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Indirect Estimation of Long Memory Volatility Models

Wilkins, Nigel - Econometric Society - 2004

autoregressive conditional heteroskedasticity (FIGARCH) model and the long memory stochastic volatility (LMSV) model. The small … for higher order parameterised FIGARCH and LMSV models …

Persistent link: https://www.econbiz.de/10005086438

Flexible Seasonal Long Memory and Economic Time Series

Ooms, M. - Erasmus University Rotterdam, Econometric Institute - 1995

We discuss specification, frequency domain estimation and application of flexible fractionally integrated seasonal long memory time series models, which allow for 'chi-squared' (seasonal) unit root testing. We suggest periodogram regression and approximate ML estimation. We successfully apply a...

Persistent link: https://www.econbiz.de/10004972223

Convergence and Persistence of Left-Right Political Orientations in The Netherlands 1978-1995

Eisinga, R.; Franses, Ph.H.B.F.; Ooms, M. - Erasmus University Rotterdam, Econometric Institute - 1997

-Theory- Two theories about trends in left-right political orientations are juxtaposed: the persistence theory claiming that left-right orientations are highly resistant to change versus the irrelevance theory anticipating a move of mass publics towards the center of the left-right continuum....

Persistent link: https://www.econbiz.de/10004972274

Autoregression-Based Estimators for ARFIMA Models

Galbraith, John; Zinde-Walsh, Victoria - Centre Interuniversitaire de Recherche en Analyse des … - 2001

This paper describes a parameter estimation method for both stationary and non-stationary ARFIMA (p,d,q) models, based on autoregressive approximation. We demonstrate consistency of the estimator for -1/2 d 1, and in the stationary case we provide a Normal approximation to the finite-sample...

Persistent link: https://www.econbiz.de/10005100960

A nonlinear long memory model for US unemployment

Dijk, D.J.C. van; Franses, Ph.H.B.F.; Paap, R. - Erasmus University Rotterdam, Econometric Institute - 2000

Two important empirical features of monthly US unemployment are that shocks to the series seem rather persistent and that unemployment seems to rise faster in recessions than that it falls during expansions. To jointly capture these features of long memory and nonlinearity, respectively, we put...

Persistent link: https://www.econbiz.de/10005505011

Fractional Output Convergence, with an Application to Nine Developed Countries

Beyaert, Arielle - Econometric Society - 2004

We argue that cross-country convergence of output per capita should be examined in a fractional-integration time-series context and we propose a new empirical strategy to test it, which is the first one that discriminates between fractional long-run convergence and fractional catching-up. The...

Persistent link: https://www.econbiz.de/10005702532

Modelling Long Memory Volatility in Agricultural Commodity Futures Returns

Tansuchat, R.; Chang, C-L.; McAleer, M.J. - Erasmus University Rotterdam, Econometric Institute - 2009

, coffee, cotton, orange juice, Kansas City wheat, rubber, and palm oil. The class of fractional GARCH models, namely the … FIGARCH model of Baillie et al. (1996), FIEGACH model of Bollerslev and Mikkelsen (1996), and FIAPARCH model of Tse (1998 …), are modelled and compared with the GARCH model of Bollerslev (1986), EGARCH model of Nelson (1991), and APARCH model of …

Persistent link: https://www.econbiz.de/10008570627

Ten Things We Should Know About Time Series

McAleer, M.J.; Oxley, L. - Erasmus University Rotterdam, Econometric Institute - 2010

Time series data affect many aspects of our lives. This paper highlights ten things we should all know about time series, namely: a good working knowledge of econometrics and statistics, an awareness of measurement errors, testing for zero frequency, seasonal and periodic unit roots, analysing...

Persistent link: https://www.econbiz.de/10008484072

Cross Section Vs Time Series Measures of Uncertainty: Using UK Survey Data

Driver, Ciaran; Trapani, Lorenzo - Econometric Society - 2004

three ways: by cross-section dispersion of optimism expectations, by a GARCH series based on the optimism data and by an …

Persistent link: https://www.econbiz.de/10005342212

Extremal Correlation for GARCH Data

Quintos, Carmela - Econometric Society - 2004

This paper introduces a nonparametric estimator for tail dependence in the constant conditional correlation GARCH … difference between the distribution of the tail dependence estimator under the iid and GARCH case is a scaling variance. Without …

Persistent link: https://www.econbiz.de/10005342216