Correlation Between New Wave and Network Media
Can any of the company-specific risk be diversified away by investing in both New Wave and Network Media 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 New Wave and Network Media into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between New Wave Holdings and Network Media Group, you can compare the effects of market volatilities on New Wave and Network Media 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 New Wave with a short position of Network Media. Check out your portfolio center. Please also check ongoing floating volatility patterns of New Wave and Network Media.
Diversification Opportunities for New Wave and Network Media
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between New and Network is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding New Wave Holdings and Network Media Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Network Media Group and New Wave 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 New Wave Holdings are associated (or correlated) with Network Media. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Network Media Group has no effect on the direction of New Wave i.e., New Wave and Network Media go up and down completely randomly.
Pair Corralation between New Wave and Network Media
Assuming the 90 days horizon New Wave Holdings is expected to generate 3.06 times more return on investment than Network Media. However, New Wave is 3.06 times more volatile than Network Media Group. It trades about 0.06 of its potential returns per unit of risk. Network Media Group is currently generating about -0.01 per unit of risk. If you would invest 1.10 in New Wave Holdings on December 28, 2024 and sell it today you would earn a total of 0.02 from holding New Wave Holdings or generate 1.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 96.83% |
Values | Daily Returns |
New Wave Holdings vs. Network Media Group
Performance |
Timeline |
New Wave Holdings |
Network Media Group |
New Wave and Network Media Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with New Wave and Network Media
The main advantage of trading using opposite New Wave and Network Media positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New Wave position performs unexpectedly, Network Media 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 Network Media will offset losses from the drop in Network Media's long position.New Wave vs. OverActive Media Corp | New Wave vs. Network Media Group | New Wave vs. Celtic plc | New Wave vs. Guild Esports Plc |
Network Media vs. New Wave Holdings | Network Media vs. OverActive Media Corp | Network Media vs. Celtic plc | Network Media vs. Guild Esports Plc |
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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