Hyster-Yale Materials (Germany) Market Value
| HYEA Stock | EUR 50.50 0.50 0.98% |
| Symbol | Hyster-Yale |
Hyster-Yale Materials '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 Hyster-Yale Materials' 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 Hyster-Yale Materials.
| 05/27/2024 |
| 11/23/2024 |
If you would invest 0.00 in Hyster-Yale Materials on May 27, 2024 and sell it all today you would earn a total of 0.00 from holding Hyster Yale Materials Handling or generate 0.0% return on investment in Hyster-Yale Materials over 180 days. Hyster-Yale Materials is related to or competes with KION Group, Sinotruk (Hong, Superior Plus, NMI Holdings, Origin Agritech, and SIVERS SEMICONDUCTORS. Hyster-Yale Materials Handling, Inc., through its subsidiaries, designs, engineers, manufactures, sells, and services a ... More
Hyster-Yale Materials 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 Hyster-Yale Materials' 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 Hyster Yale Materials Handling upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.48 | |||
| Information Ratio | (0.03) | |||
| Maximum Drawdown | 22.02 | |||
| Value At Risk | (3.45) | |||
| Potential Upside | 5.08 |
Hyster-Yale Materials Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hyster-Yale Materials' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hyster-Yale Materials' standard deviation. In reality, there are many statistical measures that can use Hyster-Yale Materials historical prices to predict the future Hyster-Yale Materials' volatility.| Risk Adjusted Performance | 0.0116 | |||
| Jensen Alpha | 0.1337 | |||
| Total Risk Alpha | (0.41) | |||
| Sortino Ratio | (0.03) | |||
| Treynor Ratio | (0.01) |
Hyster Yale Materials Backtested Returns
Hyster Yale Materials holds Efficiency (Sharpe) Ratio of -0.0141, which attests that the entity had a -0.0141% return per unit of risk over the last 3 months. Hyster Yale Materials exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hyster-Yale Materials' Risk Adjusted Performance of 0.0116, downside deviation of 3.48, and Market Risk Adjusted Performance of 0.0049 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of -1.28, which attests to a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Hyster-Yale Materials are expected to decrease by larger amounts. On the other hand, during market turmoil, Hyster-Yale Materials is expected to outperform it. At this point, Hyster Yale Materials has a negative expected return of -0.0436%. Please make sure to check out Hyster-Yale Materials' treynor ratio, value at risk, and the relationship between the sortino ratio and maximum drawdown , to decide if Hyster Yale Materials performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.53 |
Modest predictability
Hyster Yale Materials Handling has modest predictability. Overlapping area represents the amount of predictability between Hyster-Yale Materials time series from 27th of May 2024 to 25th of August 2024 and 25th of August 2024 to 23rd of November 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 Hyster Yale Materials price movement. The serial correlation of 0.53 indicates that about 53.0% of current Hyster-Yale Materials price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.53 | |
| Spearman Rank Test | 0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 15.74 |
Hyster Yale Materials lagged returns against current returns
Autocorrelation, which is Hyster-Yale Materials 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 Hyster-Yale Materials' stock expected returns. We can calculate the autocorrelation of Hyster-Yale Materials returns to help us make a trade decision. For example, suppose you find that Hyster-Yale Materials 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 |
Hyster-Yale Materials 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 Hyster-Yale Materials stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hyster-Yale Materials stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hyster-Yale Materials stock over time.
Current vs Lagged Prices |
| Timeline |
Hyster-Yale Materials Lagged Returns
When evaluating Hyster-Yale Materials' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hyster-Yale Materials stock have on its future price. Hyster-Yale Materials 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, Hyster-Yale Materials autocorrelation shows the relationship between Hyster-Yale Materials stock current value and its past values and can show if there is a momentum factor associated with investing in Hyster Yale Materials Handling.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Hyster-Yale Stock
When determining whether Hyster Yale Materials offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Hyster-Yale Materials' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Hyster Yale Materials Handling Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Hyster Yale Materials Handling Stock:Check out Hyster-Yale Materials Correlation, Hyster-Yale Materials Volatility and Hyster-Yale Materials Alpha and Beta module to complement your research on Hyster-Yale Materials. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Hyster-Yale Materials 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.