Since the outbreak of the COVID-19 pandemic, stock markets around the world have experienced unprecedented declines, which have resulted in extremely high stock market uncertainty, measured as price variation. In this paper, we show that during such periods, Google Trends data represent a timely...

We use party-identifying language – like “Liberal Media” and “MAGA”– to identify Republican users on the investor social platform StockTwits. Using a difference-in-difference design, we find that the beliefs of partisan Republicans about equities remain relatively unfazed during the...

Several explanations for the observed limited stock market participation have been offered in the literature. One of the most promising is the presence of market frictions mostly in the form of fixed entry and/or transaction costs. Empirical studies point to a significant structural (state)...

In this paper we assesss whether some simple forms of technical analysis can predict stock price movements in the Madrid Stock Exchange. To that end, we use daily data for General Index of the Madrid Stock Exchange, covering the thirty-one-year period from January 1966-October 1997. Our results...

I use a time-varying parameter model in order to study the predictability of monthly real stock returns in Germany over the period 1880–1913. I find that the extent to which returns were predictable underwent significant changes over time. Specifically, predictability of returns, as measured...

Using the descriptive method of log-periodic power laws (LPPL) based on a theory of behavioral herding, we use a battery of parametric and non-parametric tests to demonstrate the existence of an antibubble in the yields with maturities larger than 1 year since October 2000. The concept of...

A Monte Carlo computer simulation model is presented to study the evolution of stock price and the distribution of price fluctuation. The resistance is described by an elastic energy Ee=e·x2 resulting from the price deviation x from an initial value and the momentum trading by the potential...

Power-law distributions have been observed in various economical and physical systems. Lévy flights have infinite variance which discourage a physical approach. We introduce a class of stochastic processes, the “gradually truncated Lévy flight” in which large steps of a Lévy flight are...

The scattering diagram of a stock index results in a complex network structure, which can be used to analyze the viscoelastic properties of the index. The change along x- or y-direction of the diagram corresponds to purely elastic (or spring like) movement whereas the diagonal change at an angle...