Fresenius Medical (Brazil) Market Value
FMSC34 Stock | BRL 136.89 0.00 0.00% |
Symbol | Fresenius |
Please note, there is a significant difference between Fresenius Medical's value and its price as these two are different measures arrived at by different means. Investors typically determine if Fresenius Medical is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Fresenius Medical's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Fresenius Medical '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 Fresenius Medical'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 Fresenius Medical.
12/24/2024 |
| 01/23/2025 |
If you would invest 0.00 in Fresenius Medical on December 24, 2024 and sell it all today you would earn a total of 0.00 from holding Fresenius Medical Care or generate 0.0% return on investment in Fresenius Medical over 30 days. Fresenius Medical is related to or competes with Tyson Foods, Telecomunicaes Brasileiras, Beyond Meat, and Unifique Telecomunicaes. More
Fresenius Medical 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 Fresenius Medical'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 Fresenius Medical Care upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | 0.0943 | |||
Maximum Drawdown | 25.07 |
Fresenius Medical Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Fresenius Medical's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Fresenius Medical's standard deviation. In reality, there are many statistical measures that can use Fresenius Medical historical prices to predict the future Fresenius Medical's volatility.Risk Adjusted Performance | 0.0964 | |||
Jensen Alpha | 0.3244 | |||
Total Risk Alpha | 0.2258 | |||
Treynor Ratio | (1.61) |
Fresenius Medical Care Backtested Returns
Fresenius Medical appears to be very steady, given 3 months investment horizon. Fresenius Medical Care secures Sharpe Ratio (or Efficiency) of 0.11, which denotes the company had a 0.11 % return per unit of risk over the last 3 months. We have found seventeen technical indicators for Fresenius Medical Care, which you can use to evaluate the volatility of the firm. Please utilize Fresenius Medical's Standard Deviation of 3.12, variance of 9.73, and Mean Deviation of 0.7497 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Fresenius Medical holds a performance score of 8. The firm shows a Beta (market volatility) of -0.2, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Fresenius Medical are expected to decrease at a much lower rate. During the bear market, Fresenius Medical is likely to outperform the market. Please check Fresenius Medical's variance, jensen alpha, and the relationship between the standard deviation and information ratio , to make a quick decision on whether Fresenius Medical's price patterns will revert.
Auto-correlation | -92,233,720,368,547,760 |
Near perfect reversele predictability
Fresenius Medical Care has near perfect reversele predictability. Overlapping area represents the amount of predictability between Fresenius Medical time series from 24th of December 2024 to 8th of January 2025 and 8th of January 2025 to 23rd of January 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 Fresenius Medical Care price movement. The serial correlation of -9.223372036854776E16 indicates that 9.223372036854776E16% of current Fresenius Medical price fluctuation can be explain by its past prices.
Correlation Coefficient | -92233.7 T | |
Spearman Rank Test | 1.0 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
Fresenius Medical Care lagged returns against current returns
Autocorrelation, which is Fresenius Medical 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 Fresenius Medical's stock expected returns. We can calculate the autocorrelation of Fresenius Medical returns to help us make a trade decision. For example, suppose you find that Fresenius Medical 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 |
Fresenius Medical 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 Fresenius Medical stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Fresenius Medical stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Fresenius Medical stock over time.
Current vs Lagged Prices |
Timeline |
Fresenius Medical Lagged Returns
When evaluating Fresenius Medical's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Fresenius Medical stock have on its future price. Fresenius Medical 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, Fresenius Medical autocorrelation shows the relationship between Fresenius Medical stock current value and its past values and can show if there is a momentum factor associated with investing in Fresenius Medical Care.
Regressed Prices |
Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Information and Resources on Investing in Fresenius Stock
When determining whether Fresenius Medical Care is a strong investment it is important to analyze Fresenius Medical'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 Fresenius Medical's future performance. For an informed investment choice regarding Fresenius Stock, refer to the following important reports:Check out Fresenius Medical Correlation, Fresenius Medical Volatility and Fresenius Medical Alpha and Beta module to complement your research on Fresenius Medical. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Fresenius Medical 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.