Correlation Between Flowers Foods and Chiba Bank
Can any of the company-specific risk be diversified away by investing in both Flowers Foods and Chiba Bank 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 Flowers Foods and Chiba Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Flowers Foods and Chiba Bank, you can compare the effects of market volatilities on Flowers Foods and Chiba Bank 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 Flowers Foods with a short position of Chiba Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Flowers Foods and Chiba Bank.
Diversification Opportunities for Flowers Foods and Chiba Bank
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Flowers and Chiba is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding Flowers Foods and Chiba Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chiba Bank and Flowers Foods 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 Flowers Foods are associated (or correlated) with Chiba Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chiba Bank has no effect on the direction of Flowers Foods i.e., Flowers Foods and Chiba Bank go up and down completely randomly.
Pair Corralation between Flowers Foods and Chiba Bank
Assuming the 90 days horizon Flowers Foods is expected to under-perform the Chiba Bank. But the stock apears to be less risky and, when comparing its historical volatility, Flowers Foods is 2.26 times less risky than Chiba Bank. The stock trades about -0.41 of its potential returns per unit of risk. The Chiba Bank is currently generating about -0.03 of returns per unit of risk over similar time horizon. If you would invest 745.00 in Chiba Bank on September 29, 2024 and sell it today you would lose (10.00) from holding Chiba Bank or give up 1.34% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Flowers Foods vs. Chiba Bank
Performance |
Timeline |
Flowers Foods |
Chiba Bank |
Flowers Foods and Chiba Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Flowers Foods and Chiba Bank
The main advantage of trading using opposite Flowers Foods and Chiba Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Flowers Foods position performs unexpectedly, Chiba Bank 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 Chiba Bank will offset losses from the drop in Chiba Bank's long position.Flowers Foods vs. Mowi ASA | Flowers Foods vs. LEROY SEAFOOD GRUNSPADR | Flowers Foods vs. Lery Seafood Group | Flowers Foods vs. Nisshin Seifun Group |
Chiba Bank vs. Suntory Beverage Food | Chiba Bank vs. Tsingtao Brewery | Chiba Bank vs. ScanSource | Chiba Bank vs. BOSTON BEER A |
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 Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
Other Complementary Tools
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities |