Correlation Between TMBThanachart Bank and General Mills
Can any of the company-specific risk be diversified away by investing in both TMBThanachart Bank and General Mills 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 TMBThanachart Bank and General Mills into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TMBThanachart Bank Public and General Mills, you can compare the effects of market volatilities on TMBThanachart Bank and General Mills 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 TMBThanachart Bank with a short position of General Mills. Check out your portfolio center. Please also check ongoing floating volatility patterns of TMBThanachart Bank and General Mills.
Diversification Opportunities for TMBThanachart Bank and General Mills
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between TMBThanachart and General is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding TMBThanachart Bank Public and General Mills in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on General Mills and TMBThanachart Bank 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 TMBThanachart Bank Public are associated (or correlated) with General Mills. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of General Mills has no effect on the direction of TMBThanachart Bank i.e., TMBThanachart Bank and General Mills go up and down completely randomly.
Pair Corralation between TMBThanachart Bank and General Mills
Assuming the 90 days trading horizon TMBThanachart Bank Public is expected to under-perform the General Mills. In addition to that, TMBThanachart Bank is 1.24 times more volatile than General Mills. It trades about -0.01 of its total potential returns per unit of risk. General Mills is currently generating about 0.18 per unit of volatility. If you would invest 7,458 in General Mills on September 18, 2024 and sell it today you would earn a total of 1,399 from holding General Mills or generate 18.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
TMBThanachart Bank Public vs. General Mills
Performance |
Timeline |
TMBThanachart Bank Public |
General Mills |
TMBThanachart Bank and General Mills Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TMBThanachart Bank and General Mills
The main advantage of trading using opposite TMBThanachart Bank and General Mills positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TMBThanachart Bank position performs unexpectedly, General Mills 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 General Mills will offset losses from the drop in General Mills' long position.TMBThanachart Bank vs. China Merchants Bank | TMBThanachart Bank vs. HDFC Bank Limited | TMBThanachart Bank vs. ICICI Bank Limited | TMBThanachart Bank vs. PT Bank Central |
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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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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