Correlation Between TKrungthai Industries and Well Graded
Can any of the company-specific risk be diversified away by investing in both TKrungthai Industries and Well Graded 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 TKrungthai Industries and Well Graded into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between TKrungthai Industries Public and Well Graded Engineering, you can compare the effects of market volatilities on TKrungthai Industries and Well Graded 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 TKrungthai Industries with a short position of Well Graded. Check out your portfolio center. Please also check ongoing floating volatility patterns of TKrungthai Industries and Well Graded.
Diversification Opportunities for TKrungthai Industries and Well Graded
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between TKrungthai and Well is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding TKrungthai Industries Public and Well Graded Engineering in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Well Graded Engineering and TKrungthai Industries 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 TKrungthai Industries Public are associated (or correlated) with Well Graded. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Well Graded Engineering has no effect on the direction of TKrungthai Industries i.e., TKrungthai Industries and Well Graded go up and down completely randomly.
Pair Corralation between TKrungthai Industries and Well Graded
Assuming the 90 days trading horizon TKrungthai Industries Public is expected to generate 0.71 times more return on investment than Well Graded. However, TKrungthai Industries Public is 1.4 times less risky than Well Graded. It trades about -0.04 of its potential returns per unit of risk. Well Graded Engineering is currently generating about -0.07 per unit of risk. If you would invest 173.00 in TKrungthai Industries Public on September 4, 2024 and sell it today you would lose (10.00) from holding TKrungthai Industries Public or give up 5.78% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
TKrungthai Industries Public vs. Well Graded Engineering
Performance |
Timeline |
TKrungthai Industries |
Well Graded Engineering |
TKrungthai Industries and Well Graded Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with TKrungthai Industries and Well Graded
The main advantage of trading using opposite TKrungthai Industries and Well Graded positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if TKrungthai Industries position performs unexpectedly, Well Graded 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 Well Graded will offset losses from the drop in Well Graded's long position.TKrungthai Industries vs. Central Pattana Public | TKrungthai Industries vs. CP ALL Public | TKrungthai Industries vs. Bangkok Dusit Medical | TKrungthai Industries vs. Airports of Thailand |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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