Correlation Between JAPAN AIRLINES and SENECA FOODS
Can any of the company-specific risk be diversified away by investing in both JAPAN AIRLINES and SENECA FOODS 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 JAPAN AIRLINES and SENECA FOODS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JAPAN AIRLINES and SENECA FOODS A, you can compare the effects of market volatilities on JAPAN AIRLINES and SENECA FOODS 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 JAPAN AIRLINES with a short position of SENECA FOODS. Check out your portfolio center. Please also check ongoing floating volatility patterns of JAPAN AIRLINES and SENECA FOODS.
Diversification Opportunities for JAPAN AIRLINES and SENECA FOODS
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between JAPAN and SENECA is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding JAPAN AIRLINES and SENECA FOODS A in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SENECA FOODS A and JAPAN AIRLINES 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 JAPAN AIRLINES are associated (or correlated) with SENECA FOODS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SENECA FOODS A has no effect on the direction of JAPAN AIRLINES i.e., JAPAN AIRLINES and SENECA FOODS go up and down completely randomly.
Pair Corralation between JAPAN AIRLINES and SENECA FOODS
Assuming the 90 days trading horizon JAPAN AIRLINES is expected to under-perform the SENECA FOODS. But the stock apears to be less risky and, when comparing its historical volatility, JAPAN AIRLINES is 1.94 times less risky than SENECA FOODS. The stock trades about -0.01 of its potential returns per unit of risk. The SENECA FOODS A is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 5,250 in SENECA FOODS A on September 22, 2024 and sell it today you would earn a total of 2,000 from holding SENECA FOODS A or generate 38.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
JAPAN AIRLINES vs. SENECA FOODS A
Performance |
Timeline |
JAPAN AIRLINES |
SENECA FOODS A |
JAPAN AIRLINES and SENECA FOODS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JAPAN AIRLINES and SENECA FOODS
The main advantage of trading using opposite JAPAN AIRLINES and SENECA FOODS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JAPAN AIRLINES position performs unexpectedly, SENECA FOODS 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 SENECA FOODS will offset losses from the drop in SENECA FOODS's long position.JAPAN AIRLINES vs. Amkor Technology | JAPAN AIRLINES vs. SCOTT TECHNOLOGY | JAPAN AIRLINES vs. UNITED RENTALS | JAPAN AIRLINES vs. Air Lease |
SENECA FOODS vs. CPU SOFTWAREHOUSE | SENECA FOODS vs. Alfa Financial Software | SENECA FOODS vs. UPDATE SOFTWARE | SENECA FOODS vs. Guidewire Software |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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