Correlation Between Ji Haw and Skardin Industrial
Can any of the company-specific risk be diversified away by investing in both Ji Haw and Skardin 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 Ji Haw and Skardin Industrial 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 Skardin Industrial, you can compare the effects of market volatilities on Ji Haw and Skardin 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 Ji Haw with a short position of Skardin Industrial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ji Haw and Skardin Industrial.
Diversification Opportunities for Ji Haw and Skardin Industrial
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between 3011 and Skardin is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Ji Haw Industrial Co and Skardin Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Skardin Industrial 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 Skardin Industrial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Skardin Industrial has no effect on the direction of Ji Haw i.e., Ji Haw and Skardin Industrial go up and down completely randomly.
Pair Corralation between Ji Haw and Skardin Industrial
Assuming the 90 days trading horizon Ji Haw is expected to generate 16.47 times less return on investment than Skardin Industrial. But when comparing it to its historical volatility, Ji Haw Industrial Co is 1.25 times less risky than Skardin Industrial. It trades about 0.01 of its potential returns per unit of risk. Skardin Industrial is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 5,700 in Skardin Industrial on December 5, 2024 and sell it today you would earn a total of 320.00 from holding Skardin Industrial or generate 5.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Ji Haw Industrial Co vs. Skardin Industrial
Performance |
Timeline |
Ji Haw Industrial |
Skardin Industrial |
Ji Haw and Skardin Industrial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ji Haw and Skardin Industrial
The main advantage of trading using opposite Ji Haw and Skardin Industrial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ji Haw position performs unexpectedly, Skardin 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 Skardin Industrial will offset losses from the drop in Skardin Industrial's long position.Ji Haw vs. Chenming Mold Industrial | Ji Haw vs. Tripod Technology Corp | Ji Haw vs. Asia Optical Co | Ji Haw vs. Welltend Technology Corp |
Skardin Industrial vs. ECOVE Environment Corp | Skardin Industrial vs. Feng Hsin Steel | Skardin Industrial vs. Yieh United Steel | Skardin Industrial vs. Camellia Metal Co |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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