Correlation Between Samsung Electronics and Phreesia
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Phreesia 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 Phreesia 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 Phreesia, you can compare the effects of market volatilities on Samsung Electronics and Phreesia 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 Phreesia. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Phreesia.
Diversification Opportunities for Samsung Electronics and Phreesia
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samsung and Phreesia is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Phreesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Phreesia 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 Phreesia. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Phreesia has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Phreesia go up and down completely randomly.
Pair Corralation between Samsung Electronics and Phreesia
Assuming the 90 days trading horizon Samsung Electronics Co is expected to under-perform the Phreesia. But the stock apears to be less risky and, when comparing its historical volatility, Samsung Electronics Co is 2.24 times less risky than Phreesia. The stock trades about -0.28 of its potential returns per unit of risk. The Phreesia is currently generating about 0.26 of returns per unit of risk over similar time horizon. If you would invest 1,910 in Phreesia on September 27, 2024 and sell it today you would earn a total of 470.00 from holding Phreesia or generate 24.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Phreesia
Performance |
Timeline |
Samsung Electronics |
Phreesia |
Samsung Electronics and Phreesia Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Phreesia
The main advantage of trading using opposite Samsung Electronics and Phreesia positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Phreesia 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 Phreesia will offset losses from the drop in Phreesia's long position.Samsung Electronics vs. Apple Inc | Samsung Electronics vs. Apple Inc | Samsung Electronics vs. Apple Inc | Samsung Electronics vs. Apple Inc |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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