Deere Company Stock Market Value
| DE Stock | USD 399.61 0.71 0.18% |
| Symbol | Deere |
Deere Company Price To Book Ratio
Is Deere's 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 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 (0.05) | Dividend Share 5.32 | Earnings Share 34.33 | Revenue Per Share 211.12 | Quarterly Revenue Growth (0.04) |
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.
| 05/04/2022 |
| 04/23/2024 |
If you would invest 0.00 in Deere on May 4, 2022 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 720 days. Deere is related to or competes with Shyft, Manitowoc, Oshkosh, Terex, Alamo, Hyster Yale, and Columbus McKinnon. 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 | 1.51 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 7.35 | |||
| Value At Risk | (1.67) | |||
| Potential Upside | 2.12 |
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 | 0.0459 | |||
| Jensen Alpha | 0.0142 | |||
| Total Risk Alpha | (0.09) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.098 |
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
We consider Deere very steady. Deere Company secures Sharpe Ratio (or Efficiency) of 0.046, which denotes the company had a 0.046% return per unit of standard deviation over the last 3 months. We have found twenty-nine technical indicators for Deere Company, which you can use to evaluate the volatility of the firm. Please confirm Deere's Downside Deviation of 1.51, mean deviation of 0.8447, and Semi Deviation of 1.4 to check if the risk estimate we provide is consistent with the expected return of 0.0604%. Deere has a performance score of 3 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.76, which means possible diversification benefits within a given portfolio. As returns on the market increase, Deere's returns are expected to increase less than the market. However, during the bear market, the loss of holding Deere is expected to be smaller as well. Deere Company right now shows a risk of 1.31%. Please confirm Deere Company jensen alpha, maximum drawdown, and the relationship between the coefficient of variation and sortino ratio , to decide if Deere Company will be following its price patterns.
Auto-correlation | -0.4 |
Poor reverse predictability
Deere Company has poor reverse predictability. Overlapping area represents the amount of predictability between Deere time series from 4th of May 2022 to 29th of April 2023 and 29th of April 2023 to 23rd 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 Deere Company price movement. The serial correlation of -0.4 indicates that just about 40.0% of current Deere price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.4 | |
| Spearman Rank Test | 0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 427.06 |
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 |
Pair Trading with Deere
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Deere position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Deere will appreciate offsetting losses from the drop in the long position's value.Moving against Deere Stock
| 0.47 | IDEX | Ideanomics | PairCorr |
The ability to find closely correlated positions to Deere could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Deere when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Deere - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Deere Company to buy it.
The correlation of Deere is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Deere moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Deere Company moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Deere can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Deere Correlation, Deere Volatility and Deere Alpha and Beta module to complement your research on Deere. Note that the Deere Company information on this page should be used as a complementary analysis to other Deere's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
Complementary Tools for Deere Stock analysis
When running Deere's price analysis, check to measure Deere's 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 Deere is operating at the current time. Most of Deere's value examination focuses on studying past and present price action to predict the probability of Deere's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Deere's price. Additionally, you may evaluate how the addition of Deere to your portfolios can decrease your overall portfolio volatility.
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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.