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Predicting corporate bankruptcy usin...
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Golden Gate University.
Predicting corporate bankruptcy using multivariant discriminate analysis (MDA), logistic regression and operating cash flows (OCF) ratio analysis: A Cash Flow-Based Approach.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Predicting corporate bankruptcy using multivariant discriminate analysis (MDA), logistic regression and operating cash flows (OCF) ratio analysis: A Cash Flow-Based Approach.
Author:
Rodgers, Christopher Scott.
Description:
97 p.
Notes:
Source: Dissertation Abstracts International, Volume: 72-09, Section: A, page: .
Notes:
Adviser: Hamid Shomali.
Contained By:
Dissertation Abstracts International72-09A.
Subject:
Business Administration, Accounting.
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3459530
ISBN:
9781124722887
Predicting corporate bankruptcy using multivariant discriminate analysis (MDA), logistic regression and operating cash flows (OCF) ratio analysis: A Cash Flow-Based Approach.
Rodgers, Christopher Scott.
Predicting corporate bankruptcy using multivariant discriminate analysis (MDA), logistic regression and operating cash flows (OCF) ratio analysis: A Cash Flow-Based Approach.
- 97 p.
Source: Dissertation Abstracts International, Volume: 72-09, Section: A, page: .
Thesis (D.B.A.)--Golden Gate University, 2011.
In this paper, we will discuss current solvency evaluation methods, explore their inherent weaknesses and propose a cash flow-based alternative that may be more effective in identifying candidates that are susceptible to financial failure. We believe this research will benefit corporate business managers of both public and private firms in helping them to identify and to take constructive action to correct potentially crippling situations. We also believe it will be of value to equity and debt investors, by providing them with more timely and accurate analysis for investment decisions. Lastly, it should be of value to auditors in assessing a firm ability to continue as a 'going concern' and issuing opinions.
ISBN: 9781124722887Subjects--Topical Terms:
227519
Business Administration, Accounting.
Predicting corporate bankruptcy using multivariant discriminate analysis (MDA), logistic regression and operating cash flows (OCF) ratio analysis: A Cash Flow-Based Approach.
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Predicting corporate bankruptcy using multivariant discriminate analysis (MDA), logistic regression and operating cash flows (OCF) ratio analysis: A Cash Flow-Based Approach.
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97 p.
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Source: Dissertation Abstracts International, Volume: 72-09, Section: A, page: .
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Adviser: Hamid Shomali.
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Thesis (D.B.A.)--Golden Gate University, 2011.
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In this paper, we will discuss current solvency evaluation methods, explore their inherent weaknesses and propose a cash flow-based alternative that may be more effective in identifying candidates that are susceptible to financial failure. We believe this research will benefit corporate business managers of both public and private firms in helping them to identify and to take constructive action to correct potentially crippling situations. We also believe it will be of value to equity and debt investors, by providing them with more timely and accurate analysis for investment decisions. Lastly, it should be of value to auditors in assessing a firm ability to continue as a 'going concern' and issuing opinions.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3459530
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