Correlation Between HMCIB SPAC and Samsung Life
Can any of the company-specific risk be diversified away by investing in both HMCIB SPAC and Samsung Life 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 HMCIB SPAC and Samsung Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HMCIB SPAC 3 and Samsung Life Insurance, you can compare the effects of market volatilities on HMCIB SPAC and Samsung Life 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 HMCIB SPAC with a short position of Samsung Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of HMCIB SPAC and Samsung Life.
Diversification Opportunities for HMCIB SPAC and Samsung Life
0.3 | Correlation Coefficient |
Weak diversification
The 3 months correlation between HMCIB and Samsung is 0.3. Overlapping area represents the amount of risk that can be diversified away by holding HMCIB SPAC 3 and Samsung Life Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Life Insurance and HMCIB SPAC 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 HMCIB SPAC 3 are associated (or correlated) with Samsung Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Life Insurance has no effect on the direction of HMCIB SPAC i.e., HMCIB SPAC and Samsung Life go up and down completely randomly.
Pair Corralation between HMCIB SPAC and Samsung Life
Assuming the 90 days trading horizon HMCIB SPAC 3 is expected to generate 1.26 times more return on investment than Samsung Life. However, HMCIB SPAC is 1.26 times more volatile than Samsung Life Insurance. It trades about -0.05 of its potential returns per unit of risk. Samsung Life Insurance is currently generating about -0.1 per unit of risk. If you would invest 163,900 in HMCIB SPAC 3 on October 25, 2024 and sell it today you would lose (18,100) from holding HMCIB SPAC 3 or give up 11.04% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 85.25% |
Values | Daily Returns |
HMCIB SPAC 3 vs. Samsung Life Insurance
Performance |
Timeline |
HMCIB SPAC 3 |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Samsung Life Insurance |
HMCIB SPAC and Samsung Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HMCIB SPAC and Samsung Life
The main advantage of trading using opposite HMCIB SPAC and Samsung Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HMCIB SPAC position performs unexpectedly, Samsung Life 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 Samsung Life will offset losses from the drop in Samsung Life's long position.HMCIB SPAC vs. Korea Information Communications | HMCIB SPAC vs. Hyundai Industrial Co | HMCIB SPAC vs. Nable Communications | HMCIB SPAC vs. Aprogen Healthcare Games |
Samsung Life vs. Adaptive Plasma Technology | Samsung Life vs. BIT Computer Co | Samsung Life vs. Sangsin Energy Display | Samsung Life vs. Netmarble Games Corp |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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