This paper proposes a filtering methodology for portfolio optimization when some factors of the underlying model are only partially observed. The level of information is given by the observed quantities that are here supposed to be the primary securities and empirical log-price covariations. For a given level of information we determine the growth optimal portfolio, identify locally optimal por...

The mean-variance formulation by Markowitz in 1956 and its efficient solution by Wolfe in 1959 paved a foundation for modern portfolio selection. In this work we start reviewing basic concepts about portfolio selection, showing one starting solution and then the mean-variance analysis proposed by Markowitz. We show an algorithm for efficient frontier derivation, proposed by Wolfe, and analyze t...

Combinatorial optimization has been a workhorse of financial and risk management, and it has spawned a large number of real-life applications. Prominent in this body of research is the mean-variance efficient frontier (MVEF) that emanates from the portfolio optimization problem (POP), pioneered by Harry Markowitz. A textbook version of POP minimizes risk for a given expected return on a portfol...

This paper is concerned with mean-variance portfolio selection problems in continuoustime under the constraint that short-selling of stocks is prohibited. The problem is formulated as a stochastic optimal linear-quadratic (LQ) control problem. However, this LQ problem is not a conventional one in that the control (portfolio) is constrained to take nonnegative values due to the no-shorting restr...

Soccer spread betting is analysed using standard probabilistic methods assuming that goals are scored in a match according to Poisson distributions with constant means. A number of different possible forms of ‘edge’ (betting advantage) is identified. It is shown how the centre spreads of the more common bets in the ‘bet universe’ may be calculated. A more general question is then addressed, nam...

We present a framework for inverse optimization in a Markowitz portfolio model that is extended to include a third criterion. The third criterion causes the traditional nondominated frontier to become a surface. Until recently, it had not been possible to compute such a surface. But by using a new method that is able to generate the nondominated surfaces of tri-criterion portfolio selection pro...

This work gives a brief overview of the portfolio selection problem following the mean-risk approach first proposed by Markowitz (1952). We consider various risk measures, i.e. variance, value-at-risk and expected-shortfall and we study the efficient frontiers obtained by solving the portfolio selection problem under these measures. We show that under the assumption that returns are normally di...

A test for the ex ante efficiency of a given portfolio of assets is analyzed. The relevant statistic has a tractable small sample distribution. Its power function is derived and used to study the sensitivity of the test to the portfolio choice and to the number of assets used to determine the ex post mean-variance efficient frontier. Several intuitive interpretations of the test are provided, i...

This paper is concerned with a continuous-time mean-variance portfolio selection model that is formulated as a bicriteria optimization problem. The objective is to maximize the expected terminal return and minimize the variance of the terminal wealth. By putting weights on the two criteria one obtains a single objective stochastic control problem which is however not in the standard form due to...

In finance, the most efficient portfolio is tangency portfolio, which formed by intersection point of frontier and capital market line. This paper defines explores a time-varying under nonlinear constraints (TV-TPNC) problem as programming (NLP) problem. Because meta-heuristics are commonly used to solve NLP problems, semi-integer beetle antennae search (SIBAS) algorithm proposed for solving ca...