Altman Z, Messod Beneish M, Piotroski F-scores of Samsung Electronics Limited

Author
D. Sasikala
Keywords
Bankruptcy Risk; Distress of Business Trend; Risk of Earnings Manipulation
Abstract
This paper discusses about bankruptcy risk through Altman Z-score, distress of business trend through Piotroski F-Score, risk of earnings manipulation through Messod Beneish M-score models of Samsung Electronics Ltd. Altman Z-score model which is an accurate forecaster of failure up to two years prior to distress. It can be considered the assessment of the distress of industrial corporations, business trend (Piotroski F-Score), Messod Beneish M score can be used to detect the risk of earnings manipulation.
References
[1] www.gurufocus.com, visited on 07th July 2020.
[2] https://link.springer.com/article/10.1007/s41130-016-0020-7#Sec5, visited on 07th July 2020.
[3] https://www.ilo.org/wcmsp5/groups/public/—ed_dialogue/—sector/documents/meetingdocument/wcms_317267.pdf“ Ups and downs in the electronics industry: Fluctuating production and the use of temporary and other forms of employment”GDFACE/2014 INTERNATIONAL LABOUR ORGANIZATION Sectoral Policies Department. (Geneva, 9–11 December 2014)
[4] JiangZemin, Professor, Shanghai Jiao Tong University.Former President, People’s Republic of China, “Revitalize Our Country’s Electronics Industry”, 29 January 2010.https://doi.org/10.1016/B978-0-12-381369-5.00003-9
[5] JiangZemin, Professor, Shanghai Jiao Tong University, Former President, People’s Republic of China, “Initiate a New Phase in the Electronics Industry’s Services for the Four Modernizations”29 January 2010
[6] JiangZemin, “Initiate a New Phase in the Electronics Industry’s Services for the Four Modernizations”, On the Development of China’s Information Technology Industry, 2010, Pages 155-20, https://doi.org/10.1016/B978-0-12-381369-5.00011-8
[7] Ackerberg D, Benkard L, Berry S, Pakes A (2007) Econometric tools for analyzing market outcomes. In: Heckman JJ, Leamer EE (eds) Handbook of econometrics, Elsevier, chapter 63, volume 6, Part A, 4171–4276.
[8] Albuquerque R, Hopenhayn H (2004) Optimal lending contracts and firm dynamics. Rev Econ Stud 71(2):285–315. Article (Google Scholar)
[9] Aleksanyan L (2015) La situation économique et financière des entreprises agroalimentaires françaises (1998–2012). Econom Rural 349–350:125–14. Article (Google Scholar)
[10] Altman EI (1968) Financial ratios, discriminant analysis and the predictions of corporate bankruptcy. J Financ 23(4):589–609. Article (Google Scholar)
[11] Arellano C, Bai Y, Zhang J (2012) Firm dynamics and financial development. J Monet Econ 59(6):533–549. Article (Google Scholar)
[12] Avouyi-Dovi S, Horny G, Sevestre P (2012) Cost of funds, credit risk and bank loaninterest rates in the crisis: what to micro data tell us?, work in progress, mimeo, Banque de France. Article (Google Scholar)
[13] Baily MN, Hulten C, Campbell D, Bresnahan T, Caves R (1992) Productivity dynamics in manufacturing plants. Brook Pap Econom Activ Microeconom 1992:187–267. Article (Google Scholar)
[14] Bartelsman EJ, Doms M (2000) Understanding productivity: lessons from longitudinal microdata. J Econ Lit 38(3):569–594. Article (Google Scholar)
[15] Bellone F, Musso P, Nesta L, Quéré M (2006) Productivity and market selection of French manufacturing firms in the nineties. Rev de l’OFCE 97(5):319–349. Article (Google Scholar)
[16] Blanchard P, Huiban J-P, Mathieu C (2012) The determinants of firm exit in the French food industries. Rev Agric Environ Stud 93(2):193–212. Article (Google Scholar)
[17] Boyer T, Blazy R (2014) Born to be alive? The survival of innovative and non-innovative French micro-start-ups. Small Bus Econ 42(4):669–683. Article (Google Scholar)
[18] Carneiro A, Portugal P, Varejão J (2013) Catastrophic job destruction, IZA discussion papers series no. 7670. Institute for the Study of Labor, Bonn, 38 p. Article (Google Scholar)
[19] Caves R (1998) Industrial organization and new findings on the turnover and mobility of firms. J Econ Lit 36(4):1947–1982. Article (Google Scholar)
[20] Cooley T, Quadrini V (2001) Financial markets and firm dynamics. Am Econ Rev 91(5):1286–1310.Article (Google Scholar)
[21] Dwyer D (1998) Technology locks, creative destruction, and non convergence in productivity levels. Rev Econ Dyn 1(2):430–473Article (Google Scholar)
[22] Ericson R, Pakes A (1995) Markov-perfect industry dynamics: a framework for empirical work. Rev Econ Stud 62(1):53–82. Article (Google Scholar)
[23] Evans DS, Jovanovic B (1989) An estimated model of entrepreneurial choice under liquidity constraints. J Polit Econ 97(4):808–827. Article (Google Scholar)
[24] Fariñas JC, Ruano S (2005) Firm productivity, heterogeneity, sunk costs and market selection. Int J Ind Organ 23(7–8):505–534. Article (Google Scholar)
[25] Fougère D, Golfier C, Horny G, Kremp E (2013) Quel a été l’impact de la crise de 2008 sur la défaillance des entreprises ? Econom Stat 462(1):69–97.Article (Google Scholar)
[26] Hopenhayn H (1992) Exit, selection, and the value of firms. J Econ Dyn Control 16(3–4):621–653. Article (Google Scholar)
[27] Jovanovic B (1982) Selection and the evolution of industry. Econometrica 50(3):649–670. Article (Google Scholar)
[28] Kremp E, Sevestre P (2013) Did the crisis induce credit rationing for French SMEs? J Bank Financ 37(10):3757–3772. Article (Google Scholar)
[29] Levinsohn J, Petrin A (2003) Estimating production functions using inputs to control for unobservables. Rev Econ Stud 70(2):317–341. Article (Google Scholar)
Received : 21 October 2020
Accepted : 07 February 2021
Published : 14 February 2021
DOI: 10.30726/ijmrss/v8.i1.2021.81002

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