Correlation Between YuantaP Shares and Cathay Dow
Can any of the company-specific risk be diversified away by investing in both YuantaP Shares and Cathay Dow 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 YuantaP Shares and Cathay Dow into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between YuantaP shares Taiwan Top and Cathay Dow Jones, you can compare the effects of market volatilities on YuantaP Shares and Cathay Dow 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 YuantaP Shares with a short position of Cathay Dow. Check out your portfolio center. Please also check ongoing floating volatility patterns of YuantaP Shares and Cathay Dow.
Diversification Opportunities for YuantaP Shares and Cathay Dow
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between YuantaP and Cathay is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding YuantaP shares Taiwan Top and Cathay Dow Jones in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cathay Dow Jones and YuantaP Shares 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 YuantaP shares Taiwan Top are associated (or correlated) with Cathay Dow. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cathay Dow Jones has no effect on the direction of YuantaP Shares i.e., YuantaP Shares and Cathay Dow go up and down completely randomly.
Pair Corralation between YuantaP Shares and Cathay Dow
Assuming the 90 days trading horizon YuantaP shares Taiwan Top is expected to generate 1.64 times more return on investment than Cathay Dow. However, YuantaP Shares is 1.64 times more volatile than Cathay Dow Jones. It trades about 0.13 of its potential returns per unit of risk. Cathay Dow Jones is currently generating about 0.13 per unit of risk. If you would invest 17,875 in YuantaP shares Taiwan Top on September 16, 2024 and sell it today you would earn a total of 1,655 from holding YuantaP shares Taiwan Top or generate 9.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.31% |
Values | Daily Returns |
YuantaP shares Taiwan Top vs. Cathay Dow Jones
Performance |
Timeline |
YuantaP shares Taiwan |
Cathay Dow Jones |
YuantaP Shares and Cathay Dow Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with YuantaP Shares and Cathay Dow
The main advantage of trading using opposite YuantaP Shares and Cathay Dow positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if YuantaP Shares position performs unexpectedly, Cathay Dow 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 Cathay Dow will offset losses from the drop in Cathay Dow's long position.YuantaP Shares vs. YuantaP shares MSCI Taiwan | YuantaP Shares vs. YuantaP shares Taiwan GreTai | YuantaP Shares vs. YuantaP shares SSE50 | YuantaP Shares vs. YuantaP shares Taiwan Mid Cap |
Cathay Dow vs. YuantaP shares Taiwan Top | Cathay Dow vs. Yuanta Daily Taiwan | Cathay Dow vs. Cathay Taiwan 5G | Cathay Dow vs. Yuanta Daily CSI |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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