Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Martha Flores-Sosa"'
Publikováno v:
Information Sciences. 565:46-61
Volatility is an important issue for companies, policy-makers, and researches. Autoregressive conditional heteroscedasticity (ARCH) and generalized ARCH (GARCH) models are frequently used to study volatility. However, forecasting efficiency tends to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9de9c87210179915471b9638b310753
https://doi.org/10.1016/j.ins.2021.02.051
https://doi.org/10.1016/j.ins.2021.02.051
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 40:1997-2009
Price volatility is a matter of importance for making decisions in the finance world. The growing studies regarding volatility have focused on minimizing the risks through modeling, estimating and forecasting. This paper presents a bibliometric overv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f072d29df907b5d9da205f9a8339641b
https://doi.org/10.3233/jifs-189202
https://doi.org/10.3233/jifs-189202
Multiple linear regression (MLR) is one of the most widely used statistical procedures for scholarly and research. The main limitation of MLR is that when being estimated with linear methodologies as ordinary least squares (OLS) becomes not functiona
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fba8196cf5188eacfe3e44e3c6eb7f17
https://hdl.handle.net/10453/168005
https://hdl.handle.net/10453/168005
Publikováno v:
International Journal of Finance & Economics. 27:1419-1442
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::160a17c57771adb66f2e1281ae4e4f65
https://doi.org/10.1002/ijfe.2223
https://doi.org/10.1002/ijfe.2223
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 38:5509-5520
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0233df22fe7e108d6d2e435e43ae9409
https://doi.org/10.3233/jifs-179642
https://doi.org/10.3233/jifs-179642
Autor:
Ernesto Leon-Castro, Fabio Blanco-Mesa, Walayat Hussain, Martha Flores-Sosa, Luis A. Perez-Arellano
The aim of this paper is to present the application of the OWA operator and some of its extensions in the calculation of continent and global tax revenues. The idea is to present how the analysis of an important economic indicator can vary depending
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::804d67abc60bcb5ea8fd8f6af5ee74e8
https://acuresearchbank.acu.edu.au/item/8z4z6/tax-revenue-measurement-using-owa-operators
https://acuresearchbank.acu.edu.au/item/8z4z6/tax-revenue-measurement-using-owa-operators
Publikováno v:
Knowledge-Based Systems. 248:108863
This paper introduces the multiple linear regression heavy ordered weighted average (MLR-HOWA) operator. On the MLR-HOWA operator, the beta values are obtained with the use of the HOWA means. In that sense, it provides a new range of possibilities by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa4272358ea8a2f73a835d985d963e4c
https://doi.org/10.1016/j.knosys.2022.108863
https://doi.org/10.1016/j.knosys.2022.108863