國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Predicting corporate bankruptcy usin...

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.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Predicting corporate bankruptcy using multivariant discriminate analysis (MDA), logistic regression and operating cash flows (OCF) ratio analysis: A Cash Flow-Based Approach.
作者:	Rodgers, Christopher Scott.
面頁冊數:	97 p.
附註:	Source: Dissertation Abstracts International, Volume: 72-09, Section: A, page: .
附註:	Adviser: Hamid Shomali.
Contained By:	Dissertation Abstracts International72-09A.
標題:	Business Administration, Accounting.
電子資源:	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.
LDR:01698nmm 2200277 4500 001 309750
005 20111105132505.5
008 111212s2011 ||||||||||||||||| ||eng d
020 $a 9781124722887
035 $a (UMI)AAI3459530
035 $a AAI3459530
040 $a UMI $c UMI
100 1 $a Rodgers, Christopher Scott. $3 531106
245 1 0 $a Predicting corporate bankruptcy using multivariant discriminate analysis (MDA), logistic regression and operating cash flows (OCF) ratio analysis: A Cash Flow-Based Approach.
300 $a 97 p.
500 $a Source: Dissertation Abstracts International, Volume: 72-09, Section: A, page: .
500 $a Adviser: Hamid Shomali.
502 $a Thesis (D.B.A.)--Golden Gate University, 2011.
520 $a 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.
590 $a School code: 0452.
650 4 $a Business Administration, Accounting. $3 227519
650 4 $a Economics, Finance. $3 212585
690 $a 0272
690 $a 0508
710 2 $a Golden Gate University. $3 212794
773 0 $t Dissertation Abstracts International $g 72-09A.
790 1 0 $a Shomali, Hamid, $e advisor
790 $a 0452
791 $a D.B.A.
792 $a 2011
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3459530