Correlation Between CLEAN ENERGY and PKSHA TECHNOLOGY
Can any of the company-specific risk be diversified away by investing in both CLEAN ENERGY and PKSHA TECHNOLOGY 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 PKSHA TECHNOLOGY 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 PKSHA TECHNOLOGY INC, you can compare the effects of market volatilities on CLEAN ENERGY and PKSHA TECHNOLOGY 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 PKSHA TECHNOLOGY. Check out your portfolio center. Please also check ongoing floating volatility patterns of CLEAN ENERGY and PKSHA TECHNOLOGY.
Diversification Opportunities for CLEAN ENERGY and PKSHA TECHNOLOGY
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between CLEAN and PKSHA is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding CLEAN ENERGY FUELS and PKSHA TECHNOLOGY INC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PKSHA TECHNOLOGY INC 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 PKSHA TECHNOLOGY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PKSHA TECHNOLOGY INC has no effect on the direction of CLEAN ENERGY i.e., CLEAN ENERGY and PKSHA TECHNOLOGY go up and down completely randomly.
Pair Corralation between CLEAN ENERGY and PKSHA TECHNOLOGY
Assuming the 90 days trading horizon CLEAN ENERGY FUELS is expected to under-perform the PKSHA TECHNOLOGY. In addition to that, CLEAN ENERGY is 1.24 times more volatile than PKSHA TECHNOLOGY INC. It trades about -0.13 of its total potential returns per unit of risk. PKSHA TECHNOLOGY INC is currently generating about -0.05 per unit of volatility. If you would invest 2,300 in PKSHA TECHNOLOGY INC on December 20, 2024 and sell it today you would lose (320.00) from holding PKSHA TECHNOLOGY INC or give up 13.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.33% |
Values | Daily Returns |
CLEAN ENERGY FUELS vs. PKSHA TECHNOLOGY INC
Performance |
Timeline |
CLEAN ENERGY FUELS |
PKSHA TECHNOLOGY INC |
CLEAN ENERGY and PKSHA TECHNOLOGY Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CLEAN ENERGY and PKSHA TECHNOLOGY
The main advantage of trading using opposite CLEAN ENERGY and PKSHA TECHNOLOGY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CLEAN ENERGY position performs unexpectedly, PKSHA TECHNOLOGY 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 PKSHA TECHNOLOGY will offset losses from the drop in PKSHA TECHNOLOGY's long position.CLEAN ENERGY vs. SBA Communications Corp | CLEAN ENERGY vs. Hellenic Telecommunications Organization | CLEAN ENERGY vs. Playtech plc | CLEAN ENERGY vs. INTERSHOP Communications Aktiengesellschaft |
PKSHA TECHNOLOGY vs. SPARTAN STORES | PKSHA TECHNOLOGY vs. Ross Stores | PKSHA TECHNOLOGY vs. Platinum Investment Management | PKSHA TECHNOLOGY vs. JIAHUA STORES |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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