Correlation Between Fubon Financial and Hsinjing Holding
Can any of the company-specific risk be diversified away by investing in both Fubon Financial and Hsinjing Holding 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 Hsinjing Holding 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 Hsinjing Holding Co, you can compare the effects of market volatilities on Fubon Financial and Hsinjing Holding 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 Hsinjing Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fubon Financial and Hsinjing Holding.
Diversification Opportunities for Fubon Financial and Hsinjing Holding
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Fubon and Hsinjing is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Fubon Financial Holding and Hsinjing Holding Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hsinjing Holding 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 Hsinjing Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hsinjing Holding has no effect on the direction of Fubon Financial i.e., Fubon Financial and Hsinjing Holding go up and down completely randomly.
Pair Corralation between Fubon Financial and Hsinjing Holding
Assuming the 90 days trading horizon Fubon Financial is expected to generate 2.34 times less return on investment than Hsinjing Holding. But when comparing it to its historical volatility, Fubon Financial Holding is 5.57 times less risky than Hsinjing Holding. It trades about 0.02 of its potential returns per unit of risk. Hsinjing Holding Co is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 2,260 in Hsinjing Holding Co on December 4, 2024 and sell it today you would lose (55.00) from holding Hsinjing Holding Co or give up 2.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.59% |
Values | Daily Returns |
Fubon Financial Holding vs. Hsinjing Holding Co
Performance |
Timeline |
Fubon Financial Holding |
Hsinjing Holding |
Fubon Financial and Hsinjing Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fubon Financial and Hsinjing Holding
The main advantage of trading using opposite Fubon Financial and Hsinjing Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fubon Financial position performs unexpectedly, Hsinjing Holding 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 Hsinjing Holding will offset losses from the drop in Hsinjing Holding's long position.Fubon Financial vs. Silicon Power Computer | Fubon Financial vs. Avalue Technology | Fubon Financial vs. Castles Technology Co | Fubon Financial vs. Tainet Communication System |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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