Jarque–Bera Test and its Competitors for Testing Normality – A Power Comparison
By Thorsten Thadewald, H. Büning. 2007
350 citations recorded by the source corpus.
Subfields: Finance, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/02f3f21437a2c8f80a4d8f458e0a3127e619d341
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Finance
- Luca Di Persio
- Priti Bakhshi
- R. Delgado
- Matteo Frigo
- Aníbal Costa
- X. Romão
- Hemendra Gupta
- R. Chaudhary
In Statistics and Probability
Citations in the corpus
- Gibbs sampling approach to regime switching analysis of financial time series (2016, methodology): “We underline that, as pointed out by Thadewald and Bünin in [20], the Jarque-Bera test is sometimes subject to errors of the second type.”
- Volatility in International Stock Markets: An Empirical Study during COVID-19 (2020, background): “If its value is far-off from zero, this indicates that the sample does not possess a normal distribution (Thadewald and Büning 2007).”
- An empirical power comparison of univariate goodness-of-fit tests for normality (2010, methodology): “According to results presented for JB in [9], for α ≥ 0.”