Egrnf Stock Market Value
| EGRNF Stock | USD 0.0002 0.00 0.00% |
| Symbol | EGRNF |
EGRNF '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 EGRNF'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 EGRNF.
| 12/22/2022 |
| 12/11/2024 |
If you would invest 0.00 in EGRNF on December 22, 2022 and sell it all today you would earn a total of 0.00 from holding EGRNF or generate 0.0% return on investment in EGRNF over 720 days. EGRNF is related to or competes with Hong Kong, Wharf Holdings, Sun Hung, Sino Land, Country Garden, Sun Hung, and Daiwa House. China Evergrande Group, an investment holding company, primarily engages in the property development business in the Peo... More
EGRNF 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 EGRNF'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 EGRNF upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1834 | |||
| Maximum Drawdown | 3398.04 | |||
| Value At Risk | (90.00) | |||
| Potential Upside | 50.0 |
EGRNF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for EGRNF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as EGRNF's standard deviation. In reality, there are many statistical measures that can use EGRNF historical prices to predict the future EGRNF's volatility.| Risk Adjusted Performance | 0.1426 | |||
| Jensen Alpha | 91.54 | |||
| Total Risk Alpha | 12.04 | |||
| Treynor Ratio | (2.65) |
EGRNF Backtested Returns
EGRNF is out of control given 3 months investment horizon. EGRNF secures Sharpe Ratio (or Efficiency) of 0.2, which denotes the company had a 0.2% return per unit of volatility over the last 3 months. We were able to interpolate eighteen different technical indicators, which can help you to evaluate if expected returns of 41.14% are justified by taking the suggested risk. Use EGRNF Market Risk Adjusted Performance of (2.64), mean deviation of 176.87, and Standard Deviation of 477.86 to evaluate company specific risk that cannot be diversified away. EGRNF holds a performance score of 15 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -33.14, which means a somewhat significant risk relative to the market. As returns on the market increase, returns on owning EGRNF are expected to decrease by larger amounts. On the other hand, during market turmoil, EGRNF is expected to outperform it. Use EGRNF information ratio, potential upside, as well as the relationship between the Potential Upside and day median price , to analyze future returns on EGRNF.
Auto-correlation | 0.17 |
Very weak predictability
EGRNF has very weak predictability. Overlapping area represents the amount of predictability between EGRNF time series from 22nd of December 2022 to 17th of December 2023 and 17th of December 2023 to 11th 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 EGRNF price movement. The serial correlation of 0.17 indicates that over 17.0% of current EGRNF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.17 | |
| Spearman Rank Test | -0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
EGRNF lagged returns against current returns
Autocorrelation, which is EGRNF 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 EGRNF's pink sheet expected returns. We can calculate the autocorrelation of EGRNF returns to help us make a trade decision. For example, suppose you find that EGRNF 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 |
EGRNF 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 EGRNF pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if EGRNF pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in EGRNF pink sheet over time.
Current vs Lagged Prices |
| Timeline |
EGRNF Lagged Returns
When evaluating EGRNF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of EGRNF pink sheet have on its future price. EGRNF 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, EGRNF autocorrelation shows the relationship between EGRNF pink sheet current value and its past values and can show if there is a momentum factor associated with investing in EGRNF.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in EGRNF Pink Sheet
EGRNF financial ratios help investors to determine whether EGRNF 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 EGRNF with respect to the benefits of owning EGRNF security.