LET’S GET LADE: ROBUST ESTIMATION OF SEMIPARAMETRIC MULTIPLICATIVE VOLATILITY MODELS

Bonsoo Koo and Oliver Linton

Econometric Theory, 2015, vol. 31, issue 4, 671-702

Abstract: We investigate a model in which we connect slowly time varying unconditional long-run volatility with short-run conditional volatility whose representation is given as a semi-strong GARCH(1,1) process with heavy tailed errors. We focus on robust estimation of both long-run and short-run volatilities. Our estimation is semiparametric since the long-run volatility is totally unspecified whereas the short-run conditional volatility is a parametric semi-strong GARCH(1,1) process. We propose different robust estimation methods for nonstationary and strictly stationary GARCH parameters with nonparametric long-run volatility function. Our estimation is based on a two-step LAD procedure. We establish the relevant asymptotic theory of the proposed estimators. Numerical results lend support to our theoretical results.

Date: 2015
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Citations: View citations in EconPapers (4)

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Related works:
Working Paper: Let's get LADE: robust estimation of semiparametric multiplicative volatility models (2013)
Working Paper: Let's get LADE: robust estimation of semiparametric multiplicative volatility models (2013)
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Persistent link: https://EconPapers.repec.org/RePEc:cup:etheor:v:31:y:2015:i:04:p:671-702_00

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