Accountancy
Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/214
Browse
5 results
Search Results
Item International financial reporting standards for small and medium-sized entities: a new institutional sociology perspective(Meditari Accountancy Research, 2022) Wijekoon, N.; Samkin, G.; Sharma, U.Purpose This paper aims to extend the literature by examining the need for International Financial Reporting Standards (IFRS) for Sri Lankan small and medium entities (SMEs) and investigating the institutional pressures that drove the adoption of the IFRS for SMEs in a developing country, Sri Lanka. Design/methodology/approach The theoretical framework adopted in this study draws on insights from new institutional sociology theory. An interview-based qualitative research was conducted with accountants and owners of SMEs, representatives from government agencies and the accounting standards-setting authority of Sri Lanka. Findings The emphasis on the need for international accounting standards for SMEs due to international structures and activities is not a priority for Sri Lankan SMEs. Sri Lankan SME owners do not receive requests to provide internationally comparable financial statements from their trade partners and international activities such as foreign exports, borrowings and ownerships are irrelevant business activities for them. Hence, findings reveal that the decision to adopt the IFRS for SMEs was in response to institutional pressures rather than alleged benefits of internationally comparable financial information. It appears from the results that the influence of local users’ needs and the government interference on the development of accounting standards does not exist in Sri Lanka. Research limitations/implications The research is limited to a single country. The data were collected from SMEs in Sri Lanka, as intended by the research boundary.[AQ1] The study has implications for policy makers, and standard setters charged with developing and implementing an appropriate financial reporting framework for SMEs. Originality/value The extant literature on IFRS for SMEs is sparse and mostly conducted through questionnaire surveys with a single user group of SME financial information.Item The use of financial ratios in predicting corporate failure in Sri Lanka(2013) Lakshan, A.M.I.; Wijekoon, N.The purpose of this research is to develop a model using financial ratios to predict corporate failure of listed companies in Sri Lanka. This study utilized publicly available data from annual reports of a sample of 70 failed firms and a sample of matched 70 non failed firms listed on Colombo stock market for a period covering the 2002 to 2008 financial years with logistic regression analysis. A total of fifteen financial ratios were used as predictor variables of corporate failure. Analysis of the statistical testing results indicated that the prediction accuracy of the model consists with financial ratios is 77.86% one year prior to failure. Furthermore, predictive accuracy of the model in all three years prior to failure is above 72%. Hence model is robust in obtaining accurate results for up to three years prior to failure. Final model includes three financial ratios; working capital to total assets, debt ratio and cash flow from operating activities to total assets. These variables are having more explanatory power to predict corporate failure. Therefore, model developed in this study can assist investors, managers, shareholders, financial institutions, auditors and regulatory agents in Sri Lanka to forecast corporate failure of listed companies.Item Predicting corporate failure of listed companies in Sri Lanka(2012) Lakshan, A.M.I.; Wijekoon, N.The purpose of this research is to develop a model to predict corporate failure of listed companies in Sri Lanka. This study utilized publicly available data from annual repots of a sample of 70 failed firms and a sample of matched 70 non failed firms listed on Colombo stock market for a period covering the 2002 to 2008 financial years with logistic regression analysis. A total of seven corporate governance variables were used as predictor variables of corporate failure. Analysis of the statistical testing results indicated that Model consists with corporate governance variables improved the prediction accuracy to reach 82.86% one year prior to failure. Furthermore, predictive accuracy of the Model in all three years prior to failure is above 73%. Hence model is robust in obtaining accurate results for up to three years prior to failure. Final model includes four corporate governance variables, outside director ratio, CEO duality, remuneration of board of directors and company audit committee. These variables are having more explanatory power to predict corporate failure. Therefore, model developed in this study can assist investors, managers, shareholders, financial institutions, auditors and regulatory agents in Sri Lanka to forecast corporate failure of listed companies.Item Corporate governance and corporate failure(2012) Lakshan, A.M.I.; Wijekoon, N.The purpose of this research is to examine the influence of corporate governance characteristics on the corporate failure of listed companies in Sri Lanka. This study utilized publicly available data from annual reports of a sample of 70 failed firms and a sample of matched 70 non failed firms listed on Colombo stock market for a period covering the 2002 to 2008 financial years with logistic regression analysis. Corporate governance characteristics comprises with board size, CEO duality, outside directors, outsiders’ ownership, audit opinion, presence of an audit committee and remuneration of board members. Outside director ratio, presence of an audit committee and remuneration of board members turn out to be negatively associated with the probability of corporate failure, While CEO duality is positively related with the likelihood of corporate failure. Board size, auditor's opinion and outside ownership do not appear to be significant determinants. The paper offers evidence on the extent to which corporate failure associated with corporate governance. It would be educational to investors, financial analysts, accounting professionals, management and be helpful for regulatory authorities in making decisions, evaluations and policies.Item An Integrated Model to Predict Corporate Failure of Listed Companies in Sri Lanka(International Journal of Business and Social Research, 2015) Wijekoon, N.; Azeez, A.A.The primary objective of this study is to develop an integrated model to predict corporate failure of listed companies in Sri Lanka. The logistic regression analysis was employed to a data set of 70 matched-pairs of failed and non-failed companies listed in the Colombo Stock Exchange (CSE) in Sri Lanka over the period 2002 to 2010. A total of fifteen financial ratios and eight corporate governance variables were used as predictor variables of corporate failure. Analysis of the statistical testing results indicated that model consists with both corporate governance variables and financial ratios improved the prediction accuracy to reach 88.57 per cent one year prior to failure. Furthermore, predictive accuracy of this model in all three years prior to failure is above 80 per cent. Hence model is robust in obtaining accurate results for up to three years prior to failure. It was further found that two financial ratios, working capital to total assets and cash flow from operating activities to total assets, and two corporate governance variables, outside director ratio and company audit committee are having more explanatory power to predict corporate failure. Therefore, model developed in this study can assist investors, managers, shareholders, financial institutions, auditors and regulatory agents in Sri Lanka to forecast corporate failure of listed companies.