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735 Results

'Lean' versus 'Rich' Data Sets: Forecasting during the Great Moderation and the Great Recession

Staff Working Paper 2010-37 Marco J. Lombardi, Philipp Maier
We evaluate forecasts for the euro area in data-rich and ‘data-lean' environments by comparing three different approaches: a simple PMI model based on Purchasing Managers' Indices (PMIs), a dynamic factor model with euro area data, and a dynamic factor model with data from the euro plus data from national economies (pseudo-real time data).
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, International topics JEL Code(s): C, C5, C50, C53, E, E3, E37, E4, E47
May 16, 2013

Bank of Canada Review - Spring 2013

This issue includes analysis of the unconventional monetary policies recently implemented by central banks, and also presents Bank research in two areas - the migration of labour between economic regions in Canada, and the asset-allocation and funding decisions for Canada’s foreign exchange reserves.

The New Basel Capital Accord and the Cyclical Behaviour of Bank Capital

Staff Working Paper 2004-30 Mark Illing, Graydon Paulin
The authors conduct a counterfactual simulation of the proposed rules under the new Basel Capital Accord (Basel II), including the revised treatment of expected and unexpected credit losses proposed by the Basel Committee in October 2003.
Content Type(s): Staff research, Staff working papers Research Topic(s): Financial institutions JEL Code(s): G, G2, G21, G28, K, K2, K23

Cash, COVID-19 and the Prospects for a Canadian Digital Dollar

Staff Discussion Paper 2022-17 Walter Engert, Kim Huynh
We provide an analysis of cash trends in Canada before and during the COVID-19 pandemic. We also consider the potential two scenarios for issuance of a central bank digital currency in Canada: the emergence of a cashless society or the widespread use of an alternative digital currency in Canada. Finally, we discuss the Canadian experience in maintaining cash as an efficient and accessible method of payment and store of value.

Digitalization: Labour Markets

Staff Discussion Paper 2023-16 Alex Chernoff, Gabriela Galassi
In this paper, the authors assess the relationship between digitalization and labour demand and supply, and how this relationship affects wages and income inequality. We also explore implications of recent digitalization trends for the future of work.
Content Type(s): Staff research, Staff discussion papers Research Topic(s): Digitalization, Labour markets JEL Code(s): I, I2, I23, J, J2, J23, J24, O, O3, O33

Large-Scale Asset Purchases: Impact on Commodity Prices and International Spillover Effects

Staff Working Paper 2015-21 Sharon Kozicki, Lena Suchanek, Eric Santor
Prices of commodities, including metals, energy and agricultural products, rose markedly over the 2009–2010 period. Some observers have attributed a significant part of this increase in commodity prices to the U.S. Federal Reserve’s large-scale asset purchase (LSAP) programs.
Content Type(s): Staff working papers Research Topic(s): International topics JEL Code(s): E, E5, E58, G, G1, G14, Q, Q0, Q00
February 17, 2011

Bank of Canada Review - Winter 2010-2011

Bank of Canada Review - Winter 2010-2011
This issue features a summary of the Bank’s annual conference, which this year dealt with financial globalization, and three articles that present research by Bank staff on Canada’s mortgage market, the role of adverse selection in financial crises, and payment networks.

Risk Premium, Variance Premium and the Maturity Structure of Uncertainty

Expected returns vary when investors face time-varying investment opportunities. Long-run risk models (Bansal and Yaron 2004) and no-arbitrage affine models (Duffie, Pan, and Singleton 2000) emphasize sources of risk that are not observable to the econometrician.
Content Type(s): Staff research, Staff working papers Research Topic(s): Asset pricing, Financial services JEL Code(s): G, G1, G12, G13

Financial Shocks and the Output Growth Distribution

This paper studies how financial shocks shape the distribution of output growth by introducing a quantile-augmented vector autoregression (QAVAR), which integrates quantile regressions into a structural VAR framework. The QAVAR preserves standard shock identification while delivering flexible, nonparametric forecasts of conditional moments and tail risk measures for gross domestic product.
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