Correlation Between Tehmag Foods and International CSRC
Can any of the company-specific risk be diversified away by investing in both Tehmag Foods and International CSRC 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 Tehmag Foods and International CSRC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tehmag Foods and International CSRC Investment, you can compare the effects of market volatilities on Tehmag Foods and International CSRC 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 Tehmag Foods with a short position of International CSRC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tehmag Foods and International CSRC.
Diversification Opportunities for Tehmag Foods and International CSRC
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Tehmag and International is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Tehmag Foods and International CSRC Investment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on International CSRC and Tehmag 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 Tehmag Foods are associated (or correlated) with International CSRC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of International CSRC has no effect on the direction of Tehmag Foods i.e., Tehmag Foods and International CSRC go up and down completely randomly.
Pair Corralation between Tehmag Foods and International CSRC
Assuming the 90 days trading horizon Tehmag Foods is expected to generate 0.3 times more return on investment than International CSRC. However, Tehmag Foods is 3.31 times less risky than International CSRC. It trades about 0.04 of its potential returns per unit of risk. International CSRC Investment is currently generating about -0.28 per unit of risk. If you would invest 31,000 in Tehmag Foods on September 23, 2024 and sell it today you would earn a total of 200.00 from holding Tehmag Foods or generate 0.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Tehmag Foods vs. International CSRC Investment
Performance |
Timeline |
Tehmag Foods |
International CSRC |
Tehmag Foods and International CSRC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tehmag Foods and International CSRC
The main advantage of trading using opposite Tehmag Foods and International CSRC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tehmag Foods position performs unexpectedly, International CSRC 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 International CSRC will offset losses from the drop in International CSRC's long position.Tehmag Foods vs. Uni President Enterprises Corp | Tehmag Foods vs. Tingyi Holding Corp | Tehmag Foods vs. Lien Hwa Industrial | Tehmag Foods vs. Great Wall Enterprise |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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