Correlation Between Thanapiriya Public and TMC Industrial
Can any of the company-specific risk be diversified away by investing in both Thanapiriya Public and TMC Industrial 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 Thanapiriya Public and TMC Industrial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Thanapiriya Public and TMC Industrial Public, you can compare the effects of market volatilities on Thanapiriya Public and TMC Industrial 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 Thanapiriya Public with a short position of TMC Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Thanapiriya Public and TMC Industrial.
Diversification Opportunities for Thanapiriya Public and TMC Industrial
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Thanapiriya and TMC is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding Thanapiriya Public and TMC Industrial Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on TMC Industrial Public and Thanapiriya Public 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 Thanapiriya Public are associated (or correlated) with TMC Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of TMC Industrial Public has no effect on the direction of Thanapiriya Public i.e., Thanapiriya Public and TMC Industrial go up and down completely randomly.
Pair Corralation between Thanapiriya Public and TMC Industrial
Assuming the 90 days trading horizon Thanapiriya Public is expected to under-perform the TMC Industrial. But the stock apears to be less risky and, when comparing its historical volatility, Thanapiriya Public is 2.58 times less risky than TMC Industrial. The stock trades about -0.07 of its potential returns per unit of risk. The TMC Industrial Public is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 110.00 in TMC Industrial Public on September 15, 2024 and sell it today you would earn a total of 2.00 from holding TMC Industrial Public or generate 1.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Thanapiriya Public vs. TMC Industrial Public
Performance |
Timeline |
Thanapiriya Public |
TMC Industrial Public |
Thanapiriya Public and TMC Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Thanapiriya Public and TMC Industrial
The main advantage of trading using opposite Thanapiriya Public and TMC Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Thanapiriya Public position performs unexpectedly, TMC Industrial 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 TMC Industrial will offset losses from the drop in TMC Industrial's long position.Thanapiriya Public vs. Airports of Thailand | Thanapiriya Public vs. CP ALL Public | Thanapiriya Public vs. Charoen Pokphand Foods | Thanapiriya Public vs. Bangkok Dusit Medical |
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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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