AllDay Marts (Philippines) Market Value
| ALLDY Stock | 0.14 0.01 7.69% |
| Symbol | AllDay |
AllDay Marts '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 AllDay Marts' 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 AllDay Marts.
| 12/09/2022 |
| 11/28/2024 |
If you would invest 0.00 in AllDay Marts on December 9, 2022 and sell it all today you would earn a total of 0.00 from holding AllDay Marts or generate 0.0% return on investment in AllDay Marts over 720 days. AllDay Marts is related to or competes with Security Bank, Cebu Air, Semirara Mining, Globe Telecom, STI Education, Rizal Commercial, and Asia United. More
AllDay Marts 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 AllDay Marts' 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 AllDay Marts upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 7.21 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 14.29 | |||
| Value At Risk | (6.67) | |||
| Potential Upside | 7.14 |
AllDay Marts Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for AllDay Marts' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as AllDay Marts' standard deviation. In reality, there are many statistical measures that can use AllDay Marts historical prices to predict the future AllDay Marts' volatility.| Risk Adjusted Performance | 0.0197 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.47) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.1169 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of AllDay Marts' 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.
AllDay Marts Backtested Returns
AllDay Marts secures Sharpe Ratio (or Efficiency) of -0.0546, which signifies that the company had a -0.0546% return per unit of risk over the last 3 months. AllDay Marts exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm AllDay Marts' Downside Deviation of 7.21, mean deviation of 1.51, and Risk Adjusted Performance of 0.0197 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.35, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, AllDay Marts' returns are expected to increase less than the market. However, during the bear market, the loss of holding AllDay Marts is expected to be smaller as well. At this point, AllDay Marts has a negative expected return of -0.17%. Please make sure to confirm AllDay Marts' sortino ratio and the relationship between the downside variance and price action indicator , to decide if AllDay Marts performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.64 |
Good predictability
AllDay Marts has good predictability. Overlapping area represents the amount of predictability between AllDay Marts time series from 9th of December 2022 to 4th of December 2023 and 4th of December 2023 to 28th 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 AllDay Marts price movement. The serial correlation of 0.64 indicates that roughly 64.0% of current AllDay Marts price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.64 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
AllDay Marts lagged returns against current returns
Autocorrelation, which is AllDay Marts 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 AllDay Marts' stock expected returns. We can calculate the autocorrelation of AllDay Marts returns to help us make a trade decision. For example, suppose you find that AllDay Marts 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 |
AllDay Marts 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 AllDay Marts stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if AllDay Marts stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in AllDay Marts stock over time.
Current vs Lagged Prices |
| Timeline |
AllDay Marts Lagged Returns
When evaluating AllDay Marts' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of AllDay Marts stock have on its future price. AllDay Marts 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, AllDay Marts autocorrelation shows the relationship between AllDay Marts stock current value and its past values and can show if there is a momentum factor associated with investing in AllDay Marts.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Tools for AllDay Stock Analysis
When running AllDay Marts' price analysis, check to measure AllDay Marts' 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 AllDay Marts is operating at the current time. Most of AllDay Marts' value examination focuses on studying past and present price action to predict the probability of AllDay Marts' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move AllDay Marts' price. Additionally, you may evaluate how the addition of AllDay Marts to your portfolios can decrease your overall portfolio volatility.