{"title":"Machine Learning Techniques and Risk Management","authors":"Christos Floros, P. Ballas","doi":"10.4018/978-1-7998-4805-9.CH013","DOIUrl":"https://doi.org/10.4018/978-1-7998-4805-9.CH013","url":null,"abstract":"Crises around the world reveal a generally unstable environment in the last decades within which banks and financial institutions operate. Risk is an inherent characteristic of financial institutions and is a multifaceted phenomenon. Everyday business practice involves decisions, which requires the use of information regarding various types of threats involved together with an evaluation of their impact on future performance, concluding to combinations of types of risks and projected returns for decision makers to choose from. Moreover, financial institutions process a massive amount of data, collected either internally or externally, in an effort to continuously analyse trends of the economy they operate in and decode global economic conditions. Even though research has been performed in the field of accounting and finance, the authors explore the application of machine learning techniques to facilitate decision making by top management of contemporary financial institutions improving the quality of their accounting disclosure.","PeriodicalId":283827,"journal":{"name":"Machine Learning Applications for Accounting Disclosure and Fraud Detection","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130379560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Corporate Governance","authors":"Marios Menexiadis","doi":"10.4018/978-1-7998-4805-9.CH003","DOIUrl":"https://doi.org/10.4018/978-1-7998-4805-9.CH003","url":null,"abstract":"Corporate governance is the cornerstone for the organization, when it comes to effective internal control systems by modern organizations. Over the last 20 years, several business giants have collapsed under the weight of illegalities and frauds, such as Enron, WorldCom, Guinness, Maxwell Group, Barings Bank, etc. The impact of the failure of these organizations on the economies in which they were operating was particularly significant and had a negative impact on those directly or indirectly associated with them. The shareholders, as well as all stakeholders such as suppliers, customers, creditors, employees, and governments of the countries where the above organizations were active, were adversely affected. The failure of the organizations was attributed to the inadequacy of their boards and the lack of organized and effective control mechanisms by their management.","PeriodicalId":283827,"journal":{"name":"Machine Learning Applications for Accounting Disclosure and Fraud Detection","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114785357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}