Deere Company Stock Market Value
| DE Stock | USD 521.62 13.26 2.61% |
| Symbol | Deere |
Is Agricultural & Farm Machinery 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 Deere. If investors know Deere 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 Deere 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 (0.22) | Dividend Share 6.18 | Earnings Share 20.69 | Revenue Per Share 166.577 | Quarterly Revenue Growth (0.16) |
The market value of Deere Company is measured differently than its book value, which is the value of Deere that is recorded on the company's balance sheet. Investors also form their own opinion of Deere's value that differs from its market value or its book value, called intrinsic value, which is Deere'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 Deere's market value can be influenced by many factors that don't directly affect Deere'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 Deere's value and its price as these two are different measures arrived at by different means. Investors typically determine if Deere is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Deere'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.
Deere '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 Deere'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 Deere.
| 04/04/2025 |
| 07/03/2025 |
If you would invest 0.00 in Deere on April 4, 2025 and sell it all today you would earn a total of 0.00 from holding Deere Company or generate 0.0% return on investment in Deere over 90 days. Deere is related to or competes with SunOpta, Hurco Companies, Arhaus, Gap,, Weyco, Fast Retailing, and Eldorado Gold. Deere Company manufactures and distributes various equipment worldwide More
Deere 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 Deere'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 Deere Company upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.72 | |||
| Information Ratio | 0.0019 | |||
| Maximum Drawdown | 11.91 | |||
| Value At Risk | (2.45) | |||
| Potential Upside | 3.55 |
Deere Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Deere's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Deere's standard deviation. In reality, there are many statistical measures that can use Deere historical prices to predict the future Deere's volatility.| Risk Adjusted Performance | 0.0951 | |||
| Jensen Alpha | 0.1111 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | 0.0023 | |||
| Treynor Ratio | (6.00) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Deere'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.
Deere Company Backtested Returns
Deere appears to be very steady, given 3 months investment horizon. Deere Company secures Sharpe Ratio (or Efficiency) of 0.17, which denotes the company had a 0.17 % return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for Deere Company, which you can use to evaluate the volatility of the firm. Please utilize Deere's Semi Deviation of 1.61, mean deviation of 1.42, and Downside Deviation of 1.72 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Deere holds a performance score of 13. The firm shows a Beta (market volatility) of -0.0182, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Deere are expected to decrease at a much lower rate. During the bear market, Deere is likely to outperform the market. Please check Deere's semi deviation, jensen alpha, maximum drawdown, as well as the relationship between the coefficient of variation and sortino ratio , to make a quick decision on whether Deere's price patterns will revert.
Auto-correlation | -0.14 |
Insignificant reverse predictability
Deere Company has insignificant reverse predictability. Overlapping area represents the amount of predictability between Deere time series from 4th of April 2025 to 19th of May 2025 and 19th of May 2025 to 3rd of July 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 Deere Company price movement. The serial correlation of -0.14 indicates that less than 14.0% of current Deere price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.14 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 46.48 |
Deere Company lagged returns against current returns
Autocorrelation, which is Deere 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 Deere's stock expected returns. We can calculate the autocorrelation of Deere returns to help us make a trade decision. For example, suppose you find that Deere 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 |
Deere 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 Deere stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Deere stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Deere stock over time.
Current vs Lagged Prices |
| Timeline |
Deere Lagged Returns
When evaluating Deere's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Deere stock have on its future price. Deere 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, Deere autocorrelation shows the relationship between Deere stock current value and its past values and can show if there is a momentum factor associated with investing in Deere Company.
Regressed Prices |
| Timeline |
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Check out Deere Correlation, Deere Volatility and Deere Alpha and Beta module to complement your research on Deere. You can also try the Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
Deere 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.