Everyday People Financial Stock Market Value
| EPF Stock | 0.39 0.01 2.50% |
| Symbol | Everyday |
Everyday People '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 Everyday People'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 Everyday People.
| 05/26/2024 |
| 11/22/2024 |
If you would invest 0.00 in Everyday People on May 26, 2024 and sell it all today you would earn a total of 0.00 from holding Everyday People Financial or generate 0.0% return on investment in Everyday People over 180 days. Everyday People is related to or competes with Waste Connections, CCL Industries, IShares Canadian, Invesco SP, Financial, Rubicon Organics, and Linamar. Everyday People is entity of Canada. It is traded as Stock on V exchange. More
Everyday People 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 Everyday People'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 Everyday People Financial upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.06 | |||
| Information Ratio | 0.0716 | |||
| Maximum Drawdown | 22.2 | |||
| Value At Risk | (6.06) | |||
| Potential Upside | 7.89 |
Everyday People Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Everyday People's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Everyday People's standard deviation. In reality, there are many statistical measures that can use Everyday People historical prices to predict the future Everyday People's volatility.| Risk Adjusted Performance | 0.0804 | |||
| Jensen Alpha | 0.3869 | |||
| Total Risk Alpha | (0.08) | |||
| Sortino Ratio | 0.0554 | |||
| Treynor Ratio | (1.50) |
Everyday People Financial Backtested Returns
Everyday People appears to be out of control, given 3 months investment horizon. Everyday People Financial secures Sharpe Ratio (or Efficiency) of 0.091, which denotes the company had a 0.091% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Everyday People Financial, which you can use to evaluate the volatility of the firm. Please utilize Everyday People's Mean Deviation of 2.82, coefficient of variation of 1042.23, and Downside Deviation of 5.06 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Everyday People holds a performance score of 7. The firm shows a Beta (market volatility) of -0.24, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Everyday People are expected to decrease at a much lower rate. During the bear market, Everyday People is likely to outperform the market. Please check Everyday People's downside variance, day median price, and the relationship between the treynor ratio and kurtosis , to make a quick decision on whether Everyday People's price patterns will revert.
Auto-correlation | -0.82 |
Excellent reverse predictability
Everyday People Financial has excellent reverse predictability. Overlapping area represents the amount of predictability between Everyday People time series from 26th of May 2024 to 24th of August 2024 and 24th of August 2024 to 22nd of November 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 Everyday People Financial price movement. The serial correlation of -0.82 indicates that around 82.0% of current Everyday People price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.82 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Everyday People Financial lagged returns against current returns
Autocorrelation, which is Everyday People 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 Everyday People's stock expected returns. We can calculate the autocorrelation of Everyday People returns to help us make a trade decision. For example, suppose you find that Everyday People 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 |
Everyday People 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 Everyday People stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Everyday People stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Everyday People stock over time.
Current vs Lagged Prices |
| Timeline |
Everyday People Lagged Returns
When evaluating Everyday People's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Everyday People stock have on its future price. Everyday People 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, Everyday People autocorrelation shows the relationship between Everyday People stock current value and its past values and can show if there is a momentum factor associated with investing in Everyday People Financial.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for Everyday Stock Analysis
When running Everyday People's price analysis, check to measure Everyday People'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 Everyday People is operating at the current time. Most of Everyday People's value examination focuses on studying past and present price action to predict the probability of Everyday People's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Everyday People's price. Additionally, you may evaluate how the addition of Everyday People to your portfolios can decrease your overall portfolio volatility.