Results 11 to 20 of about 647,700 (302)

Are there Structural Breaks in Realized Volatility? [PDF]

open access: yesJournal of Financial Econometrics, 2008
Constructed from high-frequency data, realized volatility (RV) provides an efficient estimate of the unobserved volatility of financial markets. This paper uses a Bayesian approach to investigate the evidence for structural breaks in reduced form time ...
Chun Liu, John M Maheu
core   +4 more sources

The KPSS Test with Two Structural Breaks [PDF]

open access: yesSpanish Economic Review, 2006
In this paper we generalize the KPSS-type test to allow for two structural breaks. Seven models have been de?ned depending on the way that the structural breaks a¤ect the time series behaviour.
Andreu Sansó   +1 more
core   +3 more sources

Structural breaks, cointegration and the Fisher effect [PDF]

open access: yesSSRN Electronic Journal, 2009
There is scant empirical support in the literature for the Fisher effect in the long run, though it is often assumed in theoretical models. We argue that a break in the cointegrating relation introduces a spurious unit root that leads to a rejection of ...
Beyer, Andreas   +2 more
core   +5 more sources

The Equity Premium And Structural Breaks [PDF]

open access: yesSSRN Electronic Journal, 1998
A long return history is useful in estimating the current equity premium even if the historical distribution has experienced structural breaks. The long series helps not only if the timing of breaks is uncertain but also if one believes that large shifts in the premium are unlikely or that the premium is associated, in part, with volatility.
Pastor, Lubos, Stambaugh, Robert F
openaire   +4 more sources

The structure of GUT breaking by orbifolding [PDF]

open access: yesNuclear Physics B, 2002
Latex, 23 pages, version to be published in Nucl.Phys ...
Hebecker, A, March-Russell, J
openaire   +4 more sources

Learning, forecasting and structural breaks [PDF]

open access: yesJournal of Applied Econometrics, 2008
AbstractWe provide a general methodology for forecasting in the presence of structural breaks induced by unpredictable changes to model parameters. Bayesian methods of learning and model comparison are used to derive a predictive density that takes into account the possibility that a break will occur before the next observation.
John M Maheu, Stephen Gordon
openaire   +3 more sources

Nonparametric inference on structural breaks [PDF]

open access: yesJournal of Econometrics, 2000
This paper proposes estimators of location and size of structural breaks in a, possibly dynamic, nonparametric regression model. The structural breaks can be located at given periods of time and/or they can be explained by the values taken by some regressor, as in threshold models. No previous knowledge of the underlying regression function is required.
Delgado, Miguel A., Hidalgo, Javier
openaire   +2 more sources

Scalable structural break detection [PDF]

open access: yesApplied Soft Computing, 2012
This paper deals with a statistical model fitting procedure for non-stationary time series. This procedure selects the parameters of a piecewise autoregressive model using the Minimum Description Length principle. The existing chromosome representation of the piecewise autoregressive model and its corresponding optimisation algorithm are improved ...
Elteto, Tamas   +3 more
openaire   +4 more sources

Structure and dynamics of breaking foams [PDF]

open access: yesPhysical Review E, 1995
Experimental results are presented for the relaxation of a two dimensional soap foam in which wall breakage is initiated through gentle warming of the foam cell. Significantly different phenomenology from the relaxation of nonbreaking foams is observed.
Burnett, G.D.   +4 more
openaire   +2 more sources

Partial Structural Break Identification [PDF]

open access: yesOxford Bulletin of Economics and Statistics, 2017
AbstractWe propose an extension of the existing information criterion‐based structural break identification approaches. The extended approach helps identify both pure structural change (break) and partial structural change (break). A pure structural change refers to the case when breaks occur simultaneously in all parameters of regression equation ...
Han, C., Taamouti, A.
openaire   +3 more sources

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