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The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. [1] It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return , while the Sharpe ratio penalizes both upside and downside volatility equally.
Sortino and Steven Satchell at Cambridge University co-authored the first book on PMPT. This was intended as a graduate seminar text in portfolio management. A more recent book by Sortino was written for practitioners. The first publication in a major journal was co-authored by Sortino and Dr. Robert van der Meer, then at Shell Oil Netherlands.
Sharpe ratio; Signal-to-noise ratio; Signal-to-noise statistic; Sortino ratio; Standard score; Standardized moment; Standardized mortality ratio; Strikeout-to-walk ratio; Studentization; Studentized range; Studentized residual; Survival rate
The upside-potential ratio is a measure of a return of an investment asset relative to the minimal acceptable return. The measurement allows a firm or individual to choose investments which have had relatively good upside performance, per unit of downside risk .
Portfolio optimization is the process of selecting an optimal portfolio (asset distribution), out of a set of considered portfolios, according to some objective.The objective typically maximizes factors such as expected return, and minimizes costs like financial risk, resulting in a multi-objective optimization problem.
In the ex-ante analysis, optimal portfolio problems based on the Rachev ratio are, generally, numerically hard to solve because the Rachev ratio is a fraction of two CVaRs which are convex functions of portfolio weights. In effect, the Rachev ratio, if viewed as a function of portfolio weights, may have many local extrema. [6]
The standard form of the Omega ratio is a non-convex function, but it is possible to optimize a transformed version using linear programming. [4] To begin with, Kapsos et al. show that the Omega ratio of a portfolio is: = [() +] + The optimization problem that maximizes the Omega ratio is given by: [() +], (), =, The objective function is non-convex, so several ...
In this posting titled, “Sortino ratio”, Rom states: “The Sortino ratio was created in 1993 by Brian Rom.” The fact is: At the direction of Dr. Sortino, Dr. Forsey wrote the source code to calculate the Sortino ratio for the PRI software Rom was marketing long before Rom’s 1993 article.