Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Role of Board Independence and Ownership Structure in Improving the Efficacy of Corporate Financial Distress Prediction Model: Evidence from India Subject The topic of the resource bankruptcy; board independence; financial distress; IBC; logistic regression; ownership structure Description An account of the resource The study aimed to investigate the role of non-financial measures in predicting corporate financial distress in the Indian industrial sector. The proportion of independent directors on the board and the proportion of the promoters share in the ownership structure of the business were the non-financial measures that were analysed, along with ten financial measures. For this, sample data consisted of 82 companies that had filed for bankruptcy under the Insolvency and Bankruptcy Code (IBC). An equal number of matching financially sound companies also constituted the sample. Therefore, the total sample size was 164 companies. Data for five years immediately preceding the bankruptcy filing was collected for the sample companies. The data of 120 companies evenly drawn from the two groups of companies were used for developing the model and the remaining data were used for validating the developed model. Two binary logistic regression models were developed, M1 and M2, where M1 was formulated with both financial and non-financial variables, and M2 only had financial variables as predictors. The diagnostic ability of the model was tested with the aid of the receiver operating curve (ROC), area under the curve (AUC), sensitivity, specificity and annual accuracy. The results of the study show that inclusion of the two non-financial variables improved the efficacy of the financial distress prediction model. This study made a unique attempt to provide empirical evidence on the role played by non-financial variables in improving the efficiency of corporate distress prediction models. 2021 by the authors. Creator An entity primarily responsible for making the resource Shetty S.H.; Vincent T.N. Source A related resource from which the described resource is derived Journal of Risk and Financial Management, Vol-14, No. 7 Publisher An entity responsible for making the resource available Multidisciplinary Digital Publishing Institute (MDPI) Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.3390/jrfm14070333" target="_blank" rel="noreferrer noopener">https://doi.org/10.3390/jrfm14070333</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117178065&amp;doi=10.3390%2Fjrfm14070333&amp;partnerID=40&amp;md5=b440c0effa171876a2284922905705cb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117178065&amp;doi=10.3390%2fjrfm14070333&amp;partnerID=40&amp;md5=b440c0effa171876a2284922905705cb</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 19118074 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shetty S.H., Department of Commerce, CHRIST (Deemed to Be University), Bengaluru, 560029, India; Vincent T.N., Department of Commerce, CHRIST (Deemed to Be University), Bengaluru, 560029, India