Correlation Between Spirent Communications and SCANSOURCE
Can any of the company-specific risk be diversified away by investing in both Spirent Communications and SCANSOURCE 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 Spirent Communications and SCANSOURCE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Spirent Communications plc and SCANSOURCE, you can compare the effects of market volatilities on Spirent Communications and SCANSOURCE 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 Spirent Communications with a short position of SCANSOURCE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Spirent Communications and SCANSOURCE.
Diversification Opportunities for Spirent Communications and SCANSOURCE
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Spirent and SCANSOURCE is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Spirent Communications plc and SCANSOURCE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCANSOURCE and Spirent Communications 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 Spirent Communications plc are associated (or correlated) with SCANSOURCE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCANSOURCE has no effect on the direction of Spirent Communications i.e., Spirent Communications and SCANSOURCE go up and down completely randomly.
Pair Corralation between Spirent Communications and SCANSOURCE
Assuming the 90 days horizon Spirent Communications is expected to generate 1.35 times less return on investment than SCANSOURCE. But when comparing it to its historical volatility, Spirent Communications plc is 2.17 times less risky than SCANSOURCE. It trades about 0.11 of its potential returns per unit of risk. SCANSOURCE is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 4,260 in SCANSOURCE on September 30, 2024 and sell it today you would earn a total of 400.00 from holding SCANSOURCE or generate 9.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Spirent Communications plc vs. SCANSOURCE
Performance |
Timeline |
Spirent Communications |
SCANSOURCE |
Spirent Communications and SCANSOURCE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Spirent Communications and SCANSOURCE
The main advantage of trading using opposite Spirent Communications and SCANSOURCE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Spirent Communications position performs unexpectedly, SCANSOURCE 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 SCANSOURCE will offset losses from the drop in SCANSOURCE's long position.Spirent Communications vs. MELIA HOTELS | Spirent Communications vs. KENNAMETAL INC | Spirent Communications vs. Hyatt Hotels | Spirent Communications vs. Meli Hotels International |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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