Correlation Between Fubon Financial and P Duke
Can any of the company-specific risk be diversified away by investing in both Fubon Financial and P Duke 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 Financial and P Duke into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fubon Financial Holding and P Duke Technology Co, you can compare the effects of market volatilities on Fubon Financial and P Duke 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 Financial with a short position of P Duke. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fubon Financial and P Duke.
Diversification Opportunities for Fubon Financial and P Duke
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Fubon and 8109 is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Fubon Financial Holding and P Duke Technology Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on P Duke Technology and Fubon Financial 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 Financial Holding are associated (or correlated) with P Duke. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of P Duke Technology has no effect on the direction of Fubon Financial i.e., Fubon Financial and P Duke go up and down completely randomly.
Pair Corralation between Fubon Financial and P Duke
Assuming the 90 days trading horizon Fubon Financial Holding is expected to generate 0.16 times more return on investment than P Duke. However, Fubon Financial Holding is 6.18 times less risky than P Duke. It trades about 0.28 of its potential returns per unit of risk. P Duke Technology Co is currently generating about -0.02 per unit of risk. If you would invest 6,190 in Fubon Financial Holding on September 4, 2024 and sell it today you would earn a total of 100.00 from holding Fubon Financial Holding or generate 1.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fubon Financial Holding vs. P Duke Technology Co
Performance |
Timeline |
Fubon Financial Holding |
P Duke Technology |
Fubon Financial and P Duke Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fubon Financial and P Duke
The main advantage of trading using opposite Fubon Financial and P Duke positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fubon Financial position performs unexpectedly, P Duke 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 P Duke will offset losses from the drop in P Duke's long position.Fubon Financial vs. Chinese Maritime Transport | Fubon Financial vs. Grand Ocean Retail | Fubon Financial vs. Niko Semiconductor Co | Fubon Financial vs. Vanguard International Semiconductor |
P Duke vs. Sporton International | P Duke vs. Planet Technology | P Duke vs. Posiflex Technology | P Duke vs. ECOVE Environment 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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