Correlation Between Needham Small and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Needham Small and Goldman Sachs at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Needham Small and Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Needham Small Cap and Goldman Sachs Equity, you can compare the effects of market volatilities on Needham Small and Goldman Sachs and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Needham Small with a short position of Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Needham Small and Goldman Sachs.
Diversification Opportunities for Needham Small and Goldman Sachs
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Needham and Goldman is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding Needham Small Cap and Goldman Sachs Equity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Equity and Needham Small is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Needham Small Cap are associated (or correlated) with Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs Equity has no effect on the direction of Needham Small i.e., Needham Small and Goldman Sachs go up and down completely randomly.
Pair Corralation between Needham Small and Goldman Sachs
Assuming the 90 days horizon Needham Small Cap is expected to generate 0.99 times more return on investment than Goldman Sachs. However, Needham Small Cap is 1.01 times less risky than Goldman Sachs. It trades about -0.15 of its potential returns per unit of risk. Goldman Sachs Equity is currently generating about -0.22 per unit of risk. If you would invest 1,935 in Needham Small Cap on October 3, 2024 and sell it today you would lose (88.00) from holding Needham Small Cap or give up 4.55% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Needham Small Cap vs. Goldman Sachs Equity
Performance |
Timeline |
Needham Small Cap |
Goldman Sachs Equity |
Needham Small and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Needham Small and Goldman Sachs
The main advantage of trading using opposite Needham Small and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Needham Small position performs unexpectedly, Goldman Sachs can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.Needham Small vs. Needham Aggressive Growth | Needham Small vs. Needham Growth Fund | Needham Small vs. Baron Opportunity Fund | Needham Small vs. Jacob Micro Cap |
Goldman Sachs vs. Americafirst Large Cap | Goldman Sachs vs. Westcore Global Large Cap | Goldman Sachs vs. Fidelity Series 1000 | Goldman Sachs vs. Dunham Large Cap |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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