Correlation Between Hua Eng and UPC Technology
Can any of the company-specific risk be diversified away by investing in both Hua Eng and UPC 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 Hua Eng and UPC Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hua Eng Wire and UPC Technology Corp, you can compare the effects of market volatilities on Hua Eng and UPC 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 Hua Eng with a short position of UPC Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hua Eng and UPC Technology.
Diversification Opportunities for Hua Eng and UPC Technology
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hua and UPC is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Hua Eng Wire and UPC Technology Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UPC Technology Corp and Hua Eng 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 Hua Eng Wire are associated (or correlated) with UPC Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UPC Technology Corp has no effect on the direction of Hua Eng i.e., Hua Eng and UPC Technology go up and down completely randomly.
Pair Corralation between Hua Eng and UPC Technology
Assuming the 90 days trading horizon Hua Eng Wire is expected to generate 1.01 times more return on investment than UPC Technology. However, Hua Eng is 1.01 times more volatile than UPC Technology Corp. It trades about -0.13 of its potential returns per unit of risk. UPC Technology Corp is currently generating about -0.17 per unit of risk. If you would invest 3,000 in Hua Eng Wire on September 2, 2024 and sell it today you would lose (140.00) from holding Hua Eng Wire or give up 4.67% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Hua Eng Wire vs. UPC Technology Corp
Performance |
| Timeline |
| Hua Eng Wire |
| UPC Technology Corp |
Hua Eng and UPC Technology Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hua Eng and UPC Technology
The main advantage of trading using opposite Hua Eng and UPC Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hua Eng position performs unexpectedly, UPC 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 UPC Technology will offset losses from the drop in UPC Technology's long position.| Hua Eng vs. Walsin Lihwa Corp | Hua Eng vs. Ta Ya Electric | Hua Eng vs. Hong Tai Electric | Hua Eng vs. Sampo Corp |
| UPC Technology vs. Basso Industry Corp | UPC Technology vs. Chung Hsin Electric Machinery | UPC Technology vs. TYC Brother Industrial | UPC Technology vs. TECO Electric Machinery |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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