Correlation Between CTBC Financial and Gloria Material
Can any of the company-specific risk be diversified away by investing in both CTBC Financial and Gloria Material 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 Gloria Material 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 Gloria Material Technology, you can compare the effects of market volatilities on CTBC Financial and Gloria Material 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 Gloria Material. Check out your portfolio center. Please also check ongoing floating volatility patterns of CTBC Financial and Gloria Material.
Diversification Opportunities for CTBC Financial and Gloria Material
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between CTBC and Gloria is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding CTBC Financial Holding and Gloria Material Technology in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gloria Material Tech 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 Gloria Material. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gloria Material Tech has no effect on the direction of CTBC Financial i.e., CTBC Financial and Gloria Material go up and down completely randomly.
Pair Corralation between CTBC Financial and Gloria Material
Assuming the 90 days trading horizon CTBC Financial Holding is expected to generate 0.26 times more return on investment than Gloria Material. However, CTBC Financial Holding is 3.89 times less risky than Gloria Material. It trades about 0.36 of its potential returns per unit of risk. Gloria Material Technology is currently generating about -0.15 per unit of risk. If you would invest 5,660 in CTBC Financial Holding on October 12, 2024 and sell it today you would earn a total of 140.00 from holding CTBC Financial Holding or generate 2.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CTBC Financial Holding vs. Gloria Material Technology
Performance |
Timeline |
CTBC Financial Holding |
Gloria Material Tech |
CTBC Financial and Gloria Material Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CTBC Financial and Gloria Material
The main advantage of trading using opposite CTBC Financial and Gloria Material positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CTBC Financial position performs unexpectedly, Gloria Material 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 Gloria Material will offset losses from the drop in Gloria Material's long position.CTBC Financial vs. Asmedia Technology | CTBC Financial vs. CVC Technologies | CTBC Financial vs. Union Insurance Co | CTBC Financial vs. Century Iron And |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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