Cal Maine Foods Stock Market Value
| CALM Stock | USD 97.61 0.46 0.47% |
| Symbol | Cal |
Cal Maine Foods Price To Book Ratio
Is Packaged Foods & Meats 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 Cal Maine. If investors know Cal 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 Cal Maine 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 159.9 | Dividend Share 2.902 | Earnings Share 8.73 | Revenue Per Share 54.437 | Quarterly Revenue Growth 0.711 |
The market value of Cal Maine Foods is measured differently than its book value, which is the value of Cal that is recorded on the company's balance sheet. Investors also form their own opinion of Cal Maine's value that differs from its market value or its book value, called intrinsic value, which is Cal Maine'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 Cal Maine's market value can be influenced by many factors that don't directly affect Cal Maine'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 Cal Maine's value and its price as these two are different measures arrived at by different means. Investors typically determine if Cal Maine is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cal Maine'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.
Cal Maine '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 Cal Maine'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 Cal Maine.
| 09/01/2024 |
| 11/30/2024 |
If you would invest 0.00 in Cal Maine on September 1, 2024 and sell it all today you would earn a total of 0.00 from holding Cal Maine Foods or generate 0.0% return on investment in Cal Maine over 90 days. Cal Maine is related to or competes with Campbell Soup, ConAgra Foods, Hormel Foods, Kellanova, McCormick Company, Lamb Weston, and JM Smucker. Cal-Maine Foods, Inc., together with its subsidiaries, produces, grades, packages, markets, and distributes shell eggs More
Cal Maine 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 Cal Maine'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 Cal Maine Foods upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.45 | |||
| Information Ratio | 0.2164 | |||
| Maximum Drawdown | 9.06 | |||
| Value At Risk | (1.86) | |||
| Potential Upside | 3.33 |
Cal Maine Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cal Maine's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cal Maine's standard deviation. In reality, there are many statistical measures that can use Cal Maine historical prices to predict the future Cal Maine's volatility.| Risk Adjusted Performance | 0.2328 | |||
| Jensen Alpha | 0.4279 | |||
| Total Risk Alpha | 0.2116 | |||
| Sortino Ratio | 0.2535 | |||
| Treynor Ratio | 0.9357 |
Cal Maine Foods Backtested Returns
Cal Maine appears to be very steady, given 3 months investment horizon. Cal Maine Foods secures Sharpe Ratio (or Efficiency) of 0.31, which signifies that the company had a 0.31% return per unit of risk over the last 3 months. By analyzing Cal Maine's technical indicators, you can evaluate if the expected return of 0.54% is justified by implied risk. Please makes use of Cal Maine's Mean Deviation of 1.22, risk adjusted performance of 0.2328, and Downside Deviation of 1.45 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Cal Maine holds a performance score of 24. The firm shows a Beta (market volatility) of 0.53, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Cal Maine's returns are expected to increase less than the market. However, during the bear market, the loss of holding Cal Maine is expected to be smaller as well. Please check Cal Maine's total risk alpha, expected short fall, price action indicator, as well as the relationship between the value at risk and daily balance of power , to make a quick decision on whether Cal Maine's price patterns will revert.
Auto-correlation | 0.85 |
Very good predictability
Cal Maine Foods has very good predictability. Overlapping area represents the amount of predictability between Cal Maine time series from 1st of September 2024 to 16th of October 2024 and 16th of October 2024 to 30th 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 Cal Maine Foods price movement. The serial correlation of 0.85 indicates that around 85.0% of current Cal Maine price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.85 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 10.27 |
Cal Maine Foods lagged returns against current returns
Autocorrelation, which is Cal Maine 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 Cal Maine's stock expected returns. We can calculate the autocorrelation of Cal Maine returns to help us make a trade decision. For example, suppose you find that Cal Maine 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 |
Cal Maine 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 Cal Maine stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cal Maine stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cal Maine stock over time.
Current vs Lagged Prices |
| Timeline |
Cal Maine Lagged Returns
When evaluating Cal Maine's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cal Maine stock have on its future price. Cal Maine 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, Cal Maine autocorrelation shows the relationship between Cal Maine stock current value and its past values and can show if there is a momentum factor associated with investing in Cal Maine Foods.
Regressed Prices |
| Timeline |
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Cal Maine 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.