PI Industries (India) Market Value
| PIIND Stock | 3,719 33.70 0.91% |
| Symbol | PIIND |
PI Industries '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 PI Industries' 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 PI Industries.
| 12/10/2023 |
| 01/03/2025 |
If you would invest 0.00 in PI Industries on December 10, 2023 and sell it all today you would earn a total of 0.00 from holding PI Industries Limited or generate 0.0% return on investment in PI Industries over 390 days. PI Industries is related to or competes with Alkali Metals, Hisar Metal, NRB Industrial, Speciality Restaurants, Aarey Drugs, Lakshmi Finance, and Repco Home. PI Industries is entity of India. It is traded as Stock on NSE exchange. More
PI Industries 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 PI Industries' 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 PI Industries Limited upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.26) | |||
| Maximum Drawdown | 6.26 | |||
| Value At Risk | (2.73) | |||
| Potential Upside | 1.68 |
PI Industries Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for PI Industries' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as PI Industries' standard deviation. In reality, there are many statistical measures that can use PI Industries historical prices to predict the future PI Industries' volatility.| Risk Adjusted Performance | (0.20) | |||
| Jensen Alpha | (0.34) | |||
| Total Risk Alpha | (0.34) | |||
| Treynor Ratio | (2.49) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of PI Industries' 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.
PI Industries Limited Backtested Returns
PI Industries Limited retains Efficiency (Sharpe Ratio) of -0.23, which implies the firm had a -0.23% return per unit of price deviation over the last 3 months. PI Industries exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check PI Industries' market risk adjusted performance of (2.48), and Information Ratio of (0.26) to confirm the risk estimate we provide. The company owns a Beta (Systematic Risk) of 0.14, which implies not very significant fluctuations relative to the market. As returns on the market increase, PI Industries' returns are expected to increase less than the market. However, during the bear market, the loss of holding PI Industries is expected to be smaller as well. At this point, PI Industries Limited has a negative expected return of -0.3%. Please make sure to check PI Industries' standard deviation, kurtosis, period momentum indicator, as well as the relationship between the maximum drawdown and day median price , to decide if PI Industries Limited performance from the past will be repeated sooner or later.
Auto-correlation | 0.32 |
Below average predictability
PI Industries Limited has below average predictability. Overlapping area represents the amount of predictability between PI Industries time series from 10th of December 2023 to 22nd of June 2024 and 22nd of June 2024 to 3rd 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 PI Industries Limited price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current PI Industries price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 95.6 K |
PI Industries Limited lagged returns against current returns
Autocorrelation, which is PI Industries 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 PI Industries' stock expected returns. We can calculate the autocorrelation of PI Industries returns to help us make a trade decision. For example, suppose you find that PI Industries 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 |
PI Industries 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 PI Industries stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if PI Industries stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in PI Industries stock over time.
Current vs Lagged Prices |
| Timeline |
PI Industries Lagged Returns
When evaluating PI Industries' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of PI Industries stock have on its future price. PI Industries 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, PI Industries autocorrelation shows the relationship between PI Industries stock current value and its past values and can show if there is a momentum factor associated with investing in PI Industries Limited.
Regressed Prices |
| Timeline |
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Other Information on Investing in PIIND Stock
PI Industries financial ratios help investors to determine whether PIIND 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 PIIND with respect to the benefits of owning PI Industries security.