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Analyzing Investment Decisions Using...
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ProQuest Information and Learning Co.
Analyzing Investment Decisions Using Altman's Model to Predict Organizational Financial Distress.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Analyzing Investment Decisions Using Altman's Model to Predict Organizational Financial Distress./
作者:
Nketiah, Ebenezer Tuffour.
面頁冊數:
1 online resource (132 pages)
附註:
Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.
Contained By:
Dissertation Abstracts International79-03A(E).
標題:
Finance. -
電子資源:
click for full text (PQDT)
ISBN:
9780355247305
Analyzing Investment Decisions Using Altman's Model to Predict Organizational Financial Distress.
Nketiah, Ebenezer Tuffour.
Analyzing Investment Decisions Using Altman's Model to Predict Organizational Financial Distress.
- 1 online resource (132 pages)
Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.
Thesis (Ph.D.)
Includes bibliographical references
The theory of the study was financial distress. The study analyzed investment decisions using Altman's 1968 original Z-score model to predict corporate financial distress in the U.S. oil and gas industry from 2010 to 2014. The problem for the study was lack of understanding regarding relationships between working capital, retained earnings, earnings before interest and tax (EBIT), market value of equity, and sales (independent variables), and financial distress (dependent variable) in the oil and gas industry. The research question for the quantitative study asked; what are the relationships between working capital, retained earnings, earnings before interest and tax, market value of equity, and sales, and financial distress? The population of the study comprised of listed U.S. oil and gas firms that filed bankruptcy between 2010 and 2016. The data for the study was 100 financial statements from 20 of these financially distressed oil and gas companies. This data was scaled down to 93 using outlier technique in the SPSS. Data was collected from secondary sources; including audited income statements, retained earnings, statements of changes in equity, and balance sheets from 2010 to 2014. The results showed there were negative relationships between financial distress and working capital, retained earnings and, EBIT, but there were no significant relationships between financial distress and market value of equity, and sales. These outcomes implied that profitability (retained earnings and EBIT) and liquidity (working capital) significantly influenced financial distress. The results also showed that there were strongest relationships between financial distress and earnings before interest and tax, and weakest relationship between financial distress and market value of equity.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355247305Subjects--Topical Terms:
559073
Finance.
Index Terms--Genre/Form:
554714
Electronic books.
Analyzing Investment Decisions Using Altman's Model to Predict Organizational Financial Distress.
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Analyzing Investment Decisions Using Altman's Model to Predict Organizational Financial Distress.
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Source: Dissertation Abstracts International, Volume: 79-03(E), Section: A.
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The theory of the study was financial distress. The study analyzed investment decisions using Altman's 1968 original Z-score model to predict corporate financial distress in the U.S. oil and gas industry from 2010 to 2014. The problem for the study was lack of understanding regarding relationships between working capital, retained earnings, earnings before interest and tax (EBIT), market value of equity, and sales (independent variables), and financial distress (dependent variable) in the oil and gas industry. The research question for the quantitative study asked; what are the relationships between working capital, retained earnings, earnings before interest and tax, market value of equity, and sales, and financial distress? The population of the study comprised of listed U.S. oil and gas firms that filed bankruptcy between 2010 and 2016. The data for the study was 100 financial statements from 20 of these financially distressed oil and gas companies. This data was scaled down to 93 using outlier technique in the SPSS. Data was collected from secondary sources; including audited income statements, retained earnings, statements of changes in equity, and balance sheets from 2010 to 2014. The results showed there were negative relationships between financial distress and working capital, retained earnings and, EBIT, but there were no significant relationships between financial distress and market value of equity, and sales. These outcomes implied that profitability (retained earnings and EBIT) and liquidity (working capital) significantly influenced financial distress. The results also showed that there were strongest relationships between financial distress and earnings before interest and tax, and weakest relationship between financial distress and market value of equity.
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