Correlation Between Samsung Electronics and Abrdn Property
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Abrdn Property 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 Abrdn Property 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 abrdn Property Income, you can compare the effects of market volatilities on Samsung Electronics and Abrdn Property 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 Abrdn Property. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Abrdn Property.
Diversification Opportunities for Samsung Electronics and Abrdn Property
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samsung and Abrdn is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and abrdn Property Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on abrdn Property Income 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 Abrdn Property. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of abrdn Property Income has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Abrdn Property go up and down completely randomly.
Pair Corralation between Samsung Electronics and Abrdn Property
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Abrdn Property. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 1.03 times less risky than Abrdn Property. The stock trades about -0.31 of its potential returns per unit of risk. The abrdn Property Income is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 598.00 in abrdn Property Income on September 23, 2024 and sell it today you would earn a total of 55.00 from holding abrdn Property Income or generate 9.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. abrdn Property Income
Performance |
Timeline |
Samsung Electronics |
abrdn Property Income |
Samsung Electronics and Abrdn Property Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Abrdn Property
The main advantage of trading using opposite Samsung Electronics and Abrdn Property positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Abrdn Property 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 Abrdn Property will offset losses from the drop in Abrdn Property's long position.Samsung Electronics vs. Rockfire Resources plc | Samsung Electronics vs. Tlou Energy | Samsung Electronics vs. Ikigai Ventures | Samsung Electronics vs. Falcon Oil Gas |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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