Correlation Between ASML HOLDING and Enphase Energy
Can any of the company-specific risk be diversified away by investing in both ASML HOLDING and Enphase 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 ASML HOLDING and Enphase Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ASML HOLDING NY and Enphase Energy, you can compare the effects of market volatilities on ASML HOLDING and Enphase 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 ASML HOLDING with a short position of Enphase Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of ASML HOLDING and Enphase Energy.
Diversification Opportunities for ASML HOLDING and Enphase Energy
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between ASML and Enphase is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding ASML HOLDING NY and Enphase Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Enphase Energy and ASML HOLDING 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 ASML HOLDING NY are associated (or correlated) with Enphase Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Enphase Energy has no effect on the direction of ASML HOLDING i.e., ASML HOLDING and Enphase Energy go up and down completely randomly.
Pair Corralation between ASML HOLDING and Enphase Energy
Assuming the 90 days trading horizon ASML HOLDING NY is expected to generate 0.32 times more return on investment than Enphase Energy. However, ASML HOLDING NY is 3.12 times less risky than Enphase Energy. It trades about 0.18 of its potential returns per unit of risk. Enphase Energy is currently generating about -0.12 per unit of risk. If you would invest 61,600 in ASML HOLDING NY on September 4, 2024 and sell it today you would earn a total of 4,000 from holding ASML HOLDING NY or generate 6.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
ASML HOLDING NY vs. Enphase Energy
Performance |
Timeline |
ASML HOLDING NY |
Enphase Energy |
ASML HOLDING and Enphase Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ASML HOLDING and Enphase Energy
The main advantage of trading using opposite ASML HOLDING and Enphase Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ASML HOLDING position performs unexpectedly, Enphase 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 Enphase Energy will offset losses from the drop in Enphase Energy's long position.ASML HOLDING vs. National Beverage Corp | ASML HOLDING vs. Astral Foods Limited | ASML HOLDING vs. COFCO Joycome Foods | ASML HOLDING vs. PREMIER FOODS |
Enphase Energy vs. FORMPIPE SOFTWARE AB | Enphase Energy vs. Jacquet Metal Service | Enphase Energy vs. FIREWEED METALS P | Enphase Energy vs. ARDAGH METAL PACDL 0001 |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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