Enags Sa Stock Market Value
ENGGF Stock | USD 14.32 0.20 1.38% |
Symbol | Enags |
Enags SA '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 Enags SA'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 Enags SA.
03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in Enags SA on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding Enags SA or generate 0.0% return on investment in Enags SA over 30 days. Enags SA is related to or competes with Anhui Conch, Sysmex Corp, PICC Property, Morningstar Unconstrained, High Yield, Thrivent High, and Via Renewables. Enags, S.A. engages in the development, operation, and maintenance of gas infrastructures in Spain, Mexico, Chile, Peru,... More
Enags SA 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 Enags SA'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 Enags SA upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.16) | |||
Maximum Drawdown | 11.95 | |||
Value At Risk | (2.88) | |||
Potential Upside | 2.33 |
Enags SA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Enags SA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Enags SA's standard deviation. In reality, there are many statistical measures that can use Enags SA historical prices to predict the future Enags SA's volatility.Risk Adjusted Performance | (0.06) | |||
Jensen Alpha | (0.20) | |||
Total Risk Alpha | (0.46) | |||
Treynor Ratio | 1.62 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Enags SA'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.
Enags SA Backtested Returns
Enags SA secures Sharpe Ratio (or Efficiency) of -0.0911, which denotes the company had a -0.0911% return per unit of standard deviation over the last 3 months. Enags SA exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Enags SA's Standard Deviation of 1.83, coefficient of variation of (927.88), and Mean Deviation of 0.8769 to check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.13, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Enags SA are expected to decrease at a much lower rate. During the bear market, Enags SA is likely to outperform the market. Enags SA has an expected return of -0.17%. Please make sure to confirm Enags SA maximum drawdown, day median price, and the relationship between the jensen alpha and kurtosis , to decide if Enags SA performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.93 |
Near perfect reversele predictability
Enags SA has near perfect reversele predictability. Overlapping area represents the amount of predictability between Enags SA time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 Enags SA price movement. The serial correlation of -0.93 indicates that approximately 93.0% of current Enags SA price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.93 | |
Spearman Rank Test | -0.85 | |
Residual Average | 0.0 | |
Price Variance | 0.18 |
Enags SA lagged returns against current returns
Autocorrelation, which is Enags SA 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 Enags SA's pink sheet expected returns. We can calculate the autocorrelation of Enags SA returns to help us make a trade decision. For example, suppose you find that Enags SA 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 |
Enags SA 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 Enags SA pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Enags SA pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Enags SA pink sheet over time.
Current vs Lagged Prices |
Timeline |
Enags SA Lagged Returns
When evaluating Enags SA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Enags SA pink sheet have on its future price. Enags SA 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, Enags SA autocorrelation shows the relationship between Enags SA pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Enags SA.
Regressed Prices |
Timeline |
Pair Trading with Enags SA
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Enags SA position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Enags SA will appreciate offsetting losses from the drop in the long position's value.Moving together with Enags Pink Sheet
0.74 | GASNF | Naturgy Energy Group | PairCorr |
0.8 | GASNY | Naturgy Energy Group Earnings Call This Week | PairCorr |
Moving against Enags Pink Sheet
0.84 | NI | NiSource Financial Report 1st of May 2024 | PairCorr |
0.8 | ATO | Atmos Energy Financial Report 1st of May 2024 | PairCorr |
0.67 | HOKCY | Hong Kong | PairCorr |
0.66 | XNGSY | ENN Energy Holdings | PairCorr |
0.62 | XNGSF | ENN Energy Holdings | PairCorr |
The ability to find closely correlated positions to Enags SA could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Enags SA when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Enags SA - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Enags SA to buy it.
The correlation of Enags SA is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Enags SA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Enags SA moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Enags SA can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Enags SA Correlation, Enags SA Volatility and Enags SA Alpha and Beta module to complement your research on Enags SA. Note that the Enags SA information on this page should be used as a complementary analysis to other Enags SA's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the AI Investment Finder module to use AI to screen and filter profitable investment opportunities.
Complementary Tools for Enags Pink Sheet analysis
When running Enags SA's price analysis, check to measure Enags SA'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 Enags SA is operating at the current time. Most of Enags SA's value examination focuses on studying past and present price action to predict the probability of Enags SA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Enags SA's price. Additionally, you may evaluate how the addition of Enags SA to your portfolios can decrease your overall portfolio volatility.
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Enags SA 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.