SUPPORTING INVESTMENT MANAGEMENT PROCESSES WITH MACHINE LEARNING TECHNIQUES

IT support and especially IT innovations represent crucial success factors in investment management and financial decision making. The application of machine learning techniques for intraday decision support constitutes such a crucial factor, but existing literature has not been capable of melding latest research results from both the text and the capital market research field. Combining fundamental research results from both domains, it is possible to develop a forecasting model that performs better than both alternative internal (random) benchmarks and external prior research benchmarks. The approach is tested by means of “classical” evaluation methods such as well as by a simulation

INFORMATION CONTENT OF FINANCIAL REPORTING AND INFORMATION VALUE OF FINANCIAL NEWS – AN OPINION ANALYTICS APPROACH

This study investigates the impact of the quality of disclosures of financial reports of the listed firms in Taiwan under her first full adoption of International Financial Reporting Standards (IFRS) in 2013. We select the semi-annual reports of firms in the three main industry sectors of high technology, financial service, and biotechnology representing 80% of the capital market in the first year of mandatory adoption. The dictionary of financial reporting is developed according to opinion mining and sentiment analysis. In contrast to prior studies, we explore the gap analytics between financial reporting and financial news to explore whether the disclosure quality is related with the adoption of IFRS. Results are promising and show that the disclosures have relationship with the IFRS first adoption

On the usage of theories in the field of Wirtschaftsinformatik : a quantitative literature analysis

The development of theories is a central goal of every scientific discipline. Hence, theory development is also of considerable importance to the field of Wirtschaftsinformatik (WI), which seeks to progress as a scientific discipline. WI is the discipline focussing on research and design of information systems conducted by the German-speaking community. WI has slightly different objectives, focusses on different methods and different desired results compared to the Anglo-American Information Systems (IS) research discipline. Although both disciplines deal with information systems as their main research object, Mertens et al. (2014) propose to consider both disciplines as halfsister disciplines (in German: Halbschwesterdisziplinen). Against the background of the growing importance of theory development in WI, a lot of WI research contributions use and reference existing theories and theoretical models for different purposes, e.g. to derive and test hypotheses or to justify design decisions in the context of information systems’ design and development. Often, these theories originate from related scientific disciplines like economics or psychology. However, as it is still not clear which theories are of particular importance to WI research, this report aims at presenting a detailed analysis of the current usage of theories in WI and addresses the following research questions: Which theories are used in WI research and where do they originate from? and How has the usage of theories developed over time? These questions were examined based on a systematic analysis of a broad amount of scientific literature. Thus, this report is supposed to make a contribution to the ongoing discussion on the theoretical foundations of WI. Our analysis shows that 1,160 WI articles from 2000 to 2011 do, in large part, reference the same theories as Anglo-American Information Systems (IS) research. These findings are discussed and implications are highlighted