Correlation Between CLEAN ENERGY and DATANG INTL
Can any of the company-specific risk be diversified away by investing in both CLEAN ENERGY and DATANG INTL 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 CLEAN ENERGY and DATANG INTL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CLEAN ENERGY FUELS and DATANG INTL POW, you can compare the effects of market volatilities on CLEAN ENERGY and DATANG INTL 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 CLEAN ENERGY with a short position of DATANG INTL. Check out your portfolio center. Please also check ongoing floating volatility patterns of CLEAN ENERGY and DATANG INTL.
Diversification Opportunities for CLEAN ENERGY and DATANG INTL
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between CLEAN and DATANG is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding CLEAN ENERGY FUELS and DATANG INTL POW in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DATANG INTL POW and CLEAN ENERGY 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 CLEAN ENERGY FUELS are associated (or correlated) with DATANG INTL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DATANG INTL POW has no effect on the direction of CLEAN ENERGY i.e., CLEAN ENERGY and DATANG INTL go up and down completely randomly.
Pair Corralation between CLEAN ENERGY and DATANG INTL
Assuming the 90 days trading horizon CLEAN ENERGY FUELS is expected to under-perform the DATANG INTL. But the stock apears to be less risky and, when comparing its historical volatility, CLEAN ENERGY FUELS is 1.17 times less risky than DATANG INTL. The stock trades about -0.02 of its potential returns per unit of risk. The DATANG INTL POW is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 12.00 in DATANG INTL POW on October 24, 2024 and sell it today you would earn a total of 4.00 from holding DATANG INTL POW or generate 33.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
CLEAN ENERGY FUELS vs. DATANG INTL POW
Performance |
Timeline |
CLEAN ENERGY FUELS |
DATANG INTL POW |
CLEAN ENERGY and DATANG INTL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CLEAN ENERGY and DATANG INTL
The main advantage of trading using opposite CLEAN ENERGY and DATANG INTL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CLEAN ENERGY position performs unexpectedly, DATANG INTL 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 DATANG INTL will offset losses from the drop in DATANG INTL's long position.CLEAN ENERGY vs. Cass Information Systems | CLEAN ENERGY vs. Entravision Communications | CLEAN ENERGY vs. Chengdu PUTIAN Telecommunications | CLEAN ENERGY vs. OFFICE DEPOT |
DATANG INTL vs. IERVOLINO ENTERTAINMENT | DATANG INTL vs. FIREWEED METALS P | DATANG INTL vs. Live Nation Entertainment | DATANG INTL vs. Western Copper and |
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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