Correlation Between Fubon Financial and Gigasolar Materials
Can any of the company-specific risk be diversified away by investing in both Fubon Financial and Gigasolar Materials 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 Gigasolar Materials 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 Gigasolar Materials, you can compare the effects of market volatilities on Fubon Financial and Gigasolar Materials 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 Gigasolar Materials. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fubon Financial and Gigasolar Materials.
Diversification Opportunities for Fubon Financial and Gigasolar Materials
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Fubon and Gigasolar is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Fubon Financial Holding and Gigasolar Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gigasolar Materials 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 Gigasolar Materials. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gigasolar Materials has no effect on the direction of Fubon Financial i.e., Fubon Financial and Gigasolar Materials go up and down completely randomly.
Pair Corralation between Fubon Financial and Gigasolar Materials
Assuming the 90 days trading horizon Fubon Financial Holding is expected to generate 0.05 times more return on investment than Gigasolar Materials. However, Fubon Financial Holding is 20.07 times less risky than Gigasolar Materials. It trades about 0.23 of its potential returns per unit of risk. Gigasolar Materials is currently generating about -0.19 per unit of risk. If you would invest 5,920 in Fubon Financial Holding on September 14, 2024 and sell it today you would earn a total of 90.00 from holding Fubon Financial Holding or generate 1.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.41% |
Values | Daily Returns |
Fubon Financial Holding vs. Gigasolar Materials
Performance |
Timeline |
Fubon Financial Holding |
Gigasolar Materials |
Fubon Financial and Gigasolar Materials Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fubon Financial and Gigasolar Materials
The main advantage of trading using opposite Fubon Financial and Gigasolar Materials positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fubon Financial position performs unexpectedly, Gigasolar Materials 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 Gigasolar Materials will offset losses from the drop in Gigasolar Materials' long position.Fubon Financial vs. CTBC Financial Holding | Fubon Financial vs. YuantaP shares Taiwan Mid Cap | Fubon Financial vs. YuantaP shares Taiwan Electronics | Fubon Financial vs. Fubon MSCI Taiwan |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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