Correlation Between Chong Hong and Chung Hsin
Can any of the company-specific risk be diversified away by investing in both Chong Hong and Chung Hsin 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 Chong Hong and Chung Hsin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chong Hong Construction and Chung Hsin Electric Machinery, you can compare the effects of market volatilities on Chong Hong and Chung Hsin 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 Chong Hong with a short position of Chung Hsin. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chong Hong and Chung Hsin.
Diversification Opportunities for Chong Hong and Chung Hsin
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Chong and Chung is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Chong Hong Construction and Chung Hsin Electric Machinery in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chung Hsin Electric and Chong Hong 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 Chong Hong Construction are associated (or correlated) with Chung Hsin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chung Hsin Electric has no effect on the direction of Chong Hong i.e., Chong Hong and Chung Hsin go up and down completely randomly.
Pair Corralation between Chong Hong and Chung Hsin
Assuming the 90 days trading horizon Chong Hong is expected to generate 3.89 times less return on investment than Chung Hsin. But when comparing it to its historical volatility, Chong Hong Construction is 1.49 times less risky than Chung Hsin. It trades about 0.03 of its potential returns per unit of risk. Chung Hsin Electric Machinery is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 6,650 in Chung Hsin Electric Machinery on September 15, 2024 and sell it today you would earn a total of 8,650 from holding Chung Hsin Electric Machinery or generate 130.08% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Chong Hong Construction vs. Chung Hsin Electric Machinery
Performance |
Timeline |
Chong Hong Construction |
Chung Hsin Electric |
Chong Hong and Chung Hsin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chong Hong and Chung Hsin
The main advantage of trading using opposite Chong Hong and Chung Hsin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chong Hong position performs unexpectedly, Chung Hsin 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 Chung Hsin will offset losses from the drop in Chung Hsin's long position.Chong Hong vs. Huaku Development Co | Chong Hong vs. Farglory Land Development | Chong Hong vs. Highwealth Construction Corp | Chong Hong vs. Ruentex Development Co |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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