Correlation Between Tex Cycle and Petronas Chemicals
Can any of the company-specific risk be diversified away by investing in both Tex Cycle and Petronas Chemicals 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 Tex Cycle and Petronas Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tex Cycle Technology and Petronas Chemicals Group, you can compare the effects of market volatilities on Tex Cycle and Petronas Chemicals 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 Tex Cycle with a short position of Petronas Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tex Cycle and Petronas Chemicals.
Diversification Opportunities for Tex Cycle and Petronas Chemicals
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Tex and Petronas is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Tex Cycle Technology and Petronas Chemicals Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Petronas Chemicals and Tex Cycle 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 Tex Cycle Technology are associated (or correlated) with Petronas Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Petronas Chemicals has no effect on the direction of Tex Cycle i.e., Tex Cycle and Petronas Chemicals go up and down completely randomly.
Pair Corralation between Tex Cycle and Petronas Chemicals
Assuming the 90 days trading horizon Tex Cycle Technology is expected to generate 0.62 times more return on investment than Petronas Chemicals. However, Tex Cycle Technology is 1.61 times less risky than Petronas Chemicals. It trades about 0.04 of its potential returns per unit of risk. Petronas Chemicals Group is currently generating about -0.1 per unit of risk. If you would invest 108.00 in Tex Cycle Technology on October 6, 2024 and sell it today you would earn a total of 3.00 from holding Tex Cycle Technology or generate 2.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Tex Cycle Technology vs. Petronas Chemicals Group
Performance |
Timeline |
Tex Cycle Technology |
Petronas Chemicals |
Tex Cycle and Petronas Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tex Cycle and Petronas Chemicals
The main advantage of trading using opposite Tex Cycle and Petronas Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tex Cycle position performs unexpectedly, Petronas Chemicals 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 Petronas Chemicals will offset losses from the drop in Petronas Chemicals' long position.Tex Cycle vs. Computer Forms Bhd | Tex Cycle vs. MClean Technologies Bhd | Tex Cycle vs. Tenaga Nasional Bhd | Tex Cycle vs. Genetec Technology Bhd |
Petronas Chemicals vs. Datasonic Group Bhd | Petronas Chemicals vs. Choo Bee Metal | Petronas Chemicals vs. Computer Forms Bhd | Petronas Chemicals vs. Tex Cycle Technology |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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