Correlation Between Abrdn Physical and SPDR Gold
Can any of the company-specific risk be diversified away by investing in both Abrdn Physical and SPDR Gold 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 Abrdn Physical and SPDR Gold into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between abrdn Physical Silver and SPDR Gold Shares, you can compare the effects of market volatilities on Abrdn Physical and SPDR Gold 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 Abrdn Physical with a short position of SPDR Gold. Check out your portfolio center. Please also check ongoing floating volatility patterns of Abrdn Physical and SPDR Gold.
Diversification Opportunities for Abrdn Physical and SPDR Gold
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Abrdn and SPDR is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding abrdn Physical Silver and SPDR Gold Shares in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR Gold Shares and Abrdn Physical 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 abrdn Physical Silver are associated (or correlated) with SPDR Gold. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SPDR Gold Shares has no effect on the direction of Abrdn Physical i.e., Abrdn Physical and SPDR Gold go up and down completely randomly.
Pair Corralation between Abrdn Physical and SPDR Gold
Given the investment horizon of 90 days Abrdn Physical is expected to generate 2.7 times less return on investment than SPDR Gold. In addition to that, Abrdn Physical is 1.49 times more volatile than SPDR Gold Shares. It trades about 0.05 of its total potential returns per unit of risk. SPDR Gold Shares is currently generating about 0.19 per unit of volatility. If you would invest 24,109 in SPDR Gold Shares on November 18, 2024 and sell it today you would earn a total of 2,520 from holding SPDR Gold Shares or generate 10.45% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
abrdn Physical Silver vs. SPDR Gold Shares
Performance |
| Timeline |
| abrdn Physical Silver |
| SPDR Gold Shares |
Abrdn Physical and SPDR Gold Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Abrdn Physical and SPDR Gold
The main advantage of trading using opposite Abrdn Physical and SPDR Gold positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Abrdn Physical position performs unexpectedly, SPDR Gold 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 Gold will offset losses from the drop in SPDR Gold's long position.| Abrdn Physical vs. abrdn Physical Gold | Abrdn Physical vs. abrdn Physical Platinum | Abrdn Physical vs. abrdn Physical Palladium | Abrdn Physical vs. ProShares Ultra Silver |
| SPDR Gold vs. iShares Silver Trust | SPDR Gold vs. VanEck Gold Miners | SPDR Gold vs. SPDR SP 500 | SPDR Gold vs. United States Oil |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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