Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 715418

Firm Financial Distress Prediction With Statistical Methods: Prediction Accuracy Improvements Based on the Financial Data Restatements


Pervan, Ivica; Pavić, Petra; Pervan, Maja
Firm Financial Distress Prediction With Statistical Methods: Prediction Accuracy Improvements Based on the Financial Data Restatements // 8th International days of statistics and economics
Prag, Češka Republika, 2014. str. 1134-1144 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 715418 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Firm Financial Distress Prediction With Statistical Methods: Prediction Accuracy Improvements Based on the Financial Data Restatements

Autori
Pervan, Ivica ; Pavić, Petra ; Pervan, Maja

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
8th International days of statistics and economics / - , 2014, 1134-1144

ISBN
978-80-87990-02-5

Skup
8th International days of statistics and economics

Mjesto i datum
Prag, Češka Republika, 11.09.2014. - 13.09.2014

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
financial distress prediction; accounting manipulations

Sažetak
Firm failure phenomenon has been in the focus of academic research for many years. However, developed failure models entirely relay on original financial data and do not take into account potential data problems resulting from accounting manipulations. In this paper authors proposed the model for restatement of financial statements and tested it on the sample of 345 firms from Croatia. Empirical testing has shown that usage of restated financial data increases overall failure prediction accuracy by 5.3 percentage points. In the segment of non-distressed firms prediction accuracy was increased by 10.4 percentage points, while in the segment of distressed firms prediction accuracy was increased by 1.5 percentage points. Such findings indicate that accounting manipulations can affect failure prediction accuracy and that proposed model can be useful for prediction accuracy improvements.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija

Napomena
Članak je indeksiran u Web of Science (WoS) bazi podataka



POVEZANOST RADA


Projekti:
055-0551147-1105 - Utjecaj pridruživanja RH europskoj uniji na profitabilnost hrvatskih poduzeća (Pavić, Ivan, MZOS ) ( CroRIS)

Ustanove:
Ekonomski fakultet, Split

Profili:

Avatar Url Ivica Pervan (autor)

Avatar Url Maja Pervan (autor)

Avatar Url Petra Jakaša (autor)

Citiraj ovu publikaciju:

Pervan, Ivica; Pavić, Petra; Pervan, Maja
Firm Financial Distress Prediction With Statistical Methods: Prediction Accuracy Improvements Based on the Financial Data Restatements // 8th International days of statistics and economics
Prag, Češka Republika, 2014. str. 1134-1144 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Pervan, I., Pavić, P. & Pervan, M. (2014) Firm Financial Distress Prediction With Statistical Methods: Prediction Accuracy Improvements Based on the Financial Data Restatements. U: 8th International days of statistics and economics.
@article{article, author = {Pervan, Ivica and Pavi\'{c}, Petra and Pervan, Maja}, year = {2014}, pages = {1134-1144}, keywords = {financial distress prediction, accounting manipulations}, isbn = {978-80-87990-02-5}, title = {Firm Financial Distress Prediction With Statistical Methods: Prediction Accuracy Improvements Based on the Financial Data Restatements}, keyword = {financial distress prediction, accounting manipulations}, publisherplace = {Prag, \v{C}e\v{s}ka Republika} }
@article{article, author = {Pervan, Ivica and Pavi\'{c}, Petra and Pervan, Maja}, year = {2014}, pages = {1134-1144}, keywords = {financial distress prediction, accounting manipulations}, isbn = {978-80-87990-02-5}, title = {Firm Financial Distress Prediction With Statistical Methods: Prediction Accuracy Improvements Based on the Financial Data Restatements}, keyword = {financial distress prediction, accounting manipulations}, publisherplace = {Prag, \v{C}e\v{s}ka Republika} }




Contrast
Increase Font
Decrease Font
Dyslexic Font