Correlation Between Feng Ching and Hsinjing Holding
Can any of the company-specific risk be diversified away by investing in both Feng Ching and Hsinjing Holding 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 Feng Ching and Hsinjing Holding into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Feng Ching Metal and Hsinjing Holding Co, you can compare the effects of market volatilities on Feng Ching and Hsinjing Holding 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 Feng Ching with a short position of Hsinjing Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Feng Ching and Hsinjing Holding.
Diversification Opportunities for Feng Ching and Hsinjing Holding
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Feng and Hsinjing is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Feng Ching Metal and Hsinjing Holding Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hsinjing Holding and Feng Ching 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 Feng Ching Metal are associated (or correlated) with Hsinjing Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hsinjing Holding has no effect on the direction of Feng Ching i.e., Feng Ching and Hsinjing Holding go up and down completely randomly.
Pair Corralation between Feng Ching and Hsinjing Holding
Assuming the 90 days trading horizon Feng Ching Metal is expected to under-perform the Hsinjing Holding. But the stock apears to be less risky and, when comparing its historical volatility, Feng Ching Metal is 1.13 times less risky than Hsinjing Holding. The stock trades about -0.27 of its potential returns per unit of risk. The Hsinjing Holding Co is currently generating about -0.08 of returns per unit of risk over similar time horizon. If you would invest 2,260 in Hsinjing Holding Co on October 9, 2024 and sell it today you would lose (95.00) from holding Hsinjing Holding Co or give up 4.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.24% |
Values | Daily Returns |
Feng Ching Metal vs. Hsinjing Holding Co
Performance |
Timeline |
Feng Ching Metal |
Hsinjing Holding |
Feng Ching and Hsinjing Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Feng Ching and Hsinjing Holding
The main advantage of trading using opposite Feng Ching and Hsinjing Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Feng Ching position performs unexpectedly, Hsinjing Holding 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 Hsinjing Holding will offset losses from the drop in Hsinjing Holding's long position.Feng Ching vs. U Media Communications | Feng Ching vs. Information Technology Total | Feng Ching vs. Datavan International | Feng Ching vs. Quanta Storage |
Hsinjing Holding vs. United Renewable Energy | Hsinjing Holding vs. TSEC Corp | Hsinjing Holding vs. Tainergy Tech Co | Hsinjing Holding vs. Danen Technology Corp |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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