Correlation Between Cathay Nasdaq and YuantaP Shares
Can any of the company-specific risk be diversified away by investing in both Cathay Nasdaq and YuantaP Shares 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 Nasdaq and YuantaP Shares into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cathay Nasdaq AI and YuantaP shares Taiwan Top, you can compare the effects of market volatilities on Cathay Nasdaq and YuantaP Shares 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 Nasdaq with a short position of YuantaP Shares. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cathay Nasdaq and YuantaP Shares.
Diversification Opportunities for Cathay Nasdaq and YuantaP Shares
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Cathay and YuantaP is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Cathay Nasdaq AI and YuantaP shares Taiwan Top in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on YuantaP shares Taiwan and Cathay Nasdaq 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 Nasdaq AI are associated (or correlated) with YuantaP Shares. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of YuantaP shares Taiwan has no effect on the direction of Cathay Nasdaq i.e., Cathay Nasdaq and YuantaP Shares go up and down completely randomly.
Pair Corralation between Cathay Nasdaq and YuantaP Shares
Assuming the 90 days trading horizon Cathay Nasdaq AI is expected to generate 0.85 times more return on investment than YuantaP Shares. However, Cathay Nasdaq AI is 1.17 times less risky than YuantaP Shares. It trades about 0.14 of its potential returns per unit of risk. YuantaP shares Taiwan Top is currently generating about 0.05 per unit of risk. If you would invest 3,042 in Cathay Nasdaq AI on September 3, 2024 and sell it today you would earn a total of 315.00 from holding Cathay Nasdaq AI or generate 10.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.24% |
Values | Daily Returns |
Cathay Nasdaq AI vs. YuantaP shares Taiwan Top
Performance |
Timeline |
Cathay Nasdaq AI |
YuantaP shares Taiwan |
Cathay Nasdaq and YuantaP Shares Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cathay Nasdaq and YuantaP Shares
The main advantage of trading using opposite Cathay Nasdaq and YuantaP Shares positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cathay Nasdaq position performs unexpectedly, YuantaP Shares 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 YuantaP Shares will offset losses from the drop in YuantaP Shares' long position.Cathay Nasdaq vs. Cathay Taiwan 5G | Cathay Nasdaq vs. Ruentex Development Co | Cathay Nasdaq vs. Symtek Automation Asia | Cathay Nasdaq vs. CTCI Corp |
YuantaP Shares vs. Cathay Taiwan 5G | YuantaP Shares vs. Ruentex Development Co | YuantaP Shares vs. Symtek Automation Asia | YuantaP Shares vs. CTCI Corp |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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