Correlation Between Hsin Kuang and Cathay Financial
Can any of the company-specific risk be diversified away by investing in both Hsin Kuang and Cathay Financial 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 Hsin Kuang and Cathay Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hsin Kuang Steel and Cathay Financial Holding, you can compare the effects of market volatilities on Hsin Kuang and Cathay Financial 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 Hsin Kuang with a short position of Cathay Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hsin Kuang and Cathay Financial.
Diversification Opportunities for Hsin Kuang and Cathay Financial
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Hsin and Cathay is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Hsin Kuang Steel and Cathay Financial Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cathay Financial Holding and Hsin Kuang 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 Hsin Kuang Steel are associated (or correlated) with Cathay Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cathay Financial Holding has no effect on the direction of Hsin Kuang i.e., Hsin Kuang and Cathay Financial go up and down completely randomly.
Pair Corralation between Hsin Kuang and Cathay Financial
Assuming the 90 days trading horizon Hsin Kuang Steel is expected to generate 14.11 times more return on investment than Cathay Financial. However, Hsin Kuang is 14.11 times more volatile than Cathay Financial Holding. It trades about 0.05 of its potential returns per unit of risk. Cathay Financial Holding is currently generating about 0.04 per unit of risk. If you would invest 4,970 in Hsin Kuang Steel on December 3, 2024 and sell it today you would earn a total of 230.00 from holding Hsin Kuang Steel or generate 4.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.25% |
Values | Daily Returns |
Hsin Kuang Steel vs. Cathay Financial Holding
Performance |
Timeline |
Hsin Kuang Steel |
Cathay Financial Holding |
Hsin Kuang and Cathay Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hsin Kuang and Cathay Financial
The main advantage of trading using opposite Hsin Kuang and Cathay Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hsin Kuang position performs unexpectedly, Cathay Financial 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 Cathay Financial will offset losses from the drop in Cathay Financial's long position.Hsin Kuang vs. Chung Hung Steel | Hsin Kuang vs. Tung Ho Steel | Hsin Kuang vs. Ta Chen Stainless | Hsin Kuang vs. Feng Hsin Steel |
Cathay Financial vs. Tung Ho Steel | Cathay Financial vs. Galaxy Software Services | Cathay Financial vs. Mospec Semiconductor Corp | Cathay Financial vs. Jia Jie Biomedical |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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