Azure Power Global Stock Market Value
| AZREF Stock | 0.40 0.10 20.00% |
| Symbol | Azure |
Azure Power 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Azure Power's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Azure Power.
| 04/23/2025 |
| 07/22/2025 |
If you would invest 0.00 in Azure Power on April 23, 2025 and sell it all today you would earn a total of 0.00 from holding Azure Power Global or generate 0.0% return on investment in Azure Power over 90 days.
Azure Power Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Azure Power's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Azure Power Global upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 32.48 | |||
| Information Ratio | 0.023 | |||
| Maximum Drawdown | 100.0 | |||
| Value At Risk | (23.08) | |||
| Potential Upside | 33.33 |
Azure Power Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Azure Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Azure Power's standard deviation. In reality, there are many statistical measures that can use Azure Power historical prices to predict the future Azure Power's volatility.| Risk Adjusted Performance | 0.0393 | |||
| Jensen Alpha | 0.4728 | |||
| Total Risk Alpha | (1.85) | |||
| Sortino Ratio | 0.0114 | |||
| Treynor Ratio | 1.99 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Azure Power's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Azure Power Global Backtested Returns
Azure Power appears to be out of control, given 3 months investment horizon. Azure Power Global secures Sharpe Ratio (or Efficiency) of 0.0326, which signifies that the company had a 0.0326 % return per unit of risk over the last 3 months. By analyzing Azure Power's technical indicators, you can evaluate if the expected return of 0.53% is justified by implied risk. Please makes use of Azure Power's Downside Deviation of 32.48, risk adjusted performance of 0.0393, and Mean Deviation of 7.12 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Azure Power holds a performance score of 2. The firm shows a Beta (market volatility) of 0.25, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Azure Power's returns are expected to increase less than the market. However, during the bear market, the loss of holding Azure Power is expected to be smaller as well. Please check Azure Power's maximum drawdown and the relationship between the semi variance and price action indicator , to make a quick decision on whether Azure Power's price patterns will revert.
Auto-correlation | -0.28 |
Weak reverse predictability
Azure Power Global has weak reverse predictability. Overlapping area represents the amount of predictability between Azure Power time series from 23rd of April 2025 to 7th of June 2025 and 7th of June 2025 to 22nd of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Azure Power Global price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current Azure Power price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Azure Power Global lagged returns against current returns
Autocorrelation, which is Azure Power pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Azure Power's pink sheet expected returns. We can calculate the autocorrelation of Azure Power returns to help us make a trade decision. For example, suppose you find that Azure Power has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Azure Power regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Azure Power pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Azure Power pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Azure Power pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Azure Power Lagged Returns
When evaluating Azure Power's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Azure Power pink sheet have on its future price. Azure Power autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Azure Power autocorrelation shows the relationship between Azure Power pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Azure Power Global.
Regressed Prices |
| Timeline |