Information leakage in financial machine learning research
نویسندگان
چکیده
منابع مشابه
Machine learning algorithms for time series in financial markets
This research is related to the usefulness of different machine learning methods in forecasting time series on financial markets. The main issue in this field is that economic managers and scientific society are still longing for more accurate forecasting algorithms. Fulfilling this request leads to an increase in forecasting quality and, therefore, more profitability and efficiency. In this pa...
متن کاملOptimizing Leakage Power using Machine Learning
As transistor technology nodes continue to scale into deep sub-micron processes, leakage power is becoming an increasingly large portion of the total power. This has been true for many years now, ever since deep submicron processes became available. In addition, more recently, computing is becoming increasingly mobile, where minimal power is of paramount importance. As a result, companies are b...
متن کاملThe Role of Machine Learning in Information Retrieval Research
The commercial success of the web is rapidly changing the nature of Information Retrieval (IR) research. Both information (the data) and retrieval (the task) are growing in complexity. As the size of the WWW and corporate intranets grows, the amount of data available becomes larger, but also richer: metadata, link connectivity, and user behaviour are becoming as important as the actual textual ...
متن کاملMachine Learning Applications in Financial Markets
2 Acknowledgments I would like to thank my guide, Professor Saketh Nath for his constant help, support and guidance. Abstract Stock market prediction with data mining techniques is one of the most important issues to be investigated. We intend to present a system that predicts the changes of stock trend by analyzing the influence of news articles.
متن کاملA hybrid model based on machine learning and genetic algorithm for detecting fraud in financial statements
Financial statement fraud has increasingly become a serious problem for business, government, and investors. In fact, this threatens the reliability of capital markets, corporate heads, and even the audit profession. Auditors in particular face their apparent inability to detect large-scale fraud, and there are various ways to identify this problem. In order to identify this problem, the majori...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Algorithmic Finance
سال: 2019
ISSN: 2158-5571,2157-6203
DOI: 10.3233/af-190900