Extreme-value theory;
Gumbel law;
Folded normal distribution;
Jump detection;
MARKET;
D O I:
10.1016/j.frl.2023.104814
中图分类号:
F8 [财政、金融];
学科分类号:
0202 ;
摘要:
The Lee and Mykland (2008, 2012) nonparametric jump tests have been widely used in the literature but its critical region is stated with reference to the asymptotic distribution of the maximum of a set of standard normal variates. However, such reference would imply a typo (of non-negligible order) for the norming constants adopted. By using the asymptotic distribution of the maximum of a set of folded normal random variables instead, this paper shows that there is no typo at all, thus preserving the validity of all the empirical findings based on these tests.
机构:
Michigan State Univ, Dept Stat & Probabil, A431 Wells Hall, E Lansing, MI 48824 USAMichigan State Univ, Dept Stat & Probabil, A431 Wells Hall, E Lansing, MI 48824 USA
Ramamoorthi, R. V.
Rao, B. V.
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h-index: 0
机构:
Chennai Math Inst, Siruseri 603103, Kelambakkam, IndiaMichigan State Univ, Dept Stat & Probabil, A431 Wells Hall, E Lansing, MI 48824 USA
Rao, B. V.
Sethuraman, J.
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h-index: 0
机构:
Florida State Univ, Dept Stat, Tallahassee, FL 32306 USAMichigan State Univ, Dept Stat & Probabil, A431 Wells Hall, E Lansing, MI 48824 USA