Changepoint in Dependent and Non-Stationary Panels

0524844 - ÚI 2021 RIV US eng J - Journal Article
Maciak, M. - Pešta, M. - Peštová, Barbora
Changepoint in Dependent and Non-Stationary Panels.
Statistical Papers. Roč. 61, č. 4 (2020), s. 1385-1407. ISSN 0932-5026. E-ISSN 1613-9798
Institutional support: RVO:67985807
Keywords : Panel data * Changepoint * Dependence * Non-stationatity * Bootstrap * Call options * Insurance
OECD category: Statistics and probability
Impact factor: 2.234, year: 2020
Method of publishing: Limited access
http://dx.doi.org/10.1007/s00362-020-01180-6

Detection procedures for a change in means of panel data are proposed. Unlike classical inference tools used for the changepoint analysis in the panel data framework, we allow for mutually dependent and generally non-stationary panels with an extremely short follow-up period. Two competitive self-normalized test statistics are employed and their asymptotic properties are derived for a large number of available panels. The bootstrap extensions are introduced in order to handle such a universal setup. The novel changepoint methods are able to detect a common break point even when the change occurs immediately after the first time point or just before the last observation period. The developed tests are proved to be consistent. Their empirical properties are investigated through a simulation study. The invented techniques are applied to option pricing and non-life insurance.
Permanent Link: http://hdl.handle.net/11104/0309101