Using a data-set that provides unprecedented details on individual investors’ stockholdings, we analyse whether investors take into account corporate governance when they select stocks. After controlling for the supply effect via free float and other firm characteristics, we find that all...

We develop a new family of estimators of the covariance matrix that relies solely on forwardlooking information. It uses only current prices of plain-vanilla options. In an out-of-sample study we show that a minimum-variance strategy based on these fully-implied estimators outperforms several...

This paper proposes a new way to measure and deal with risk within the portfolio selection problem using a skewness/semivariance biobjective optimization framework. The solutions of this biobjective optimization problem allow the investor to analyse the efficient trade-off between skewness and...

In this study, we use zero-one variables to control fixed transaction costs independent of trade size in the portfolio selection problem. The optimal solution to the maximum flow, risk constrained stochastic portfolio network is found using Digital Portfolio Theory (DPT). Digital signals...

In this paper we investigate a class of cardinality-constrained portfolio selection problems. We construct convex relaxations for this class of optimization problems via a new Lagrangian decomposition scheme. We show that the dual problem can be reduced to a second-order cone program problem...

Decision making about portfolio selection problem under uncertainty is very important and critical, so it is rational and necessary to use ideas of a DM who is proficient in stochastic problems. For example, the Goal Attainment Programming (GAP) is one of the methods in priori category that...

The class of defensive online portfolio selection algorithms, designed for finite investment horizon, is introduced. The game constantly rebalanced portfolio and the worst case game constantly rebalanced portfolio, are presented and theoretically analysed. The analysis exploits the rich set of...

We solve different constrained mean-risk portfolio optimisation models using a recently developed simulated annealing-based multiobjective optimisation algorithm. We consider practical and widely used constraints in portfolio modelling, i.e., the cardinality constraint which imposes a limit on...

Diversification and portfolio selection are integral parts of a finance curriculum. In this article, a multifactor capital asset pricing model is fit for components of the Dow Jones Composite Index using data from Yahoo! Finance. Along with the capital asset pricing model's Beta, other...