Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Stephen J. Leybourne"'
Publikováno v:
Journal of Business & Economic Statistics. :1-26
Publikováno v:
Oxford Bulletin of Economics and Statistics. 85:482-513
Publikováno v:
Oxford Bulletin of Economics and Statistics. 84:624-650
Publikováno v:
Journal of Applied Econometrics. 36:45-70
We propose new real-time monitoring procedures for the emergence of end-of-sample predictive regimes using sequential implementations of standard (heteroskedasticity-robust) regression t-statistics for predictability applied over relatively short tim
Publikováno v:
Journal of Empirical Finance. 58:226-246
Identifying the start and end dates of explosive bubble regimes has become a prominent issue in the econometric literature. Recent research has demonstrated the advantage of a model-based minimum sum of squared residuals estimator, combined with Baye
Publikováno v:
Econometric Theory. 36:122-169
This article considers the problem of testing for an explosive bubble in financial data in the presence of time-varying volatility. We propose a sign-based variant of the Phillips, Shi, and Yu (2015, International Economic Review 56, 1043–1077) tes
We generalize the Homm and Breitung (2012) CUSUM-based procedure for the real-time detection of explosive autoregressive episodes in financial price data to allow for time-varying volatility. Such behavior can heavily inflate the false positive rate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ce1722e4cf18d28dde57c8c2c258994
Publikováno v:
Journal of Time Series Analysis. 39:863-891
We propose new methods for the real-time detection of explosive bubbles in financial time series. Most extant methods are constructed for a fixed sample of data and, as such, are only appropriate when applied as one-shot tests. Sequential application
Publikováno v:
Journal of Econometrics. 204:101-118
We consider tests for structural change, based on the SupF and Cramer-von-Mises type statistics of Andrews (1993) and Nyblom (1989), respectively, in the slope and/or intercept parameters of a predictive regression model where the predictors display
Publikováno v:
International Journal of Forecasting. 33:833-847
In this paper, we show that when computing standard Diebold-Mariano-type tests for equal forecast accuracy and forecast encompassing, the long-run variance can frequently be negative when dealing with multi-step-ahead predictions in small, but empiri