Correlation Between Samsung Electronics and OneSavings Bank
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and OneSavings Bank 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 OneSavings Bank 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 OneSavings Bank PLC, you can compare the effects of market volatilities on Samsung Electronics and OneSavings Bank 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 OneSavings Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and OneSavings Bank.
Diversification Opportunities for Samsung Electronics and OneSavings Bank
0.08 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Samsung and OneSavings is 0.08. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and OneSavings Bank PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on OneSavings Bank PLC 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 OneSavings Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of OneSavings Bank PLC has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and OneSavings Bank go up and down completely randomly.
Pair Corralation between Samsung Electronics and OneSavings Bank
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the OneSavings Bank. In addition to that, Samsung Electronics is 1.95 times more volatile than OneSavings Bank PLC. It trades about -0.08 of its total potential returns per unit of risk. OneSavings Bank PLC is currently generating about 0.17 per unit of volatility. If you would invest 36,020 in OneSavings Bank PLC on August 30, 2024 and sell it today you would earn a total of 2,300 from holding OneSavings Bank PLC or generate 6.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. OneSavings Bank PLC
Performance |
Timeline |
Samsung Electronics |
OneSavings Bank PLC |
Samsung Electronics and OneSavings Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and OneSavings Bank
The main advantage of trading using opposite Samsung Electronics and OneSavings Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, OneSavings Bank 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 OneSavings Bank will offset losses from the drop in OneSavings Bank's long position.Samsung Electronics vs. GoldMining | Samsung Electronics vs. Fortune Brands Home | Samsung Electronics vs. Cairn Homes PLC | Samsung Electronics vs. iShares Physical Silver |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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