Correlation Between Solartron Public and Thai Capital
Can any of the company-specific risk be diversified away by investing in both Solartron Public and Thai Capital 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 Solartron Public and Thai Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Solartron Public and Thai Capital, you can compare the effects of market volatilities on Solartron Public and Thai Capital 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 Solartron Public with a short position of Thai Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Solartron Public and Thai Capital.
Diversification Opportunities for Solartron Public and Thai Capital
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Solartron and Thai is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Solartron Public and Thai Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thai Capital and Solartron 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 Solartron Public are associated (or correlated) with Thai Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thai Capital has no effect on the direction of Solartron Public i.e., Solartron Public and Thai Capital go up and down completely randomly.
Pair Corralation between Solartron Public and Thai Capital
Assuming the 90 days trading horizon Solartron Public is expected to under-perform the Thai Capital. In addition to that, Solartron Public is 1.55 times more volatile than Thai Capital. It trades about -0.34 of its total potential returns per unit of risk. Thai Capital is currently generating about -0.08 per unit of volatility. If you would invest 30.00 in Thai Capital on December 1, 2024 and sell it today you would lose (2.00) from holding Thai Capital or give up 6.67% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Solartron Public vs. Thai Capital
Performance |
| Timeline |
| Solartron Public |
| Thai Capital |
Solartron Public and Thai Capital Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Solartron Public and Thai Capital
The main advantage of trading using opposite Solartron Public and Thai Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Solartron Public position performs unexpectedly, Thai Capital 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 Thai Capital will offset losses from the drop in Thai Capital's long position.| Solartron Public vs. Super Energy | Solartron Public vs. RPCG Public | Solartron Public vs. Thoresen Thai Agencies | Solartron Public vs. Precious Shipping Public |
| Thai Capital vs. RPCG Public | Thai Capital vs. Solartron Public | Thai Capital vs. Star Petroleum Refining | Thai Capital vs. Super Energy |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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