POWERGRID Infrastructure (India) Market Value
| PGINVIT-IV | 86.62 0.47 0.55% |
| Symbol | POWERGRID |
POWERGRID Infrastructure '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 POWERGRID Infrastructure's stock 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 POWERGRID Infrastructure.
| 12/07/2023 |
| 12/01/2024 |
If you would invest 0.00 in POWERGRID Infrastructure on December 7, 2023 and sell it all today you would earn a total of 0.00 from holding POWERGRID Infrastructure Investment or generate 0.0% return on investment in POWERGRID Infrastructure over 360 days. POWERGRID Infrastructure is related to or competes with Kingfa Science, Rico Auto, GACM Technologies, COSMO FIRST, Delta Manufacturing, Tribhovandas Bhimji, and Parag Milk. POWERGRID Infrastructure is entity of India More
POWERGRID Infrastructure 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 POWERGRID Infrastructure's stock 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 POWERGRID Infrastructure Investment upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.38) | |||
| Maximum Drawdown | 4.66 | |||
| Value At Risk | (0.93) | |||
| Potential Upside | 0.6808 |
POWERGRID Infrastructure Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for POWERGRID Infrastructure's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as POWERGRID Infrastructure's standard deviation. In reality, there are many statistical measures that can use POWERGRID Infrastructure historical prices to predict the future POWERGRID Infrastructure's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.21) | |||
| Treynor Ratio | (0.61) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of POWERGRID Infrastructure'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.
POWERGRID Infrastructure Backtested Returns
POWERGRID Infrastructure maintains Sharpe Ratio (i.e., Efficiency) of -0.14, which implies the firm had a -0.14% return per unit of standard deviation over the last 3 months. POWERGRID Infrastructure exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check POWERGRID Infrastructure's Market Risk Adjusted Performance of (0.60), coefficient of variation of (628.61), and Risk Adjusted Performance of (0.12) to confirm the risk estimate we provide. The company holds a Beta of 0.18, which implies not very significant fluctuations relative to the market. As returns on the market increase, POWERGRID Infrastructure's returns are expected to increase less than the market. However, during the bear market, the loss of holding POWERGRID Infrastructure is expected to be smaller as well. At this point, POWERGRID Infrastructure has a negative expected return of -0.0908%. Please make sure to check POWERGRID Infrastructure's potential upside and day median price , to decide if POWERGRID Infrastructure performance from the past will be repeated at some future point.
Auto-correlation | 0.19 |
Very weak predictability
POWERGRID Infrastructure Investment has very weak predictability. Overlapping area represents the amount of predictability between POWERGRID Infrastructure time series from 7th of December 2023 to 4th of June 2024 and 4th of June 2024 to 1st of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of POWERGRID Infrastructure price movement. The serial correlation of 0.19 indicates that over 19.0% of current POWERGRID Infrastructure price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.19 | |
| Spearman Rank Test | -0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 9.9 |
POWERGRID Infrastructure lagged returns against current returns
Autocorrelation, which is POWERGRID Infrastructure stock'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 POWERGRID Infrastructure's stock expected returns. We can calculate the autocorrelation of POWERGRID Infrastructure returns to help us make a trade decision. For example, suppose you find that POWERGRID Infrastructure has exhibited high autocorrelation historically, and you observe that the stock 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 |
POWERGRID Infrastructure 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 POWERGRID Infrastructure stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if POWERGRID Infrastructure stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in POWERGRID Infrastructure stock over time.
Current vs Lagged Prices |
| Timeline |
POWERGRID Infrastructure Lagged Returns
When evaluating POWERGRID Infrastructure's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of POWERGRID Infrastructure stock have on its future price. POWERGRID Infrastructure 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, POWERGRID Infrastructure autocorrelation shows the relationship between POWERGRID Infrastructure stock current value and its past values and can show if there is a momentum factor associated with investing in POWERGRID Infrastructure Investment.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for POWERGRID Stock Analysis
When running POWERGRID Infrastructure's price analysis, check to measure POWERGRID Infrastructure's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy POWERGRID Infrastructure is operating at the current time. Most of POWERGRID Infrastructure's value examination focuses on studying past and present price action to predict the probability of POWERGRID Infrastructure's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move POWERGRID Infrastructure's price. Additionally, you may evaluate how the addition of POWERGRID Infrastructure to your portfolios can decrease your overall portfolio volatility.