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2977 Results

Identifying Consumer-Welfare Changes when Online Search Platforms Change Their List of Search Results

Staff Working Paper 2020-5 Ryan Martin
Online shopping is often guided by search platforms. Consumers type keywords into query boxes, and search platforms deliver a list of products. Consumers' attention is limited, and exhaustive searches are often impractical.

Optimal Estimation of Multi-Country Gaussian Dynamic Term Structure Models Using Linear Regressions

Staff Working Paper 2017-33 Antonio Diez de los Rios
This paper proposes a novel asymptotic least-squares estimator of multi-country Gaussian dynamic term structure models that is easy to compute and asymptotically efficient, even when the number of countries is relatively large—a situation in which other recently proposed approaches lose their tractability.

Job Ladder and Business Cycles

Staff Working Paper 2022-14 Felipe Alves
During downturns, workers get stuck in low-productivity jobs and wages remain stagnant. I build an heterogenous agent incomplete market model with a full job ladder that accounts for these facts. An adverse financial shock calibrated to the US Great Recession replicates the period’s slow recovery and missing disinflation.

Testing Linear Factor Pricing Models with Large Cross-Sections: A Distribution-Free Approach

Staff Working Paper 2010-36 Sermin Gungor, Richard Luger
We develop a finite-sample procedure to test the beta-pricing representation of linear factor pricing models that is applicable even if the number of test assets is greater than the length of the time series. Our distribution-free framework leaves open the possibility of unknown forms of non-normalities, heteroskedasticity, time-varying correlations, and even outliers in the asset returns.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C12, C14, C3, C33, G, G1, G11, G12

COVID-19 Crisis: Lessons Learned for Future Policy Research

One year later, we review the events that took place in Canadian fixed-income markets at the beginning of the COVID-19 crisis and propose potential policy research questions for future work.

Volatility Forecasting when the Noise Variance Is Time-Varying

Staff Working Paper 2013-48 Selma Chaker, Nour Meddahi
This paper explores the volatility forecasting implications of a model in which the friction in high-frequency prices is related to the true underlying volatility. The contribution of this paper is to propose a framework under which the realized variance may improve volatility forecasting if the noise variance is related to the true return volatility.
Content Type(s): Staff research, Staff working papers Research Topic(s): Econometric and statistical methods, Financial markets JEL Code(s): C, C1, C14, C5, C51, C58
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