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Robust Estimation of Conditional Factor Models

Qihui Chen

arXiv 2 Apr 2022 · Econometrics

arXiv:2204.00801 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper develops estimation and inference methods for conditional quantile factor models. We first introduce a simple sieve estimation, and establish asymptotic properties of the estimators under large $N$. We then provide a bootstrap procedure for estimating the distributions of the estimators. We also provide two consistent estimators for the number of factors. The methods allow us not only to estimate conditional factor structures of distributions of asset returns utilizing characteristics, but also to conduct robust inference in conditional factor models, which enables us to analyze the cross section of asset returns with heavy tails. We apply the methods to analyze the cross section of individual US stock returns.

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34
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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Chen, Q., N. Roussanov, and X. Wang (2021) b): Semiparametric Conditional Factor Models: Estimation and Inference, Tech self0.96510590%
2Connor, G., M. Hagmann, and O. Linton (2012) Efficient semiparametric estimation of the Fama–French model and extensions0.81142100%
3Fama, E. F. and K. R. French (1993) Common risk factors in the returns on stocks and bonds0.73732100%
4Kelly, B. T., S. Pruitt, and Y. Su (2019) Characteristics are covariances: A unified model of risk and return0.73732100%
5Rosenberg, B. and W. McKibben (1973) The prediction of systematic and specific risk in common stocks0.73732100%
6Ang, A., R. J. Hodrick, Y. Xing, and X. Zhang (2006) The cross‐section of volatility and expected returns0.64422100%
7Bai, J. and S. Ng (2002) Determining the Number of Factors in Approximate Factor Models0.64422100%
8Chamberlain, G. and M. Rothschild (1982) Arbitrage, factor structure, and mean-variance analysis on large asset markets0.64422100%
9Chen, L., J. Dolado, and J. Gonzalo (2021) a): Quantile factor models0.64422100%
10Daniel, K. and S. Titman (1997) Evidence on the characteristics of cross sectional variation in stock returns0.64422100%

Showing the top 10 of 37 scored citations.