Ability of Combinations of Cash Flow Components to Predict Financial Distress
نویسندگان
چکیده
منابع مشابه
Financial Distress and Unexpected Cash-Flows
Casella for invaluable guidance during my program. I would also like to thank Professors Peter Wilson, Vic Bernard and Tom Stober for their willingness to answer questions and offer advice. Financial support from the Arthur Andersen Foundation, the Social Sciences and Humanities Research Council of Canada, and the UW/SSHRC grant program during various stages of this work was greatly appreciated...
متن کاملa study of characteristics of interim cash flow series and their proxies and the ability to predict them
journal of accounting advances (j.a.a) vol. 5, no. 1, 2013, ser. 64/3 extended abstract a study of characteristics of interim cash flow series and their proxies and the ability to predict them dr. m. a. aghaei v. ahmadian f. daviran tarbiat modares university introduction the predicting of annual and interim cash flows from operations is one of the mo...
متن کاملProposal for a Decision Support System to Predict Financial Distress
In the context of economic instability and uncertainty, when more and more companies struggle with financial difficulties to keep in business, it becomes more obvious of the necessity of a sound strategic planning and an efficient management system. Thai is why I believe that a decision support system that could provide early warning signals of financial distress to a company a few years before...
متن کاملHybrid Models Performance Assessment to Predict Flow of Gamasyab River
Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...
متن کاملHybrid Models Performance Assessment to Predict Flow of Gamasyab River
Awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. Therefore, the present study two hybrid models, Wavelet- Adaptive Neural Fuzzy Interference System (WANFIS) and Wavelet- Artificial Neural Network (WANN) are used for flow prediction of Gamasyab River (Nahavand, Hamedan, Iran...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Verslas: teorija ir praktika
سال: 2011
ISSN: 1648-0627,1822-4202
DOI: 10.3846/btp.2011.28