Correlation Between Tex Cycle and PIE Industrial
Can any of the company-specific risk be diversified away by investing in both Tex Cycle and PIE 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 Tex Cycle and PIE Industrial 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 PIE Industrial Bhd, you can compare the effects of market volatilities on Tex Cycle and PIE 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 Tex Cycle with a short position of PIE Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tex Cycle and PIE Industrial.
Diversification Opportunities for Tex Cycle and PIE Industrial
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Tex and PIE is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding Tex Cycle Technology and PIE Industrial Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PIE Industrial Bhd 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 PIE Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PIE Industrial Bhd has no effect on the direction of Tex Cycle i.e., Tex Cycle and PIE Industrial go up and down completely randomly.
Pair Corralation between Tex Cycle and PIE Industrial
Assuming the 90 days trading horizon Tex Cycle Technology is expected to generate 0.4 times more return on investment than PIE Industrial. However, Tex Cycle Technology is 2.5 times less risky than PIE Industrial. It trades about -0.33 of its potential returns per unit of risk. PIE Industrial Bhd is currently generating about -0.51 per unit of risk. If you would invest 111.00 in Tex Cycle Technology on November 4, 2024 and sell it today you would lose (7.00) from holding Tex Cycle Technology or give up 6.31% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 95.0% |
| Values | Daily Returns |
Tex Cycle Technology vs. PIE Industrial Bhd
Performance |
| Timeline |
| Tex Cycle Technology |
| PIE Industrial Bhd |
Tex Cycle and PIE Industrial Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Tex Cycle and PIE Industrial
The main advantage of trading using opposite Tex Cycle and PIE Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tex Cycle position performs unexpectedly, PIE 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 PIE Industrial will offset losses from the drop in PIE Industrial's long position.| Tex Cycle vs. Kluang Rubber | Tex Cycle vs. Berjaya Food Bhd | Tex Cycle vs. CB Industrial Product | Tex Cycle vs. Kossan Rubber Industries |
| PIE Industrial vs. Kobay Tech Bhd | PIE Industrial vs. Systech Bhd | PIE Industrial vs. Radiant Globaltech Bhd | PIE Industrial vs. Pantech Group Holdings |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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