Correlation Between GungHo Online and Clean Energy
Can any of the company-specific risk be diversified away by investing in both GungHo Online and Clean 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 GungHo Online and Clean Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GungHo Online Entertainment and Clean Energy Fuels, you can compare the effects of market volatilities on GungHo Online and Clean 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 GungHo Online with a short position of Clean Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of GungHo Online and Clean Energy.
Diversification Opportunities for GungHo Online and Clean Energy
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between GungHo and Clean is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding GungHo Online Entertainment and Clean Energy Fuels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Energy Fuels and GungHo Online 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 GungHo Online Entertainment are associated (or correlated) with Clean Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Energy Fuels has no effect on the direction of GungHo Online i.e., GungHo Online and Clean Energy go up and down completely randomly.
Pair Corralation between GungHo Online and Clean Energy
Assuming the 90 days horizon GungHo Online is expected to generate 1.06 times less return on investment than Clean Energy. But when comparing it to its historical volatility, GungHo Online Entertainment is 2.2 times less risky than Clean Energy. It trades about 0.08 of its potential returns per unit of risk. Clean Energy Fuels is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 240.00 in Clean Energy Fuels on September 13, 2024 and sell it today you would earn a total of 28.00 from holding Clean Energy Fuels or generate 11.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GungHo Online Entertainment vs. Clean Energy Fuels
Performance |
Timeline |
GungHo Online Entert |
Clean Energy Fuels |
GungHo Online and Clean Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GungHo Online and Clean Energy
The main advantage of trading using opposite GungHo Online and Clean Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GungHo Online position performs unexpectedly, Clean 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 Clean Energy will offset losses from the drop in Clean Energy's long position.GungHo Online vs. Infrastrutture Wireless Italiane | GungHo Online vs. CENTURIA OFFICE REIT | GungHo Online vs. MAVEN WIRELESS SWEDEN | GungHo Online vs. CITY OFFICE REIT |
Clean Energy vs. American Eagle Outfitters | Clean Energy vs. NORWEGIAN AIR SHUT | Clean Energy vs. SYSTEMAIR AB | Clean Energy vs. Westinghouse Air Brake |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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