Correlation Between SPDR Barclays and Fidelity Low
Can any of the company-specific risk be diversified away by investing in both SPDR Barclays and Fidelity Low 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 Barclays and Fidelity Low into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SPDR Barclays Short and Fidelity Low Duration, you can compare the effects of market volatilities on SPDR Barclays and Fidelity Low 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 Barclays with a short position of Fidelity Low. Check out your portfolio center. Please also check ongoing floating volatility patterns of SPDR Barclays and Fidelity Low.
Diversification Opportunities for SPDR Barclays and Fidelity Low
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SPDR and Fidelity is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding SPDR Barclays Short and Fidelity Low Duration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fidelity Low Duration and SPDR Barclays 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 Barclays Short are associated (or correlated) with Fidelity Low. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fidelity Low Duration has no effect on the direction of SPDR Barclays i.e., SPDR Barclays and Fidelity Low go up and down completely randomly.
Pair Corralation between SPDR Barclays and Fidelity Low
Given the investment horizon of 90 days SPDR Barclays Short is expected to under-perform the Fidelity Low. But the etf apears to be less risky and, when comparing its historical volatility, SPDR Barclays Short is 1.3 times less risky than Fidelity Low. The etf trades about -0.05 of its potential returns per unit of risk. The Fidelity Low Duration is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 4,994 in Fidelity Low Duration on September 16, 2024 and sell it today you would earn a total of 48.00 from holding Fidelity Low Duration or generate 0.96% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SPDR Barclays Short vs. Fidelity Low Duration
Performance |
Timeline |
SPDR Barclays Short |
Fidelity Low Duration |
SPDR Barclays and Fidelity Low Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SPDR Barclays and Fidelity Low
The main advantage of trading using opposite SPDR Barclays and Fidelity Low positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SPDR Barclays position performs unexpectedly, Fidelity Low 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 Low will offset losses from the drop in Fidelity Low's long position.SPDR Barclays vs. SPDR Barclays Long | SPDR Barclays vs. SPDR Portfolio Intermediate | SPDR Barclays vs. SPDR Barclays Short | SPDR Barclays vs. SPDR Barclays Intermediate |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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