Azure Power Global Alpha and Beta Analysis
This module allows you to check different measures of market premium (i.e., alpha and beta) for all equities such as Azure Power Global. It also helps investors analyze the systematic and unsystematic risks associated with investing in Azure Power over a specified time horizon. Remember, high Azure Power's alpha is almost always a sign of good performance; however, a high beta will depend on investors' risk tolerance level and may signal increased volatility and potential future overvaluation. Key technical indicators related to Azure Power's market risk premium analysis include:
Beta 0.0 | Alpha 0.0 | Risk 0.0 | Sharpe Ratio 0.0 | Expected Return 0.0 |
Alpha is a measure of relative performance on a risk-adjusted basis, while beta measures volatility against the benchmark. The goal is to know if an investor is being compensated for the volatility risk taken. The return on investment might be better than its reference but still not compensate for the assumption of the risk.
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Azure Power Market Premiums
Investors always prefer to have the highest possible return on investment, coupled with the lowest possible volatility. Azure Power market risk premium is the additional return an investor will receive from holding Azure Power long position in a well-diversified portfolio. The market premium is part of the Capital Asset Pricing Model (CAPM), which most analysts and investors use to calculate the acceptable rate of return on investment in Azure Power. At the center of the CAPM is the concept of risk and reward, which is usually communicated by investors using alpha and beta measures. Alpha and beta are two of the key measurements used to evaluate Azure Power's performance over market.| α | 0.00 | β | 0.00 |
Azure Power Upcoming Company Events
As portrayed in its financial statements, the presentation of Azure Power's financial position is often influenced by management's estimates, judgments, and sometimes even manipulations. In the best case, Azure Power's leadership is honest, while the outside auditors are strict and uncompromising. Whatever the case, investors should always follow all of Azure Power's public filing events to personally review all filings and be reasonable and skeptical to interpret all of the financial statements of Azure Power. Please utilize our Beneish M Score to check the likelihood of Azure Power's management manipulating its earnings.
| 31st of March 2023 Upcoming Quarterly Report | View | |
| 31st of December 2022 Next Fiscal Quarter End | View |
Build Portfolio with Azure Power
Your optimized portfolios are the building block of your wealth. We provide an intuitive interface to determine which securities in a portfolio should be removed or rebalanced to achieve better diversification, find the right mix of securities that minimizes portfolio risk for a given return, or maximize portfolio expected return for a given risk level.Build Diversified Portfolios
Align your risk with return expectations
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
Other Consideration for investing in Azure Stock
If you are still planning to invest in Azure Power Global check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Azure Power's history and understand the potential risks before investing.
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| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |