KUBOTA P (Germany) Market Value
| KUOA Stock | EUR 57.50 4.50 7.26% |
| Symbol | KUBOTA |
KUBOTA P '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 KUBOTA P'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 KUBOTA P.
| 04/29/2023 |
| 02/17/2025 |
If you would invest 0.00 in KUBOTA P on April 29, 2023 and sell it all today you would earn a total of 0.00 from holding KUBOTA P ADR20 or generate 0.0% return on investment in KUBOTA P over 660 days. KUBOTA P is related to or competes with ASURE SOFTWARE, SMA Solar, AviChina Industry, PKSHA TECHNOLOGY, SCOTT TECHNOLOGY, Check Point, and Materialise. Kubota Corporation manufactures and sells a range of machinery, and other industrial and consumer products in Japan, Nor... More
KUBOTA P 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 KUBOTA P'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 KUBOTA P ADR20 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 7.69 | |||
| Value At Risk | (2.68) | |||
| Potential Upside | 1.85 |
KUBOTA P Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for KUBOTA P's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KUBOTA P's standard deviation. In reality, there are many statistical measures that can use KUBOTA P historical prices to predict the future KUBOTA P's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.06) | |||
| Total Risk Alpha | (0.06) | |||
| Treynor Ratio | (0.11) |
KUBOTA P ADR20 Backtested Returns
KUBOTA P ADR20 retains Efficiency (Sharpe Ratio) of close to zero, which conveys that the firm had a close to zero % return per unit of return volatility over the last 3 months. KUBOTA P exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify KUBOTA P's Mean Deviation of 1.24, standard deviation of 1.85, and Market Risk Adjusted Performance of (0.1) to check out the risk estimate we provide. The company owns a Beta (Systematic Risk) of 0.53, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, KUBOTA P's returns are expected to increase less than the market. However, during the bear market, the loss of holding KUBOTA P is expected to be smaller as well. At this point, KUBOTA P ADR20 has a negative expected return of -0.0125%. Please make sure to verify KUBOTA P's standard deviation, jensen alpha, and the relationship between the coefficient of variation and information ratio , to decide if KUBOTA P ADR20 performance from the past will be repeated at future time.
Auto-correlation | -0.28 |
Weak reverse predictability
KUBOTA P ADR20 has weak reverse predictability. Overlapping area represents the amount of predictability between KUBOTA P time series from 29th of April 2023 to 24th of March 2024 and 24th of March 2024 to 17th of February 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 KUBOTA P ADR20 price movement. The serial correlation of -0.28 indicates that nearly 28.0% of current KUBOTA P price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.28 | |
| Spearman Rank Test | -0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 26.85 |
KUBOTA P ADR20 lagged returns against current returns
Autocorrelation, which is KUBOTA P 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 KUBOTA P's stock expected returns. We can calculate the autocorrelation of KUBOTA P returns to help us make a trade decision. For example, suppose you find that KUBOTA P 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 |
KUBOTA P 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 KUBOTA P stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if KUBOTA P stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in KUBOTA P stock over time.
Current vs Lagged Prices |
| Timeline |
KUBOTA P Lagged Returns
When evaluating KUBOTA P's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of KUBOTA P stock have on its future price. KUBOTA P 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, KUBOTA P autocorrelation shows the relationship between KUBOTA P stock current value and its past values and can show if there is a momentum factor associated with investing in KUBOTA P ADR20.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in KUBOTA Stock
KUBOTA P financial ratios help investors to determine whether KUBOTA Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in KUBOTA with respect to the benefits of owning KUBOTA P security.