All Outputs (33)

Tests for equal forecast accuracy under heteroskedasticity (2024)
Journal Article

Heteroskedasticity is a common feature in empirical time series analysis, and in this paper, we consider the effects of heteroskedasticity on statistical tests for equal forecast accuracy. In such a context, we propose two new Diebold–Mariano-type te... Read More about Tests for equal forecast accuracy under heteroskedasticity.

Improved tests for stock return predictability (2023)
Journal Article

Predictive regression methods are widely used to examine the predictability of (excess) stock returns by lagged financial variables characterized by unknown degrees of persistence and endogeneity. We develop a new hybrid test for predictability in th... Read More about Improved tests for stock return predictability.

Bonferroni Type Tests for Return Predictability and the Initial Condition (2023)
Journal Article

We develop tests for predictability that are robust to both the magnitude of the initial condition and the degree of persistence of the predictor. While the popular Bonferroni Q test of Campbell and Yogo displays excellent power properties for strong... Read More about Bonferroni Type Tests for Return Predictability and the Initial Condition.

Real-Time Monitoring of Bubbles and Crashes (2023)
Journal Article

Given the financial and economic damage that can be caused by the collapse of an asset price bubble, it is of critical importance to rapidly detect the onset of a crash once a bubble has been identified. We develop a real-time monitoring procedure fo... Read More about Real-Time Monitoring of Bubbles and Crashes.

Estimation of the variance function in structural break autoregressive models with nonstationary and explosive segments (2022)
Journal Article

In this paper we consider estimating the innovation variance function when the conditional mean model is characterized by a structural break autoregressive model, which exhibits multiple unit root, explosive and stationary collapse segments, allowing... Read More about Estimation of the variance function in structural break autoregressive models with nonstationary and explosive segments.

Testing for Co-explosive Behaviour in Financial Time Series (2022)
Journal Article

This article proposes a test to determine if two price series that each contain an explosive autoregressive regime consistent with the presence of a bubble are related in the sense that a linear combination of them is integrated of order zero. We ref... Read More about Testing for Co-explosive Behaviour in Financial Time Series.

CUSUM-Based Monitoring for Explosive Episodes in Financial Data in the Presence of Time-Varying Volatility (2021)
Journal Article

We generalise 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 behaviour can heavily inflate the false positive rate... Read More about CUSUM-Based Monitoring for Explosive Episodes in Financial Data in the Presence of Time-Varying Volatility.

Simple Tests for Stock Return Predictability with Good Size and Power Properties (2021)
Journal Article

We develop easy-to-implement tests for return predictability which, relative to extant tests in the literature, display attractive finite sample size control and power across a wide range of persistence and endogeneity levels for the predictor. Our a... Read More about Simple Tests for Stock Return Predictability with Good Size and Power Properties.

Real?Time Detection of Regimes of Predictability in the U.S. Equity Premium (2020)
Journal Article

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... Read More about Real?Time Detection of Regimes of Predictability in the U.S. Equity Premium.

Date-stamping multiple bubble regimes (2020)
Journal Article

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... Read More about Date-stamping multiple bubble regimes.

Sign-based Unit Root Tests for Explosive Financial Bubbles in the Presence of Deterministically Time-Varying Volatility (2019)
Journal Article

This paper considers the problem of testing for an explosive bubble in …nancial data in the presence of time-varying volatility. We propose a sign-based variant of the Phillips, Shi and Yu (2015) test. Unlike the original test, the sign-based test do... Read More about Sign-based Unit Root Tests for Explosive Financial Bubbles in the Presence of Deterministically Time-Varying Volatility.

Testing explosive bubbles with time-varying volatility (2018)
Journal Article

This paper considers the problem of testing for an explosive bubble in financial data in the presence of time-varying volatility. We propose a weighted least squares-based variant of the Phillips, Wu and Yu (2011) test for explosive autoregressive be... Read More about Testing explosive bubbles with time-varying volatility.

Real-time monitoring for explosive financial bubbles (2018)
Journal Article

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... Read More about Real-time monitoring for explosive financial bubbles.

A Bootstrap Stationarity Test for Predictive Regression Invalidity (2018)
Journal Article

In order for predictive regression tests to deliver asymptotically valid inference, account has to be taken of the degree of persistence of the predictors under test. There is also a maintained assumption that any predictability in the variable of in... Read More about A Bootstrap Stationarity Test for Predictive Regression Invalidity.

Testing for parameter instability in predictive regression models (2018)
Journal Article

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... Read More about Testing for parameter instability in predictive regression models.

Systemic risk and macroeconomic fat tails (2017)
Book Chapter

We propose a mechanism for shock amplification that potentially can account for fat tails in the distribution of the growth rate of national output. We argue that extreme macroeconomic events, such as the Great Depression and the Great Recession, wer... Read More about Systemic risk and macroeconomic fat tails.

Testing for a unit root against ESTAR stationarity (2017)
Journal Article

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

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

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

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.