Correlation Between Tsingtao Brewery and Canon Marketing
Can any of the company-specific risk be diversified away by investing in both Tsingtao Brewery and Canon Marketing 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 Tsingtao Brewery and Canon Marketing into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tsingtao Brewery and Canon Marketing Japan, you can compare the effects of market volatilities on Tsingtao Brewery and Canon Marketing 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 Tsingtao Brewery with a short position of Canon Marketing. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tsingtao Brewery and Canon Marketing.
Diversification Opportunities for Tsingtao Brewery and Canon Marketing
0.01 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Tsingtao and Canon is 0.01. Overlapping area represents the amount of risk that can be diversified away by holding Tsingtao Brewery and Canon Marketing Japan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canon Marketing Japan and Tsingtao Brewery 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 Tsingtao Brewery are associated (or correlated) with Canon Marketing. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canon Marketing Japan has no effect on the direction of Tsingtao Brewery i.e., Tsingtao Brewery and Canon Marketing go up and down completely randomly.
Pair Corralation between Tsingtao Brewery and Canon Marketing
Assuming the 90 days trading horizon Tsingtao Brewery is expected to under-perform the Canon Marketing. In addition to that, Tsingtao Brewery is 1.15 times more volatile than Canon Marketing Japan. It trades about -0.09 of its total potential returns per unit of risk. Canon Marketing Japan is currently generating about 0.04 per unit of volatility. If you would invest 2,920 in Canon Marketing Japan on April 20, 2025 and sell it today you would earn a total of 80.00 from holding Canon Marketing Japan or generate 2.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Tsingtao Brewery vs. Canon Marketing Japan
Performance |
Timeline |
Tsingtao Brewery |
Canon Marketing Japan |
Tsingtao Brewery and Canon Marketing Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tsingtao Brewery and Canon Marketing
The main advantage of trading using opposite Tsingtao Brewery and Canon Marketing positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tsingtao Brewery position performs unexpectedly, Canon Marketing 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 Canon Marketing will offset losses from the drop in Canon Marketing's long position.Tsingtao Brewery vs. HK Electric Investments | Tsingtao Brewery vs. Scottish Mortgage Investment | Tsingtao Brewery vs. Genco Shipping Trading | Tsingtao Brewery vs. ECHO INVESTMENT ZY |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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