Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Balázs Árpád Szűcs"'
Autor:
Tony Fischetti, Brett Lantz, Jaynal Abedin, Hrishi V. Mittal, Bater Makhabel, Edina Berlinger, Ferenc Illes, Milan Badics, Adam Banai, Gergely Daroczi, Barbara Domotor, Gergely Gabler, Daniel Havran, Peter Juhasz, Istvan Margitai, Balazs Markus, Peter Medvegyev, Julia Molnar, Balazs Arpad Szucs, Agnes Tuza, Tamas Vadasz, Kata Varadi, Agnes Vidovics-Dancs
Master the art of building analytical models using R. About This Book Load, wrangle, and analyze your data using the world's most powerful statistical programming language Build and customize publication-quality visualizations of powerful and stunnin
Publikováno v:
Risk Management. 23:243-259
The risk attitude of investors is a key factor determining financial asset prices and market trends. Changes in risk attitude may be due to the interference of macro-level (business cycle) and micro-level (individual experience) effects. We investiga
Autor:
Balázs Árpád Szűcs
Publikováno v:
Finance Research Letters. 21:249-258
There are few intraday volume forecasting models in the literature, and they do not reflect on each other regarding forecast performance. This paper compares two models that are often referenced: the model of Bialkowski et al. (2008) to that of Brown
Autor:
Balázs Árpád Szűcs, Kata Váradi
Publikováno v:
Society and Economy. 36:543-563
The crisis that unfolded in 2007/2008 turned the attention of the financial world toward liquidity, the lack of which caused substantial losses. As a result, the need arose for the traditional financial models to be extended with liquidity. Our goal
Autor:
Balázs Árpád Szűcs
Az ertekezes a tőzsdei kereskedesi volumen, illetve annak szazalekos alakban megadott formaja, a forgalom napon beluli előrejelzeseről szol. Ez a terulet meg fejlődőben van, es meglehetősen friss. Az ertektőzsdei volumen előrejelzesevel keves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::128cb74a96dd5b8c5778b8007f6e7f8e
https://doi.org/10.14267/phd.2016031
https://doi.org/10.14267/phd.2016031