{"title":"破产成本对内罗毕证券交易所上市公司价值的影响","authors":"Dennis Nyamasege C P A","doi":"10.26524/jms.13.1","DOIUrl":null,"url":null,"abstract":"This study measured the effect of bankruptcy costs on the value of the firm . Financial statements of listed firms for the period of 10 years 2008- 2017 were used. The study was anchored on the Traditional theory which emphasizes on optimality of a capital structure. This study was guided by positivisim research philosophy due to its power of applting deductive logic in arriving at meanings. Asample of 40 firms which have been consistently quoted during the entire study period of 2008-2017 was used. A data collection sheet was used to extract secondary data from published financial statements. Peer reviews were done to unsure face validity while expert opinion ensured content validity. Data was analyzed using descriptive statistical methods of minimums, maximums, mean, percentages and standard deviation. Further Karl Pearson correlation coefficient and backward regression techniques were adopted in analysing the panel data. The results were presented in the form of summarised tables and graphs. The findings revealed bankruptcy costs and had significant effect on value of the firms listed in Nairobi Securities Exchage. It was recommended that information symmetry could be enhanced through close monitoring of compliance to corporate governance practices particularly on disclosure requirements.","PeriodicalId":37730,"journal":{"name":"Journal of Management Information and Decision Science","volume":"16 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effect of bankruptcy costs on value of firms listed in Nairobi securities exchange\",\"authors\":\"Dennis Nyamasege C P A\",\"doi\":\"10.26524/jms.13.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study measured the effect of bankruptcy costs on the value of the firm . Financial statements of listed firms for the period of 10 years 2008- 2017 were used. The study was anchored on the Traditional theory which emphasizes on optimality of a capital structure. This study was guided by positivisim research philosophy due to its power of applting deductive logic in arriving at meanings. Asample of 40 firms which have been consistently quoted during the entire study period of 2008-2017 was used. A data collection sheet was used to extract secondary data from published financial statements. Peer reviews were done to unsure face validity while expert opinion ensured content validity. Data was analyzed using descriptive statistical methods of minimums, maximums, mean, percentages and standard deviation. Further Karl Pearson correlation coefficient and backward regression techniques were adopted in analysing the panel data. The results were presented in the form of summarised tables and graphs. The findings revealed bankruptcy costs and had significant effect on value of the firms listed in Nairobi Securities Exchage. It was recommended that information symmetry could be enhanced through close monitoring of compliance to corporate governance practices particularly on disclosure requirements.\",\"PeriodicalId\":37730,\"journal\":{\"name\":\"Journal of Management Information and Decision Science\",\"volume\":\"16 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Management Information and Decision Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.26524/jms.13.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Decision Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Management Information and Decision Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.26524/jms.13.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Decision Sciences","Score":null,"Total":0}
Effect of bankruptcy costs on value of firms listed in Nairobi securities exchange
This study measured the effect of bankruptcy costs on the value of the firm . Financial statements of listed firms for the period of 10 years 2008- 2017 were used. The study was anchored on the Traditional theory which emphasizes on optimality of a capital structure. This study was guided by positivisim research philosophy due to its power of applting deductive logic in arriving at meanings. Asample of 40 firms which have been consistently quoted during the entire study period of 2008-2017 was used. A data collection sheet was used to extract secondary data from published financial statements. Peer reviews were done to unsure face validity while expert opinion ensured content validity. Data was analyzed using descriptive statistical methods of minimums, maximums, mean, percentages and standard deviation. Further Karl Pearson correlation coefficient and backward regression techniques were adopted in analysing the panel data. The results were presented in the form of summarised tables and graphs. The findings revealed bankruptcy costs and had significant effect on value of the firms listed in Nairobi Securities Exchage. It was recommended that information symmetry could be enhanced through close monitoring of compliance to corporate governance practices particularly on disclosure requirements.
期刊介绍:
Journal of Management Information and Decision Sciences (JMIDS) is a reputed open access journal affiliated to Allied Business Academies. The journal focuses on disseminating the latest research in the field of management information system and its role in decision making, as well their relationships to cognate disciplines including Economics, Finance, Management, Management Science, Marketing, Statistics, Operations Research and Engineering. The journal adheres to stringent double blind peer review policy to maintain the publication quality.