Correlation Between Chung Hsin and Leatec Fine
Can any of the company-specific risk be diversified away by investing in both Chung Hsin and Leatec Fine 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 Chung Hsin and Leatec Fine into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Chung Hsin Electric Machinery and Leatec Fine Ceramics, you can compare the effects of market volatilities on Chung Hsin and Leatec Fine 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 Chung Hsin with a short position of Leatec Fine. Check out your portfolio center. Please also check ongoing floating volatility patterns of Chung Hsin and Leatec Fine.
Diversification Opportunities for Chung Hsin and Leatec Fine
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Chung and Leatec is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Chung Hsin Electric Machinery and Leatec Fine Ceramics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Leatec Fine Ceramics and Chung Hsin 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 Chung Hsin Electric Machinery are associated (or correlated) with Leatec Fine. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Leatec Fine Ceramics has no effect on the direction of Chung Hsin i.e., Chung Hsin and Leatec Fine go up and down completely randomly.
Pair Corralation between Chung Hsin and Leatec Fine
Assuming the 90 days trading horizon Chung Hsin is expected to generate 1.01 times less return on investment than Leatec Fine. But when comparing it to its historical volatility, Chung Hsin Electric Machinery is 1.72 times less risky than Leatec Fine. It trades about 0.27 of its potential returns per unit of risk. Leatec Fine Ceramics is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 1,665 in Leatec Fine Ceramics on April 23, 2025 and sell it today you would earn a total of 455.00 from holding Leatec Fine Ceramics or generate 27.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Chung Hsin Electric Machinery vs. Leatec Fine Ceramics
Performance |
Timeline |
Chung Hsin Electric |
Leatec Fine Ceramics |
Chung Hsin and Leatec Fine Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Chung Hsin and Leatec Fine
The main advantage of trading using opposite Chung Hsin and Leatec Fine positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Chung Hsin position performs unexpectedly, Leatec Fine 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 Leatec Fine will offset losses from the drop in Leatec Fine's long position.Chung Hsin vs. TECO Electric Machinery | Chung Hsin vs. Fortune Electric Co | Chung Hsin vs. Taiwan Cement Corp | Chung Hsin vs. Walsin Lihwa Corp |
Leatec Fine vs. Chief Telecom | Leatec Fine vs. RiTdisplay Corp | Leatec Fine vs. Nova Technology | Leatec Fine vs. Maxigen Biotech |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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