Correlation Between Hiwin Technologies and Kung Long
Can any of the company-specific risk be diversified away by investing in both Hiwin Technologies and Kung Long 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 Hiwin Technologies and Kung Long into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hiwin Technologies Corp and Kung Long Batteries, you can compare the effects of market volatilities on Hiwin Technologies and Kung Long 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 Hiwin Technologies with a short position of Kung Long. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hiwin Technologies and Kung Long.
Diversification Opportunities for Hiwin Technologies and Kung Long
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Hiwin and Kung is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Hiwin Technologies Corp and Kung Long Batteries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kung Long Batteries and Hiwin Technologies 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 Hiwin Technologies Corp are associated (or correlated) with Kung Long. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kung Long Batteries has no effect on the direction of Hiwin Technologies i.e., Hiwin Technologies and Kung Long go up and down completely randomly.
Pair Corralation between Hiwin Technologies and Kung Long
Assuming the 90 days trading horizon Hiwin Technologies Corp is expected to generate 2.28 times more return on investment than Kung Long. However, Hiwin Technologies is 2.28 times more volatile than Kung Long Batteries. It trades about 0.04 of its potential returns per unit of risk. Kung Long Batteries is currently generating about 0.04 per unit of risk. If you would invest 18,100 in Hiwin Technologies Corp on September 15, 2024 and sell it today you would earn a total of 6,700 from holding Hiwin Technologies Corp or generate 37.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Hiwin Technologies Corp vs. Kung Long Batteries
Performance |
Timeline |
Hiwin Technologies Corp |
Kung Long Batteries |
Hiwin Technologies and Kung Long Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hiwin Technologies and Kung Long
The main advantage of trading using opposite Hiwin Technologies and Kung Long positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hiwin Technologies position performs unexpectedly, Kung Long 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 Kung Long will offset losses from the drop in Kung Long's long position.Hiwin Technologies vs. Airtac International Group | Hiwin Technologies vs. Delta Electronics | Hiwin Technologies vs. LARGAN Precision Co | Hiwin Technologies vs. Advantech 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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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