Correlation Between Naked Wines and Gamma Communications
Can any of the company-specific risk be diversified away by investing in both Naked Wines and Gamma 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 Naked Wines and Gamma Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Naked Wines plc and Gamma Communications PLC, you can compare the effects of market volatilities on Naked Wines and Gamma 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 Naked Wines with a short position of Gamma Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Naked Wines and Gamma Communications.
Diversification Opportunities for Naked Wines and Gamma Communications
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Naked and Gamma is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Naked Wines plc and Gamma Communications PLC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gamma Communications PLC and Naked Wines 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 Naked Wines plc are associated (or correlated) with Gamma Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gamma Communications PLC has no effect on the direction of Naked Wines i.e., Naked Wines and Gamma Communications go up and down completely randomly.
Pair Corralation between Naked Wines and Gamma Communications
Assuming the 90 days trading horizon Naked Wines plc is expected to under-perform the Gamma Communications. In addition to that, Naked Wines is 1.69 times more volatile than Gamma Communications PLC. It trades about -0.24 of its total potential returns per unit of risk. Gamma Communications PLC is currently generating about -0.03 per unit of volatility. If you would invest 158,600 in Gamma Communications PLC on August 29, 2024 and sell it today you would lose (1,200) from holding Gamma Communications PLC or give up 0.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Naked Wines plc vs. Gamma Communications PLC
Performance |
Timeline |
Naked Wines plc |
Gamma Communications PLC |
Naked Wines and Gamma Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Naked Wines and Gamma Communications
The main advantage of trading using opposite Naked Wines and Gamma Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Naked Wines position performs unexpectedly, Gamma 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 Gamma Communications will offset losses from the drop in Gamma Communications' long position.Naked Wines vs. Samsung Electronics Co | Naked Wines vs. Samsung Electronics Co | Naked Wines vs. Toyota Motor Corp | Naked Wines vs. MOL Hungarian Oil |
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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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