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Predicting Earningsusing Cost Accounts Ratios: Evidence From Manufacturing Listed Firms

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  • John Sorros

Abstract

In the research fields of earnings forecast and the behavior of cost accounts there are many studies that indicate factors that affect earnings and factors that are affected by the cost accounts. Earnings affected by many factors as investments, cash flows, ROI, cost of capital, size, and others. Also in the area of earnings management crucial factors that affect earnings are inventories, accounts receivable, accounts payable, depreciation expense, accrued liabilities and others. Resent research in cost accounting field addresses the stickiness of CGA cost as an important factor that may be affect earnings or stock return in all industries except financial service industry. The stickiness of cost has investigated mostly in SGA cost because the manufacturing cost, inventory and cost of goods sold, change proportionately with activity levels that it means that are mostly variable factors. This empirical study investigates the impact of manufactory cost and SGA to operating income in manufacturing industry, using data from 2.128 listed firms, separated in three sectors according to sales level. The findings show that manufacturing cost and SGA cost affects the operating income differently in the three levels. This result disclosures the need for further investigation in separated industries, in different countries and finally to find a stable forecasting model using the cost accounts.

Suggested Citation

  • John Sorros, 2013. "Predicting Earningsusing Cost Accounts Ratios: Evidence From Manufacturing Listed Firms," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(15), pages 1-10.
  • Handle: RePEc:alu:journl:v:2:y:2013:i:15:p:10
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    1. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    3. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    4. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    5. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    6. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    7. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
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    More about this item

    Keywords

    Earnings Predictability; Cost Structure; SG&A; Manufacturing Cost; Cost of Goods Sold;
    All these keywords.

    JEL classification:

    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General
    • G30 - Financial Economics - - Corporate Finance and Governance - - - General

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