Correlation Between Goldman Sachs and SPDR SP
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and SPDR SP 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 SPDR SP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs ActiveBeta and SPDR SP 500, you can compare the effects of market volatilities on Goldman Sachs and SPDR SP 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 SPDR SP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and SPDR SP.
Diversification Opportunities for Goldman Sachs and SPDR SP
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between Goldman and SPDR is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs ActiveBeta and SPDR SP 500 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR SP 500 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 ActiveBeta are associated (or correlated) with SPDR SP. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR SP 500 has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and SPDR SP go up and down completely randomly.
Pair Corralation between Goldman Sachs and SPDR SP
Given the investment horizon of 90 days Goldman Sachs ActiveBeta is expected to under-perform the SPDR SP. But the etf apears to be less risky and, when comparing its historical volatility, Goldman Sachs ActiveBeta is 1.02 times less risky than SPDR SP. The etf trades about -0.22 of its potential returns per unit of risk. The SPDR SP 500 is currently generating about -0.21 of returns per unit of risk over similar time horizon. If you would invest 60,476 in SPDR SP 500 on October 15, 2024 and sell it today you would lose (2,427) from holding SPDR SP 500 or give up 4.01% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Goldman Sachs ActiveBeta vs. SPDR SP 500
Performance |
Timeline |
Goldman Sachs ActiveBeta |
SPDR SP 500 |
Goldman Sachs and SPDR SP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and SPDR SP
The main advantage of trading using opposite Goldman Sachs and SPDR SP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, SPDR SP 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 SPDR SP will offset losses from the drop in SPDR SP's long position.Goldman Sachs vs. Goldman Sachs ActiveBeta | Goldman Sachs vs. Goldman Sachs ActiveBeta | Goldman Sachs vs. iShares Equity Factor | Goldman Sachs vs. Goldman Sachs ActiveBeta |
SPDR SP vs. SPDR Gold Shares | SPDR SP vs. Vanguard Real Estate | SPDR SP vs. Vanguard Total Stock | SPDR SP vs. Vanguard FTSE Emerging |
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 Valuation module to check real value of public entities based on technical and fundamental data.
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