Arbeitspapier
Testing for an omitted multiplicative long-term component in GARCH models
We consider the problem of testing for an omitted multiplicative long-term component in GARCH-type models. Under the alternative there is a two-component model with a short-term GARCH component that fluctuates around a smoothly time-varying long-term component which is driven by the dynamics of an explanatory variable. We suggest a Lagrange Multiplier statistic for testing the null hypothesis that the variable has no explanatory power. We derive the asymptotic theory for our test statistic and investigate its finite sample properties by Monte-Carlo simulation. Our test also covers the mixed-frequency case in which the returns are observed at a higher frequency than the explanatory variable. The usefulness of our procedure is illustrated by empirical applications to S&P 500 return data.
- Sprache
-
Englisch
- Erschienen in
-
Series: KIT Working Paper Series in Economics ; No. 121
- Klassifikation
-
Wirtschaft
Forecasting Models; Simulation Methods
Financial Econometrics
Business Fluctuations; Cycles
Asset Pricing; Trading Volume; Bond Interest Rates
- Thema
-
GARCH-MIDAS
LM test
Long-Term Volatility
Mixed-Frequency Data
Volatility Component Models
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Conrad, Christian
Schienle, Melanie
- Ereignis
-
Veröffentlichung
- (wer)
-
Karlsruher Institut für Technologie (KIT), Institut für Volkswirtschaftslehre (ECON)
- (wo)
-
Karlsruhe
- (wann)
-
2019
- DOI
-
doi:10.5445/IR/1000090371
- Handle
- URN
-
urn:nbn:de:swb:90-903712
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Conrad, Christian
- Schienle, Melanie
- Karlsruher Institut für Technologie (KIT), Institut für Volkswirtschaftslehre (ECON)
Entstanden
- 2019
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