Showing 1 - 10 of 38
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
-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
, 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
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
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
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
, noncontinuous distributions, and very general serial dependence (linear or nonlinear) including GARCH-type and stochastic volatility …
Persistent link: https://www.econbiz.de/10008855591
- Maximum Likelihood Estimator for a general nonlinear conditional mean model with first-order GARCH errors. …
Persistent link: https://www.econbiz.de/10008800914
, which are robust to weak identification and allow for non-Gaussian distributions including parametric GARCH structures. In …
Persistent link: https://www.econbiz.de/10008835415
We provide results for the valuation of European style contingent claims for a large class of specifications of the underlying asset returns. Our valuation results obtain in a discrete time, infinite state-space setup using the no-arbitrage principle and an equivalent martingale measure. Our...
Persistent link: https://www.econbiz.de/10004976982