Correlation Between Goldman Sachs and ProShares Trust
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and ProShares Trust 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 Goldman Sachs and ProShares Trust into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs Future and ProShares Trust , you can compare the effects of market volatilities on Goldman Sachs and ProShares Trust 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 Goldman Sachs with a short position of ProShares Trust. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and ProShares Trust.
Diversification Opportunities for Goldman Sachs and ProShares Trust
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Goldman and ProShares is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Future and ProShares Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ProShares Trust and Goldman Sachs 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 Goldman Sachs Future are associated (or correlated) with ProShares Trust. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ProShares Trust has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and ProShares Trust go up and down completely randomly.
Pair Corralation between Goldman Sachs and ProShares Trust
Given the investment horizon of 90 days Goldman Sachs Future is expected to under-perform the ProShares Trust. But the etf apears to be less risky and, when comparing its historical volatility, Goldman Sachs Future is 4.0 times less risky than ProShares Trust. The etf trades about -0.3 of its potential returns per unit of risk. The ProShares Trust is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 2,280 in ProShares Trust on October 6, 2024 and sell it today you would lose (8.00) from holding ProShares Trust or give up 0.35% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Goldman Sachs Future vs. ProShares Trust
Performance |
Timeline |
Goldman Sachs Future |
ProShares Trust |
Goldman Sachs and ProShares Trust Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and ProShares Trust
The main advantage of trading using opposite Goldman Sachs and ProShares Trust positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, ProShares Trust 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 ProShares Trust will offset losses from the drop in ProShares Trust's long position.Goldman Sachs vs. Goldman Sachs ETF | Goldman Sachs vs. Goldman Sachs Future | Goldman Sachs vs. Goldman Sachs Future | Goldman Sachs vs. Goldman Sachs Future |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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