Correlation Between PPHE Hotel and Aeorema Communications
Can any of the company-specific risk be diversified away by investing in both PPHE Hotel and Aeorema Communications 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 PPHE Hotel and Aeorema Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PPHE Hotel Group and Aeorema Communications Plc, you can compare the effects of market volatilities on PPHE Hotel and Aeorema Communications 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 PPHE Hotel with a short position of Aeorema Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of PPHE Hotel and Aeorema Communications.
Diversification Opportunities for PPHE Hotel and Aeorema Communications
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between PPHE and Aeorema is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding PPHE Hotel Group and Aeorema Communications Plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aeorema Communications and PPHE Hotel 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 PPHE Hotel Group are associated (or correlated) with Aeorema Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aeorema Communications has no effect on the direction of PPHE Hotel i.e., PPHE Hotel and Aeorema Communications go up and down completely randomly.
Pair Corralation between PPHE Hotel and Aeorema Communications
Assuming the 90 days trading horizon PPHE Hotel Group is expected to generate 1.72 times more return on investment than Aeorema Communications. However, PPHE Hotel is 1.72 times more volatile than Aeorema Communications Plc. It trades about 0.36 of its potential returns per unit of risk. Aeorema Communications Plc is currently generating about 0.4 per unit of risk. If you would invest 118,500 in PPHE Hotel Group on September 29, 2024 and sell it today you would earn a total of 18,500 from holding PPHE Hotel Group or generate 15.61% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
PPHE Hotel Group vs. Aeorema Communications Plc
Performance |
Timeline |
PPHE Hotel Group |
Aeorema Communications |
PPHE Hotel and Aeorema Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PPHE Hotel and Aeorema Communications
The main advantage of trading using opposite PPHE Hotel and Aeorema Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PPHE Hotel position performs unexpectedly, Aeorema Communications 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 Aeorema Communications will offset losses from the drop in Aeorema Communications' long position.PPHE Hotel vs. National Atomic Co | PPHE Hotel vs. Flutter Entertainment PLC | PPHE Hotel vs. Camellia Plc | PPHE Hotel vs. Marwyn Value Investors |
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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 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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