Godawari Power's market value is the price at which a share of Godawari Power trades on a public exchange. It measures the collective expectations of Godawari Power And investors about its performance. Godawari Power is selling for under 187.01 as of the 18th of January 2025; that is 0.47 percent increase since the beginning of the trading day. The stock's lowest day price was 184.18. With this module, you can estimate the performance of a buy and hold strategy of Godawari Power And and determine expected loss or profit from investing in Godawari Power over a given investment horizon. Check out Godawari Power Correlation, Godawari Power Volatility and Godawari Power Alpha and Beta module to complement your research on Godawari Power.
Please note, there is a significant difference between Godawari Power's value and its price as these two are different measures arrived at by different means. Investors typically determine if Godawari Power is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Godawari Power's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Godawari 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 Godawari Power'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 Godawari Power.
0.00
12/19/2024
No Change 0.00
0.0
In 31 days
01/18/2025
0.00
If you would invest 0.00 in Godawari Power on December 19, 2024 and sell it all today you would earn a total of 0.00 from holding Godawari Power And or generate 0.0% return on investment in Godawari Power over 30 days. Godawari Power is related to or competes with Hisar Metal, Mangalam Drugs, Aarti Drugs, Manaksia Coated, Shivalik Bimetal, Ortel Communications, and Hindustan Copper. Godawari Power is entity of India. It is traded as Stock on NSE exchange. More
Godawari 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 Godawari Power'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 Godawari Power And upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Godawari Power's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Godawari Power's standard deviation. In reality, there are many statistical measures that can use Godawari Power historical prices to predict the future Godawari Power's volatility.
Godawari Power And holds Efficiency (Sharpe) Ratio of -0.0099, which attests that the entity had a -0.0099% return per unit of risk over the last 3 months. Godawari Power And exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Godawari Power's Downside Deviation of 2.18, market risk adjusted performance of 0.0149, and Risk Adjusted Performance of 0.0104 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.25, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Godawari Power's returns are expected to increase less than the market. However, during the bear market, the loss of holding Godawari Power is expected to be smaller as well. At this point, Godawari Power And has a negative expected return of -0.0237%. Please make sure to check out Godawari Power's mean deviation, downside deviation, standard deviation, as well as the relationship between the semi deviation and coefficient of variation , to decide if Godawari Power And performance from the past will be repeated at some point in the near future.
Auto-correlation
0.87
Very good predictability
Godawari Power And has very good predictability. Overlapping area represents the amount of predictability between Godawari Power time series from 19th of December 2024 to 3rd of January 2025 and 3rd of January 2025 to 18th of January 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 Godawari Power And price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current Godawari Power price fluctuation can be explain by its past prices.
Correlation Coefficient
0.87
Spearman Rank Test
0.85
Residual Average
0.0
Price Variance
84.37
Godawari Power And lagged returns against current returns
Autocorrelation, which is Godawari Power 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 Godawari Power's stock expected returns. We can calculate the autocorrelation of Godawari Power returns to help us make a trade decision. For example, suppose you find that Godawari Power 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
Godawari 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 Godawari Power stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Godawari Power stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Godawari Power stock over time.
Current vs Lagged Prices
Timeline
Godawari Power Lagged Returns
When evaluating Godawari Power's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Godawari Power stock have on its future price. Godawari 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, Godawari Power autocorrelation shows the relationship between Godawari Power stock current value and its past values and can show if there is a momentum factor associated with investing in Godawari Power And.
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.
When running Godawari Power's price analysis, check to measure Godawari Power'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 Godawari Power is operating at the current time. Most of Godawari Power's value examination focuses on studying past and present price action to predict the probability of Godawari Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Godawari Power's price. Additionally, you may evaluate how the addition of Godawari Power to your portfolios can decrease your overall portfolio volatility.