The Size and Destination of China’s Portfolio Outflows Staff Discussion Paper 2018-11 Rose Cunningham, Eden Hatzvi, Kun Mo The size of China’s financial system raises the possibility that the liberalization of its capital account could have a large effect on the global financial system. This paper provides a counterfactual scenario analysis that estimates what the size and direction of China’s overseas portfolio investments would have been in 2015 if China had had no restrictions on these outflows. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Balance of payments and components, Econometric and statistical methods, International topics JEL Code(s): C, C2, C23, F, F2, F21, F3, F32, G, G1, G15
Disaggregating Household Sensitivity to Monetary Policy by Expenditure Category Staff Analytical Note 2018-32 Tony Chernis, Corinne Luu Because the Bank of Canada has started withdrawing monetary stimulus, monitoring the transmission of these changes to monetary policy will be important. Subcomponents of consumption and housing will likely respond differently to a monetary policy tightening, both in terms of the aggregate effect and timing. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Business fluctuations and cycles, Domestic demand and components, Econometric and statistical methods, Housing, Interest rates, Monetary policy transmission, Recent economic and financial developments JEL Code(s): C, C3, C32, E, E2, E21, E22, E4, E43, E47, E5, E52
Monetary Policy Uncertainty: A Tale of Two Tails Staff Working Paper 2018-50 Tatjana Dahlhaus, Tatevik Sekhposyan We document a strong asymmetry in the evolution of federal funds rate expectations and map this observed asymmetry into measures of monetary policy uncertainty. We show that periods of monetary policy tightening and easing are distinctly related to downside (policy rate is higher than expected) and upside (policy rate is lower than expected) uncertainty. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Monetary policy and uncertainty, Monetary policy communications, Monetary policy transmission JEL Code(s): C, C1, C18, C3, C32, E, E0, E02, E4, E43, E5, E52
Challenges in Implementing Worst-Case Analysis Staff Working Paper 2018-47 Jon Danielsson, Lerby Ergun, Casper G. de Vries Worst-case analysis is used among financial regulators in the wake of the recent financial crisis to gauge the tail risk. We provide insight into worst-case analysis and provide guidance on how to estimate it. We derive the bias for the non-parametric heavy-tailed order statistics and contrast it with the semi-parametric extreme value theory (EVT) approach. Content Type(s): Staff research, Staff working papers Research Topic(s): Financial stability JEL Code(s): C, C0, C01, C1, C14, C5, C58
How Long Does It Take You to Pay? A Duration Study of Canadian Retail Transaction Payment Times Staff Working Paper 2018-46 Geneviève Vallée Using an exclusive data set of payment times for retail transactions made in Canada, I show that cash is the most time-efficient method of payment (MOP) when compared with payments by debit and credit cards. I model payment efficiency using Cox proportional hazard models, accounting for consumer choice of MOP. Content Type(s): Staff research, Staff working papers Research Topic(s): Bank notes, Econometric and statistical methods, Payment clearing and settlement systems JEL Code(s): C, C2, C25, C3, C36, C4, C41, D, D2, D23, E, E4, E41, E42
Nowcasting Canadian Economic Activity in an Uncertain Environment Staff Discussion Paper 2018-9 Tony Chernis, Rodrigo Sekkel This paper studies short-term forecasting of Canadian real GDP and its expenditure components using combinations of nowcasts from different models. Starting with a medium-sized data set, we use a suite of common nowcasting tools for quarterly real GDP and its expenditure components. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C5, C53, E, E3, E37, E5, E52
A Look Inside the Box: Combining Aggregate and Marginal Distributions to Identify Joint Distributions Staff Working Paper 2018-29 Marie-Hélène Felt This paper proposes a method for estimating the joint distribution of two or more variables when only their marginal distributions and the distribution of their aggregates are observed. Nonparametric identification is achieved by modelling dependence using a latent common-factor structure. Content Type(s): Staff research, Staff working papers Research Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C14, D, D1, D14, E, E4, E41
Bitcoin Awareness and Usage in Canada: An Update Staff Analytical Note 2018-23 Christopher Henry, Kim Huynh, Gradon Nicholls The results of our 2017 Bitcoin Omnibus Survey (December 12 to 15, 2017) when compared with those from 2016 show that Bitcoin “awareness” increased from 64 to 85 per cent, while ownership increased from 2.9 to 5.0 per cent. Most Bitcoin purchasers are using the cryptocurrency as an investment and not as a means of payment for goods or services. Content Type(s): Staff research, Staff analytical notes Research Topic(s): Bank notes, Digital currencies and fintech, Econometric and statistical methods JEL Code(s): C, C1, C12, E, E4
Bootstrapping Mean Squared Errors of Robust Small-Area Estimators: Application to the Method-of-Payments Data Staff Working Paper 2018-28 Valéry Dongmo Jiongo, Pierre Nguimkeu This paper proposes a new bootstrap procedure for mean squared errors of robust small-area estimators. We formally prove the asymptotic validity of the proposed bootstrap method and examine its finite sample performance through Monte Carlo simulations. Content Type(s): Staff research, Staff working papers Research Topic(s): Bank notes, Econometric and statistical methods JEL Code(s): C, C1, C13, C15, C8, C83, E, E4, E41
On the Evolution of the United Kingdom Price Distributions Staff Working Paper 2018-25 Ba M. Chu, Kim Huynh, David T. Jacho-Chávez, Oleksiy Kryvtsov We propose a functional principal components method that accounts for stratified random sample weighting and time dependence in the observations to understand the evolution of distributions of monthly micro-level consumer prices for the United Kingdom (UK). Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Inflation and prices JEL Code(s): C, C1, C14, C8, C83, E, E3, E31, E37