Correlation Between JF Technology and Tex Cycle
Can any of the company-specific risk be diversified away by investing in both JF Technology and Tex Cycle 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 JF Technology and Tex Cycle into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JF Technology BHD and Tex Cycle Technology, you can compare the effects of market volatilities on JF Technology and Tex Cycle 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 JF Technology with a short position of Tex Cycle. Check out your portfolio center. Please also check ongoing floating volatility patterns of JF Technology and Tex Cycle.
Diversification Opportunities for JF Technology and Tex Cycle
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between 0146 and Tex is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding JF Technology BHD and Tex Cycle Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tex Cycle Technology and JF Technology 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 JF Technology BHD are associated (or correlated) with Tex Cycle. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tex Cycle Technology has no effect on the direction of JF Technology i.e., JF Technology and Tex Cycle go up and down completely randomly.
Pair Corralation between JF Technology and Tex Cycle
Assuming the 90 days trading horizon JF Technology BHD is expected to under-perform the Tex Cycle. In addition to that, JF Technology is 1.21 times more volatile than Tex Cycle Technology. It trades about -0.26 of its total potential returns per unit of risk. Tex Cycle Technology is currently generating about -0.2 per unit of volatility. If you would invest 112.00 in Tex Cycle Technology on December 30, 2024 and sell it today you would lose (29.00) from holding Tex Cycle Technology or give up 25.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
JF Technology BHD vs. Tex Cycle Technology
Performance |
Timeline |
JF Technology BHD |
Tex Cycle Technology |
JF Technology and Tex Cycle Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with JF Technology and Tex Cycle
The main advantage of trading using opposite JF Technology and Tex Cycle positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JF Technology position performs unexpectedly, Tex Cycle 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 Tex Cycle will offset losses from the drop in Tex Cycle's long position.JF Technology vs. Malaysia Steel Works | JF Technology vs. YTL Hospitality REIT | JF Technology vs. Binasat Communications Bhd | JF Technology vs. Public Packages Holdings |
Tex Cycle vs. Petronas Chemicals Group | Tex Cycle vs. British American Tobacco | Tex Cycle vs. Lyc Healthcare Bhd | Tex Cycle vs. DC HEALTHCARE 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 Valuation module to check real value of public entities based on technical and fundamental data.
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