THERMO FISHER SCIENTIFIC Market Value
883556BG6 | 101.32 1.38 1.38% |
Symbol | THERMO |
THERMO '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's bond 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.
11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in THERMO on November 1, 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 over 30 days. THERMO is related to or competes with Fomento Economico, Ambev SA, Keurig Dr, Black Hills, SNDL, Compania Cervecerias, and Comstock Holding. More
THERMO 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's bond 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.
Downside Deviation | 1.43 | |||
Information Ratio | (0.07) | |||
Maximum Drawdown | 9.65 | |||
Value At Risk | (2.31) | |||
Potential Upside | 2.18 |
THERMO Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for THERMO's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as THERMO's standard deviation. In reality, there are many statistical measures that can use THERMO historical prices to predict the future THERMO's volatility.Risk Adjusted Performance | 0.0153 | |||
Jensen Alpha | 0.0018 | |||
Total Risk Alpha | (0.27) | |||
Sortino Ratio | (0.08) | |||
Treynor Ratio | 0.1509 |
THERMO FISHER SCIENTIFIC Backtested Returns
THERMO FISHER SCIENTIFIC owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0148, which indicates the bond had a -0.0148% return per unit of volatility over the last 3 months. THERMO FISHER SCIENTIFIC exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate THERMO's risk adjusted performance of 0.0153, and Coefficient Of Variation of 7716.1 to confirm the risk estimate we provide. The entity has a beta of 0.0774, which indicates not very significant fluctuations relative to the market. As returns on the market increase, THERMO's returns are expected to increase less than the market. However, during the bear market, the loss of holding THERMO is expected to be smaller as well.
Auto-correlation | -0.78 |
Almost perfect reverse predictability
THERMO FISHER SCIENTIFIC has almost perfect reverse predictability. Overlapping area represents the amount of predictability between THERMO time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 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 THERMO FISHER SCIENTIFIC price movement. The serial correlation of -0.78 indicates that around 78.0% of current THERMO price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.78 | |
Spearman Rank Test | -0.52 | |
Residual Average | 0.0 | |
Price Variance | 4.04 |
THERMO FISHER SCIENTIFIC lagged returns against current returns
Autocorrelation, which is THERMO bond'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's bond expected returns. We can calculate the autocorrelation of THERMO returns to help us make a trade decision. For example, suppose you find that THERMO has exhibited high autocorrelation historically, and you observe that the bond 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 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 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if THERMO bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in THERMO bond over time.
Current vs Lagged Prices |
Timeline |
THERMO Lagged Returns
When evaluating THERMO's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of THERMO bond have on its future price. THERMO 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 autocorrelation shows the relationship between THERMO bond 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 |
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.Other Information on Investing in THERMO Bond
THERMO financial ratios help investors to determine whether THERMO Bond 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 THERMO with respect to the benefits of owning THERMO security.