Thermo Fisher (Mexico) Market Value
| TMO Stock | MXN 10,610 95.15 0.90% |
| Symbol | Thermo |
Thermo Fisher '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 Thermo Fisher'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 Thermo Fisher.
| 11/24/2024 |
| 12/24/2024 |
If you would invest 0.00 in Thermo Fisher on November 24, 2024 and sell it all today you would earn a total of 0.00 from holding Thermo Fisher Scientific or generate 0.0% return on investment in Thermo Fisher over 30 days. Thermo Fisher is related to or competes with McEwen Mining, Verizon Communications, Taiwan Semiconductor, Micron Technology, Genworth Financial, and Martin Marietta. Thermo Fisher Scientific Inc. provides analytical and other instruments, laboratory equipment, software, consumables, re... More
Thermo Fisher 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 Thermo Fisher'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 Thermo Fisher Scientific upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 6.12 | |||
| Value At Risk | (2.78) | |||
| Potential Upside | 1.93 |
Thermo Fisher Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Thermo Fisher's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Thermo Fisher's standard deviation. In reality, there are many statistical measures that can use Thermo Fisher historical prices to predict the future Thermo Fisher's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.16) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | 1.79 |
Thermo Fisher Scientific Backtested Returns
Thermo Fisher Scientific owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.12, which indicates the firm had a -0.12% return per unit of risk over the last 3 months. Thermo Fisher Scientific exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Thermo Fisher's Variance of 1.71, risk adjusted performance of (0.09), and Coefficient Of Variation of (859.13) to confirm the risk estimate we provide. The entity has a beta of -0.0905, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Thermo Fisher are expected to decrease at a much lower rate. During the bear market, Thermo Fisher is likely to outperform the market. At this point, Thermo Fisher Scientific has a negative expected return of -0.17%. Please make sure to validate Thermo Fisher's information ratio, kurtosis, period momentum indicator, as well as the relationship between the treynor ratio and day median price , to decide if Thermo Fisher Scientific performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.34 |
Poor reverse predictability
Thermo Fisher Scientific has poor reverse predictability. Overlapping area represents the amount of predictability between Thermo Fisher time series from 24th of November 2024 to 9th of December 2024 and 9th of December 2024 to 24th 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 Thermo Fisher Scientific price movement. The serial correlation of -0.34 indicates that nearly 34.0% of current Thermo Fisher price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.34 | |
| Spearman Rank Test | -0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 17 K |
Thermo Fisher Scientific lagged returns against current returns
Autocorrelation, which is Thermo Fisher 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 Thermo Fisher's stock expected returns. We can calculate the autocorrelation of Thermo Fisher returns to help us make a trade decision. For example, suppose you find that Thermo Fisher 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 |
Thermo Fisher 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 Thermo Fisher stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Thermo Fisher stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Thermo Fisher stock over time.
Current vs Lagged Prices |
| Timeline |
Thermo Fisher Lagged Returns
When evaluating Thermo Fisher's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Thermo Fisher stock have on its future price. Thermo Fisher 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, Thermo Fisher autocorrelation shows the relationship between Thermo Fisher stock current value and its past values and can show if there is a momentum factor associated with investing in Thermo Fisher Scientific.
Regressed Prices |
| Timeline |
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When running Thermo Fisher's price analysis, check to measure Thermo Fisher's 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 Thermo Fisher is operating at the current time. Most of Thermo Fisher's value examination focuses on studying past and present price action to predict the probability of Thermo Fisher's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Thermo Fisher's price. Additionally, you may evaluate how the addition of Thermo Fisher to your portfolios can decrease your overall portfolio volatility.