Power Finance (India) Market Value
| PFC Stock | 481.50 7.05 1.49% |
| Symbol | Power |
Power Finance '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 Power Finance'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 Power Finance.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in Power Finance on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding Power Finance or generate 0.0% return on investment in Power Finance over 30 days. Power Finance is related to or competes with Cybertech Systems, Servotech Power, Hindware Home, Home First, Arrow Greentech, and Sasken Technologies. Power Finance is entity of India. It is traded as Stock on NSE exchange. More
Power Finance 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 Power Finance'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 Power Finance upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 11.05 | |||
| Value At Risk | (3.98) | |||
| Potential Upside | 4.77 |
Power Finance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Power Finance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Power Finance's standard deviation. In reality, there are many statistical measures that can use Power Finance historical prices to predict the future Power Finance's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.10) | |||
| Total Risk Alpha | (0.51) | |||
| Treynor Ratio | 1.9 |
Power Finance Backtested Returns
Power Finance maintains Sharpe Ratio (i.e., Efficiency) of -0.0501, which implies the firm had a -0.0501% return per unit of risk over the last 3 months. Power Finance exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Power Finance's Coefficient Of Variation of (2,589), variance of 6.57, and Risk Adjusted Performance of (0.02) to confirm the risk estimate we provide. The company holds a Beta of -0.0573, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Power Finance are expected to decrease at a much lower rate. During the bear market, Power Finance is likely to outperform the market. At this point, Power Finance has a negative expected return of -0.13%. Please make sure to check Power Finance's kurtosis, day median price, relative strength index, as well as the relationship between the daily balance of power and price action indicator , to decide if Power Finance performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.05 |
Very weak reverse predictability
Power Finance has very weak reverse predictability. Overlapping area represents the amount of predictability between Power Finance time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 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 Power Finance price movement. The serial correlation of -0.05 indicates that only as little as 5.0% of current Power Finance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.05 | |
| Spearman Rank Test | -0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 121.06 |
Power Finance lagged returns against current returns
Autocorrelation, which is Power Finance 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 Power Finance's stock expected returns. We can calculate the autocorrelation of Power Finance returns to help us make a trade decision. For example, suppose you find that Power Finance 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 |
Power Finance 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 Power Finance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Power Finance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Power Finance stock over time.
Current vs Lagged Prices |
| Timeline |
Power Finance Lagged Returns
When evaluating Power Finance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Power Finance stock have on its future price. Power Finance 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, Power Finance autocorrelation shows the relationship between Power Finance stock current value and its past values and can show if there is a momentum factor associated with investing in Power Finance.
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.Other Information on Investing in Power Stock
Power Finance financial ratios help investors to determine whether Power Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Power with respect to the benefits of owning Power Finance security.