Correlation Between Bank of Kaohsiung and Hua Nan
Can any of the company-specific risk be diversified away by investing in both Bank of Kaohsiung and Hua Nan 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 Bank of Kaohsiung and Hua Nan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank of Kaohsiung and Hua Nan Financial, you can compare the effects of market volatilities on Bank of Kaohsiung and Hua Nan 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 Bank of Kaohsiung with a short position of Hua Nan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Kaohsiung and Hua Nan.
Diversification Opportunities for Bank of Kaohsiung and Hua Nan
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Bank and Hua is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Kaohsiung and Hua Nan Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hua Nan Financial and Bank of Kaohsiung 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 Bank of Kaohsiung are associated (or correlated) with Hua Nan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hua Nan Financial has no effect on the direction of Bank of Kaohsiung i.e., Bank of Kaohsiung and Hua Nan go up and down completely randomly.
Pair Corralation between Bank of Kaohsiung and Hua Nan
Assuming the 90 days trading horizon Bank of Kaohsiung is expected to under-perform the Hua Nan. But the stock apears to be less risky and, when comparing its historical volatility, Bank of Kaohsiung is 1.79 times less risky than Hua Nan. The stock trades about -0.08 of its potential returns per unit of risk. The Hua Nan Financial is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 2,565 in Hua Nan Financial on October 5, 2024 and sell it today you would earn a total of 75.00 from holding Hua Nan Financial or generate 2.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Kaohsiung vs. Hua Nan Financial
Performance |
Timeline |
Bank of Kaohsiung |
Hua Nan Financial |
Bank of Kaohsiung and Hua Nan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Kaohsiung and Hua Nan
The main advantage of trading using opposite Bank of Kaohsiung and Hua Nan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Kaohsiung position performs unexpectedly, Hua Nan 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 Hua Nan will offset losses from the drop in Hua Nan's long position.Bank of Kaohsiung vs. CSBC Corp Taiwan | Bank of Kaohsiung vs. Hung Sheng Construction | Bank of Kaohsiung vs. Ton Yi Industrial | Bank of Kaohsiung vs. De Licacy Industrial |
Hua Nan vs. CSBC Corp Taiwan | Hua Nan vs. Hung Sheng Construction | Hua Nan vs. Ton Yi Industrial | Hua Nan vs. De Licacy Industrial |
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 Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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