Correlation Between Azure Power and Excelerate Energy
Can any of the company-specific risk be diversified away by investing in both Azure Power and Excelerate 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 Azure Power and Excelerate Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Azure Power Global and Excelerate Energy, you can compare the effects of market volatilities on Azure Power and Excelerate 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 Azure Power with a short position of Excelerate Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Azure Power and Excelerate Energy.
Diversification Opportunities for Azure Power and Excelerate Energy
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between Azure and Excelerate is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding Azure Power Global and Excelerate Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Excelerate Energy and Azure Power 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 Azure Power Global are associated (or correlated) with Excelerate Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Excelerate Energy has no effect on the direction of Azure Power i.e., Azure Power and Excelerate Energy go up and down completely randomly.
Pair Corralation between Azure Power and Excelerate Energy
Assuming the 90 days horizon Azure Power Global is expected to generate 36.19 times more return on investment than Excelerate Energy. However, Azure Power is 36.19 times more volatile than Excelerate Energy. It trades about 0.11 of its potential returns per unit of risk. Excelerate Energy is currently generating about 0.15 per unit of risk. If you would invest 120.00 in Azure Power Global on September 5, 2025 and sell it today you would lose (20.00) from holding Azure Power Global or give up 16.67% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Azure Power Global vs. Excelerate Energy
Performance |
| Timeline |
| Azure Power Global |
| Excelerate Energy |
Azure Power and Excelerate Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Azure Power and Excelerate Energy
The main advantage of trading using opposite Azure Power and Excelerate Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Azure Power position performs unexpectedly, Excelerate 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 Excelerate Energy will offset losses from the drop in Excelerate Energy's long position.| Azure Power vs. Xtera Communications | Azure Power vs. IBITX Software | Azure Power vs. PSI Software AG | Azure Power vs. DATA Communications Management |
| Excelerate Energy vs. 1mage Software | Excelerate Energy vs. Titan Machinery | Excelerate Energy vs. Upland Software | Excelerate Energy vs. Cognyte Software |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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