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...

We propose a new procedure to perform Reduced Rank Regression (RRR) in non-Gaussian 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...

This paper proposes a new, individual measure of market risk, denoted as the individually acceptable loss (IAL). This measure can be used by portfolio managers in order to better meet the individual profiles of their non-professional clients, including psychological traits. It can be easily...

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...

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 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...

In this paper we perform an empirical analysis of the trading process in a pure limit order book market, the Xetra system which operates at various European exchanges. We study how liquidity supply and demand as well as price volatility affect future trading activity and market resiliency, and...

Cloud based computing has tremendous potential for academia in general and researchers in particular. The ability to store, read and manipulate large data sets is increasingly important to be on the cutting edge of research. While most researchers have extensive programming skills, they...

This article develops and implements a new methodology for identifying intra-day information regimes in limit order books. Based on Lehmann (2008), in an information regime all the information is trade related and arrives via order flow and, the fundamental value that underlines the prices does...