bibtype C - Conference Paper (international conference)
ARLID 0507386
utime 20240111141022.3
mtime 20190807235959.9
WOS 000387898900152
title (primary) (eng) Bimodality testing of the stochastic cusp model
specification
page_count 6 s.
media_type E
serial
ARLID cav_un_epca*0447280
ISBN 978-80-261-0539-8
title Procedings of the 33rd International Conference Mathematical Methods in Economics MME 2015
page_num 888-893
publisher
place Plzeň
name University of West Bohemia, Plzeň
year 2015
keyword multimodal distributions
keyword stochastic cusp model
keyword statistical bimodality test
author (primary)
ARLID cav_un_auth*0256753
full_dept (cz) Ekonometrie
full_dept (eng) Department of Econometrics
department (cz) E
department (eng) E
share 100
name1 Voříšek
name2 Jan
institution UTIA-B
country CZ
garant K
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type pdf
url http://library.utia.cas.cz/separaty/2019/E/vorisek-0507386.pdf
cas_special
project
ARLID cav_un_auth*0253176
project_id GA402/09/0965
agency GA ČR
abstract (eng) Multimodal distributions are popular in many areas: biology (fish and shark population), engineering (material collapse under pressure, stability of ships), psychology (attitude transitions), physics (freezing of water) etc. There were a few attempts to utilize multimodal distributions in financial mathematics as well. Cobb et al. described a class of multimodal distributions belonging to the exponential family, which has unique maximum likelihood estimators and showed a connection to the stationary distribution of the stochastic cusp catastrophe model. Moreover was shown, how to identify bimodality for given parameters of the stochastic cusp model using the sign of Cardans discriminant. A statistical test for bimodality of the stochastic cusp model using maximum likelihood estimates is proposed in the paper as well as the necessary condition for bimodality which can be used for s simplified testing to reject bimodality. By proposed methods is tested the bimodality of exchange rate between USD and GBP in the periods within the years 1975 - 2014.
action
ARLID cav_un_auth*0320824
name Mathematical Methods in Economics 2015 /33./
dates 09.09.2015-11.09.2015
place Cheb
country CZ
RIV BB
FORD0 10000
FORD1 10100
FORD2 10103
reportyear 2020
num_of_auth 1
presentation_type PR
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0298682
confidential S
arlyear 2015
mrcbU14 SCOPUS
mrcbU24 PUBMED
mrcbU34 000387898900152 WOS
mrcbU56 pdf
mrcbU63 cav_un_epca*0447280 Procedings of the 33rd International Conference Mathematical Methods in Economics MME 2015 978-80-261-0539-8 888 893 Plzeň University of West Bohemia, Plzeň 2015