Hanover Foods Stock Market Value
| HNFSB Stock | USD 61.72 0.00 0.00% |
| Symbol | Hanover |
Hanover Foods '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 Hanover Foods' 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 Hanover Foods.
| 04/10/2024 |
| 05/10/2024 |
If you would invest 0.00 in Hanover Foods on April 10, 2024 and sell it all today you would earn a total of 0.00 from holding Hanover Foods or generate 0.0% return on investment in Hanover Foods over 30 days. Hanover Foods is related to or competes with Bit Origin, Bon Natural, and Nuzee. Hanover Foods Corporation engages in processing, packaging, and selling fresh canned and frozen products More
Hanover Foods 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 Hanover Foods' 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 Hanover Foods upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (1.49) | |||
| Maximum Drawdown | 0.4394 |
Hanover Foods Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hanover Foods' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hanover Foods' standard deviation. In reality, there are many statistical measures that can use Hanover Foods historical prices to predict the future Hanover Foods' volatility.| Risk Adjusted Performance | (0.03) | |||
| Total Risk Alpha | (0.01) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hanover Foods' 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.
Hanover Foods Backtested Returns
We have found thirteen technical indicators for Hanover Foods, which you can use to evaluate the volatility of the firm. Please check out Hanover Foods' Risk Adjusted Performance of (0.03), variance of 0.0029, and Mean Deviation of 0.0131 to validate if the risk estimate we provide is consistent with the expected return of 0.0%. The company retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and Hanover Foods are completely uncorrelated. Hanover Foods right now retains a risk of 0.0%. Please check out Hanover Foods information ratio and rate of daily change , to decide if Hanover Foods will be following its current trending patterns.
Auto-correlation | 0.00 |
No correlation between past and present
Hanover Foods has no correlation between past and present. Overlapping area represents the amount of predictability between Hanover Foods time series from 10th of April 2024 to 25th of April 2024 and 25th of April 2024 to 10th of May 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 Hanover Foods price movement. The serial correlation of 0.0 indicates that just 0.0% of current Hanover Foods price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Hanover Foods lagged returns against current returns
Autocorrelation, which is Hanover Foods 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 Hanover Foods' pink sheet expected returns. We can calculate the autocorrelation of Hanover Foods returns to help us make a trade decision. For example, suppose you find that Hanover Foods 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 |
Hanover Foods 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 Hanover Foods pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hanover Foods pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hanover Foods pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Hanover Foods Lagged Returns
When evaluating Hanover Foods' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hanover Foods pink sheet have on its future price. Hanover Foods 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, Hanover Foods autocorrelation shows the relationship between Hanover Foods pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Hanover Foods.
Regressed Prices |
| Timeline |
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Complementary Tools for Hanover Pink Sheet analysis
When running Hanover Foods' price analysis, check to measure Hanover Foods' 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 Hanover Foods is operating at the current time. Most of Hanover Foods' value examination focuses on studying past and present price action to predict the probability of Hanover Foods' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hanover Foods' price. Additionally, you may evaluate how the addition of Hanover Foods to your portfolios can decrease your overall portfolio volatility.
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Hanover Foods technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.