Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Jurij Weinblat"'
Publikováno v:
Applied Economics. 51:5345-5368
Using a panel data set covering six European countries and 119700 firms (582153 observations) over the period 2008–2013, we analyse the cash flow sensitivity of investment spending. As most...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::854a6462c277473f00d729e465b0fb4e
https://doi.org/10.1080/00036846.2019.1613499
https://doi.org/10.1080/00036846.2019.1613499
Autor:
Jurij Weinblat, Andreas Behr
Publikováno v:
The Journal of Risk Finance. 18:523-540
Purpose The purpose of this paper is to do a performance comparison of three different data mining techniques. Design/methodology/approach Logit model, decision tree and random forest are applied in this study on British, French, German, Italian, Por
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d0ed856ff684fcad0a9e49367cac70c
https://doi.org/10.1108/jrf-01-2017-0003
https://doi.org/10.1108/jrf-01-2017-0003
Autor:
Jurij Weinblat, Andreas Behr
Publikováno v:
International Journal of the Economics of Business. 24:181-222
This study uses the relatively new “random forest” (RF) approach, which is based on decision-tree analysis by combining the results of a large set of decision trees. RFs have so far been little used for default prediction but offer an interesting
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43fd39c0920ebcc9a29e15158733fbfb
https://doi.org/10.1080/13571516.2016.1252532
https://doi.org/10.1080/13571516.2016.1252532
Autor:
Jurij Weinblat
High-growth firms (HGFs) have aroused considerable interest both by researchers and policymakers mainly because of their substantial contribution to job creation and to the advancement of the surrounding economy (Acs et al., Small Bus Res Summ (328):
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::002b0f275e1cdf5d66f94af4c823ffcd
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85028558522
https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&origin=inward&scp=85028558522
Autor:
Jurij Weinblat
Wegen der weitreichenden Bedeutung der Data Envelopment Analysis (DEA) und ihren zahlreichen Potenzialen wird sie in diesem Buch dazu genutzt, um die Effizienz von Unternehmen jeweils innerhalb ihrer Branche zu ermitteln und die Effizienzverteilungen