Structural challenges, Demographics and labour supply
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 JEL Code(s): C, C5, C53, E, E3, E37 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
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 JEL Code(s): C, C5, C55, E, E4, E43, G, G2, G23 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial institutions and intermediation, Monetary policy, Monetary policy framework and transmission
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 JEL Code(s): C, C5, C58, G, G2, G21, G23 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
Tail Risk in a Retail Payment System: An Extreme-Value Approach Staff discussion paper 2018-2 Héctor Pérez Saiz, Blair Williams, Gabriel Xerri The increasing importance of risk management in payment systems has led to the development of an array of sophisticated tools designed to mitigate tail risk in these systems. In this paper, we use extreme value theory methods to quantify the level of tail risk in the Canadian retail payment system (ACSS) for the period from 2002 to 2015. Content Type(s): Staff research, Staff discussion papers JEL Code(s): C, C5, C58, G, G2, G21, G23 Research Theme(s): Financial system, Financial stability and systemic risk, Models and tools, Econometric, statistical and computational methods, Money and payments, Payment and financial market infrastructures
Is the Discretionary Income Effect of Oil Price Shocks a Hoax? Staff working paper 2017-50 Christiane Baumeister, Lutz Kilian, Xiaoqing Zhou The transmission of oil price shocks has been a question of central interest in macroeconomics since the 1970s. There has been renewed interest in this question after the large and persistent fall in the real price of oil in 2014–16. In the context of this debate, Ramey (2017) makes the striking claim that the existing literature on the transmission of oil price shocks is fundamentally confused about the question of how to quantify the effect of oil price shocks. Content Type(s): Staff research, Staff working papers JEL Code(s): C, C5, C51, Q, Q4, Q43 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Inflation dynamics and pressures, Real economy and forecasting
Evaluating Real GDP Growth Forecasts in the Bank of Canada Monetary Policy Report Staff analytical note 2017-21 André Binette, Dmitri Tchebotarev This paper examines the quality of projections of real GDP growth taken from the Bank of Canada Monetary Policy Report (MPR) since they were first published in 1997. Over the last decade, it has become common practice among the central banking community to discuss forecast performance publicly. Content Type(s): Staff research, Staff analytical notes JEL Code(s): C, C5, C52, E, E3, E32, E37, E5, E52 Research Theme(s): Models and tools, Econometric, statistical and computational methods, Economic models, Monetary policy, Real economy and forecasting
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 JEL Code(s): C, C5, C53, C58, D, D8, D84, E, E4, E44, G, G1, G12, G13, Q, Q4, Q43 Research Theme(s): Financial markets and funds management, Market functioning, Financial system, Financial stability and systemic risk, Monetary policy, Inflation dynamics and pressures, Structural challenges, International trade, finance and competitiveness
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 JEL Code(s): C, C5, C51, F, F1, F14, F3, F31, F33, F4, F41 Research Theme(s): Financial markets and funds management, International markets and currencies, Structural challenges, International trade, finance and competitiveness