There is a simple but overlooked way of capturing the wealth effect under CARA utility via making the absolute-risk aversion parameter wealth-dependent. We implement this approach in the asymmetric information setting of Verrecchia (1982), and compare it with the alternative approach of changing the utility function (Peress, 2004). Ours is a straightforward tractable extension of Verrecchia, while Peress has to resort to approximate methods. Importantly, our closed-form solution reveals that the relation between wealth and wealth share invested in a risky asset can be negative, while Peress’s main result is that this relation is uniquely positive.
In this article, we investigate the impact of familiarity bias on the individual investor’s reluctance to realize losses. Our experimental approach reveals a strong correlation between familiarity and disposition effect. We conducted 714 tests in which different respondents could sell stocks of two types – winners and losers. One group of respondents “owned” familiar assets and another group operated anonymous portfolios. The results of the experiment show that an individual investor’s tendency to ride losers too long is more than twice as high in the case of unfamiliar stocks as it is when assets are familiar to the holder.
The article focuses on models that can assess the efficiency of mergers and acquisitions (M&A) deals by evaluating their synergistic effect. Such studies are much needed in the modern society, which is demonstrated by the current state of the market and various integration processes, which produce quite different results. We analyze M&A deals in developed and developing countries from two corresponding regions, Western Europe and Middle East and North Africa (the MENA region), in an attempt to find the most appropriate model for determining the main factors that influence the efficiency of M&A deals in the construction industry.
A prominent approach to modelling ambiguity about stock return distribution is to assume that investors have multiple priors about the distribution and these priors are distributed according to a certain second-order distribution. Realistically, investors may also have multiple priors about the second-order distribution, thus allowing for ambiguous ambiguity. Despite a long history of debates about this idea (Reichenbach (1949), Savage (1954)), there seems to be no formal analysis of investment behavior in the presence of this feature. We develop a tractable portfolio choice framework incorporating ambiguous ambiguity, characterize analytically the optimal portfolio, and examine its properties.
When an asset-pricing model is claimed to explain a cross-section of portfolio returns, it should do so both within one asset class and across different asset classes. This paper illustrates that this is not always the case using the CAPM and Asness, Moskowitz and Pedersen (AMP, 2013) models applied to momentum and value portfolio returns as examples. Apparently, on one hand, the CAPM is almost as good as the AMP model in explaining the portfolio returns across asset classes, but on the other hand, the AMP model is almost as bad as the CAPM in explaining these returns within one asset class.