We distill sentiment from a huge assortment of NASDAQ news articles by means of machine learning methods and examine its predictive power in single-stock option markets and equity markets. We provide evidence that single-stock options react to contemporaneous sentiment. Next, examining return...

We reveal a novel channel through which market participants' sentiment influences how they forecast stock returns: their optimism (pessimism) affects the weights they assign to fundamentals. Our analysis yields four main findings. First, if good (bad) “news” about dividends and interest...

In this era of inexpensive computation and vast data, systematic, or algorithmically driven, investment is increasingly popular. Systematic strategies appear in stand-alone products as well in tail-hedging and defensive-overlay strategies. Indeed, given the enormous growth in data, it is...

We distill sentiment from a huge assortment of NASDAQ news articles by means of machine learning methods and examine its predictive power in single-stock option markets and equity markets. We provide evidence that single-stock options react to contemporaneous sentiment. Next, examining return...

We propose a practical framework to detect mispricing, test informational efficiency and evaluate the behavioural biases within high-frequency prediction markets, especially in how prices react to news. We show this using betting exchange data for association football, exploiting the moment when...

In 2021, meme stocks attracted investors and scholars’ attention. Using Wavelet Coherence analysis, we test in a sentiment analysis framework the dynamic interdependence between the AMC Theatres stock performance and the explanatory factors of Google Trends index, Put-Call ratio, and Trading...

We build a parsimonious agent-based model under the adaptive market hypothesis (AMH), which can explain the formation of equilibrium prices and market efficiency dynamics. Our model combines heterogeneous interacting agents, switching behavior, and investor feedback on past realized returns,...

Common risk metrics reported in academia include volatility, skewness, and factor exposures. The maximum drawdown statistic is rarely calculated, perhaps because it is path dependent and estimated with greater uncertainty. In practice, however, asset managers and fiduciaries routinely use the...

The 2008 financial crisis has led to the breakdown of the new synthesis consensus in the mainstream economic theories. Rational expectations (RE) and non-rational expectations (NRE) have respectively explained the policy irrelevance of and the behavior departure from standard economic theories....

We examine the relationship between equity and foreign exchange markets at, and around, the WM/Reuters benchmark exchange rate known as the the 'Fix'. Execution at the Fix is a service offered by brokers provided they obtain the trade order before 4pm GMT. We have three main goals with this...