Correlation Between BJs Restaurants and Japan Post
Can any of the company-specific risk be diversified away by investing in both BJs Restaurants and Japan Post 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 BJs Restaurants and Japan Post into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BJs Restaurants and Japan Post Insurance, you can compare the effects of market volatilities on BJs Restaurants and Japan Post 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 BJs Restaurants with a short position of Japan Post. Check out your portfolio center. Please also check ongoing floating volatility patterns of BJs Restaurants and Japan Post.
Diversification Opportunities for BJs Restaurants and Japan Post
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between BJs and Japan is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding BJs Restaurants and Japan Post Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Japan Post Insurance and BJs Restaurants 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 BJs Restaurants are associated (or correlated) with Japan Post. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Japan Post Insurance has no effect on the direction of BJs Restaurants i.e., BJs Restaurants and Japan Post go up and down completely randomly.
Pair Corralation between BJs Restaurants and Japan Post
Assuming the 90 days trading horizon BJs Restaurants is expected to generate 1.41 times more return on investment than Japan Post. However, BJs Restaurants is 1.41 times more volatile than Japan Post Insurance. It trades about 0.1 of its potential returns per unit of risk. Japan Post Insurance is currently generating about 0.06 per unit of risk. If you would invest 2,600 in BJs Restaurants on December 10, 2024 and sell it today you would earn a total of 720.00 from holding BJs Restaurants or generate 27.69% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
BJs Restaurants vs. Japan Post Insurance
Performance |
| Timeline |
| BJs Restaurants |
| Japan Post Insurance |
BJs Restaurants and Japan Post Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with BJs Restaurants and Japan Post
The main advantage of trading using opposite BJs Restaurants and Japan Post positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BJs Restaurants position performs unexpectedly, Japan Post 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 Japan Post will offset losses from the drop in Japan Post's long position.| BJs Restaurants vs. Geely Automobile Holdings | BJs Restaurants vs. T MOBILE INCDL 00001 | BJs Restaurants vs. WILLIS LEASE FIN | BJs Restaurants vs. Cairo Communication SpA |
| Japan Post vs. Aegean Airlines SA | Japan Post vs. Nok Airlines PCL | Japan Post vs. CN MODERN DAIRY | Japan Post vs. Ebro Foods SA |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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