Universal Insurance (Pakistan) Technical Analysis
| UVIC Stock | 22.57 1.36 5.68% |
As of the 23rd of January, Universal Insurance has the Coefficient Of Variation of 17412.84, semi deviation of 3.58, and Risk Adjusted Performance of 0.0125. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Universal Insurance, as well as the relationship between them.
Universal Insurance Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Universal, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to UniversalUniversal |
Universal Insurance '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 Universal Insurance'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 Universal Insurance.
| 10/25/2025 |
| 01/23/2026 |
If you would invest 0.00 in Universal Insurance on October 25, 2025 and sell it all today you would earn a total of 0.00 from holding Universal Insurance or generate 0.0% return on investment in Universal Insurance over 90 days. Universal Insurance is related to or competes with Masood Textile, Fauji Foods, KSB Pumps, Mari Energies, Loads, Thatta Cement, and KOT Addu. More
Universal Insurance 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 Universal Insurance'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 Universal Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.13 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 19.58 | |||
| Value At Risk | (7.82) | |||
| Potential Upside | 9.78 |
Universal Insurance Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Universal Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Universal Insurance's standard deviation. In reality, there are many statistical measures that can use Universal Insurance historical prices to predict the future Universal Insurance's volatility.| Risk Adjusted Performance | 0.0125 | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.54) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0242 |
Universal Insurance January 23, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0125 | |||
| Market Risk Adjusted Performance | 0.0342 | |||
| Mean Deviation | 3.09 | |||
| Semi Deviation | 3.58 | |||
| Downside Deviation | 4.13 | |||
| Coefficient Of Variation | 17412.84 | |||
| Standard Deviation | 4.32 | |||
| Variance | 18.69 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.54) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0242 | |||
| Maximum Drawdown | 19.58 | |||
| Value At Risk | (7.82) | |||
| Potential Upside | 9.78 | |||
| Downside Variance | 17.08 | |||
| Semi Variance | 12.78 | |||
| Expected Short fall | (4.11) | |||
| Skewness | 0.457 | |||
| Kurtosis | 0.6087 |
Universal Insurance Backtested Returns
Universal Insurance owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0313, which indicates the firm had a -0.0313 % return per unit of risk over the last 3 months. Universal Insurance exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Universal Insurance's Semi Deviation of 3.58, coefficient of variation of 17412.84, and Risk Adjusted Performance of 0.0125 to confirm the risk estimate we provide. The entity has a beta of 0.61, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Universal Insurance's returns are expected to increase less than the market. However, during the bear market, the loss of holding Universal Insurance is expected to be smaller as well. At this point, Universal Insurance has a negative expected return of -0.13%. Please make sure to validate Universal Insurance's standard deviation, total risk alpha, treynor ratio, as well as the relationship between the jensen alpha and sortino ratio , to decide if Universal Insurance performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.14 |
Insignificant reverse predictability
Universal Insurance has insignificant reverse predictability. Overlapping area represents the amount of predictability between Universal Insurance time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Universal Insurance price movement. The serial correlation of -0.14 indicates that less than 14.0% of current Universal Insurance price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.14 | |
| Spearman Rank Test | 0.29 | |
| Residual Average | 0.0 | |
| Price Variance | 0.43 |
Universal Insurance technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
Universal Insurance Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Universal Insurance volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Universal Insurance Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Universal Insurance on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Universal Insurance based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Universal Insurance price pattern first instead of the macroeconomic environment surrounding Universal Insurance. By analyzing Universal Insurance's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Universal Insurance's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Universal Insurance specific price patterns or momentum indicators. Please read more on our technical analysis page.
Universal Insurance January 23, 2026 Technical Indicators
Most technical analysis of Universal help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Universal from various momentum indicators to cycle indicators. When you analyze Universal charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0125 | |||
| Market Risk Adjusted Performance | 0.0342 | |||
| Mean Deviation | 3.09 | |||
| Semi Deviation | 3.58 | |||
| Downside Deviation | 4.13 | |||
| Coefficient Of Variation | 17412.84 | |||
| Standard Deviation | 4.32 | |||
| Variance | 18.69 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.54) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0242 | |||
| Maximum Drawdown | 19.58 | |||
| Value At Risk | (7.82) | |||
| Potential Upside | 9.78 | |||
| Downside Variance | 17.08 | |||
| Semi Variance | 12.78 | |||
| Expected Short fall | (4.11) | |||
| Skewness | 0.457 | |||
| Kurtosis | 0.6087 |
Universal Insurance January 23, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Universal stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 52.67 | ||
| Daily Balance Of Power | (0.59) | ||
| Rate Of Daily Change | 0.94 | ||
| Day Median Price | 23.35 | ||
| Day Typical Price | 23.09 | ||
| Price Action Indicator | (1.46) | ||
| Market Facilitation Index | 0 |
Complementary Tools for Universal Stock analysis
When running Universal Insurance's price analysis, check to measure Universal Insurance'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 Universal Insurance is operating at the current time. Most of Universal Insurance's value examination focuses on studying past and present price action to predict the probability of Universal Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Universal Insurance's price. Additionally, you may evaluate how the addition of Universal Insurance to your portfolios can decrease your overall portfolio volatility.
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