High-frequency sentiment time series are extracted from Twitter data concerning the European emissions market and are used to explain returns and volatility in European emissions futures. The measures of negative sentiment are shown to Granger-cause EUA futures returns, while positive sentiment...

We investigate whether two heuristics, the peak-end rule and herding, lead to cognitive biases in the index of consumer sentiment published by the University of Michigan. Both affect respondents' assessment of changes in their financial position over the past year. Consistent with the peak-end...

The complex world of finance is characterised by numerous irrationalities that representatives of behavioral finance seek to explain by cognitive biases (flaws, inclinations or anomalies). Cognitive biases represent imperfect perception of reality and are caused by limited cognitive capacities...

We investigate whether two heuristics, the peak-end rule and herding, lead to cognitive biases in the index of consumer sentiment published by the University of Michigan. Both affect respondents' assessment of changes in their financial position over the past year. Consistent with the peak-end...

Making financial decisions under risk and uncertainty has become part of everyday life. Traditional finance explores the objective side of risk, analysing the decisions made by perfectly rational individuals in efficient market conditions. Behavioural finance seeks to connect theory with...

The momentum anomaly is widely attributed to investor cognitive biases, but the trigger of cognitive biases is largely unexplored. In this study, inspired by psychology studies linking cognitive biases to the noisiness of information, we examine whether momentum returns are associated with high...