Eni Spa Stock Market Value
| EIPAF Stock | USD 16.45 0.19 1.17% |
| Symbol | Eni |
Eni SpA '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 Eni SpA's pink sheet 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 Eni SpA.
| 04/23/2025 |
| 07/22/2025 |
If you would invest 0.00 in Eni SpA on April 23, 2025 and sell it all today you would earn a total of 0.00 from holding Eni SpA or generate 0.0% return on investment in Eni SpA over 90 days. Eni SpA is related to or competes with MOL PLC, PetroChina, Equinor ASA, Shell PLC, Galp Energa, BP Plc, and TotalEnergies. Eni S.p.A. engages in the exploration, development, and production of crude oil and natural gas More
Eni SpA 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 Eni SpA's pink sheet 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 Eni SpA upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.37 | |||
| Information Ratio | 0.0922 | |||
| Maximum Drawdown | 23.58 | |||
| Value At Risk | (4.15) | |||
| Potential Upside | 6.49 |
Eni SpA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Eni SpA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Eni SpA's standard deviation. In reality, there are many statistical measures that can use Eni SpA historical prices to predict the future Eni SpA's volatility.| Risk Adjusted Performance | 0.1338 | |||
| Jensen Alpha | 0.3492 | |||
| Total Risk Alpha | (0.04) | |||
| Sortino Ratio | 0.0706 | |||
| Treynor Ratio | 0.6334 |
Eni SpA Backtested Returns
Eni SpA appears to be not too volatile, given 3 months investment horizon. Eni SpA secures Sharpe Ratio (or Efficiency) of 0.0904, which denotes the company had a 0.0904 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Eni SpA, which you can use to evaluate the volatility of the firm. Please utilize Eni SpA's Mean Deviation of 2.04, coefficient of variation of 736.14, and Downside Deviation of 4.37 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Eni SpA holds a performance score of 7. The firm shows a Beta (market volatility) of 0.7, which means possible diversification benefits within a given portfolio. As returns on the market increase, Eni SpA's returns are expected to increase less than the market. However, during the bear market, the loss of holding Eni SpA is expected to be smaller as well. Please check Eni SpA's information ratio, value at risk, kurtosis, as well as the relationship between the sortino ratio and semi variance , to make a quick decision on whether Eni SpA's price patterns will revert.
Auto-correlation | 0.21 |
Weak predictability
Eni SpA has weak predictability. Overlapping area represents the amount of predictability between Eni SpA time series from 23rd of April 2025 to 7th of June 2025 and 7th of June 2025 to 22nd of July 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 Eni SpA price movement. The serial correlation of 0.21 indicates that over 21.0% of current Eni SpA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.4 |
Eni SpA lagged returns against current returns
Autocorrelation, which is Eni SpA pink sheet'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 Eni SpA's pink sheet expected returns. We can calculate the autocorrelation of Eni SpA returns to help us make a trade decision. For example, suppose you find that Eni SpA has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Eni SpA 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 Eni SpA pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Eni SpA pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Eni SpA pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Eni SpA Lagged Returns
When evaluating Eni SpA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Eni SpA pink sheet have on its future price. Eni SpA 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, Eni SpA autocorrelation shows the relationship between Eni SpA pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Eni SpA.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Eni Pink Sheet
Eni SpA financial ratios help investors to determine whether Eni Pink Sheet 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 Eni with respect to the benefits of owning Eni SpA security.