Correlation Between New Generation and UMF
Can any of the company-specific risk be diversified away by investing in both New Generation and UMF 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 Generation and UMF into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between New Generation Consumer and UMF Group, you can compare the effects of market volatilities on New Generation and UMF 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 Generation with a short position of UMF. Check out your portfolio center. Please also check ongoing floating volatility patterns of New Generation and UMF.
Diversification Opportunities for New Generation and UMF
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between New and UMF is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding New Generation Consumer and UMF Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on UMF Group and New Generation 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 Generation Consumer are associated (or correlated) with UMF. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of UMF Group has no effect on the direction of New Generation i.e., New Generation and UMF go up and down completely randomly.
Pair Corralation between New Generation and UMF
If you would invest 0.14 in New Generation Consumer on October 3, 2024 and sell it today you would lose (0.08) from holding New Generation Consumer or give up 57.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 0.37% |
Values | Daily Returns |
New Generation Consumer vs. UMF Group
Performance |
Timeline |
New Generation Consumer |
UMF Group |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
New Generation and UMF Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with New Generation and UMF
The main advantage of trading using opposite New Generation and UMF positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if New Generation position performs unexpectedly, UMF 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 UMF will offset losses from the drop in UMF's long position.New Generation vs. Symbotic | New Generation vs. Lionsgate Studios Corp | New Generation vs. Petro Usa | New Generation vs. HUMANA 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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
Other Complementary Tools
Money Managers Screen money managers from public funds and ETFs managed around the world | |
ETF Categories List of ETF categories grouped based on various criteria, such as the investment strategy or type of investments | |
Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
Fundamental Analysis View fundamental data based on most recent published financial statements | |
Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance |