Markel (Germany) Technical Analysis
| MKV Stock | EUR 1,690 10.00 0.59% |
As of the 27th of January, Markel secures the Mean Deviation of 1.33, downside deviation of 1.43, and Risk Adjusted Performance of 0.0562. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Markel, as well as the relationship between them. Please verify Markel jensen alpha, potential upside, skewness, as well as the relationship between the maximum drawdown and semi variance to decide if Markel is priced some-what accurately, providing market reflects its recent price of 1690.0 per share.
Markel Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Markel, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MarkelMarkel |
Markel '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 Markel'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 Markel.
| 10/29/2025 |
| 01/27/2026 |
If you would invest 0.00 in Markel on October 29, 2025 and sell it all today you would earn a total of 0.00 from holding Markel or generate 0.0% return on investment in Markel over 90 days. Markel is related to or competes with SBA Communications, CASIO COMPUTER, Clean Energy, ALERION CLEANPOWER, ULTRA CLEAN, and TAL Education. Markel Corporation, a diverse financial holding company, markets and underwrites specialty insurance products in the Uni... More
Markel 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 Markel'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 Markel upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.43 | |||
| Information Ratio | 0.0244 | |||
| Maximum Drawdown | 10.98 | |||
| Value At Risk | (2.15) | |||
| Potential Upside | 2.57 |
Markel Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Markel's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Markel's standard deviation. In reality, there are many statistical measures that can use Markel historical prices to predict the future Markel's volatility.| Risk Adjusted Performance | 0.0562 | |||
| Jensen Alpha | 0.1141 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0313 | |||
| Treynor Ratio | 4.56 |
Markel January 27, 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 | 0.0562 | |||
| Market Risk Adjusted Performance | 4.57 | |||
| Mean Deviation | 1.33 | |||
| Semi Deviation | 1.29 | |||
| Downside Deviation | 1.43 | |||
| Coefficient Of Variation | 1462.36 | |||
| Standard Deviation | 1.84 | |||
| Variance | 3.39 | |||
| Information Ratio | 0.0244 | |||
| Jensen Alpha | 0.1141 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0313 | |||
| Treynor Ratio | 4.56 | |||
| Maximum Drawdown | 10.98 | |||
| Value At Risk | (2.15) | |||
| Potential Upside | 2.57 | |||
| Downside Variance | 2.06 | |||
| Semi Variance | 1.65 | |||
| Expected Short fall | (1.54) | |||
| Skewness | 1.57 | |||
| Kurtosis | 5.77 |
Markel Backtested Returns
Markel appears to be very steady, given 3 months investment horizon. Markel has Sharpe Ratio of 0.11, which conveys that the firm had a 0.11 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Markel, which you can use to evaluate the volatility of the firm. Please exercise Markel's Downside Deviation of 1.43, risk adjusted performance of 0.0562, and Mean Deviation of 1.33 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Markel holds a performance score of 9. The company secures a Beta (Market Risk) of 0.0254, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Markel's returns are expected to increase less than the market. However, during the bear market, the loss of holding Markel is expected to be smaller as well. Please check Markel's potential upside, skewness, and the relationship between the maximum drawdown and semi variance , to make a quick decision on whether Markel's current price movements will revert.
Auto-correlation | -0.49 |
Modest reverse predictability
Markel has modest reverse predictability. Overlapping area represents the amount of predictability between Markel time series from 29th of October 2025 to 13th of December 2025 and 13th of December 2025 to 27th 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 Markel price movement. The serial correlation of -0.49 indicates that about 49.0% of current Markel price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.49 | |
| Spearman Rank Test | -0.57 | |
| Residual Average | 0.0 | |
| Price Variance | 2448.68 |
Markel 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.
Markel Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Markel volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Markel 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 Markel 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 Markel based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Markel price pattern first instead of the macroeconomic environment surrounding Markel. By analyzing Markel'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 Markel'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 Markel specific price patterns or momentum indicators. Please read more on our technical analysis page.
Markel January 27, 2026 Technical Indicators
Most technical analysis of Markel 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 Markel from various momentum indicators to cycle indicators. When you analyze Markel 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 | 0.0562 | |||
| Market Risk Adjusted Performance | 4.57 | |||
| Mean Deviation | 1.33 | |||
| Semi Deviation | 1.29 | |||
| Downside Deviation | 1.43 | |||
| Coefficient Of Variation | 1462.36 | |||
| Standard Deviation | 1.84 | |||
| Variance | 3.39 | |||
| Information Ratio | 0.0244 | |||
| Jensen Alpha | 0.1141 | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | 0.0313 | |||
| Treynor Ratio | 4.56 | |||
| Maximum Drawdown | 10.98 | |||
| Value At Risk | (2.15) | |||
| Potential Upside | 2.57 | |||
| Downside Variance | 2.06 | |||
| Semi Variance | 1.65 | |||
| Expected Short fall | (1.54) | |||
| Skewness | 1.57 | |||
| Kurtosis | 5.77 |
Markel January 27, 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 Markel 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 | 0.01 | ||
| Daily Balance Of Power | (0.91) | ||
| Rate Of Daily Change | 0.99 | ||
| Day Median Price | 1,696 | ||
| Day Typical Price | 1,694 | ||
| Price Action Indicator | (10.50) | ||
| Market Facilitation Index | 11.00 |
Complementary Tools for Markel Stock analysis
When running Markel's price analysis, check to measure Markel'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 Markel is operating at the current time. Most of Markel's value examination focuses on studying past and present price action to predict the probability of Markel's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Markel's price. Additionally, you may evaluate how the addition of Markel to your portfolios can decrease your overall portfolio volatility.
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