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Wie wir aus der digitalen Welt eine bessere machen können. Den Krebs besiegen, bevor er entsteht. Das Verbrechen verhindern, ehe es geschieht. Den Traumjob bekommen, ganz ohne Vitamin B. Algorithmen lassen lang gehegte Wünsche Wirklichkeit werden. Sie können aber auch das solidarische...
Persistent link: https://www.econbiz.de/10011948905
Part I. The Status Quo of Robo-Advisory -- Chapter 1. Robo-Advisory: The Rise of the Investment Machines; Peter Scholz and Michael Tertilt -- Chapter 2. Situating Robo-Advisory; Sinan Krueckeberg -- Part II. The Implementation of Robo-Advisory -- Chapter 3. Risk Preferences of Investors; Monika...
Persistent link: https://www.econbiz.de/10012399998
Robo-Advisory is a field that has gained momentum over recent years, propelled by the increasing digitalization and automation of global financial markets. More and more money has been flowing into automated advisory, raising essential questions regarding the foundations, mechanics, and...
Persistent link: https://www.econbiz.de/10012265889
In this work, we apply cutting edge machine learning algorithms to one of the oldest challenges in finance: Predicting returns. For the sake of simplicity, we focus on predicting the direction (e.g. either up or down) of several liquid ETFs and do not attempt to predict the magnitude of price...
Persistent link: https://www.econbiz.de/10012934913
An essential element of the work of the Fund is to monitor and forecast international trade. This paper uses SWIFT messages on letters of credit, together with crude oil prices and new export orders of manufacturing Purchasing Managers' Index (PMI), to improve the short-term forecast of...
Persistent link: https://www.econbiz.de/10012392595
. By combining the idea of leading risk indicators with data and algorithm-based risk management methods, this paper … used to calculate a leading maritime risk indicator. Overall, findings confirm that a data- and algorithm-based approach …
Persistent link: https://www.econbiz.de/10012301416
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We establish the out-of-sample predictability of monthly exchange rate changes via machine learning techniques based on 70 predictors capturing country characteristics, global variables, and their interactions. To guard against overfitting, we use the elastic net to estimate a high-dimensional...
Persistent link: https://www.econbiz.de/10012847704