Retail Food Group Stock Market Value
| RFGPF Stock | USD 1.60 0.00 0.00% |
| Symbol | Retail |
Retail Food '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 Retail Food'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 Retail Food.
| 11/24/2025 |
| 12/24/2025 |
If you would invest 0.00 in Retail Food on November 24, 2025 and sell it all today you would earn a total of 0.00 from holding Retail Food Group or generate 0.0% return on investment in Retail Food over 30 days. Retail Food is related to or competes with Giant, Hengdeli Holdings, and Portsmouth Square. Retail Food Group Limited, a food and beverage company, engages in the management of a multi-brand retail food and bever... More
Retail Food 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 Retail Food'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 Retail Food Group upside and downside potential and time the market with a certain degree of confidence.
Retail Food Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Retail Food's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Retail Food's standard deviation. In reality, there are many statistical measures that can use Retail Food historical prices to predict the future Retail Food's volatility.Retail Food Group Backtested Returns
We have found three technical indicators for Retail Food Group, which you can use to evaluate the volatility of the company. The company holds a Beta of 0.0, which implies not very significant fluctuations relative to the market. the returns on MARKET and Retail Food are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
Retail Food Group has perfect predictability. Overlapping area represents the amount of predictability between Retail Food time series from 24th of November 2025 to 9th of December 2025 and 9th of December 2025 to 24th of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Retail Food Group price movement. The serial correlation of 1.0 indicates that 100.0% of current Retail Food price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Retail Food Group lagged returns against current returns
Autocorrelation, which is Retail Food 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 Retail Food's pink sheet expected returns. We can calculate the autocorrelation of Retail Food returns to help us make a trade decision. For example, suppose you find that Retail Food 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 |
Retail Food 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 Retail Food pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Retail Food pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Retail Food pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Retail Food Lagged Returns
When evaluating Retail Food's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Retail Food pink sheet have on its future price. Retail Food 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, Retail Food autocorrelation shows the relationship between Retail Food pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Retail Food Group.
Regressed Prices |
| Timeline |
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Other Information on Investing in Retail Pink Sheet
Retail Food financial ratios help investors to determine whether Retail 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 Retail with respect to the benefits of owning Retail Food security.