Correlation Between J+J SNACK and BEIJJINGNENG CLERGHYC1
Can any of the company-specific risk be diversified away by investing in both J+J SNACK and BEIJJINGNENG CLERGHYC1 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 J+J SNACK and BEIJJINGNENG CLERGHYC1 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JJ SNACK FOODS and BEIJJINGNENG CLERGHYC1, you can compare the effects of market volatilities on J+J SNACK and BEIJJINGNENG CLERGHYC1 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 J+J SNACK with a short position of BEIJJINGNENG CLERGHYC1. Check out your portfolio center. Please also check ongoing floating volatility patterns of J+J SNACK and BEIJJINGNENG CLERGHYC1.
Diversification Opportunities for J+J SNACK and BEIJJINGNENG CLERGHYC1
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between J+J and BEIJJINGNENG is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding JJ SNACK FOODS and BEIJJINGNENG CLERGHYC1 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BEIJJINGNENG CLERGHYC1 and J+J SNACK 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 JJ SNACK FOODS are associated (or correlated) with BEIJJINGNENG CLERGHYC1. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BEIJJINGNENG CLERGHYC1 has no effect on the direction of J+J SNACK i.e., J+J SNACK and BEIJJINGNENG CLERGHYC1 go up and down completely randomly.
Pair Corralation between J+J SNACK and BEIJJINGNENG CLERGHYC1
Assuming the 90 days trading horizon J+J SNACK is expected to generate 1.48 times less return on investment than BEIJJINGNENG CLERGHYC1. But when comparing it to its historical volatility, JJ SNACK FOODS is 3.1 times less risky than BEIJJINGNENG CLERGHYC1. It trades about 0.04 of its potential returns per unit of risk. BEIJJINGNENG CLERGHYC1 is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 22.00 in BEIJJINGNENG CLERGHYC1 on September 4, 2024 and sell it today you would lose (1.00) from holding BEIJJINGNENG CLERGHYC1 or give up 4.55% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.79% |
Values | Daily Returns |
JJ SNACK FOODS vs. BEIJJINGNENG CLERGHYC1
Performance |
Timeline |
JJ SNACK FOODS |
BEIJJINGNENG CLERGHYC1 |
J+J SNACK and BEIJJINGNENG CLERGHYC1 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with J+J SNACK and BEIJJINGNENG CLERGHYC1
The main advantage of trading using opposite J+J SNACK and BEIJJINGNENG CLERGHYC1 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if J+J SNACK position performs unexpectedly, BEIJJINGNENG CLERGHYC1 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 BEIJJINGNENG CLERGHYC1 will offset losses from the drop in BEIJJINGNENG CLERGHYC1's long position.J+J SNACK vs. Nestl SA | J+J SNACK vs. Kraft Heinz Co | J+J SNACK vs. General Mills | J+J SNACK vs. Kellogg Company |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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