HMS Networks (Sweden) Market Value
| HMS Stock | SEK 385.40 1.20 0.31% |
| Symbol | HMS |
HMS Networks '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 HMS Networks' 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 HMS Networks.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in HMS Networks on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding HMS Networks AB or generate 0.0% return on investment in HMS Networks over 30 days. HMS Networks is related to or competes with Goodbye Kansas, SaltX Technology, and Oncopeptides. HMS Networks AB provides industrial communication and industrial Internet of Things solutions under the Anybus, IXXAT, e... More
HMS Networks 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 HMS Networks' 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 HMS Networks AB upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 9.03 | |||
| Value At Risk | (3.75) | |||
| Potential Upside | 3.22 |
HMS Networks Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for HMS Networks' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as HMS Networks' standard deviation. In reality, there are many statistical measures that can use HMS Networks historical prices to predict the future HMS Networks' volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.20) | |||
| Total Risk Alpha | (0.47) | |||
| Treynor Ratio | (0.40) |
HMS Networks AB Backtested Returns
HMS Networks AB holds Efficiency (Sharpe) Ratio of -0.0827, which attests that the entity had a -0.0827% return per unit of volatility over the last 3 months. HMS Networks AB exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out HMS Networks' market risk adjusted performance of (0.39), and Risk Adjusted Performance of (0.05) to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.39, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, HMS Networks' returns are expected to increase less than the market. However, during the bear market, the loss of holding HMS Networks is expected to be smaller as well. At this point, HMS Networks AB has a negative expected return of -0.17%. Please make sure to check out HMS Networks' skewness, as well as the relationship between the rate of daily change and price action indicator , to decide if HMS Networks AB performance from the past will be repeated at future time.
Auto-correlation | 0.32 |
Below average predictability
HMS Networks AB has below average predictability. Overlapping area represents the amount of predictability between HMS Networks time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th 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 HMS Networks AB price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current HMS Networks price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | -0.28 | |
| Residual Average | 0.0 | |
| Price Variance | 56.66 |
HMS Networks AB lagged returns against current returns
Autocorrelation, which is HMS Networks 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 HMS Networks' stock expected returns. We can calculate the autocorrelation of HMS Networks returns to help us make a trade decision. For example, suppose you find that HMS Networks 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 |
HMS Networks 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 HMS Networks stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if HMS Networks stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in HMS Networks stock over time.
Current vs Lagged Prices |
| Timeline |
HMS Networks Lagged Returns
When evaluating HMS Networks' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of HMS Networks stock have on its future price. HMS Networks 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, HMS Networks autocorrelation shows the relationship between HMS Networks stock current value and its past values and can show if there is a momentum factor associated with investing in HMS Networks AB.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for HMS Stock Analysis
When running HMS Networks' price analysis, check to measure HMS Networks' 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 HMS Networks is operating at the current time. Most of HMS Networks' value examination focuses on studying past and present price action to predict the probability of HMS Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move HMS Networks' price. Additionally, you may evaluate how the addition of HMS Networks to your portfolios can decrease your overall portfolio volatility.