Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
A company is in financial distress when it’s not able to meet or has difficulty in paying of the financial obligations to its lenders, by reason of high fixed cost, illiquid assets and decreased revenue. Such type of distress may lead to operational distress as increasing cost of borrowing take a toll on the operations of the company as well. This may ultimate end up in the firm being insolvent. Financial distress probability becomes higher with high business risk and high debt. In this paper I try to compilation of attempt of all the researchers which they tried to make the financial distress prediction model using various variables like financial ratios, market variables and also different analytical tools. The paper has compilation of some literature review related to financial distress prediction so the future researchers find some important literature in one paper.
"Financial Distress Prediction: A Literature Review Approach", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 10, page no.550 - 555, October-2022, Available :http://www.ijrti.org/papers/IJRTI2210074.pdf
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000202574
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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