Deere (Germany) Market Value
| DCO Stock | EUR 440.80 1.00 0.23% |
| Symbol | Deere |
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.
| 06/05/2024 |
| 12/02/2024 |
If you would invest 0.00 in Deere on June 5, 2024 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 180 days. Deere is related to or competes with Komatsu, CNH Industrial, KUBOTA CORP, AGCO, Hitachi Construction, Terex, and Sany Heavy. 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 | 1.07 | |||
| Information Ratio | 0.1431 | |||
| Maximum Drawdown | 11.23 | |||
| Value At Risk | (1.63) | |||
| Potential Upside | 2.93 |
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 | 0.1749 | |||
| Jensen Alpha | 0.3435 | |||
| Total Risk Alpha | 0.0857 | |||
| Sortino Ratio | 0.2346 | |||
| Treynor Ratio | 1.37 |
Deere Company Backtested Returns
Deere appears to be very steady, given 3 months investment horizon. Deere Company secures Sharpe Ratio (or Efficiency) of 0.21, which denotes the company had a 0.21% return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for Deere Company, which you can use to evaluate the volatility of the firm. Please utilize Deere's Mean Deviation of 1.07, semi deviation of 0.6254, and Downside Deviation of 1.07 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Deere holds a performance score of 16. The firm shows a Beta (market volatility) of 0.28, which means not very significant fluctuations relative to the market. 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. Please check Deere's mean deviation, downside deviation, information ratio, as well as the relationship between the semi deviation and coefficient of variation , to make a quick decision on whether Deere's price patterns will revert.
Auto-correlation | 0.03 |
Virtually no predictability
Deere Company has virtually no predictability. Overlapping area represents the amount of predictability between Deere time series from 5th of June 2024 to 3rd of September 2024 and 3rd of September 2024 to 2nd of December 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 0.03 indicates that only 3.0% of current Deere price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.03 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 605.62 |
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 |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Deere Stock
When determining whether Deere Company is a strong investment it is important to analyze Deere's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Deere's future performance. For an informed investment choice regarding Deere Stock, refer to the following important reports:Check out Deere Correlation, Deere Volatility and Deere Alpha and Beta module to complement your research on Deere. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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.