THERMO FISHER (Germany) Volatility

TN8 Stock   491.05  5.75  1.18%   
THERMO FISHER SCIEN owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.12, which indicates the firm had a -0.12% return per unit of volatility over the last 3 months. THERMO FISHER SCIEN exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate THERMO FISHER's variance of 1.42, and Risk Adjusted Performance of (0.09) to confirm the risk estimate we provide. Key indicators related to THERMO FISHER's volatility include:
90 Days Market Risk
Chance Of Distress
90 Days Economic Sensitivity
THERMO FISHER Stock volatility depicts how high the prices fluctuate around the mean (or its average) price. In other words, it is a statistical measure of the distribution of THERMO daily returns, and it is calculated using variance and standard deviation. We also use THERMO's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of THERMO FISHER volatility.
  
Since volatility provides investors with entry points to take advantage of stock prices, companies, such as THERMO FISHER can benefit from it. Downward market volatility can be a perfect environment for investors who play the long game. Here, they may decide to buy additional stocks of THERMO FISHER at lower prices. For example, an investor can purchase THERMO stock that has halved in price over a short period. This will lower your average cost per share, thereby improving your portfolio's performance when the markets normalize. Similarly, when the prices of THERMO FISHER's stock rises, investors can sell out and invest the proceeds in other equities with better opportunities. Investing when markets are volatile with better valuations will accord both investors and companies the opportunity to generate better long-term returns.

Moving against THERMO Stock

  0.59APC Apple IncPairCorr
  0.59APC Apple IncPairCorr
  0.56APC Apple IncPairCorr
  0.56MSF MicrosoftPairCorr

THERMO FISHER Market Sensitivity And Downside Risk

THERMO FISHER's beta coefficient measures the volatility of THERMO stock compared to the systematic risk of the entire market represented by your selected benchmark. In mathematical terms, beta represents the slope of the line through a regression of data points where each of these points represents THERMO stock's returns against your selected market. In other words, THERMO FISHER's beta of -0.1 provides an investor with an approximation of how much risk THERMO FISHER stock can potentially add to one of your existing portfolios. THERMO FISHER SCIEN exhibits very low volatility with skewness of -0.26 and kurtosis of 0.41. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure THERMO FISHER's stock risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact THERMO FISHER's stock price while adding stress to investors as they watch their shares' value plummet. This usually forces investors to rebalance their portfolios by buying different financial instruments as prices fall.
3 Months Beta |Analyze THERMO FISHER SCIEN Demand Trend
Check current 90 days THERMO FISHER correlation with market (Dow Jones Industrial)

THERMO Beta

    
  -0.1  
THERMO standard deviation measures the daily dispersion of prices over your selected time horizon relative to its mean. A typical volatile entity has a high standard deviation, while the deviation of a stable instrument is usually low. As a downside, the standard deviation calculates all uncertainty as risk, even when it is in your favor, such as above-average returns.

Standard Deviation

    
  1.19  
It is essential to understand the difference between upside risk (as represented by THERMO FISHER's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of THERMO FISHER's daily returns or price. Since the actual investment returns on holding a position in thermo stock tend to have a non-normal distribution, there will be different probabilities for losses than for gains. The likelihood of losses is reflected in the downside risk of an investment in THERMO FISHER.

THERMO FISHER SCIEN Stock Volatility Analysis

Volatility refers to the frequency at which THERMO FISHER stock price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with THERMO FISHER's price changes. Investors will then calculate the volatility of THERMO FISHER's stock to predict their future moves. A stock that has erratic price changes quickly hits new highs, and lows are considered highly volatile. A stock with relatively stable price changes has low volatility. A highly volatile stock is riskier, but the risk cuts both ways. Investing in highly volatile security can either be highly successful, or you may experience significant failure. There are two main types of THERMO FISHER's volatility:

Historical Volatility

This type of stock volatility measures THERMO FISHER's fluctuations based on previous trends. It's commonly used to predict THERMO FISHER's future behavior based on its past. However, it cannot conclusively determine the future direction of the stock.

Implied Volatility

This type of volatility provides a positive outlook on future price fluctuations for THERMO FISHER's current market price. This means that the stock will return to its initially predicted market price. This type of volatility can be derived from derivative instruments written on THERMO FISHER's to be redeemed at a future date.
Transformation
The output start index for this execution was zero with a total number of output elements of sixty-one. THERMO FISHER SCIEN Average Price is the average of the sum of open, high, low and close daily prices of a bar. It can be used to smooth an indicator that normally takes just the closing price as input.

THERMO FISHER Projected Return Density Against Market

Assuming the 90 days trading horizon THERMO FISHER SCIEN has a beta of -0.101 . This usually implies as returns on the benchmark increase, returns on holding THERMO FISHER are expected to decrease at a much lower rate. During a bear market, however, THERMO FISHER SCIEN is likely to outperform the market.
Most traded equities are subject to two types of risk - systematic (i.e., market) and unsystematic (i.e., nonmarket or company-specific) risk. Unsystematic risk is the risk that events specific to THERMO FISHER or Other sector will adversely affect the stock's price. This type of risk can be diversified away by owning several different stocks in different industries whose stock prices have shown a small correlation to each other. On the other hand, systematic risk is the risk that THERMO FISHER's price will be affected by overall stock market movements and cannot be diversified away. So, no matter how many positions you have, you cannot eliminate market risk. However, you can measure a THERMO stock's historical response to market movements and buy it if you are comfortable with its volatility direction. Beta and standard deviation are two commonly used measures to help you make the right decision.
THERMO FISHER SCIEN has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   Predicted Return Density   
       Returns  
THERMO FISHER's volatility is measured either by using standard deviation or beta. Standard deviation will reflect the average amount of how thermo stock's price will differ from the mean after some time.To get its calculation, you should first determine the mean price during the specified period then subtract that from each price point.

What Drives a THERMO FISHER Price Volatility?

Several factors can influence a stock's market volatility:

Industry

Specific events can influence volatility within a particular industry. For instance, a significant weather upheaval in a crucial oil-production site may cause oil prices to increase in the oil sector. The direct result will be the rise in the stock price of oil distribution companies. Similarly, any government regulation in a specific industry could negatively influence stock prices due to increased regulations on compliance that may impact the company's future earnings and growth.

Political and Economic environment

When governments make significant decisions regarding trade agreements, policies, and legislation regarding specific industries, they will influence stock prices. Everything from speeches to elections may influence investors, who can directly influence the stock prices in any particular industry. The prevailing economic situation also plays a significant role in stock prices. When the economy is doing well, investors will have a positive reaction and hence, better stock prices and vice versa.

The Company's Performance

Sometimes volatility will only affect an individual company. For example, a revolutionary product launch or strong earnings report may attract many investors to purchase the company. This positive attention will raise the company's stock price. In contrast, product recalls and data breaches may negatively influence a company's stock prices.

THERMO FISHER Stock Risk Measures

Assuming the 90 days trading horizon the coefficient of variation of THERMO FISHER is -821.85. The daily returns are distributed with a variance of 1.42 and standard deviation of 1.19. The mean deviation of THERMO FISHER SCIEN is currently at 0.92. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.76
α
Alpha over Dow Jones
-0.14
β
Beta against Dow Jones-0.1
σ
Overall volatility
1.19
Ir
Information ratio -0.21

THERMO FISHER Stock Return Volatility

THERMO FISHER historical daily return volatility represents how much of THERMO FISHER stock's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The firm accepts 1.1903% volatility on return distribution over the 90 days horizon. By contrast, Dow Jones Industrial accepts 0.7608% volatility on return distribution over the 90 days horizon.
 Performance 
       Timeline  

About THERMO FISHER Volatility

Volatility is a rate at which the price of THERMO FISHER or any other equity instrument increases or decreases for a given set of returns. It is measured by calculating the standard deviation of the annualized returns over a given period of time and shows the range to which the price of THERMO FISHER may increase or decrease. In other words, similar to THERMO's beta indicator, it measures the risk of THERMO FISHER and helps estimate the fluctuations that may happen in a short period of time. So if prices of THERMO FISHER fluctuate rapidly in a short time span, it is termed to have high volatility, and if it swings slowly in a more extended period, it is understood to have low volatility.
Please read more on our technical analysis page.

3 ways to utilize THERMO FISHER's volatility to invest better

Higher THERMO FISHER's stock volatility means that the price of its stock is changing rapidly and unpredictably, while lower stock volatility indicates that the price of THERMO FISHER SCIEN stock is relatively stable. Investors and traders use stock volatility as an indicator of risk and potential reward, as stocks with higher volatility can offer the potential for more significant returns but also come with a greater risk of losses. THERMO FISHER SCIEN stock volatility can provide helpful information for making investment decisions in the following ways:
  • Measuring Risk: Volatility can be used as a measure of risk, which can help you determine the potential fluctuations in the value of THERMO FISHER SCIEN investment. A higher volatility means higher risk and potentially larger changes in value.
  • Identifying Opportunities: High volatility in THERMO FISHER's stock can indicate that there is potential for significant price movements, either up or down, which could present investment opportunities.
  • Diversification: Understanding how the volatility of THERMO FISHER's stock relates to your other investments can help you create a well-diversified portfolio of assets with varying levels of risk.
Remember it's essential to remember that stock volatility is just one of many factors to consider when making investment decisions, and it should be used in conjunction with other fundamental and technical analysis tools.

THERMO FISHER Investment Opportunity

THERMO FISHER SCIEN has a volatility of 1.19 and is 1.57 times more volatile than Dow Jones Industrial. 10 percent of all equities and portfolios are less risky than THERMO FISHER. You can use THERMO FISHER SCIEN to enhance the returns of your portfolios. The stock experiences a large bullish trend. Check odds of THERMO FISHER to be traded at 540.16 in 90 days.

Good diversification

The correlation between THERMO FISHER SCIEN and DJI is -0.06 (i.e., Good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding THERMO FISHER SCIEN and DJI in the same portfolio, assuming nothing else is changed.

THERMO FISHER Additional Risk Indicators

The analysis of THERMO FISHER's secondary risk indicators is one of the essential steps in making a buy or sell decision. The process involves identifying the amount of risk involved in THERMO FISHER's investment and either accepting that risk or mitigating it. Along with some common measures of THERMO FISHER stock's risk such as standard deviation, beta, or value at risk, we also provide a set of secondary indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stocks, we recommend comparing similar stocks with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

THERMO FISHER Suggested Diversification Pairs

Pair trading is one of the very effective strategies used by professional day traders and hedge funds capitalizing on short-time and mid-term market inefficiencies. The approach is based on the fact that the ratio of prices of two correlating shares is long-term stable and oscillates around the average value. If the correlation ratio comes outside the common area, you can speculate with a high success rate that the ratio will return to the mean value and collect a profit.
The effect of pair diversification on risk is to reduce it, but we should note this doesn't apply to all risk types. When we trade pairs against THERMO FISHER as a counterpart, there is always some inherent risk that will never be diversified away no matter what. This volatility limits the effect of tactical diversification using pair trading. THERMO FISHER's systematic risk is the inherent uncertainty of the entire market, and therefore cannot be mitigated even by pair-trading it against the equity that is not highly correlated to it. On the other hand, THERMO FISHER's unsystematic risk describes the types of risk that we can protect against, at least to some degree, by selecting a matching pair that is not perfectly correlated to THERMO FISHER SCIEN.

Additional Tools for THERMO Stock Analysis

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.