Testing for an omitted multiplicative long-term component in GARCH models

Arbeitspapier

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.

Object Details

• Language: Englisch

References and Relationships

• Bibliographic citation: Series: KIT Working Paper Series in Economics ; No. 121

Classification and Topics

• Classification: Wirtschaft ; Forecasting Models; Simulation Methods ; Financial Econometrics ; Business Fluctuations; Cycles ; Asset Pricing; Trading Volume; Bond Interest Rates
• Subject: GARCH-MIDAS ; LM test ; Long-Term Volatility ; Mixed-Frequency Data ; Volatility Component Models

Contributors, Places and Time

• Event: Geistige Schöpfung
• (who): Conrad, Christian ; Schienle, Melanie
• Event: Veröffentlichung
• (who): Karlsruher Institut für Technologie (KIT), Institut für Volkswirtschaftslehre (ECON)
• (where): Karlsruhe
• (when): 2019

Further information

• DOI: doi:10.5445/IR/1000090371
• Handle: http://hdl.handle.net/10419/191545
• URN: urn:nbn:de:swb:90-903712
• Last update: 10.03.2025, 11:44 AM CET