Correlation Between HMN Financial and Kasikornbank Public
Can any of the company-specific risk be diversified away by investing in both HMN Financial and Kasikornbank Public 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 HMN Financial and Kasikornbank Public into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HMN Financial and Kasikornbank Public Co, you can compare the effects of market volatilities on HMN Financial and Kasikornbank Public 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 HMN Financial with a short position of Kasikornbank Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of HMN Financial and Kasikornbank Public.
Diversification Opportunities for HMN Financial and Kasikornbank Public
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between HMN and Kasikornbank is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding HMN Financial and Kasikornbank Public Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kasikornbank Public and HMN 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 HMN Financial are associated (or correlated) with Kasikornbank Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kasikornbank Public has no effect on the direction of HMN Financial i.e., HMN Financial and Kasikornbank Public go up and down completely randomly.
Pair Corralation between HMN Financial and Kasikornbank Public
Given the investment horizon of 90 days HMN Financial is expected to generate 0.86 times more return on investment than Kasikornbank Public. However, HMN Financial is 1.17 times less risky than Kasikornbank Public. It trades about 0.04 of its potential returns per unit of risk. Kasikornbank Public Co is currently generating about 0.02 per unit of risk. If you would invest 2,142 in HMN Financial on October 3, 2024 and sell it today you would earn a total of 657.00 from holding HMN Financial or generate 30.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 87.34% |
Values | Daily Returns |
HMN Financial vs. Kasikornbank Public Co
Performance |
Timeline |
HMN Financial |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Solid
Kasikornbank Public |
HMN Financial and Kasikornbank Public Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HMN Financial and Kasikornbank Public
The main advantage of trading using opposite HMN Financial and Kasikornbank Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HMN Financial position performs unexpectedly, Kasikornbank Public 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 Kasikornbank Public will offset losses from the drop in Kasikornbank Public's long position.HMN Financial vs. Magyar Bancorp | HMN Financial vs. Home Federal Bancorp | HMN Financial vs. First Financial Northwest | HMN Financial vs. First Northwest Bancorp |
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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 Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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