Correlation Between LIFENET INSURANCE and SIDETRADE
Can any of the company-specific risk be diversified away by investing in both LIFENET INSURANCE and SIDETRADE 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 LIFENET INSURANCE and SIDETRADE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LIFENET INSURANCE CO and SIDETRADE EO 1, you can compare the effects of market volatilities on LIFENET INSURANCE and SIDETRADE 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 LIFENET INSURANCE with a short position of SIDETRADE. Check out your portfolio center. Please also check ongoing floating volatility patterns of LIFENET INSURANCE and SIDETRADE.
Diversification Opportunities for LIFENET INSURANCE and SIDETRADE
-0.13 | Correlation Coefficient |
Good diversification
The 3 months correlation between LIFENET and SIDETRADE is -0.13. Overlapping area represents the amount of risk that can be diversified away by holding LIFENET INSURANCE CO and SIDETRADE EO 1 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SIDETRADE EO 1 and LIFENET INSURANCE 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 LIFENET INSURANCE CO are associated (or correlated) with SIDETRADE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SIDETRADE EO 1 has no effect on the direction of LIFENET INSURANCE i.e., LIFENET INSURANCE and SIDETRADE go up and down completely randomly.
Pair Corralation between LIFENET INSURANCE and SIDETRADE
Assuming the 90 days horizon LIFENET INSURANCE CO is expected to under-perform the SIDETRADE. But the stock apears to be less risky and, when comparing its historical volatility, LIFENET INSURANCE CO is 1.5 times less risky than SIDETRADE. The stock trades about -0.03 of its potential returns per unit of risk. The SIDETRADE EO 1 is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 22,000 in SIDETRADE EO 1 on December 30, 2024 and sell it today you would earn a total of 2,400 from holding SIDETRADE EO 1 or generate 10.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
LIFENET INSURANCE CO vs. SIDETRADE EO 1
Performance |
Timeline |
LIFENET INSURANCE |
SIDETRADE EO 1 |
LIFENET INSURANCE and SIDETRADE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LIFENET INSURANCE and SIDETRADE
The main advantage of trading using opposite LIFENET INSURANCE and SIDETRADE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LIFENET INSURANCE position performs unexpectedly, SIDETRADE 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 SIDETRADE will offset losses from the drop in SIDETRADE's long position.LIFENET INSURANCE vs. Q2M Managementberatung AG | LIFENET INSURANCE vs. Coor Service Management | LIFENET INSURANCE vs. East Africa Metals | LIFENET INSURANCE vs. CEOTRONICS |
SIDETRADE vs. bet at home AG | SIDETRADE vs. UNIVMUSIC GRPADR050 | SIDETRADE vs. UNIVERSAL MUSIC GROUP | SIDETRADE vs. Autohome ADR |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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