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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.
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 .
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
These downsides apply to all risk-adjusted return measures that are ratios (e.g., Sortino ratio, Treynor ratio, upside-potential ratio, etc.). M 2 has the enormous advantage that it is in units of percentage return, which is instantly interpretable by virtually all investors.
The SFRatio has a striking similarity to the Sharpe ratio. Thus for normally distributed returns, Roy's Safety-first criterion—with the minimum acceptable return equal to the risk-free rate—provides the same conclusions about which portfolio to invest in as if we were picking the one with the maximum Sharpe ratio.
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.
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.