In this article we provide an asymptotic distribution theory for some nonparametric tests of the hypothesis that asset prices have continuous sample paths. We study the behaviour of the tests using simulated data and see that certain versions of the tests have good finite sample behavior. We also apply the tests to exchange rate data and show that the null of a continuous sample path is frequently rejected. Most of the jumps the statistics identify are associated with governmental macroeconomic announcements.The full-text of this article is not available in ORA at this time. Citation: Barndorff-Nielsen, O. E. & Shephard, N. (2006). 'Econometrics of testing for jumps in financial economics using bipower variation', Journal of Financial Econo...
We perform a comprehensive Monte Carlo comparison between nine alternative procedures available in t...
This paper develops statistical tools for testing conditional independence among the jump components...
It has long been demonstrated that continuous-time methods are powerful tools in financial modeling....
In this article we provide an asymptotic distribution theory for some nonparametric tests of the hyp...
In this article we provide an asymptotic distribution theory for some nonparametric tests of the hyp...
In this paper we provide an asymptotic distribution theory for some non-parametric tests of the hypo...
The dissertation consists of two essays on several topics in econometrics and financial economics. C...
This dissertation proposes a methodology for inference in the context of diffusion processes with ju...
In this paper, we fill a gap in the financial econometrics literature, by developing a “jump test” f...
This paper proposes bootstrap methods for the realized bipower variation and the Barndorff-Nielsen a...
We perform a comprehensive Monte Carlo comparison between nine alternative procedures available in t...
This dissertation studies methodologies for hypothesis testing and forecasting in financial economet...
We will review the econometrics of non-parametric estimation of the components of the variation of a...
We propose a new nonparametric test for detecting the presence of jumps in asset prices using discre...
In my dissertation, I consider hypothesis testing with nuisance parameters identified only under the...
We perform a comprehensive Monte Carlo comparison between nine alternative procedures available in t...
This paper develops statistical tools for testing conditional independence among the jump components...
It has long been demonstrated that continuous-time methods are powerful tools in financial modeling....
In this article we provide an asymptotic distribution theory for some nonparametric tests of the hyp...
In this article we provide an asymptotic distribution theory for some nonparametric tests of the hyp...
In this paper we provide an asymptotic distribution theory for some non-parametric tests of the hypo...
The dissertation consists of two essays on several topics in econometrics and financial economics. C...
This dissertation proposes a methodology for inference in the context of diffusion processes with ju...
In this paper, we fill a gap in the financial econometrics literature, by developing a “jump test” f...
This paper proposes bootstrap methods for the realized bipower variation and the Barndorff-Nielsen a...
We perform a comprehensive Monte Carlo comparison between nine alternative procedures available in t...
This dissertation studies methodologies for hypothesis testing and forecasting in financial economet...
We will review the econometrics of non-parametric estimation of the components of the variation of a...
We propose a new nonparametric test for detecting the presence of jumps in asset prices using discre...
In my dissertation, I consider hypothesis testing with nuisance parameters identified only under the...
We perform a comprehensive Monte Carlo comparison between nine alternative procedures available in t...
This paper develops statistical tools for testing conditional independence among the jump components...
It has long been demonstrated that continuous-time methods are powerful tools in financial modeling....