Bubbles are omnipresent in lab experiments with asset markets. But these experiments were (mostly) conducted in environments with only human traders. Today markets are substantially determined by algorithmic traders. Here we use a laboratory experiment to measure human trading behaviour changes...

Behavioral finance presented in Finance for Normal People is a second generation behavioral finance. The first generation, starting in the early 1980s, largely accepted standard finance's notion of people's wants as “rational” wants – restricted to the utilitarian benefits of high returns...

We investigate the relationship between Value, Growth and two forms of Momentum across a wide range of developed and emerging international equity markets using MSCI total return ‘smart beta' indices. As would be anticipated, Value generally beats Growth. A distinction is then made between...

When the pricing kernel is U-shaped, then expected returns of claims with payout on the upside are negative for strikes beyond a threshold, determined by the slope of the U-shaped kernel in its increasing region, and have negative partial derivative with respect to strike in the increasing...

This paper overviews a personal finance program (PFP) developed for seniors at a private liberal arts university targeted at improving financial literacy. We provide an overview of the program, including details about the recruitment process, program structure, and curriculum. Using a...

There are three fundamental ways of testing the validity of an investment algorithm against historical evidence: a) the walk-forward method; b) the resampling method; and c) the Monte Carlo method. By far the most common approach followed among academics and practitioners is the walk-forward...

A growing literature analyzes the cross-section of single stock option returns, virtually always under the (implicit or explicit) assumption of a monotonically decreasing pricing kernel. Using option returns, we non-parametrically provide significant and robust evidence that the pricing kernel...

Investments are largely allocated to sectors of economic activities that are at odds with the climate targets, thus exposing countries' economies and investors' portfolios to the risk of carbon stranded assets. In this context, a main knowledge gap is represented by the poor understanding of...

This paper investigates the predictability of stock market movements using text data extracted from the social media platform, Twitter. We analyse text data to determine the sentiment and the emotion embedded in the Tweets and use them as explanatory variables to predict stock market movements....

We study the role of risk preferences and frictions in portfolio choice using variation in 401(k) default options. Patterns of active choice in response to different default funds imply that, absent participation frictions, 94% of investors prefer holding stocks, with an equity share of...