Correlation Between Communication Services and SPDR SP
Can any of the company-specific risk be diversified away by investing in both Communication Services 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 Communication Services and SPDR SP into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Communication Services Select and SPDR SP Telecom, you can compare the effects of market volatilities on Communication Services 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 Communication Services with a short position of SPDR SP. Check out your portfolio center. Please also check ongoing floating volatility patterns of Communication Services and SPDR SP.
Diversification Opportunities for Communication Services and SPDR SP
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Communication and SPDR is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Communication Services Select and SPDR SP Telecom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SPDR SP Telecom and Communication Services 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 Communication Services Select 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 Telecom has no effect on the direction of Communication Services i.e., Communication Services and SPDR SP go up and down completely randomly.
Pair Corralation between Communication Services and SPDR SP
Considering the 90-day investment horizon Communication Services Select is expected to generate 0.62 times more return on investment than SPDR SP. However, Communication Services Select is 1.61 times less risky than SPDR SP. It trades about -0.01 of its potential returns per unit of risk. SPDR SP Telecom is currently generating about -0.05 per unit of risk. If you would invest 9,684 in Communication Services Select on December 30, 2024 and sell it today you would lose (110.00) from holding Communication Services Select or give up 1.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Communication Services Select vs. SPDR SP Telecom
Performance |
Timeline |
Communication Services |
SPDR SP Telecom |
Communication Services and SPDR SP Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Communication Services and SPDR SP
The main advantage of trading using opposite Communication Services and SPDR SP positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Communication Services 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.Communication Services vs. The Real Estate | Communication Services vs. Consumer Discretionary Select | Communication Services vs. Materials Select Sector | Communication Services vs. Industrial Select Sector |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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