Correlation Between Fubon SP and Fubon SSE180
Can any of the company-specific risk be diversified away by investing in both Fubon SP and Fubon SSE180 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 Fubon SP and Fubon SSE180 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fubon SP Preferred and Fubon SSE180 Exchange, you can compare the effects of market volatilities on Fubon SP and Fubon SSE180 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 Fubon SP with a short position of Fubon SSE180. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fubon SP and Fubon SSE180.
Diversification Opportunities for Fubon SP and Fubon SSE180
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Fubon and Fubon is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Fubon SP Preferred and Fubon SSE180 Exchange in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fubon SSE180 Exchange and Fubon SP 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 Fubon SP Preferred are associated (or correlated) with Fubon SSE180. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fubon SSE180 Exchange has no effect on the direction of Fubon SP i.e., Fubon SP and Fubon SSE180 go up and down completely randomly.
Pair Corralation between Fubon SP and Fubon SSE180
Assuming the 90 days trading horizon Fubon SP Preferred is expected to under-perform the Fubon SSE180. But the etf apears to be less risky and, when comparing its historical volatility, Fubon SP Preferred is 2.02 times less risky than Fubon SSE180. The etf trades about -0.02 of its potential returns per unit of risk. The Fubon SSE180 Exchange is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 750.00 in Fubon SSE180 Exchange on October 27, 2024 and sell it today you would lose (9.00) from holding Fubon SSE180 Exchange or give up 1.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Fubon SP Preferred vs. Fubon SSE180 Exchange
Performance |
Timeline |
Fubon SP Preferred |
Fubon SSE180 Exchange |
Fubon SP and Fubon SSE180 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fubon SP and Fubon SSE180
The main advantage of trading using opposite Fubon SP and Fubon SSE180 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fubon SP position performs unexpectedly, Fubon SSE180 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 SSE180 will offset losses from the drop in Fubon SSE180's long position.Fubon SP vs. Fubon Hang Seng | Fubon SP vs. Fubon NASDAQ 100 1X | Fubon SP vs. Fubon TWSE Corporate | Fubon SP vs. Fubon Dow Jones |
Fubon SSE180 vs. Fubon Hang Seng | Fubon SSE180 vs. Fubon SP Preferred | Fubon SSE180 vs. Fubon NASDAQ 100 1X | Fubon SSE180 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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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