We consider a class of learning problems in which an agent liquidates a risky asset while creating both transient price impact driven by an unknown convolution propagator and linear temporary price impact with an unknown parameter. We characterize the trader's performance as maximization of a...

Deep learning is a type of machine learning that has attracted a lot of attention in recent years because to its incredible achievements in a variety of applications like pattern recognition, audio recognition, computer vision, and natural language processing. Deep learning approaches can also...

The purpose of this study was to determine the quality of the learning process, the determinants of process quality, and to determine the Teaching Factory-Based Teaching Factory-Based Motorcycle Engineering Vocational Skills Learning Model. Data collection was carried out through interviews and...

Despite the popularity of strategy courses and the fact that managers make consequential decisions using ideas they learn in such courses, few studies have examined the learning outcomes of taking a strategy course — a research gap most likely due to the methodological challenges of measuring...

In recent years many new algorithms have been developed for applications in speech and image processing which may be repurposed for time series prediction. This paper presents a comprehensive comparative analysis of time series forecasting capabilities of eight such state-of-the-art algorithms...

The identification of the business cycle turn points is a challenging task. In this context, the evolution of new data typologies as internet searches data strongly impacted the construction of approaches practical to forecast macroeconomic variables. This work emphasizes the significance of...

Customer service agents serve a critical role towards post-purchase customer satisfaction, retention, and loyalty. However, properly evaluating their performance involves several challenges: commonly used customer survey measures suffer from scarce, biased, and delayed responses. This study...

The sudden emergence of epidemics, such as COVID-19, entails economic and social challenges requiring immediate attention from policy makers. An essential building block in implementing mitigation policies (e.g., lockdowns, testing, and vaccination) is the identification of potential hotspots,...