The Very Good Stock Market Value
| VGFCQ Stock | 0.01 0.00 0.00% |
| Symbol | Very |
Very Good '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 Very Good'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 Very Good.
| 12/12/2025 |
| 01/11/2026 |
If you would invest 0.00 in Very Good on December 12, 2025 and sell it all today you would earn a total of 0.00 from holding The Very Good or generate 0.0% return on investment in Very Good over 30 days. Very Good is related to or competes with ConAgra Foods, Evertz Technologies, Schweiter Technologies, Retail Food, Minerals Technologies, and Asure Software. More
Very Good 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 Very Good'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 The Very Good upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.2294 | |||
| Maximum Drawdown | 1100.0 | |||
| Value At Risk | (100.00) | |||
| Potential Upside | 1000.0 |
Very Good Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Very Good's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Very Good's standard deviation. In reality, there are many statistical measures that can use Very Good historical prices to predict the future Very Good's volatility.| Risk Adjusted Performance | 0.1809 | |||
| Jensen Alpha | 58.7 | |||
| Total Risk Alpha | 28.96 | |||
| Treynor Ratio | (3.07) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Very Good'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.
Very Good Backtested Returns
Very Good is out of control given 3 months investment horizon. Very Good owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.23, which indicates the firm had a 0.23 % return per unit of risk over the last 3 months. We were able to break down eighteen different technical indicators, which can help you to evaluate if expected returns of 57.14% are justified by taking the suggested risk. Use Very Good Coefficient Of Variation of 435.2, variance of 61843.32, and Risk Adjusted Performance of 0.1809 to evaluate company specific risk that cannot be diversified away. Very Good holds a performance score of 18 on a scale of zero to a hundred. The entity has a beta of -18.6, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Very Good are expected to decrease by larger amounts. On the other hand, during market turmoil, Very Good is expected to outperform it. Use Very Good standard deviation, value at risk, as well as the relationship between the Value At Risk and day median price , to analyze future returns on Very Good.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Very Good lagged returns against current returns
Autocorrelation, which is Very Good 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 Very Good's pink sheet expected returns. We can calculate the autocorrelation of Very Good returns to help us make a trade decision. For example, suppose you find that Very Good 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 |
Very Good 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 Very Good pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Very Good pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Very Good pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Very Good Lagged Returns
When evaluating Very Good's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Very Good pink sheet have on its future price. Very Good 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, Very Good autocorrelation shows the relationship between Very Good pink sheet current value and its past values and can show if there is a momentum factor associated with investing in The Very Good.
Regressed Prices |
| Timeline |
Pair Trading with Very Good
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 Very Good 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 Very Good will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Very Good could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Very Good 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 Very Good - 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 The Very Good to buy it.
The correlation of Very Good 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 Very Good moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Very Good 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 Very Good 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 Very Pink Sheet Analysis
When running Very Good's price analysis, check to measure Very Good'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 Very Good is operating at the current time. Most of Very Good's value examination focuses on studying past and present price action to predict the probability of Very Good's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Very Good's price. Additionally, you may evaluate how the addition of Very Good to your portfolios can decrease your overall portfolio volatility.