Correlation Between Cathay Financial and Golden Long
Can any of the company-specific risk be diversified away by investing in both Cathay Financial and Golden Long 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 Golden Long 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 Golden Long Teng, you can compare the effects of market volatilities on Cathay Financial and Golden Long 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 Golden Long. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cathay Financial and Golden Long.
Diversification Opportunities for Cathay Financial and Golden Long
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Cathay and Golden is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Cathay Financial Holding and Golden Long Teng in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Golden Long Teng 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 Golden Long. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Golden Long Teng has no effect on the direction of Cathay Financial i.e., Cathay Financial and Golden Long go up and down completely randomly.
Pair Corralation between Cathay Financial and Golden Long
Assuming the 90 days trading horizon Cathay Financial Holding is expected to under-perform the Golden Long. But the stock apears to be less risky and, when comparing its historical volatility, Cathay Financial Holding is 1.56 times less risky than Golden Long. The stock trades about -0.02 of its potential returns per unit of risk. The Golden Long Teng is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 2,785 in Golden Long Teng on December 10, 2024 and sell it today you would earn a total of 350.00 from holding Golden Long Teng or generate 12.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Cathay Financial Holding vs. Golden Long Teng
Performance |
Timeline |
Cathay Financial Holding |
Golden Long Teng |
Cathay Financial and Golden Long Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cathay Financial and Golden Long
The main advantage of trading using opposite Cathay Financial and Golden Long positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cathay Financial position performs unexpectedly, Golden Long 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 Golden Long will offset losses from the drop in Golden Long'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 |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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