Correlation Between HB Technology and Samsung Life
Can any of the company-specific risk be diversified away by investing in both HB Technology 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 HB Technology and Samsung Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between HB Technology TD and Samsung Life Insurance, you can compare the effects of market volatilities on HB Technology 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 HB Technology with a short position of Samsung Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of HB Technology and Samsung Life.
Diversification Opportunities for HB Technology and Samsung Life
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between 078150 and Samsung is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding HB Technology TD 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 HB Technology 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 HB Technology TD 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 HB Technology i.e., HB Technology and Samsung Life go up and down completely randomly.
Pair Corralation between HB Technology and Samsung Life
Assuming the 90 days trading horizon HB Technology is expected to generate 1.06 times less return on investment than Samsung Life. In addition to that, HB Technology is 1.91 times more volatile than Samsung Life Insurance. It trades about 0.02 of its total potential returns per unit of risk. Samsung Life Insurance is currently generating about 0.05 per unit of volatility. If you would invest 6,751,081 in Samsung Life Insurance on September 21, 2024 and sell it today you would earn a total of 3,098,919 from holding Samsung Life Insurance or generate 45.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
HB Technology TD vs. Samsung Life Insurance
Performance |
Timeline |
HB Technology TD |
Samsung Life Insurance |
HB Technology and Samsung Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with HB Technology and Samsung Life
The main advantage of trading using opposite HB Technology and Samsung Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if HB Technology 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.HB Technology vs. Cube Entertainment | HB Technology vs. Dreamus Company | HB Technology vs. LG Energy Solution | HB Technology vs. Dongwon System |
Samsung Life vs. Youngsin Metal Industrial | Samsung Life vs. Seoul Food Industrial | Samsung Life vs. HB Technology TD | Samsung Life vs. Songwon Industrial Co |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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