Intrinsic Liquidity in Conditional Volatility Models

Author(s):  
Serge Darolles ◽  
Gaëlle Le Fol ◽  
Christian Francq ◽  
Jean-Michel Zakoïan
2009 ◽  
Vol 15 (3) ◽  
pp. 481-500 ◽  
Author(s):  
Ana Bartolomé ◽  
Michael McAleer ◽  
Vicente Ramos ◽  
Javier Rey-Maquieira

This paper models daily air passenger arrivals and their volatility for the Balearic and Canary Islands, Spain. Due to climatic conditions, tourism seasonality is clear in the Balearics, with an increasing number of arrivals during the winter months. In the Canary Islands, the seasonal pattern is different, with decreasing numbers in recent years. Three univariate conditional volatility models are estimated for both the Balearics and the Canaries, concentrating on empirical issues relating to short- and long-run persistence, as well as the symmetric and asymmetric effects of positive and negative shocks of equal magnitude on volatility.


2014 ◽  
Vol 31 (4) ◽  
pp. 671-702 ◽  
Author(s):  
Bonsoo Koo ◽  
Oliver Linton

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.


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