Correlation Between Ji Haw and Tripod Technology
Can any of the company-specific risk be diversified away by investing in both Ji Haw and Tripod Technology 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 Ji Haw and Tripod Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ji Haw Industrial Co and Tripod Technology Corp, you can compare the effects of market volatilities on Ji Haw and Tripod Technology 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 Ji Haw with a short position of Tripod Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ji Haw and Tripod Technology.
Diversification Opportunities for Ji Haw and Tripod Technology
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between 3011 and Tripod is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Ji Haw Industrial Co and Tripod Technology Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tripod Technology Corp and Ji Haw 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 Ji Haw Industrial Co are associated (or correlated) with Tripod Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tripod Technology Corp has no effect on the direction of Ji Haw i.e., Ji Haw and Tripod Technology go up and down completely randomly.
Pair Corralation between Ji Haw and Tripod Technology
Assuming the 90 days trading horizon Ji Haw is expected to generate 1.52 times less return on investment than Tripod Technology. In addition to that, Ji Haw is 1.05 times more volatile than Tripod Technology Corp. It trades about 0.05 of its total potential returns per unit of risk. Tripod Technology Corp is currently generating about 0.07 per unit of volatility. If you would invest 9,680 in Tripod Technology Corp on September 17, 2024 and sell it today you would earn a total of 9,820 from holding Tripod Technology Corp or generate 101.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ji Haw Industrial Co vs. Tripod Technology Corp
Performance |
Timeline |
Ji Haw Industrial |
Tripod Technology Corp |
Ji Haw and Tripod Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ji Haw and Tripod Technology
The main advantage of trading using opposite Ji Haw and Tripod Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ji Haw position performs unexpectedly, Tripod Technology 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 Tripod Technology will offset losses from the drop in Tripod Technology's long position.Ji Haw vs. AU Optronics | Ji Haw vs. Innolux Corp | Ji Haw vs. Ruentex Development Co | Ji Haw vs. WiseChip Semiconductor |
Tripod Technology vs. AU Optronics | Tripod Technology vs. Innolux Corp | Tripod Technology vs. Ruentex Development Co | Tripod Technology vs. WiseChip Semiconductor |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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