E Shopping (Poland) Market Value
| ESG Stock | 0.58 0.03 5.45% |
| Symbol | ESG |
E Shopping '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 E Shopping'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 E Shopping.
| 10/25/2024 |
| 12/24/2024 |
If you would invest 0.00 in E Shopping on October 25, 2024 and sell it all today you would earn a total of 0.00 from holding E shopping Group SA or generate 0.0% return on investment in E Shopping over 60 days.
E Shopping 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 E Shopping'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 E shopping Group SA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 35.55 | |||
| Value At Risk | (12.70) | |||
| Potential Upside | 10.96 |
E Shopping Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for E Shopping's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as E Shopping's standard deviation. In reality, there are many statistical measures that can use E Shopping historical prices to predict the future E Shopping's volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.56) | |||
| Total Risk Alpha | (0.76) | |||
| Treynor Ratio | (8.75) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of E Shopping'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.
E shopping Group Backtested Returns
E shopping Group secures Sharpe Ratio (or Efficiency) of -0.14, which denotes the company had a -0.14% return per unit of risk over the last 3 months. E shopping Group SA exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm E Shopping's Variance of 48.48, standard deviation of 6.96, and Mean Deviation of 4.97 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0639, which means not very significant fluctuations relative to the market. As returns on the market increase, E Shopping's returns are expected to increase less than the market. However, during the bear market, the loss of holding E Shopping is expected to be smaller as well. At this point, E shopping Group has a negative expected return of -1.01%. Please make sure to confirm E Shopping's skewness, as well as the relationship between the rate of daily change and price action indicator , to decide if E shopping Group performance from the past will be repeated in the future.
Auto-correlation | 0.65 |
Good predictability
E shopping Group SA has good predictability. Overlapping area represents the amount of predictability between E Shopping time series from 25th of October 2024 to 24th of November 2024 and 24th of November 2024 to 24th 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 E shopping Group price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current E Shopping price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
E shopping Group lagged returns against current returns
Autocorrelation, which is E Shopping 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 E Shopping's stock expected returns. We can calculate the autocorrelation of E Shopping returns to help us make a trade decision. For example, suppose you find that E Shopping 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 |
E Shopping 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 E Shopping stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if E Shopping stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in E Shopping stock over time.
Current vs Lagged Prices |
| Timeline |
E Shopping Lagged Returns
When evaluating E Shopping's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of E Shopping stock have on its future price. E Shopping 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, E Shopping autocorrelation shows the relationship between E Shopping stock current value and its past values and can show if there is a momentum factor associated with investing in E shopping Group SA.
Regressed Prices |
| Timeline |
Pair Trading with E Shopping
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 E Shopping 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 E Shopping will appreciate offsetting losses from the drop in the long position's value.Moving together with ESG Stock
Moving against ESG Stock
| 0.82 | DNP | Dino Polska SA | PairCorr |
| 0.8 | XTB | X Trade Brokers | PairCorr |
| 0.78 | CEZ | CEZ as | PairCorr |
| 0.78 | BTK | Biztech Konsulting | PairCorr |
| 0.75 | PZU | Powszechny Zaklad | PairCorr |
The ability to find closely correlated positions to E Shopping could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace E Shopping 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 E Shopping - 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 E shopping Group SA to buy it.
The correlation of E Shopping 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 E Shopping moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if E shopping Group 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 E Shopping 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.Additional Tools for ESG Stock Analysis
When running E Shopping's price analysis, check to measure E Shopping'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 E Shopping is operating at the current time. Most of E Shopping's value examination focuses on studying past and present price action to predict the probability of E Shopping's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move E Shopping's price. Additionally, you may evaluate how the addition of E Shopping to your portfolios can decrease your overall portfolio volatility.