Correlation Between Spirent Communications and LVMH Mot
Can any of the company-specific risk be diversified away by investing in both Spirent Communications and LVMH Mot 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 LVMH Mot 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 LVMH Mot Hennessy, you can compare the effects of market volatilities on Spirent Communications and LVMH Mot 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 LVMH Mot. Check out your portfolio center. Please also check ongoing floating volatility patterns of Spirent Communications and LVMH Mot.
Diversification Opportunities for Spirent Communications and LVMH Mot
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Spirent and LVMH is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Spirent Communications plc and LVMH Mot Hennessy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LVMH Mot Hennessy 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 LVMH Mot. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LVMH Mot Hennessy has no effect on the direction of Spirent Communications i.e., Spirent Communications and LVMH Mot go up and down completely randomly.
Pair Corralation between Spirent Communications and LVMH Mot
Assuming the 90 days horizon Spirent Communications plc is expected to generate 0.48 times more return on investment than LVMH Mot. However, Spirent Communications plc is 2.06 times less risky than LVMH Mot. It trades about 0.12 of its potential returns per unit of risk. LVMH Mot Hennessy is currently generating about 0.06 per unit of risk. If you would invest 202.00 in Spirent Communications plc on September 23, 2024 and sell it today you would earn a total of 16.00 from holding Spirent Communications plc or generate 7.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Spirent Communications plc vs. LVMH Mot Hennessy
Performance |
Timeline |
Spirent Communications |
LVMH Mot Hennessy |
Spirent Communications and LVMH Mot Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Spirent Communications and LVMH Mot
The main advantage of trading using opposite Spirent Communications and LVMH Mot positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Spirent Communications position performs unexpectedly, LVMH Mot 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 LVMH Mot will offset losses from the drop in LVMH Mot's long position.Spirent Communications vs. T Mobile | Spirent Communications vs. China Mobile Limited | Spirent Communications vs. Verizon Communications | Spirent Communications vs. ATT Inc |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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