Correlation Between Hunter Small and World Energy
Can any of the company-specific risk be diversified away by investing in both Hunter Small and World Energy 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 Hunter Small and World Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hunter Small Cap and World Energy Fund, you can compare the effects of market volatilities on Hunter Small and World Energy 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 Hunter Small with a short position of World Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hunter Small and World Energy.
Diversification Opportunities for Hunter Small and World Energy
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Hunter and World is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Hunter Small Cap and World Energy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on World Energy and Hunter Small 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 Hunter Small Cap are associated (or correlated) with World Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of World Energy has no effect on the direction of Hunter Small i.e., Hunter Small and World Energy go up and down completely randomly.
Pair Corralation between Hunter Small and World Energy
Assuming the 90 days horizon Hunter Small is expected to generate 4.92 times less return on investment than World Energy. In addition to that, Hunter Small is 1.08 times more volatile than World Energy Fund. It trades about 0.13 of its total potential returns per unit of risk. World Energy Fund is currently generating about 0.69 per unit of volatility. If you would invest 1,450 in World Energy Fund on October 25, 2024 and sell it today you would earn a total of 158.00 from holding World Energy Fund or generate 10.9% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Hunter Small Cap vs. World Energy Fund
Performance |
| Timeline |
| Hunter Small Cap |
| World Energy |
Hunter Small and World Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hunter Small and World Energy
The main advantage of trading using opposite Hunter Small and World Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hunter Small position performs unexpectedly, World Energy 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 World Energy will offset losses from the drop in World Energy's long position.| Hunter Small vs. Ab Small Cap | Hunter Small vs. Astoncrosswind Small Cap | Hunter Small vs. Smallcap Fund Fka | Hunter Small vs. Goldman Sachs Smallmid |
| World Energy vs. Kinetics Global Fund | World Energy vs. Ab Global Bond | World Energy vs. Ms Global Fixed | World Energy vs. Aqr Global Macro |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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