Correlation Between CTBC Financial and Chernan Metal
Can any of the company-specific risk be diversified away by investing in both CTBC Financial and Chernan Metal 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 CTBC Financial and Chernan Metal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CTBC Financial Holding and Chernan Metal Industrial, you can compare the effects of market volatilities on CTBC Financial and Chernan Metal 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 CTBC Financial with a short position of Chernan Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of CTBC Financial and Chernan Metal.
Diversification Opportunities for CTBC Financial and Chernan Metal
-0.85 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between CTBC and Chernan is -0.85. Overlapping area represents the amount of risk that can be diversified away by holding CTBC Financial Holding and Chernan Metal Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Chernan Metal Industrial and CTBC Financial 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 CTBC Financial Holding are associated (or correlated) with Chernan Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Chernan Metal Industrial has no effect on the direction of CTBC Financial i.e., CTBC Financial and Chernan Metal go up and down completely randomly.
Pair Corralation between CTBC Financial and Chernan Metal
Assuming the 90 days trading horizon CTBC Financial Holding is expected to generate 0.05 times more return on investment than Chernan Metal. However, CTBC Financial Holding is 18.72 times less risky than Chernan Metal. It trades about 0.33 of its potential returns per unit of risk. Chernan Metal Industrial is currently generating about -0.24 per unit of risk. If you would invest 6,080 in CTBC Financial Holding on September 23, 2024 and sell it today you would earn a total of 60.00 from holding CTBC Financial Holding or generate 0.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CTBC Financial Holding vs. Chernan Metal Industrial
Performance |
Timeline |
CTBC Financial Holding |
Chernan Metal Industrial |
CTBC Financial and Chernan Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CTBC Financial and Chernan Metal
The main advantage of trading using opposite CTBC Financial and Chernan Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CTBC Financial position performs unexpectedly, Chernan Metal 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 Chernan Metal will offset losses from the drop in Chernan Metal's long position.CTBC Financial vs. Asia Metal Industries | CTBC Financial vs. Yi Jinn Industrial | CTBC Financial vs. Fu Burg Industrial | CTBC Financial vs. Sunspring Metal Corp |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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