# U F Stock Volatility

UFPT | - USA Stock | ## USD 60.05 0.44 0.73% |

U F appears to be very steady, given 3 months investment horizon. U F P owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.16, which indicates the company had 0.16% of return per unit of volatility over the last 3 months. Our approach to measuring the volatility of a stock is to use all available market data together with stock-specific technical indicators that cannot be diversified away. We have found twenty-eight technical indicators for U F P, which you can use to evaluate the future volatility of the entity. Please review U F's Downside Deviation of 1.5, market risk adjusted performance of 0.2908, and Risk Adjusted Performance of 0.1191 to confirm if our risk estimates are consistent with your expectations.

U F 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 U F daily returns, and it is calculated using variance and standard deviation. We also use U F's beta, its sensitivity to the market, as well as its odds of financial distress to provide a more practical estimation of U F volatility.

### 90 Days Market Risk

### Chance of Distress

### 90 Days Economic Sensitivity

## U F Market Sensitivity And Downside Risk

U F's beta coefficient measures the volatility of U F stock compared to the systematic risk of the entire stock 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 U F stock's returns against your selected market. In other words, U F's beta of 0.97 provides an investor with an approximation of how much risk U F stock can potentially add to one of your existing portfolios.

Let's try to break down what U F's beta means in this case. U F returns are very sensitive to returns on the market. As the market goes up or down, U F is expected to follow. 3 Months Beta |Analyze U F P Demand TrendCheck current 90 days U F correlation with market (DOW)## U F Beta |

## Standard Deviation | 1.88 |

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

## U F P Stock Volatility Analysis

Transformation |

The output start index for this execution was zero with a total number of output elements of sixty-one. U F P 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. View also all equity analysis or get more info about average price price transform indicator.

## U F Projected Return Density Against Market

Given the investment horizon of 90 days U F has a beta of 0.9735 . This usually implies U F P market returns are related to returns on the market. As the market goes up or down, U F is expected to follow.

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 U F or Consumer Cyclical 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 U F stock'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 U F 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.

The company has an alpha of 0.2371, implying that it can generate a 0.24 percent excess return over DOW after adjusting for the inherited market risk (beta). Predicted Return Density |

Returns |

## U F Stock Risk Measures

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 U F or Consumer Cyclical 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 U F stock'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 U F 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.

Given the investment horizon of 90 days the coefficient of variation of U F is 631.58. The daily returns are distributed with a variance of 3.52 and standard deviation of 1.88. The mean deviation of U F P is currently at 1.3. For similar time horizon, the selected benchmark (DOW) has volatility of 0.73α | Alpha over DOW | 0.24 | |

β | Beta against DOW | 0.97 | |

σ | Overall volatility | 1.88 | |

Ir | Information ratio | 0.13 |

## U F Stock Return Volatility

U F historical daily return volatility represents how much U F stock's price daily returns swing around its mean daily price change - it is a statistical measure of its dispersion of returns. The firm inherits 1.8762% risk (volatility on return distribution) over the 90 days horizon. By contrast, DOW inherits 0.749% risk (volatility on return distribution) over the 90 days horizon.

Performance (%) |

Timeline |

## About U F Volatility

Volatility is a rate at which the price of U F 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 U F may increase or decrease. In other words, similar to U F's beta indicator, it measures the risk of U F and helps estimate the fluctuations that may happen in a short period of time. So if prices of U F 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.Last Reported | Projected for 2021 | |

Market Capitalization | 153 M | 165.1 M |

## U F Investment Opportunity

U F P has a volatility of 1.88 and is 2.51 times more volatile than DOW.

**16**of all equities and portfolios are less risky than U F. Compared to the overall equity markets, volatility of historical daily returns of U F P is lower than**16 ()**of all global equities and portfolios over the last 90 days. Use U F P to protect your portfolios against small market fluctuations. The stock experiences a moderate downward daily trend and can be a good diversifier. Check odds of U F to be traded at $58.85 in 90 days. . Let's try to break down what U F's beta means in this case. U F returns are very sensitive to returns on the market. As the market goes up or down, U F is expected to follow.### Weak diversification

The correlation between U F P and DJI is

**Weak diversification**for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding U F P and DJI in the same portfolio assuming nothing else is changed.## U F Additional Risk Indicators

The analysis of U F'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 U F's investment and either accepting that risk or mitigating it. Along with some common measures of U F stock 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.

Risk Adjusted Performance | 0.1191 | |||

Market Risk Adjusted Performance | 0.2908 | |||

Mean Deviation | 1.26 | |||

Semi Deviation | 1.15 | |||

Downside Deviation | 1.5 | |||

Coefficient Of Variation | 648.62 | |||

Standard Deviation | 1.84 |

Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

## U F 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 U F 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. U F'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, U F'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 U F P.

Also, please take a look at World Market Map. Note that the U F P information on this page should be used as a complementary analysis to other U F's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try ETF Directory module to find actively traded Exchange Traded Funds (ETF) from around the world.

## Complementary Tools for U F Stock analysis

When running U F P price analysis, check to measure U F'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 U F is operating at the current time. Most of U F's value examination focuses on studying past and present price action to predict the probability of U F's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move U F's price. Additionally, you may evaluate how the addition of U F to your portfolios can decrease your overall portfolio volatility.

Companies DirectoryEvaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | Go | |

Fundamentals ComparisonCompare fundamentals across multiple equities to find investing opportunities | Go | |

Price Exposure ProbabilityAnalyze equity upside and downside potential for a given time horizon across multiple markets | Go | |

Watchlist OptimizationOptimize watchlists to build efficient portfolio or rebalance existing positions based on mean-variance optimization algorithm | Go | |

Idea OptimizerUse advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | Go | |

Portfolio SuggestionGet suggestions outside of your existing asset allocation including your own model portfolios | Go |

The market value of U F P is measured differently than its book value, which is the value of U F that is recorded on the company's balance sheet. Investors also form their own opinion of U F's value that differs from its market value or its book value, called intrinsic value, which is U F's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because U F's market value can be influenced by many factors that don't directly affect U F P underlying business (such as pandemic or basic market pessimism), market value can vary widely from intrinsic value.

Please note, there is a significant difference between U F's value and its price as these two are different measures arrived at by different means. Investors typically determine U F value by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, U F'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.