Correlation Between SPDR SP and Fidelity High
Can any of the company-specific risk be diversified away by investing in both SPDR SP and Fidelity High 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 SPDR SP and Fidelity High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR SP Dividend and Fidelity High Dividend, you can compare the effects of market volatilities on SPDR SP and Fidelity High 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 SPDR SP with a short position of Fidelity High. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR SP and Fidelity High.
Diversification Opportunities for SPDR SP and Fidelity High
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between SPDR and Fidelity is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding SPDR SP Dividend and Fidelity High Dividend in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity High Dividend and SPDR SP 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 SPDR SP Dividend are associated (or correlated) with Fidelity High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity High Dividend has no effect on the direction of SPDR SP i.e., SPDR SP and Fidelity High go up and down completely randomly.
Pair Corralation between SPDR SP and Fidelity High
Considering the 90-day investment horizon SPDR SP Dividend is expected to generate 1.05 times more return on investment than Fidelity High. However, SPDR SP is 1.05 times more volatile than Fidelity High Dividend. It trades about 0.43 of its potential returns per unit of risk. Fidelity High Dividend is currently generating about 0.37 per unit of risk. If you would invest 12,461 in SPDR SP Dividend on December 29, 2023 and sell it today you would earn a total of 671.61 from holding SPDR SP Dividend or generate 5.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.65% |
Values | Daily Returns |
SPDR SP Dividend vs. Fidelity High Dividend
Performance |
Timeline |
SPDR SP Dividend |
Fidelity High Dividend |
SPDR SP and Fidelity High Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR SP and Fidelity High
The main advantage of trading using opposite SPDR SP and Fidelity High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR SP position performs unexpectedly, Fidelity High 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 Fidelity High will offset losses from the drop in Fidelity High's long position.SPDR SP vs. Franklin Templeton ETF | SPDR SP vs. Altrius Global Dividend | SPDR SP vs. Invesco Exchange Traded | SPDR SP vs. Franklin International Core |
Fidelity High vs. Franklin Templeton ETF | Fidelity High vs. Altrius Global Dividend | Fidelity High vs. Invesco Exchange Traded | Fidelity High vs. Franklin International Core |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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