Hormel Foods Stock Market Value
| HRL Stock | USD 34.10 0.06 0.18% |
| Symbol | Hormel |
Hormel Foods Price To Book Ratio
Is Hormel Foods' industry 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 Hormel Foods. If investors know Hormel 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 Hormel Foods 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 0.004 | Dividend Share 1.108 | Earnings Share 1.45 | Revenue Per Share 22.203 | Quarterly Revenue Growth 0.009 |
The market value of Hormel Foods is measured differently than its book value, which is the value of Hormel that is recorded on the company's balance sheet. Investors also form their own opinion of Hormel Foods' value that differs from its market value or its book value, called intrinsic value, which is Hormel Foods' 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 Hormel Foods' market value can be influenced by many factors that don't directly affect Hormel Foods' 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 Hormel Foods' value and its price as these two are different measures arrived at by different means. Investors typically determine if Hormel Foods is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Hormel Foods' 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.
Hormel 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 Hormel Foods' 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 Hormel Foods.
| 10/21/2023 |
| 04/18/2024 |
If you would invest 0.00 in Hormel Foods on October 21, 2023 and sell it all today you would earn a total of 0.00 from holding Hormel Foods or generate 0.0% return on investment in Hormel Foods over 180 days. Hormel Foods is related to or competes with Central Garden, Central Garden, and A2 Milk. Hormel Foods Corporation develops, processes, and distributes various meat, nuts, and food products to retail, foodservi... More
Hormel 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 Hormel Foods' 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 Hormel Foods upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.64 | |||
| Information Ratio | 0.0477 | |||
| Maximum Drawdown | 20.06 | |||
| Value At Risk | (2.19) | |||
| Potential Upside | 1.83 |
Hormel Foods Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hormel Foods' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hormel Foods' standard deviation. In reality, there are many statistical measures that can use Hormel Foods historical prices to predict the future Hormel Foods' volatility.| Risk Adjusted Performance | 0.053 | |||
| Jensen Alpha | 0.1626 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | 0.0646 | |||
| Treynor Ratio | (0.62) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hormel 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.
Hormel Foods Backtested Returns
Hormel Foods appears to be very steady, given 3 months investment horizon. Hormel Foods holds Efficiency (Sharpe) Ratio of 0.0894, which attests that the entity had a 0.0894% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Hormel Foods, which you can use to evaluate the volatility of the firm. Please utilize Hormel Foods' Risk Adjusted Performance of 0.053, downside deviation of 1.64, and Market Risk Adjusted Performance of (0.61) to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Hormel Foods holds a performance score of 6. The company retains a Market Volatility (i.e., Beta) of -0.24, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Hormel Foods are expected to decrease at a much lower rate. During the bear market, Hormel Foods is likely to outperform the market. Please check Hormel Foods' value at risk, as well as the relationship between the skewness and day median price , to make a quick decision on whether Hormel Foods' current trending patterns will revert.
Auto-correlation | -0.35 |
Poor reverse predictability
Hormel Foods has poor reverse predictability. Overlapping area represents the amount of predictability between Hormel Foods time series from 21st of October 2023 to 19th of January 2024 and 19th of January 2024 to 18th of April 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 Hormel Foods price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current Hormel Foods price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 5.1 |
Hormel Foods lagged returns against current returns
Autocorrelation, which is Hormel Foods 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 Hormel Foods' stock expected returns. We can calculate the autocorrelation of Hormel Foods returns to help us make a trade decision. For example, suppose you find that Hormel Foods 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 |
Hormel 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 Hormel Foods stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hormel Foods stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hormel Foods stock over time.
Current vs Lagged Prices |
| Timeline |
Hormel Foods Lagged Returns
When evaluating Hormel Foods' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hormel Foods stock have on its future price. Hormel 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, Hormel Foods autocorrelation shows the relationship between Hormel Foods stock current value and its past values and can show if there is a momentum factor associated with investing in Hormel Foods.
Regressed Prices |
| Timeline |
Hormel Foods Investors Sentiment
The influence of Hormel Foods' investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Hormel. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to Hormel Foods' public news can be used to forecast risks associated with an investment in Hormel. The trend in average sentiment can be used to explain how an investor holding Hormel can time the market purely based on public headlines and social activities around Hormel Foods. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Hormel Foods' market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for Hormel Foods' and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average Hormel Foods' news discussions. The higher the estimated score, the more favorable is the investor's outlook on Hormel Foods.
Hormel Foods Implied Volatility | 101.03 |
Hormel Foods' implied volatility exposes the market's sentiment of Hormel Foods stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Hormel Foods' implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Hormel Foods stock will not fluctuate a lot when Hormel Foods' options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Hormel Foods in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Hormel Foods' short interest history, or implied volatility extrapolated from Hormel Foods options trading.
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Try AI Portfolio ArchitectCheck out Hormel Foods Correlation, Hormel Foods Volatility and Hormel Foods Alpha and Beta module to complement your research on Hormel Foods. For more information on how to buy Hormel Stock please use our How to buy in Hormel Stock guide.You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
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When running Hormel Foods' price analysis, check to measure Hormel 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 Hormel Foods is operating at the current time. Most of Hormel Foods' value examination focuses on studying past and present price action to predict the probability of Hormel Foods' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hormel Foods' price. Additionally, you may evaluate how the addition of Hormel Foods to your portfolios can decrease your overall portfolio volatility.
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Hormel Foods 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.