Correlation Between Samsung Electronics and DAIRY FARM
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and DAIRY FARM 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 Samsung Electronics and DAIRY FARM into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Electronics Co and DAIRY FARM INTL, you can compare the effects of market volatilities on Samsung Electronics and DAIRY FARM 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 Samsung Electronics with a short position of DAIRY FARM. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and DAIRY FARM.
Diversification Opportunities for Samsung Electronics and DAIRY FARM
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Samsung and DAIRY is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and DAIRY FARM INTL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DAIRY FARM INTL and Samsung Electronics 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 Samsung Electronics Co are associated (or correlated) with DAIRY FARM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DAIRY FARM INTL has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and DAIRY FARM go up and down completely randomly.
Pair Corralation between Samsung Electronics and DAIRY FARM
Assuming the 90 days horizon Samsung Electronics Co is expected to under-perform the DAIRY FARM. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 1.06 times less risky than DAIRY FARM. The stock trades about -0.1 of its potential returns per unit of risk. The DAIRY FARM INTL is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 158.00 in DAIRY FARM INTL on September 16, 2024 and sell it today you would earn a total of 60.00 from holding DAIRY FARM INTL or generate 37.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. DAIRY FARM INTL
Performance |
Timeline |
Samsung Electronics |
DAIRY FARM INTL |
Samsung Electronics and DAIRY FARM Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and DAIRY FARM
The main advantage of trading using opposite Samsung Electronics and DAIRY FARM positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, DAIRY FARM 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 DAIRY FARM will offset losses from the drop in DAIRY FARM's long position.Samsung Electronics vs. DAIRY FARM INTL | Samsung Electronics vs. Sumitomo Mitsui Construction | Samsung Electronics vs. WIMFARM SA EO | Samsung Electronics vs. TITAN MACHINERY |
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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