Jindal Poly (India) Market Value
| JPOLYINVST | 911.75 8.30 0.90% |
| Symbol | Jindal |
Jindal Poly '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 Jindal Poly'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 Jindal Poly.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Jindal Poly on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Jindal Poly Investment or generate 0.0% return on investment in Jindal Poly over 30 days. Jindal Poly is related to or competes with Kingfa Science, Rico Auto, GACM Technologies, COSMO FIRST, Delta Manufacturing, Tribhovandas Bhimji, and Parag Milk. Jindal Poly is entity of India. It is traded as Stock on NSE exchange. More
Jindal Poly 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 Jindal Poly'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 Jindal Poly Investment upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.2 | |||
| Information Ratio | 0.0061 | |||
| Maximum Drawdown | 24.47 | |||
| Value At Risk | (3.43) | |||
| Potential Upside | 5.88 |
Jindal Poly Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Jindal Poly's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Jindal Poly's standard deviation. In reality, there are many statistical measures that can use Jindal Poly historical prices to predict the future Jindal Poly's volatility.| Risk Adjusted Performance | 0.0427 | |||
| Jensen Alpha | 0.1539 | |||
| Total Risk Alpha | (0.43) | |||
| Sortino Ratio | 0.0097 | |||
| Treynor Ratio | (3.77) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Jindal Poly'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.
Jindal Poly Investment Backtested Returns
As of now, Jindal Stock is very steady. Jindal Poly Investment holds Efficiency (Sharpe) Ratio of 0.0493, which attests that the entity had a 0.0493% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Jindal Poly Investment, which you can use to evaluate the volatility of the firm. Please check out Jindal Poly's Downside Deviation of 2.2, market risk adjusted performance of (3.76), and Risk Adjusted Performance of 0.0427 to validate if the risk estimate we provide is consistent with the expected return of 0.17%. Jindal Poly has a performance score of 3 on a scale of 0 to 100. The company retains a Market Volatility (i.e., Beta) of -0.0395, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Jindal Poly are expected to decrease at a much lower rate. During the bear market, Jindal Poly is likely to outperform the market. Jindal Poly Investment right now retains a risk of 3.53%. Please check out Jindal Poly value at risk, as well as the relationship between the kurtosis and market facilitation index , to decide if Jindal Poly will be following its current trending patterns.
Auto-correlation | -0.37 |
Poor reverse predictability
Jindal Poly Investment has poor reverse predictability. Overlapping area represents the amount of predictability between Jindal Poly time series from 1st of November 2024 to 16th of November 2024 and 16th of November 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 Jindal Poly Investment price movement. The serial correlation of -0.37 indicates that just about 37.0% of current Jindal Poly price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.37 | |
| Spearman Rank Test | -0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 1597.45 |
Jindal Poly Investment lagged returns against current returns
Autocorrelation, which is Jindal Poly 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 Jindal Poly's stock expected returns. We can calculate the autocorrelation of Jindal Poly returns to help us make a trade decision. For example, suppose you find that Jindal Poly 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 |
Jindal Poly 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 Jindal Poly stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Jindal Poly stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Jindal Poly stock over time.
Current vs Lagged Prices |
| Timeline |
Jindal Poly Lagged Returns
When evaluating Jindal Poly's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Jindal Poly stock have on its future price. Jindal Poly 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, Jindal Poly autocorrelation shows the relationship between Jindal Poly stock current value and its past values and can show if there is a momentum factor associated with investing in Jindal Poly 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.Other Information on Investing in Jindal Stock
Jindal Poly financial ratios help investors to determine whether Jindal 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 Jindal with respect to the benefits of owning Jindal Poly security.