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Investor relations are also the subject of research in the academic field with the increasing importance of corporate governance, corporate social responsibility, publicly traded companies and information sharing in capital markets. Sharing information of companies with all stakeholders, not just one associated party; it has become easier, faster and more functional in the digitalized world. Together with financial reports, activity reports and other important statements, the integrated use of the possibilities offered by digitalization can also be characterized as financial public relations. These prominent developments in business activities attract attention in the academic field and become the subject of research. In this context, the study seeks to answers to the questions of the extent to which the concept of investor relations is considered in the academic field and in what aspects it is studied. Bibliometric analysis was conducted in the context of various criteria determined in the Scopus database (covering the years 1980-2020) and the results were presented. According to the results, academic studies have shown an increase trend over the years and the most published type of writing in academic studies is the article. The highest share of the fields in which the studies are related belongs to the field of business, management and accounting. In addition to these results, academic studies belong to which countries, which institutions and which authors, etc. results are also included. [ABSTRACT FROM AUTHOR]

The aim of this study is to determine the fraud risk of the independently audited financial statements of companies whose stocks are traded in the Borsa Istanbul Textile, Clothing and Leather sector between 2015-2019 using data mining-based methods, through financial ratios, and accordingly, to reveal the success of these methods in detecting fraud. For this purpose, independent audit reports and weekly Capital Market Boards of Turkey (CMB) Bulletins were examined within the scope of the study, and cases of applying to fraudulent financial reporting practices were determined. In this context, 127 financial statements and independent audit reports of relevant periods were examined. In the study, 12 financial ratios used in literature to explain fraudulent financial reporting and 10 methods based on data mining were used. According to research findings, all models based on data mining used within the scope of the study were more than 70% successful in correctly classifying financial statements that are considered to have fraud risk and financial statements that are considered to have no fraud risk, and the most successful methods are models established with J48 and Deep Learning methods. [ABSTRACT FROM AUTHOR]

Small and Medium sized enterprises are the most important key determinants to achieve the high sustainable economic growth and employment and a rising standard of living for Turkish economy while maintaining financial stability and thus to contribute to the development of the world economy. One of the major problems which creates the poor business environment for SME's is an acces to financing. This study is thought to make contribution to literature by analyzing the alternative methods available to SME's financing and the benefits of capital markets for SME's in Turkey. [ABSTRACT FROM AUTHOR]