Salotti, Valentina
(2009)
Multi-Country Event Study Methods, [Dissertation thesis], Alma Mater Studiorum Università di Bologna.
Dottorato di ricerca in
Mercati e intermediari finanziari, 21 Ciclo. DOI 10.6092/unibo/amsdottorato/1252.
Documenti full-text disponibili:
Abstract
Which event study methods are best in non-U.S. multi-country samples? Nonparametric
tests, especially the rank and generalized sign, are better specified and more powerful
than common parametric tests, especially in multi-day windows. The generalized sign
test is the best statistic but must be applied to buy-and-hold abnormal returns for correct
specification. Market-adjusted and market-model methods with local market indexes,
without conversion to a common currency, work well. The results are robust to limiting
the samples to situations expected to be problematic for test specification or power. Applying
the tests that perform best in simulation to merger announcements produces reasonable
results.
Abstract
Which event study methods are best in non-U.S. multi-country samples? Nonparametric
tests, especially the rank and generalized sign, are better specified and more powerful
than common parametric tests, especially in multi-day windows. The generalized sign
test is the best statistic but must be applied to buy-and-hold abnormal returns for correct
specification. Market-adjusted and market-model methods with local market indexes,
without conversion to a common currency, work well. The results are robust to limiting
the samples to situations expected to be problematic for test specification or power. Applying
the tests that perform best in simulation to merger announcements produces reasonable
results.
Tipologia del documento
Tesi di dottorato
Autore
Salotti, Valentina
Supervisore
Dottorato di ricerca
Scuola di dottorato
Scienze economiche e statistiche
Ciclo
21
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Event study; market efficiency; abnormal returns; simulation.
URN:NBN
DOI
10.6092/unibo/amsdottorato/1252
Data di discussione
4 Maggio 2009
URI
Altri metadati
Tipologia del documento
Tesi di dottorato
Autore
Salotti, Valentina
Supervisore
Dottorato di ricerca
Scuola di dottorato
Scienze economiche e statistiche
Ciclo
21
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Event study; market efficiency; abnormal returns; simulation.
URN:NBN
DOI
10.6092/unibo/amsdottorato/1252
Data di discussione
4 Maggio 2009
URI
Statistica sui download
Gestione del documento: