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In this paper, we propose a new approach to constructing confidence sets for the timing of structural breaks. This approach involves using Markov-chain Monte Carlo methods to simulate marginal “fiducial” distributions of break dates from the likelihood function. We compare our proposed...
Persistent link: https://www.econbiz.de/10005619602
The purpose of this paper is to introduce and examine two alternative, although similar, approaches to the Moving Blocks and subsampling Bootstraps to bootstrapping the estimator of the parameters for time series regression models. More specifically, the first bootstrap is based on resampling...
Persistent link: https://www.econbiz.de/10010745602
The purpose of this paper is to investigate the tests of Hansen (1991) to detect structural breaks in cointegrated relations using Monte Carlo methods. The evaluation takes place within the linear quadratic model. The evidence for a single regressor suggests that the test have proper size and...
Persistent link: https://www.econbiz.de/10011940489
Time series subject to parameter shifts of random magnitude and timing are commonly modeled with a change-point approach using Chib's (1998) algorithm to draw the break dates. We outline some advantages of an alternative approach in which breaks come through mixture distributions in state...
Persistent link: https://www.econbiz.de/10010320792
Leybourne et al. (1998) have proved the possibility of a `converse Perron phenomenon' when conventional Dickey-Fuller tests are applied to deter-mine the order of integration of a time series. That is, if the true generating process is I(1) but with a break, frequent spurious rejections of the...
Persistent link: https://www.econbiz.de/10010282680
We present an algorithm, based on a differential evolution MCMC method, for Bayesian inference in AR-GARCH models subject to an unknown number of structural breaks at unknown dates. Break dates are directly treated as parameters and the number of breaks is determined by the marginal likelihood...
Persistent link: https://www.econbiz.de/10010927663
Leybourne et al. (1998) have proved the possibility of a “converse Perron phenomenon” when conventional Dickey-Fuller tests are applied to determine the order of integration of a time series. That is, if the true generating process is I(1) but with a break, frequent spurious rejections of...
Persistent link: https://www.econbiz.de/10008599411
We test for real interest parity (RIP) in the EU25 area. Our contribution is two-fold: First, we account for the previously overlooked effects of structural breaks on real interest rate differentials. Second, we test for RIP against the EMU average. For the majority of our sample countries we...
Persistent link: https://www.econbiz.de/10005002713
We test the real interest rate parity hypothesis using data for the G7 countries over the period 1970-2008. Our contribution is two-fold. First, we utilize the ARDL bounds approach of Pesaran et al. (2001) which allows us to overcome uncertainty about the order of integration of real interest...
Persistent link: https://www.econbiz.de/10005012847
This paper presents a new model of stochastic volatility which allows for infrequent shifts in the mean of volatility, known as structural breaks. These are endogenously driven from large innovations in stock returns arriving in the market. The model has a number of interesting properties. Among...
Persistent link: https://www.econbiz.de/10005106449