Correlation Between Khgears International and Hai Kwang
Can any of the company-specific risk be diversified away by investing in both Khgears International and Hai Kwang 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 Khgears International and Hai Kwang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Khgears International Limited and Hai Kwang Enterprise, you can compare the effects of market volatilities on Khgears International and Hai Kwang 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 Khgears International with a short position of Hai Kwang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Khgears International and Hai Kwang.
Diversification Opportunities for Khgears International and Hai Kwang
-0.61 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Khgears and Hai is -0.61. Overlapping area represents the amount of risk that can be diversified away by holding Khgears International Limited and Hai Kwang Enterprise in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hai Kwang Enterprise and Khgears International 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 Khgears International Limited are associated (or correlated) with Hai Kwang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hai Kwang Enterprise has no effect on the direction of Khgears International i.e., Khgears International and Hai Kwang go up and down completely randomly.
Pair Corralation between Khgears International and Hai Kwang
Assuming the 90 days trading horizon Khgears International Limited is expected to generate 2.47 times more return on investment than Hai Kwang. However, Khgears International is 2.47 times more volatile than Hai Kwang Enterprise. It trades about 0.31 of its potential returns per unit of risk. Hai Kwang Enterprise is currently generating about -0.28 per unit of risk. If you would invest 16,900 in Khgears International Limited on September 26, 2024 and sell it today you would earn a total of 10,500 from holding Khgears International Limited or generate 62.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 97.67% |
Values | Daily Returns |
Khgears International Limited vs. Hai Kwang Enterprise
Performance |
Timeline |
Khgears International |
Hai Kwang Enterprise |
Khgears International and Hai Kwang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Khgears International and Hai Kwang
The main advantage of trading using opposite Khgears International and Hai Kwang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Khgears International position performs unexpectedly, Hai Kwang 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 Hai Kwang will offset losses from the drop in Hai Kwang's long position.Khgears International vs. Hiwin Technologies Corp | Khgears International vs. Brighton Best International Taiwan | Khgears International vs. San Shing Fastech | Khgears International vs. QST International |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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