Artikel
Jump factor models in large cross-sections
We develop tests for deciding whether a large cross-section of asset prices obey an exact factor structure at the times of factor jumps. Such jump dependence is implied by standard linear factor models. Our inference is based on a panel of asset returns with asymptotically increasing cross-sectional dimension and sampling frequency, and essentially no restriction on the relative magnitude of these two dimensions of the panel. The test is formed from the high-frequency returns at the times when the risk factors are detected to have a jump. The test statistic is a cross-sectional average of a measure of discrepancy in the estimated jump factor loadings of the assets at consecutive jump times. Under the null hypothesis, the discrepancy in the factor loadings is due to a measurement error, which shrinks with the increase of the sampling frequency, while under an alternative of a noisy jump factor model this discrepancy contains also nonvanishing firm-specific shocks. The limit behavior of the test under the null hypothesis is nonstandard and reflects the strong-dependence in the cross-section of returns as well as their heteroskedasticity which is left unspecified. We further develop estimators for assessing the magnitude of firm-specific risk in asset prices at the factor jump events. Empirical application to S&P 100 stocks provides evidence for exact one-factor structure at times of big market-wide jump events.
- Sprache
-
Englisch
- Erschienen in
-
Journal: Quantitative Economics ; ISSN: 1759-7331 ; Volume: 10 ; Year: 2019 ; Issue: 2 ; Pages: 419-456 ; New Haven, CT: The Econometric Society
- Klassifikation
-
Wirtschaft
Model Construction and Estimation
Model Evaluation, Validation, and Selection
Asset Pricing; Trading Volume; Bond Interest Rates
- Thema
-
Factor model
panel
high-frequency data
jumps
semimartingale,specification test
stochastic volatility
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Li, Jia
Todorov, Viktor
Tauchen, George Eugene
- Ereignis
-
Veröffentlichung
- (wer)
-
The Econometric Society
- (wo)
-
New Haven, CT
- (wann)
-
2019
- DOI
-
doi:10.3982/QE1060
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
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Objekttyp
- Artikel
Beteiligte
- Li, Jia
- Todorov, Viktor
- Tauchen, George Eugene
- The Econometric Society
Entstanden
- 2019
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