Correlation Between Hanmi Financial and MASSIN
Specify exactly 2 symbols:
By analyzing existing cross correlation between Hanmi Financial and MASSIN 3067 01 APR 52, you can compare the effects of market volatilities on Hanmi Financial and MASSIN 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 Hanmi Financial with a short position of MASSIN. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hanmi Financial and MASSIN.
Diversification Opportunities for Hanmi Financial and MASSIN
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Hanmi and MASSIN is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Hanmi Financial and MASSIN 3067 01 APR 52 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MASSIN 3067 01 and Hanmi 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 Hanmi Financial are associated (or correlated) with MASSIN. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MASSIN 3067 01 has no effect on the direction of Hanmi Financial i.e., Hanmi Financial and MASSIN go up and down completely randomly.
Pair Corralation between Hanmi Financial and MASSIN
Given the investment horizon of 90 days Hanmi Financial is expected to generate 0.73 times more return on investment than MASSIN. However, Hanmi Financial is 1.37 times less risky than MASSIN. It trades about 0.02 of its potential returns per unit of risk. MASSIN 3067 01 APR 52 is currently generating about 0.01 per unit of risk. If you would invest 2,196 in Hanmi Financial on September 24, 2024 and sell it today you would earn a total of 168.00 from holding Hanmi Financial or generate 7.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 45.58% |
Values | Daily Returns |
Hanmi Financial vs. MASSIN 3067 01 APR 52
Performance |
Timeline |
Hanmi Financial |
MASSIN 3067 01 |
Hanmi Financial and MASSIN Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hanmi Financial and MASSIN
The main advantage of trading using opposite Hanmi Financial and MASSIN positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hanmi Financial position performs unexpectedly, MASSIN 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 MASSIN will offset losses from the drop in MASSIN's long position.Hanmi Financial vs. OP Bancorp | Hanmi Financial vs. PCB Bancorp | Hanmi Financial vs. Heritage Commerce Corp | Hanmi Financial vs. Riverview Bancorp |
MASSIN vs. Definitive Healthcare Corp | MASSIN vs. CDW Corp | MASSIN vs. FactSet Research Systems | MASSIN vs. Aterian |
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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Other Complementary Tools
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance |