Correlation Between YuantaP Shares and Fubon MSCI
Can any of the company-specific risk be diversified away by investing in both YuantaP Shares and Fubon MSCI 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 Fubon MSCI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between YuantaP shares Taiwan Electronics and Fubon MSCI Taiwan, you can compare the effects of market volatilities on YuantaP Shares and Fubon MSCI 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 Fubon MSCI. Check out your portfolio center. Please also check ongoing floating volatility patterns of YuantaP Shares and Fubon MSCI.
Diversification Opportunities for YuantaP Shares and Fubon MSCI
0.99 | Correlation Coefficient |
No risk reduction
The 3 months correlation between YuantaP and Fubon is 0.99. Overlapping area represents the amount of risk that can be diversified away by holding YuantaP shares Taiwan Electron and Fubon MSCI Taiwan in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fubon MSCI Taiwan 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 Electronics are associated (or correlated) with Fubon MSCI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fubon MSCI Taiwan has no effect on the direction of YuantaP Shares i.e., YuantaP Shares and Fubon MSCI go up and down completely randomly.
Pair Corralation between YuantaP Shares and Fubon MSCI
Assuming the 90 days trading horizon YuantaP shares Taiwan Electronics is expected to under-perform the Fubon MSCI. But the etf apears to be less risky and, when comparing its historical volatility, YuantaP shares Taiwan Electronics is 1.04 times less risky than Fubon MSCI. The etf trades about -0.14 of its potential returns per unit of risk. The Fubon MSCI Taiwan is currently generating about -0.06 of returns per unit of risk over similar time horizon. If you would invest 14,400 in Fubon MSCI Taiwan on August 27, 2024 and sell it today you would lose (225.00) from holding Fubon MSCI Taiwan or give up 1.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
YuantaP shares Taiwan Electron vs. Fubon MSCI Taiwan
Performance |
Timeline |
YuantaP shares Taiwan |
Fubon MSCI Taiwan |
YuantaP Shares and Fubon MSCI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with YuantaP Shares and Fubon MSCI
The main advantage of trading using opposite YuantaP Shares and Fubon MSCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if YuantaP Shares position performs unexpectedly, Fubon MSCI 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 Fubon MSCI will offset losses from the drop in Fubon MSCI's long position.YuantaP Shares vs. YuantaP shares Taiwan Top | YuantaP Shares vs. YuantaP shares MSCI Taiwan | YuantaP Shares vs. YuantaP shares Taiwan GreTai | YuantaP Shares vs. YuantaP shares SSE50 |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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