We propose different extensions of the continuous record asymptotic analysis for rolling sample variance estimators developed by Foster and Nelson (1996). First, despite the difference in information sets we are able to compare the asymptotic distribution of volatility estimators involving data...

The paper evaluates the performance of several recently proposed change-point tests applied to conditional variance dynamics and conditional distributions of asset returns. These are CUSUM-type tests for beta-mixing processes and EDF-based tests for the residuals of such nonlinear dependent...

We propose procedures designed to uncover structural breaks in the co-movements of financial markets. A reduced form approach is introduced that can be considered as a two-stage method for reducing the dimensionality of multivariate heteroskedastic conditional volatility models through...

We apply several recently proposed tests for structural breaks in conditional variance and covariance dynamics. The tests apply to both the class of ARCH and SV type processes and allow for long memory features. We also apply them to data-driven volatility estimators using high-frequency data...

We study regression models that involve data sampled at different frequencies. We derive the asymptotic properties of the NLS estimators of such regression models and compare them with the LS estimators of a traditional model that involves aggregating or equally weighting data to estimate a...

The article evaluates the performance of several recently proposed change-point tests applied to conditional variance dynamics and conditional distributions of asset returns. These are CUSUM-type tests for ²-mixing processes and EDF-based tests for the residuals of such nonlinear dependent...

We propose extensions of the continuous record asymptotic analysis for rolling sample variance estimators developed by Foster and Nelson (1996) for estimating the quadratic variation of asset returns, which is also referred to as integrated or realized volatility. The new approach treats...

This paper reviews the literature on structural breaks in financial time series. First we discuss the implications of structural breaks in financial time series for statistical inference purposes. In the second section we discuss the relevant asymptotic results and issues involved in general...

Over the last four decades, a large number of structural models have been developed to estimate and price credit risk. The focus of the paper is on a much neglected issue pertaining to fundamental shifts in the structural parameters governing default. We propose formal quality control procedures...

We study historical and sequential CUSUM change-point tests for strongly dependent nonlinear processes. These tests are used to monitor the conditional variance of asset returns and to provide real-time information regarding instabilities or disruptions in financial risk. We discuss in detail...