This paper proposes a new framework for analyzing the sentiments of central bank narratives. Specifically, we fine-tune a pre-trained BERT model on a dataset of manually annotated sentences on monetary policy stance. We derive a deep learning domain-specific model – BERT central bank sentiment...

We seek to estimate a portfolio of option prices in an entirely data driven way, at any future time, for trading and risk management purposes in a model independent way. We do not know the model driving the dynamics of the actual stock prices, but only observe discretely their evolution in the...

We consider the classical multi-asset Merton investment problem under drift uncertainty, i.e. the asset price dynamics are given by geometric Brownian motions with constant but unknown drift coefficients. The investor assumes a prior drift distribution and is able to learn by observing the asset...

In the current trend, the trend of international cooperation, global integration, equipping students with skills such as: critical thinking, communication, cooperation, social awareness, creative thinking is an urgent problem. This requires an alternative teaching approach to promote active...

This study is a reflection on course design and student learning outcomes in an experiential learning-based development economics course at a university in Australia. Following an intensive period of coursework in development economics, undergraduate students go to a developing country (such as...

With new products, consumers are often ignorant of quality, which firms may attempt to signal through their pricing. Simultaneously, firms are also ignorant of demand and so often experiment with their pricing to learn. Despite the well-known theoretical literature exploring these issues, there...

We study social learning between spouses using an experiment in Chennai, India. We vary whether individuals discover information themselves or must instead learn what their spouse discovered via a discussion. Women treat their 'own' and their husband's information the same. In sharp contrast,...

This textbook introduces the mathematical models and algorithms utilised in machine learning, covering supervised and unsupervised learning as well as reinforcement learning: In supervised learning we present ensemble models, artificial neural networks, deep neural networks, recurrent neural...

We investigate intertemporal strategic interactions if monopolies,cartels or oligopolies benefit from firm internal as well as external learning by doing. Our analysis is carried out for a linear learningcost curve because, it allows the derivation of the linear Markov perfectequilibrium (LMPE)....

Previous research shows that humans display complexity aversion. In this article, we test for the presence of complexity aversion and its determinants in the context of voluntary climate action, where individual choices interact with the complex regulatory framework of the EU Emission Trading...