Correlation Between LIFENET INSURANCE and AOYAMA TRADING
Can any of the company-specific risk be diversified away by investing in both LIFENET INSURANCE and AOYAMA TRADING 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 AOYAMA TRADING 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 AOYAMA TRADING, you can compare the effects of market volatilities on LIFENET INSURANCE and AOYAMA TRADING 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 AOYAMA TRADING. Check out your portfolio center. Please also check ongoing floating volatility patterns of LIFENET INSURANCE and AOYAMA TRADING.
Diversification Opportunities for LIFENET INSURANCE and AOYAMA TRADING
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between LIFENET and AOYAMA is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding LIFENET INSURANCE CO and AOYAMA TRADING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AOYAMA TRADING 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 AOYAMA TRADING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AOYAMA TRADING has no effect on the direction of LIFENET INSURANCE i.e., LIFENET INSURANCE and AOYAMA TRADING go up and down completely randomly.
Pair Corralation between LIFENET INSURANCE and AOYAMA TRADING
Assuming the 90 days horizon LIFENET INSURANCE CO is expected to under-perform the AOYAMA TRADING. In addition to that, LIFENET INSURANCE is 1.45 times more volatile than AOYAMA TRADING. It trades about -0.13 of its total potential returns per unit of risk. AOYAMA TRADING is currently generating about 0.32 per unit of volatility. If you would invest 1,270 in AOYAMA TRADING on September 17, 2024 and sell it today you would earn a total of 140.00 from holding AOYAMA TRADING or generate 11.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
LIFENET INSURANCE CO vs. AOYAMA TRADING
Performance |
Timeline |
LIFENET INSURANCE |
AOYAMA TRADING |
LIFENET INSURANCE and AOYAMA TRADING Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LIFENET INSURANCE and AOYAMA TRADING
The main advantage of trading using opposite LIFENET INSURANCE and AOYAMA TRADING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LIFENET INSURANCE position performs unexpectedly, AOYAMA TRADING 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 AOYAMA TRADING will offset losses from the drop in AOYAMA TRADING's long position.LIFENET INSURANCE vs. Xtrackers LevDAX | LIFENET INSURANCE vs. Lyxor 1 | LIFENET INSURANCE vs. Xtrackers ShortDAX |
AOYAMA TRADING vs. Burlington Stores | AOYAMA TRADING vs. Caseys General Stores | AOYAMA TRADING vs. Ross Stores | AOYAMA TRADING vs. Columbia Sportswear |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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