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128 Results

Small‐Sample Tests for Stock Return Predictability with Possibly Non‐Stationary Regressors and GARCH‐Type Effects

Staff Working Paper 2017-10 Sermin Gungor, Richard Luger
We develop a simulation-based procedure to test for stock return predictability with multiple regressors. The process governing the regressors is left completely free and the test procedure remains valid in small samples even in the presence of non-normalities and GARCH-type effects in the stock returns.
November 17, 2016

Commodity Price Supercycles: What Are They and What Lies Ahead?

Because commodity prices help determine Canada’s terms of trade, employment, income and, ultimately, inflation, it is important to understand what causes them to fluctuate. Since the early 1900s, there have been four commodity price supercycles—which we define as extended periods of boom and bust that can take decades to complete. Now in its downswing phase, the current supercycle started after growth in China and other emerging-market economies in the mid-1990s resulted in an unexpected demand shock. The extent of this downswing depends on numerous factors that are presently uncertain.

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 Topic(s): Econometric and statistical methods JEL Code(s): C, C1, C14, C5, C57, D, D4, D44, L, L0, L00

Estimating Systematic Risk Under Extremely Adverse Market Conditions

Staff Working Paper 2016-22 Maarten van Oordt, Chen Zhou
This paper considers the problem of estimating a linear model between two heavy-tailed variables if the explanatory variable has an extremely low (or high) value. We propose an estimator for the model coefficient by exploiting the tail dependence between the two variables and prove its asymptotic properties.

Early Warning of Financial Stress Events: A Credit-Regime-Switching Approach

Staff Working Paper 2016-21 Fuchun Li, Hongyu Xiao
We propose an early warning model for predicting the likelihood of a financial stress event for a given future time, and examine whether credit plays an important role in the model as a non-linear propagator of shocks.

Understanding Firms’ Inflation Expectations Using the Bank of Canada’s Business Outlook Survey

Staff Working Paper 2016-7 Simon Richards, Matthieu Verstraete
Inflation expectations are a key determinant of actual and future inflation and thus matter for the conduct of monetary policy. We study how firms form their inflation expectations using quarterly firm-level data from the Bank of Canada’s Business Outlook Survey, spanning the 2001 to 2015 period.

New Housing Registrations as a Leading Indicator of the BC Economy

Staff Discussion Paper 2016-3 Calista Cheung, Dmitry Granovsky
Housing starts and building permits data are commonly used as leading indicators of economic activity. In British Columbia, all new homes must be registered with the Homeowner Protection Office, a branch of BC Housing, before the issuance of building permits and the start of construction.

Debt Overhang and Deleveraging in the US Household Sector: Gauging the Impact on Consumption

Staff Working Paper 2015-47 Bruno Albuquerque, Georgi Krustev
Using a novel dataset for the US states, this paper examines whether household debt and the protracted debt deleveraging help explain the dismal performance of US consumption since 2007, in the aftermath of the housing bubble.

Testing for the Diffusion Matrix in a Continuous-Time Markov Process Model with Applications to the Term Structure of Interest Rates

Staff Working Paper 2015-17 Fuchun Li
The author proposes a test for the parametric specification of each component in the diffusion matrix of a d-dimensional diffusion process. Overall, d (d-1)/2 test statistics are constructed for the off-diagonal components, while d test statistics are constructed for the main diagonal components.
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