Erkki K. Laitinen

University of Vaasa - Department of Accounting and Finance

Professor

P.O. Box 700

FIN-65101 Vaasa, FI-65101

Finland

SCHOLARLY PAPERS

4

DOWNLOADS
Rank 9,164

SSRN RANKINGS

Top 9,164

in Total Papers Downloads

8,924

SSRN CITATIONS

8

CROSSREF CITATIONS

6

Scholarly Papers (4)

1.

Distressed Firm and Bankruptcy Prediction in an International Context: A Review and Empirical Analysis of Altman's Z-Score Model

Number of pages: 47 Posted: 11 Dec 2014
New York University (NYU) - Salomon Center, Warsaw School of Economics, Institute of Finance, University of Vaasa - Department of Accounting and Finance and University of Vaasa - Department of Accounting and Finance
Downloads 7,401 (1,616)
Citation 48

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Z-Score, bankruptcy, failure, default, financial distress

2.

Financial and Non-Financial Variables as Long-Horizon Predictors of Bankruptcy

Number of pages: 56 Posted: 07 Oct 2015
New York University (NYU) - Salomon Center, Warsaw School of Economics, Institute of Finance, University of Vaasa - Department of Accounting and Finance and University of Vaasa - Department of Accounting and Finance
Downloads 1,439 (23,420)
Citation 4

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bankruptcy prediction, long horizon, financial variables, non-financial variables, Finnish firms

3.

Audit firm-provided tax services and clients with low financial reporting quality

Universitat Autònoma de Barcelona, Working Paper No. 14/4
Number of pages: 45 Posted: 09 Jan 2015 Last Revised: 21 Mar 2021
Emma-Riikka Myllymäki, Erkki K. Laitinen and H Gin Chong
Audencia Business School, University of Vaasa - Department of Accounting and Finance and Prairie View A&M University - College of Business
Downloads 84 (503,055)

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UAB, Departament d'Empresa, Department of Business, Emma-Riikka Myllymäki

4.

Management Accounting Change in Small Technology Companies: Towards a Mathematical Model of the Technology Firm

Posted: 07 Nov 2001
Erkki K. Laitinen
University of Vaasa - Department of Accounting and Finance

Abstract:

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Management accounting change; Small companies; Technology companies; Postal questionnaire; Mathematical model