Hays Plc (Germany) Market Value
| HAY Stock | EUR 0.94 0.01 1.08% |
| Symbol | Hays |
Hays Plc '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 Hays Plc'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 Hays Plc.
| 12/12/2022 |
| 12/01/2024 |
If you would invest 0.00 in Hays Plc on December 12, 2022 and sell it all today you would earn a total of 0.00 from holding Hays plc or generate 0.0% return on investment in Hays Plc over 720 days. Hays Plc is related to or competes with National Bank, SEI INVESTMENTS, EAT WELL, SLR Investment, PennyMac Mortgage, Gladstone Investment, and JSC Halyk. Hays plc operates as a recruitment company in Australia, New Zealand, Germany, the United Kingdom, Ireland, and internat... More
Hays Plc 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 Hays Plc'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 Hays plc upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 15.7 | |||
| Value At Risk | (5.77) | |||
| Potential Upside | 5.43 |
Hays Plc Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hays Plc's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hays Plc's standard deviation. In reality, there are many statistical measures that can use Hays Plc historical prices to predict the future Hays Plc's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | (0.67) | |||
| Treynor Ratio | (0.13) |
Hays plc Backtested Returns
Hays plc holds Efficiency (Sharpe) Ratio of -0.0448, which attests that the entity had a -0.0448% return per unit of risk over the last 3 months. Hays plc exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Hays Plc's Standard Deviation of 3.04, market risk adjusted performance of (0.12), and Risk Adjusted Performance of (0.03) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 1.25, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Hays Plc will likely underperform. At this point, Hays plc has a negative expected return of -0.14%. Please make sure to check out Hays Plc's skewness and the relationship between the daily balance of power and price action indicator , to decide if Hays plc performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.44 |
Average predictability
Hays plc has average predictability. Overlapping area represents the amount of predictability between Hays Plc time series from 12th of December 2022 to 7th of December 2023 and 7th of December 2023 to 1st 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 Hays plc price movement. The serial correlation of 0.44 indicates that just about 44.0% of current Hays Plc price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.44 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
Hays plc lagged returns against current returns
Autocorrelation, which is Hays Plc 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 Hays Plc's stock expected returns. We can calculate the autocorrelation of Hays Plc returns to help us make a trade decision. For example, suppose you find that Hays Plc 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 |
Hays Plc 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 Hays Plc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Hays Plc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Hays Plc stock over time.
Current vs Lagged Prices |
| Timeline |
Hays Plc Lagged Returns
When evaluating Hays Plc's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Hays Plc stock have on its future price. Hays Plc 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, Hays Plc autocorrelation shows the relationship between Hays Plc stock current value and its past values and can show if there is a momentum factor associated with investing in Hays plc.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Hays Stock
Hays Plc financial ratios help investors to determine whether Hays 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 Hays with respect to the benefits of owning Hays Plc security.