Dissertation/Thesis Abstract

Predicting corporate bankruptcy using multivariant discriminate analysis (MDA), logistic regression and operating cash flows (OCF) ratio analysis: A Cash Flow-Based Approach
by Rodgers, Christopher Scott, D.B.A., Golden Gate University, 2011, 97; 3459530
Abstract (Summary)

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.

Indexing (document details)
Advisor: Shomali, Hamid
Commitee:
School: Golden Gate University
School Location: United States -- California
Source: DAI-A 72/09, Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Accounting, Finance
Keywords: Bankruptcy, Cash flows, Logistic regression
Publication Number: 3459530
ISBN: 9781124722887
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