| GSXPX Fund | | | USD 54.75 0.42 0.77% |
The current 90-days correlation between Goldman Sachs Small and Calamos Dynamic Convertible is 0.38 (i.e., Weak diversification). The correlation of Goldman Sachs is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak. If the correlation is 0, the equities are not correlated; they are entirely random.
Goldman Sachs Correlation With Market
Poor diversification
The correlation between Goldman Sachs Small and DJI is 0.7 (i.e., Poor diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Small and DJI in the same portfolio, assuming nothing else is changed.
Check out
Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Goldman Sachs Small. Also, note that the market value of any mutual fund could be closely tied with the direction of predictive economic indicators such as
signals in american community survey.
Correlation Matchups
Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.
High positive correlations | | High negative correlations |
Risk-Adjusted IndicatorsThere is a big difference between Goldman Mutual Fund performing well and Goldman Sachs Mutual Fund doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Goldman Sachs' multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.