Correlation Between Samsung Electronics and Cardiff Property
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Cardiff 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 Cardiff 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 Cardiff Property PLC, you can compare the effects of market volatilities on Samsung Electronics and Cardiff 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 Cardiff Property. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Cardiff Property.
Diversification Opportunities for Samsung Electronics and Cardiff Property
-0.68 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Samsung and Cardiff is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Cardiff Property PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cardiff Property 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 Cardiff Property. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cardiff Property PLC has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Cardiff Property go up and down completely randomly.
Pair Corralation between Samsung Electronics and Cardiff Property
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Cardiff Property. In addition to that, Samsung Electronics is 2.19 times more volatile than Cardiff Property PLC. It trades about -0.14 of its total potential returns per unit of risk. Cardiff Property PLC is currently generating about 0.06 per unit of volatility. If you would invest 230,000 in Cardiff Property PLC on September 29, 2024 and sell it today you would earn a total of 15,000 from holding Cardiff Property PLC or generate 6.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Cardiff Property PLC
Performance |
Timeline |
Samsung Electronics |
Cardiff Property PLC |
Samsung Electronics and Cardiff Property Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Cardiff Property
The main advantage of trading using opposite Samsung Electronics and Cardiff Property positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Cardiff 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 Cardiff Property will offset losses from the drop in Cardiff Property's long position.Samsung Electronics vs. Rightmove PLC | Samsung Electronics vs. Bioventix | Samsung Electronics vs. VeriSign | Samsung Electronics vs. Games Workshop Group |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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