The Marzetti Stock Market Value
| MZTI Stock | 165.85 0.36 0.22% |
| Symbol | Marzetti |
Marzetti Price To Book Ratio
Is Agricultural Products & Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Marzetti. If investors know Marzetti will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Marzetti listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.043 | Dividend Share 3.8 | Earnings Share 6.17 | Revenue Per Share | Quarterly Revenue Growth 0.202 |
The market value of Marzetti is measured differently than its book value, which is the value of Marzetti that is recorded on the company's balance sheet. Investors also form their own opinion of Marzetti's value that differs from its market value or its book value, called intrinsic value, which is Marzetti's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Marzetti's market value can be influenced by many factors that don't directly affect Marzetti's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Marzetti's value and its price as these two are different measures arrived at by different means. Investors typically determine if Marzetti is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Marzetti's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Marzetti '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 Marzetti'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 Marzetti.
| 07/01/2025 |
| 12/28/2025 |
If you would invest 0.00 in Marzetti on July 1, 2025 and sell it all today you would earn a total of 0.00 from holding The Marzetti or generate 0.0% return on investment in Marzetti over 180 days. Marzetti is related to or competes with Treehouse Foods, John B, Seneca Foods, J J, Bridgford Foods, Bellring Brands, and Post Holdings. Marzetti is entity of United States. It is traded as Stock on NASDAQ exchange. More
Marzetti 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 Marzetti'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 The Marzetti upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 12.08 | |||
| Value At Risk | (2.02) | |||
| Potential Upside | 1.88 |
Marzetti Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Marzetti's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Marzetti's standard deviation. In reality, there are many statistical measures that can use Marzetti historical prices to predict the future Marzetti's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | 1.28 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Marzetti'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.
Marzetti Backtested Returns
Marzetti has Sharpe Ratio of -0.0183, which conveys that the firm had a -0.0183 % return per unit of risk over the last 3 months. Marzetti exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Marzetti's Market Risk Adjusted Performance of 1.29, standard deviation of 1.64, and Risk Adjusted Performance of (0.02) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of -0.0499, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Marzetti are expected to decrease at a much lower rate. During the bear market, Marzetti is likely to outperform the market. At this point, Marzetti has a negative expected return of -0.0305%. Please make sure to verify Marzetti's maximum drawdown, as well as the relationship between the accumulation distribution and market facilitation index , to decide if Marzetti performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.07 |
Virtually no predictability
The Marzetti has virtually no predictability. Overlapping area represents the amount of predictability between Marzetti time series from 1st of July 2025 to 29th of September 2025 and 29th of September 2025 to 28th 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 Marzetti price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Marzetti price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | -0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 19.2 |
Marzetti lagged returns against current returns
Autocorrelation, which is Marzetti 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 Marzetti's stock expected returns. We can calculate the autocorrelation of Marzetti returns to help us make a trade decision. For example, suppose you find that Marzetti 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 |
Marzetti 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 Marzetti stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Marzetti stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Marzetti stock over time.
Current vs Lagged Prices |
| Timeline |
Marzetti Lagged Returns
When evaluating Marzetti's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Marzetti stock have on its future price. Marzetti 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, Marzetti autocorrelation shows the relationship between Marzetti stock current value and its past values and can show if there is a momentum factor associated with investing in The Marzetti.
Regressed Prices |
| Timeline |
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Check out Marzetti Correlation, Marzetti Volatility and Marzetti Alpha and Beta module to complement your research on Marzetti. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Marzetti technical stock 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, stock market cycles, or different charting patterns.