What can granular data on investors' asset demand tell us about stock return variation? Motivated by the recent literature on demand-based asset pricing, I model the growth rate of portfolio holdings based on evolving asset fundamentals by including demand for asset-specific characteristics in a...

The study examined high volatile assets, specifically the currency exchange rate of the open financial market. Takes into consideration the five most traded paired currencies of the global financial market. And observed, generally, the dataset of the unit currency exchange rate exhibits...

The theory of fair geometric returns, F theory for short, rejects the generally accepted notion that volatility is the risk of risky assets. Instead, it claims that capital market volatility, in turn, constitutes the maximum achievable geometric return. In order to get to the point, F theory, in...

The study examined high volatile assets, specifically the currency exchange rate of the open financial market. Takes into consideration the five most traded paired currencies of the global financial market. And observed, generally, the dataset of the unit currency exchange rate exhibit...

We propose a simple algorithm for the ex-ante valuation based on prospect theory. Our results reveal a strong and robust pricing effect associated with predicted values based on prospect theory (PV) in the US market, that is, higher ex-ante PV stocks associated with higher returns. Our findings...

What can granular data on investor holdings tell us about stock price variation? I model the growth rate of a portfolio manager's holdings based on evolving asset fundamentals by including demand for asset-specific characteristics in a portfolio optimisation function. Alongside changes in asset...

An anchoring adjusted Capital Asset Pricing Model (ACAPM) is developed in which the payoff volatilities of well-established stocks are used as starting points that are adjusted to form volatility judgments about other stocks. Anchoring heuristic implies that such adjustments are typically...

I show that adjusting CAPM for anchoring provides a unified explanation for the size, value, and momentum effects. Anchoring adjusted CAPM (ACAPM) predicts that stock splits are associated with positive abnormal returns and an increase in return volatility, whereas the reverse stock-splits are...

I model a scenario in which investors do not know the payoff distributions of relatively newer firms and use the payoff distribution of similar well-established firms as starting points. The starting distributions are then adjusted for size, volatility, and other differences. Anchoring bias...

What happens when the capital asset pricing model (CAPM) is adjusted for the anchoring and adjustment heuristic of Tversky and Kahneman (1974)? The surprising finding is that adjusting CAPM for anchoring provides a plausible unified framework for understanding almost all of the key asset pricing...