Outputs (37)

Testing for a unit root against ESTAR stationarity (2017)
Journal Article
Harvey, D. I., Leybourne, S. J., & Whitehouse, E. J. (2018). Testing for a unit root against ESTAR stationarity. Studies in Nonlinear Dynamics and Econometrics, 22(1), https://doi.org/10.1515/snde-2016-0076

In this paper we examine the local power of unit root tests against globally stationary exponential smooth transition autoregressive [ESTAR] alternatives under two sources of uncertainty: the degree of nonlinearity in the ESTAR model, and the presenc... Read More about Testing for a unit root against ESTAR stationarity.

Forecast evaluation tests and negative long-run variance estimates in small samples (2017)
Journal Article
Harvey, D. I., Leybourne, S. J., & Whitehouse, E. J. (2017). Forecast evaluation tests and negative long-run variance estimates in small samples. International Journal of Forecasting, 33(4), https://doi.org/10.1016/j.ijforecast.2017.05.001

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... Read More about Forecast evaluation tests and negative long-run variance estimates in small samples.

Tests for an end-of-sample bubble in financial time series (2017)
Journal Article
Astill, S., Harvey, D. I., Leybourne, S. J., & Taylor, R. (in press). Tests for an end-of-sample bubble in financial time series. Econometric Reviews, 36(6-9), https://doi.org/10.1080/07474938.2017.1307490

In this paper we examine the issue of detecting explosive behaviour in economic and financial time series when an explosive episode is both ongoing at the end of the sample, and of finite length. We propose a testing strategy based on the sub-samplin... Read More about Tests for an end-of-sample bubble in financial time series.

Improving the accuracy of asset price bubble start and end date estimators (2016)
Journal Article
Harvey, D. I., Leybourne, S. J., & Sollis, R. (in press). Improving the accuracy of asset price bubble start and end date estimators. Journal of Empirical Finance, 40, https://doi.org/10.1016/j.jempfin.2016.11.001

Recent research has proposed using recursive right-tailed unit root tests to date the start and end of asset price bubbles. In this paper an alternative approach is proposed that utilises model-based minimum sum of squared residuals estimators combin... Read More about Improving the accuracy of asset price bubble start and end date estimators.

Long-run commodity prices, economic growth and interest rates: 17th century to the present day (2016)
Journal Article
Harvey, D. I., Kellard, N. M., Madsen, J. B., & Wohar, M. E. (in press). Long-run commodity prices, economic growth and interest rates: 17th century to the present day. World Development, 89, https://doi.org/10.1016/j.worlddev.2016.07.012

A significant proportion of the trade basket of many developing countries is comprised of primary commodities. This implies relative price movements in commodities may have important consequences for economic growth and poverty reduction. Taking a lo... Read More about Long-run commodity prices, economic growth and interest rates: 17th century to the present day.

Improving the length of confidence sets for the date of a break in level and trend when the order of integration is unknown (2016)
Journal Article
Harvey, D. I., & Leybourne, S. J. (in press). Improving the length of confidence sets for the date of a break in level and trend when the order of integration is unknown. Economics Letters, 145, https://doi.org/10.1016/j.econlet.2016.06.015

Harvey and Leybourne (2015) construct confidence sets for the timing of a break in level and/or trend, based on inverting sequences of test statistics for a break at all possible dates. These are valid, in the sense of yielding correct asymptotic cov... Read More about Improving the length of confidence sets for the date of a break in level and trend when the order of integration is unknown.

The impact of the initial condition on covariate augmented unit root tests (2016)
Journal Article
Aristidou, C., Harvey, D. I., & Leybourne, S. J. (2016). The impact of the initial condition on covariate augmented unit root tests. Journal of Time Series Econometrics, 9(1), https://doi.org/10.1515/jtse-2015-0013

We examine the behaviour of OLS-demeaned/detrended and GLS-demeaned/detrended unit root tests that employ stationary covariates, as proposed by Hansen (1995, “Rethinking the Univariate Approach to Unit Root Testing.” Econometric Theory 11:1148–71) an... Read More about The impact of the initial condition on covariate augmented unit root tests.

Tests for explosive financial bubbles in the presence of non-stationary volatility (2015)
Journal Article
Harvey, D. I., Leybourne, S. J., Sollis, R., & Taylor, A. R. (in press). Tests for explosive financial bubbles in the presence of non-stationary volatility. Journal of Empirical Finance, 38(B), https://doi.org/10.1016/j.jempfin.2015.09.002

This paper studies the impact of permanent volatility shifts in the innovation process on the performance of the test for explosive financial bubbles based on recursive right-tailed Dickey–Fuller-type unit root tests proposed by Phillips, Wu and Yu (... Read More about Tests for explosive financial bubbles in the presence of non-stationary volatility.

Testing for unit roots under multiple possible trend breaks and non-stationary volatility using bootstrap minimum Dickey-Fuller statistics (2015)
Journal Article
Cavaliere, G., Harvey, D. I., Leybourne, S. J., & Robert Taylor, A. (2015). Testing for unit roots under multiple possible trend breaks and non-stationary volatility using bootstrap minimum Dickey-Fuller statistics. Journal of Time Series Analysis, 36(5), https://doi.org/10.1111/jtsa.12067

In a recent paper, Harvey et al. (2013) [HLT] propose a new unit root test that allows for the possibility of multiple breaks in trend. Their proposed test is based on the infimum of the sequence (across all candidate break points) of local GLS detre... Read More about Testing for unit roots under multiple possible trend breaks and non-stationary volatility using bootstrap minimum Dickey-Fuller statistics.

Confidence sets for the date of a break in level and trend when the order of integration is unknown (2015)
Journal Article
Harvey, D. I., & Leybourne, S. J. (2015). Confidence sets for the date of a break in level and trend when the order of integration is unknown. Journal of Econometrics, 184(2), https://doi.org/10.1016/j.jeconom.2014.09.004

We propose methods for constructing confidence sets for the timing of a break in level and/or trend that have asymptotically correct coverage for both I(0) and I(1) processes. These are based on inverting a sequence of tests for the break location, e... Read More about Confidence sets for the date of a break in level and trend when the order of integration is unknown.