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 Research Topic(s): Econometric and statistical methods, Recent economic and financial developments JEL Code(s): C, C5, C51, Q, Q0, Q02
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 Research 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
A Three‐Frequency Dynamic Factor Model for Nowcasting Canadian Provincial GDP Growth Staff Discussion Paper 2017-8 Tony Chernis, Gabriella Velasco, Calista Cheung This paper estimates a three‐frequency dynamic factor model for nowcasting Canadian provincial gross domestic product (GDP). Canadian provincial GDP is released by Statistics Canada on an annual basis only, with a significant lag (11 months). Content Type(s): Staff research, Staff discussion papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods, Regional economic developments JEL Code(s): C, C5, C53, E, E3, E32, E37, R, R1, R11
Assessing the Predictive Ability of Sovereign Default Risk on Exchange Rate Returns Staff Working Paper 2017-19 Claudia Foroni, Francesco Ravazzolo, Barbara Sadaba Increased sovereign credit risk is often associated with sharp currency movements. Therefore, expectations of the probability of a sovereign default event can convey important information regarding future movements of exchange rates. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Exchange rates, International financial markets JEL Code(s): C, C2, C22, C5, C52, C53, F, F3, F31
Markov‐Switching Three‐Pass Regression Filter Staff Working Paper 2017-13 Pierre Guérin, Danilo Leiva-Leon, Massimiliano Marcellino We introduce a new approach for the estimation of high-dimensional factor models with regime-switching factor loadings by extending the linear three-pass regression filter to settings where parameters can vary according to Markov processes. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C2, C22, C23, C5, C53
Assessing the Business Outlook Survey Indicator Using Real-Time Data Staff Discussion Paper 2017-5 Lise Pichette, Marie-Noëlle Robitaille Every quarter, the Bank of Canada conducts quarterly consultations with businesses across Canada, referred to as the Business Outlook Survey (BOS). A principal-component analysis conducted by Pichette and Rennison (2011) led to the development of the BOS indicator, which summarizes survey results and is used by the Bank as a gauge of overall business sentiment. Content Type(s): Staff research, Staff discussion papers Research Topic(s): Business fluctuations and cycles, Regional economic developments JEL Code(s): C, C5, C53, C8, C82, E, E3, E37
A Dynamic Factor Model for Nowcasting Canadian GDP Growth Staff Working Paper 2017-2 Tony Chernis, Rodrigo Sekkel This paper estimates a dynamic factor model (DFM) for nowcasting Canadian gross domestic product. The model is estimated with a mix of soft and hard indicators, and it features a high share of international data. Content Type(s): Staff research, Staff working papers Research Topic(s): Business fluctuations and cycles, Econometric and statistical methods JEL Code(s): C, C3, C32, C38, C5, C53, E, E3, E37
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 Research Topic(s): Econometric and statistical methods, Financial stability, Payment clearing and settlement systems JEL Code(s): C, C5, C58, G, G2, G21, G23
Identification and Estimation of Risk Aversion in First-Price Auctions with Unobserved Auction Heterogeneity Staff Working Paper 2016-23 Serafin Grundl, Yu Zhu This paper shows point identification in first-price auction models with risk aversion and unobserved auction heterogeneity by exploiting multiple bids from each auction and variation in the number of bidders. The required exclusion restriction is shown to be consistent with a large class of entry models. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C14, C5, C57, D, D4, D44, L, L0, L00
A General Approach to Recovering Market Expectations from Futures Prices with an Application to Crude Oil Staff Working Paper 2016-18 Christiane Baumeister, Lutz Kilian Futures markets are a potentially valuable source of information about price expectations. Exploiting this information has proved difficult in practice, because time-varying risk premia often render the futures price a poor measure of the market expectation of the price of the underlying asset. Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C53, D, D8, D84, G, G1, G14, Q, Q4, Q43