Correlation Between Bank of Kaohsiung and Yulon Finance
Can any of the company-specific risk be diversified away by investing in both Bank of Kaohsiung and Yulon Finance 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 Yulon Finance 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 Yulon Finance Corp, you can compare the effects of market volatilities on Bank of Kaohsiung and Yulon Finance 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 Yulon Finance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of Kaohsiung and Yulon Finance.
Diversification Opportunities for Bank of Kaohsiung and Yulon Finance
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Bank and Yulon is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Bank of Kaohsiung and Yulon Finance Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yulon Finance Corp 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 Yulon Finance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yulon Finance Corp has no effect on the direction of Bank of Kaohsiung i.e., Bank of Kaohsiung and Yulon Finance go up and down completely randomly.
Pair Corralation between Bank of Kaohsiung and Yulon Finance
Assuming the 90 days trading horizon Bank of Kaohsiung is expected to under-perform the Yulon Finance. But the stock apears to be less risky and, when comparing its historical volatility, Bank of Kaohsiung is 4.56 times less risky than Yulon Finance. The stock trades about -0.12 of its potential returns per unit of risk. The Yulon Finance Corp is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 11,700 in Yulon Finance Corp on October 6, 2024 and sell it today you would earn a total of 50.00 from holding Yulon Finance Corp or generate 0.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank of Kaohsiung vs. Yulon Finance Corp
Performance |
Timeline |
Bank of Kaohsiung |
Yulon Finance Corp |
Bank of Kaohsiung and Yulon Finance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of Kaohsiung and Yulon Finance
The main advantage of trading using opposite Bank of Kaohsiung and Yulon Finance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of Kaohsiung position performs unexpectedly, Yulon Finance 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 Yulon Finance will offset losses from the drop in Yulon Finance's long position.Bank of Kaohsiung vs. Union Bank of | Bank of Kaohsiung vs. Chang Hwa Commercial | Bank of Kaohsiung vs. EnTie Commercial Bank | Bank of Kaohsiung vs. Taiwan Business Bank |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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