We study how the wealth-allocation decisions and the loss aversion of non-professional investors change subject to behavioral factors. The optimal wealth assignment between risky and risk-free assets results within a VaR portfolio model, where risk is individually assessed according to an...

This paper studies the impact of loss aversion on decisions regarding the allocation of wealth between risky and risk-free assets. We use a Value-at-Risk portfolio model with endogenous desired risk levels that are individually determined in an extended prospect theory framework. This framework...

This paper studies the attitude of non-professional investors towards financial losses and their decisions concerning wealth allocation among consumption, risky, and risk-free financial assets. We employ a two-dimensional utility setting in which both consumption and financial wealth...

Der vorliegende Beitrag quantifiziert anhand eines Marktmikrostruktur-Modells mit asymmetrischer Information den Einfluss der Anwender praktischer Entscheidungsregeln auf die Aktienkurse. Letztere werden als unvollständig informierte Anleger betrachtet. Neben diesen Anlegern agieren auf dem...

This paper presents a model in which rational and emotional investors are compelled to make decisions under uncertainty in order to ensure their survival. Using a neurofinancial setting, we show that, when different investor types fight for market capital, emotional traders tend not only to...

This paper develops a market microstructure model with asymmetric information in order to quantify the influence which practical decision rules have on asset process. The users of practical decision rules have incomplete information at their disposal and trade in a market with both fully...

One important aspect of financial markets is that there might be some traders that intentionally mislead other market participants by creating illusions in order to obtain a profit. We call this new concept illusionary finance. We present an analysis of how illusions can be created and...

We propose a new procedure to perform Reduced Rank Regression (RRR) in nonGaussian contexts, based on Multivariate Dispersion Models. Reduced-Rank Multivariate Dispersion Models (RR-MDM) generalise RRR to a very large class of distributions, which include continuous distributions like the...

We propose a dynamic portfolio selection model that maximizes expected returns subject to a Value-at-Risk constraint. The model allows for time varying skewness and kurtosis of portfolio distributions estimating the model parameters by weighted maximum likelihood in a increasing window setup. We...

We design and implement optimal foreign exchange portfolio allocations. An optimal allocation maximizes the expected return sub ject to a Value-at-Risk (VaR) constraint. Based on intradaily data, the optimization procedure is carried out at regular time intervals. For the estimation of the...