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344 Results

Do Survey Expectations of Stock Returns Reflect Risk Adjustments?

Staff Working Paper 2019-11 Klaus Adam, Dmitry Matveev, Stefan Nagel
Motivated by the observation that survey expectations of stock returns are inconsistent with rational return expectations under real-world probabilities, we investigate whether alternative expectations hypotheses entertained in the literature on asset pricing are consistent with the survey evidence.

The Distributional Effects of Conventional Monetary Policy and Quantitative Easing: Evidence from an Estimated DSGE Model

Staff Working Paper 2019-6 Stefan Hohberger, Romanos Priftis, Lukas Vogel
This paper compares the distributional effects of conventional monetary policy and quantitative easing (QE) within an estimated open-economy DSGE model of the euro area.

The Role of Corporate Saving over the Business Cycle: Shock Absorber or Amplifier?

Staff Working Paper 2018-59 Xiaodan Gao, Shaofeng Xu
We document countercyclical corporate saving behavior with the degree of countercyclicality varying nonmonotonically with firm size. We then develop a dynamic stochastic general equilibrium model with heterogeneous firms to explain the pattern and study its implications for business cycles.

Fundamental Drivers of Existing Home Sales in Canada

Staff Discussion Paper 2018-16 Taylor Webley
Existing home sales’ share of Canada’s economic pie has been rising in recent years, and variation around this trend has resulted in outsized contributions to changes in real gross domestic product (GDP). In this context, we use a cointegration framework to estimate the level of resale activity across the Canadian provinces that is supported by fundamentals—namely, full-time employment, housing affordability and migration flows—to help look through the volatility.

An Alternative Estimate of Canadian Potential Output: The Multivariate State-Space Framework

Staff Discussion Paper 2018-14 Lise Pichette, Maria Bernier, Marie-Noëlle Robitaille
In this paper, we extend the state-space methodology proposed by Blagrave et al. (2015) and decompose Canadian potential output into trend labour productivity and trend labour input. As in Blagrave et al. (2015), we include output growth and inflation expectations from consensus forecasts to help refine our estimates.
Content Type(s): Staff research, Staff discussion papers Topic(s): Economic models, Potential output JEL Code(s): C, C5, E, E0, E5

The Framework for Risk Identification and Assessment

Technical Report No. 113 Cameron MacDonald, Virginie Traclet
Risk assessment models are an important component of the Bank’s analytical tool kit for assessing the resilience of the financial system. We describe the Framework for Risk Identification and Assessment (FRIDA), a suite of models developed at the Bank of Canada to quantify the impact of financial stability risks to the broader economy and a range of financial system participants (households, businesses and banks).
Content Type(s): Staff research, Technical reports Topic(s): Economic models, Financial institutions, Financial stability, Housing JEL Code(s): C, C3, C5, C6, C7, D, D1, E, E0, E00, E2, E27, E3, E37, E4, E47, G, G0, G2, G21

Evaluating the Bank of Canada Staff Economic Projections Using a New Database of Real-Time Data and Forecasts

We present a novel database of real-time data and forecasts from the Bank of Canada’s staff economic projections. We then provide a forecast evaluation for GDP growth and CPI inflation since 1982: we compare the staff forecasts with those from commonly used time-series models estimated with real-time data and with forecasts from other professional forecasters and provide standard bias tests.
October 16, 2018

Navigating digital disruption and the economy

Technology can enhance efficiency and help create new jobs, but challenges like automation's impact on employment also need careful consideration and proactive solutions.

Blockchain-Based Settlement for Asset Trading

Staff Working Paper 2018-45 Jonathan Chiu, Thorsten Koeppl
Can securities be settled on a blockchain and, if so, what are the gains relative to existing settlement systems? We consider a blockchain that ensures delivery versus payment by linking transfers of assets with payments and operates using a proof-of-work protocol. The main benefit of a blockchain is faster and more flexible settlement, whereas the challenge is to avoid settlement fails when participants fork the chain to get rid of trading losses.
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