Correlation Between Cathay Financial and Taita Chemical
Can any of the company-specific risk be diversified away by investing in both Cathay Financial and Taita Chemical 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 Cathay Financial and Taita Chemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cathay Financial Holding and Taita Chemical Co, you can compare the effects of market volatilities on Cathay Financial and Taita Chemical 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 Cathay Financial with a short position of Taita Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cathay Financial and Taita Chemical.
Diversification Opportunities for Cathay Financial and Taita Chemical
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Cathay and Taita is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Cathay Financial Holding and Taita Chemical Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Taita Chemical and Cathay 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 Cathay Financial Holding are associated (or correlated) with Taita Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Taita Chemical has no effect on the direction of Cathay Financial i.e., Cathay Financial and Taita Chemical go up and down completely randomly.
Pair Corralation between Cathay Financial and Taita Chemical
Assuming the 90 days trading horizon Cathay Financial Holding is expected to generate 0.45 times more return on investment than Taita Chemical. However, Cathay Financial Holding is 2.21 times less risky than Taita Chemical. It trades about -0.32 of its potential returns per unit of risk. Taita Chemical Co is currently generating about -0.35 per unit of risk. If you would invest 6,960 in Cathay Financial Holding on September 3, 2024 and sell it today you would lose (390.00) from holding Cathay Financial Holding or give up 5.6% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Cathay Financial Holding vs. Taita Chemical Co
Performance |
| Timeline |
| Cathay Financial Holding |
| Taita Chemical |
Cathay Financial and Taita Chemical Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Cathay Financial and Taita Chemical
The main advantage of trading using opposite Cathay Financial and Taita Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cathay Financial position performs unexpectedly, Taita Chemical 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 Taita Chemical will offset losses from the drop in Taita Chemical's long position.| Cathay Financial vs. Fubon Financial Holding | Cathay Financial vs. CTBC Financial Holding | Cathay Financial vs. Mega Financial Holding | Cathay Financial vs. First Financial Holding |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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