Snam Spa Adr Stock Market Value
| SNMRY Stock | USD 8.97 0.05 0.55% |
| Symbol | Snam |
Snam 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 Snam 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 Snam SpA.
| 03/17/2024 |
| 04/16/2024 |
If you would invest 0.00 in Snam SpA on March 17, 2024 and sell it all today you would earn a total of 0.00 from holding Snam SpA ADR or generate 0.0% return on investment in Snam SpA over 30 days. Snam SpA is related to or competes with UGI Corp, NewJersey Resources, Atmos Energy, Brookfield InfrastructureCo, and New Fortress. Snam S.p.A., together with its subsidiaries, engages in the operation of natural gas transport and storage infrastructur... More
Snam 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 Snam 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 Snam SpA ADR upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 5.43 | |||
| Value At Risk | (2.13) | |||
| Potential Upside | 1.62 |
Snam SpA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Snam SpA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Snam SpA's standard deviation. In reality, there are many statistical measures that can use Snam SpA historical prices to predict the future Snam SpA's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | (0.72) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Snam SpA'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.
Snam SpA ADR Backtested Returns
Snam SpA ADR owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.16, which indicates the firm had a -0.16% return per unit of risk over the last 3 months. Snam SpA ADR exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Snam SpA's Risk Adjusted Performance of (0.09), coefficient of variation of (631.66), and Variance of 1.49 to confirm the risk estimate we provide. The entity has a beta of 0.28, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Snam SpA's returns are expected to increase less than the market. However, during the bear market, the loss of holding Snam SpA is expected to be smaller as well. Snam SpA ADR has an expected return of -0.19%. Please make sure to validate Snam SpA maximum drawdown, as well as the relationship between the daily balance of power and period momentum indicator , to decide if Snam SpA ADR performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.16 |
Insignificant reverse predictability
Snam SpA ADR has insignificant reverse predictability. Overlapping area represents the amount of predictability between Snam SpA time series from 17th of March 2024 to 1st of April 2024 and 1st of April 2024 to 16th of April 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 Snam SpA ADR price movement. The serial correlation of -0.16 indicates that over 16.0% of current Snam SpA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.16 | |
| Spearman Rank Test | -0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Snam SpA ADR lagged returns against current returns
Autocorrelation, which is Snam 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 Snam SpA's pink sheet expected returns. We can calculate the autocorrelation of Snam SpA returns to help us make a trade decision. For example, suppose you find that Snam 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 |
Snam 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 Snam SpA pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Snam 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 Snam SpA pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Snam SpA Lagged Returns
When evaluating Snam SpA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Snam SpA pink sheet have on its future price. Snam 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, Snam SpA autocorrelation shows the relationship between Snam SpA pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Snam SpA ADR.
Regressed Prices |
| Timeline |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Snam SpA in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Snam SpA's short interest history, or implied volatility extrapolated from Snam SpA options trading.
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Check out Snam SpA Correlation, Snam SpA Volatility and Snam SpA Alpha and Beta module to complement your research on Snam SpA. You can also try the Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Complementary Tools for Snam Pink Sheet analysis
When running Snam SpA's price analysis, check to measure Snam SpA'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 Snam SpA is operating at the current time. Most of Snam SpA's value examination focuses on studying past and present price action to predict the probability of Snam SpA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Snam SpA's price. Additionally, you may evaluate how the addition of Snam SpA to your portfolios can decrease your overall portfolio volatility.
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| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |
Snam SpA technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.