Science Applications International Stock Volatility

SAIC Stock  USD 124.78  1.73  1.41%   
Science Applications owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0071, which indicates the firm had a -0.0071% return per unit of risk over the last 3 months. Science Applications International exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Science Applications' Variance of 5.32, coefficient of variation of (13,991), and Risk Adjusted Performance of 0.0012 to confirm the risk estimate we provide. Key indicators related to Science Applications' volatility include:
90 Days Market Risk
Chance Of Distress
90 Days Economic Sensitivity
Science Applications 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 Science daily returns, and it is calculated using variance and standard deviation. We also use Science's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of Science Applications volatility.
  
Since volatility provides investors with entry points to take advantage of stock prices, companies, such as Science Applications can benefit from it. Downward market volatility can be a perfect environment for investors who play the long game as hey may decide to buy additional stocks of Science Applications at lower prices to lower their average cost per share. Similarly, when the prices of Science Applications' stock rise, investors can sell out and invest the proceeds in other equities with better opportunities.

Moving against Science Stock

  0.39III Information ServicesPairCorr
  0.32EPAM EPAM SystemsPairCorr

Science Applications Market Sensitivity And Downside Risk

Science Applications' beta coefficient measures the volatility of Science 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 Science stock's returns against your selected market. In other words, Science Applications's beta of 0.0705 provides an investor with an approximation of how much risk Science Applications stock can potentially add to one of your existing portfolios. Science Applications International exhibits very low volatility with skewness of -4.33 and kurtosis of 28.01. Understanding different market volatility trends often help investors to time the market. Properly using volatility indicators enable traders to measure Science Applications' stock risk against market volatility during both bullish and bearish trends. The higher level of volatility that comes with bear markets can directly impact Science Applications' 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 Science Applications Demand Trend
Check current 90 days Science Applications correlation with market (Dow Jones Industrial)

Science Beta

    
  0.0705  
Science 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

    
  2.31  
It is essential to understand the difference between upside risk (as represented by Science Applications's standard deviation) and the downside risk, which can be measured by semi-deviation or downside deviation of Science Applications' daily returns or price. Since the actual investment returns on holding a position in science 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 Science Applications.

Science Applications Stock Volatility Analysis

Volatility refers to the frequency at which Science Applications stock price increases or decreases within a specified period. These fluctuations usually indicate the level of risk that's associated with Science Applications' price changes. Investors will then calculate the volatility of Science Applications' 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 Science Applications' volatility:

Historical Volatility

This type of stock volatility measures Science Applications' fluctuations based on previous trends. It's commonly used to predict Science Applications' 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 Science Applications' 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 Science Applications' 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. Science Applications 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.

Science Applications Projected Return Density Against Market

Given the investment horizon of 90 days Science Applications has a beta of 0.0705 . This usually implies as returns on the market go up, Science Applications average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Science Applications International will be expected to be much smaller as well.
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 Science Applications or IT Services 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 Science Applications' 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 Science 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.
Science Applications International 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  
Science Applications' volatility is measured either by using standard deviation or beta. Standard deviation will reflect the average amount of how science 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 Science Applications 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.

Science Applications Stock Risk Measures

Given the investment horizon of 90 days the coefficient of variation of Science Applications is -13990.75. The daily returns are distributed with a variance of 5.32 and standard deviation of 2.31. The mean deviation of Science Applications International is currently at 1.21. For similar time horizon, the selected benchmark (Dow Jones Industrial) has volatility of 0.76
α
Alpha over Dow Jones
-0.03
β
Beta against Dow Jones0.07
σ
Overall volatility
2.31
Ir
Information ratio -0.05

Science Applications Stock Return Volatility

Science Applications historical daily return volatility represents how much of Science Applications stock's daily returns swing around its mean - it is a statistical measure of its dispersion of returns. The firm inherits 2.3056% risk (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 Science Applications Volatility

Volatility is a rate at which the price of Science Applications 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 Science Applications may increase or decrease. In other words, similar to Science's beta indicator, it measures the risk of Science Applications and helps estimate the fluctuations that may happen in a short period of time. So if prices of Science Applications 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.
Science Applications International Corporation provides technical, engineering, and enterprise information technology services primarily in the United States. Science Applications International Corporation was founded in 1969 and is headquartered in Reston, Virginia. Science Applications operates under Information Technology Services classification in the United States and is traded on New York Stock Exchange. It employs 26000 people.
Science Applications' stock volatility refers to the amount of uncertainty or risk involved with the size of changes in its stock's price. It is a statistical measure of the dispersion of returns on Science Stock over a specified period of time, often expressed as the standard deviation of daily returns. In other words, it measures how much Science Applications' price varies over time.

3 ways to utilize Science Applications' volatility to invest better

Higher Science Applications' stock volatility means that the price of its stock is changing rapidly and unpredictably, while lower stock volatility indicates that the price of Science Applications 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. Science Applications 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 Science Applications investment. A higher volatility means higher risk and potentially larger changes in value.
  • Identifying Opportunities: High volatility in Science Applications' 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 Science Applications' 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.

Science Applications Investment Opportunity

Science Applications International has a volatility of 2.31 and is 3.04 times more volatile than Dow Jones Industrial. 20 percent of all equities and portfolios are less risky than Science Applications. You can use Science Applications International to enhance the returns of your portfolios. The stock experiences a large bullish trend. Check odds of Science Applications to be traded at $137.26 in 90 days.

Significant diversification

The correlation between Science Applications Internati and DJI is 0.02 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Science Applications Internati and DJI in the same portfolio, assuming nothing else is changed.

Science Applications Additional Risk Indicators

The analysis of Science Applications' 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 Science Applications' investment and either accepting that risk or mitigating it. Along with some common measures of Science Applications 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.

Science Applications 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 Science Applications 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. Science Applications' 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, Science Applications' 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 Science Applications International.

Complementary Tools for Science Stock analysis

When running Science Applications' price analysis, check to measure Science Applications' 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 Science Applications is operating at the current time. Most of Science Applications' value examination focuses on studying past and present price action to predict the probability of Science Applications' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Science Applications' price. Additionally, you may evaluate how the addition of Science Applications to your portfolios can decrease your overall portfolio volatility.
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Performance Analysis
Check effects of mean-variance optimization against your current asset allocation
Price Exposure Probability
Analyze equity upside and downside potential for a given time horizon across multiple markets
Volatility Analysis
Get historical volatility and risk analysis based on latest market data
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Technical Analysis
Check basic technical indicators and analysis based on most latest market data
Crypto Correlations
Use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins
Watchlist Optimization
Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm
Competition Analyzer
Analyze and compare many basic indicators for a group of related or unrelated entities