Correlation Between Yuanta Daily and Fubon FTSE
Can any of the company-specific risk be diversified away by investing in both Yuanta Daily and Fubon FTSE 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 Yuanta Daily and Fubon FTSE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yuanta Daily Taiwan and Fubon FTSE TWSE, you can compare the effects of market volatilities on Yuanta Daily and Fubon FTSE 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 Yuanta Daily with a short position of Fubon FTSE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yuanta Daily and Fubon FTSE.
Diversification Opportunities for Yuanta Daily and Fubon FTSE
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Yuanta and Fubon is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Yuanta Daily Taiwan and Fubon FTSE TWSE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fubon FTSE TWSE and Yuanta Daily 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 Yuanta Daily Taiwan are associated (or correlated) with Fubon FTSE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fubon FTSE TWSE has no effect on the direction of Yuanta Daily i.e., Yuanta Daily and Fubon FTSE go up and down completely randomly.
Pair Corralation between Yuanta Daily and Fubon FTSE
Assuming the 90 days trading horizon Yuanta Daily Taiwan is expected to under-perform the Fubon FTSE. But the etf apears to be less risky and, when comparing its historical volatility, Yuanta Daily Taiwan is 1.03 times less risky than Fubon FTSE. The etf trades about -0.03 of its potential returns per unit of risk. The Fubon FTSE TWSE is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 11,375 in Fubon FTSE TWSE on October 15, 2024 and sell it today you would earn a total of 140.00 from holding Fubon FTSE TWSE or generate 1.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Yuanta Daily Taiwan vs. Fubon FTSE TWSE
Performance |
Timeline |
Yuanta Daily Taiwan |
Fubon FTSE TWSE |
Yuanta Daily and Fubon FTSE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yuanta Daily and Fubon FTSE
The main advantage of trading using opposite Yuanta Daily and Fubon FTSE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yuanta Daily position performs unexpectedly, Fubon FTSE 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 FTSE will offset losses from the drop in Fubon FTSE's long position.Yuanta Daily vs. Yuanta Daily SP | Yuanta Daily vs. Yuanta Securities Investment | Yuanta Daily vs. Yuanta SP GSCI | Yuanta Daily vs. Yuanta Global NexGen |
Fubon FTSE vs. Fubon Hang Seng | Fubon FTSE vs. Fubon SP Preferred | Fubon FTSE vs. Fubon NASDAQ 100 1X | Fubon FTSE vs. Fubon TWSE Corporate |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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