Machine learning is an increasingly important and controversial topic in quantitative finance. A lively debate persists as to whether machine learning techniques can be practical investment tools. Although machine learning algorithms can uncover subtle, contextual and non-linear relationships,...

We propose a measure of investors' climate sentiment by performing sentiment analysis on StockTwits posts on climate change and global warming. We find that when investors' climate sentiment is high, emission stocks are relatively overpriced. Moreover, we show that an increase in carbon prices...

In this study, we employ the Phillips, Shi and Yu (2015)'s GSADF methodology on the weekly Bitcoin price index from July 2010 to February 2018 to date-stamp twelve statistically significant episodes of speculative bubbles. The shortest episodes are in January 2012 and October 2016, lasting for a...

Experts’ opinions are widely considered for investment decisions. We collect textual information from cryptocurrency experts, study the dynamics in their discussion topics and their sentiment in relation to market movements. Based on the analysis we test various hypothesis which span if the...

We propose a statistical model of differences in beliefs in which heterogeneous investors are represented as different machine learning model specifications. Each investor forms return forecasts from their own specific model using data inputs that are available to all investors. We measure...

Feedback trading strategies have gained much popularity among researchers in the last decadesand are used to illustrate how new information based on returns is reflected in the markets. This paper extends previous studies by decomposing the overall return premium and introducing the global...

We provide practical insights for investors seeking exposure to the growing cryptocurrency space. Today, crypto is much more than just bitcoin, which historically dominated the space but accounted for just a 21% share of total crypto trading volume in 2021. We discuss a wide variety of tokens,...

In this paper, we investigate the impact of market sentiment on cryptocurrency returns. To accomplish this, we use a novel dataset that captures a multitude of attitudes, moods, and emotions extracted from a vast amount of news and social media content. Our findings indicate that social media...