White Mountains Insurance Stock Technical Analysis
| WTM Stock | USD 2,055 16.11 0.79% |
As of the 29th of January, White Mountains maintains the Downside Deviation of 0.8168, mean deviation of 0.7257, and Market Risk Adjusted Performance of 0.1723. Relative to fundamental indicators, the technical analysis model lets you check existing technical drivers of White Mountains Insurance, as well as the relationship between them. Please check out White Mountains Insurance coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and skewness to decide if White Mountains Insurance is priced fairly, providing market reflects its latest price of 2055.3 per share. Given that White Mountains Insurance has jensen alpha of 0.0439, we strongly advise you to confirm White Mountains Insurance's prevalent market performance to make sure the company can sustain itself at a future point.
White Mountains Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as White, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to WhiteWhite Mountains' Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.White Mountains Analyst Consensus
| Target Price | Advice | # of Analysts | |
| 360.0 | Strong Sell | 0 | Odds |
Most White analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand White stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of White Mountains Insurance, talking to its executives and customers, or listening to White conference calls.
White Analyst Advice DetailsWill Property & Casualty Insurance sector continue expanding? Could White diversify its offerings? Factors like these will boost the valuation of White Mountains. Anticipated expansion of White directly elevates investor willingness to pay premium valuations. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every White Mountains data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.37) | Dividend Share 1 | Earnings Share 54.39 | Revenue Per Share | Quarterly Revenue Growth (0.09) |
The market value of White Mountains Insurance is measured differently than its book value, which is the value of White that is recorded on the company's balance sheet. Investors also form their own opinion of White Mountains' value that differs from its market value or its book value, called intrinsic value, which is White Mountains' true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because White Mountains' market value can be influenced by many factors that don't directly affect White Mountains' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between White Mountains' value and its price as these two are different measures arrived at by different means. Investors typically determine if White Mountains is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Meanwhile, White Mountains' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
White Mountains '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 White Mountains' 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 White Mountains.
| 10/31/2025 |
| 01/29/2026 |
If you would invest 0.00 in White Mountains on October 31, 2025 and sell it all today you would earn a total of 0.00 from holding White Mountains Insurance or generate 0.0% return on investment in White Mountains over 90 days. White Mountains is related to or competes with NI Holdings, Donegal Group, Donegal Group, Hanover Insurance, RLI Corp, Chubb, and Progressive Corp. White Mountains Insurance Group, Ltd., through its subsidiaries, provides insurance and other financial services in the ... More
White Mountains 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 White Mountains' 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 White Mountains Insurance upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8168 | |||
| Information Ratio | 0.0074 | |||
| Maximum Drawdown | 8.03 | |||
| Value At Risk | (1.26) | |||
| Potential Upside | 1.27 |
White Mountains Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for White Mountains' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as White Mountains' standard deviation. In reality, there are many statistical measures that can use White Mountains historical prices to predict the future White Mountains' volatility.| Risk Adjusted Performance | 0.0584 | |||
| Jensen Alpha | 0.0439 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0101 | |||
| Treynor Ratio | 0.1623 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of White Mountains' price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
White Mountains January 29, 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 | 0.0584 | |||
| Market Risk Adjusted Performance | 0.1723 | |||
| Mean Deviation | 0.7257 | |||
| Semi Deviation | 0.7125 | |||
| Downside Deviation | 0.8168 | |||
| Coefficient Of Variation | 1335.5 | |||
| Standard Deviation | 1.11 | |||
| Variance | 1.23 | |||
| Information Ratio | 0.0074 | |||
| Jensen Alpha | 0.0439 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0101 | |||
| Treynor Ratio | 0.1623 | |||
| Maximum Drawdown | 8.03 | |||
| Value At Risk | (1.26) | |||
| Potential Upside | 1.27 | |||
| Downside Variance | 0.6671 | |||
| Semi Variance | 0.5076 | |||
| Expected Short fall | (0.83) | |||
| Skewness | 2.63 | |||
| Kurtosis | 14.11 |
White Mountains Insurance Backtested Returns
As of now, White Stock is very steady. White Mountains Insurance shows Sharpe Ratio of 0.11, which attests that the company had a 0.11 % return per unit of risk over the last 3 months. We have found thirty technical indicators for White Mountains Insurance, which you can use to evaluate the volatility of the company. Please check out White Mountains' Downside Deviation of 0.8168, market risk adjusted performance of 0.1723, and Mean Deviation of 0.7257 to validate if the risk estimate we provide is consistent with the expected return of 0.12%. White Mountains has a performance score of 8 on a scale of 0 to 100. The firm maintains a market beta of 0.45, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, White Mountains' returns are expected to increase less than the market. However, during the bear market, the loss of holding White Mountains is expected to be smaller as well. White Mountains Insurance right now maintains a risk of 1.13%. Please check out White Mountains Insurance maximum drawdown, as well as the relationship between the skewness and day typical price , to decide if White Mountains Insurance will be following its historical returns.
Auto-correlation | -0.08 |
Very weak reverse predictability
White Mountains Insurance has very weak reverse predictability. Overlapping area represents the amount of predictability between White Mountains time series from 31st of October 2025 to 15th of December 2025 and 15th of December 2025 to 29th 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 White Mountains Insurance price movement. The serial correlation of -0.08 indicates that barely 8.0% of current White Mountains price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.08 | |
| Spearman Rank Test | -0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 218.5 |
White Mountains 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.
White Mountains Insurance Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for White Mountains Insurance across different markets.
About White Mountains 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 White Mountains 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 White Mountains Insurance based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on White Mountains Insurance price pattern first instead of the macroeconomic environment surrounding White Mountains Insurance. By analyzing White Mountains'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 White Mountains'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 White Mountains specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 6.84E-4 | 5.08E-4 | 5.84E-4 | 5.55E-4 | Price To Sales Ratio | 1.76 | 2.09 | 1.88 | 2.53 |
White Mountains January 29, 2026 Technical Indicators
Most technical analysis of White 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 White from various momentum indicators to cycle indicators. When you analyze White 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 | 0.0584 | |||
| Market Risk Adjusted Performance | 0.1723 | |||
| Mean Deviation | 0.7257 | |||
| Semi Deviation | 0.7125 | |||
| Downside Deviation | 0.8168 | |||
| Coefficient Of Variation | 1335.5 | |||
| Standard Deviation | 1.11 | |||
| Variance | 1.23 | |||
| Information Ratio | 0.0074 | |||
| Jensen Alpha | 0.0439 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.0101 | |||
| Treynor Ratio | 0.1623 | |||
| Maximum Drawdown | 8.03 | |||
| Value At Risk | (1.26) | |||
| Potential Upside | 1.27 | |||
| Downside Variance | 0.6671 | |||
| Semi Variance | 0.5076 | |||
| Expected Short fall | (0.83) | |||
| Skewness | 2.63 | |||
| Kurtosis | 14.11 |
White Mountains January 29, 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 White 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 | 1.00 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 2,047 | ||
| Day Typical Price | 2,050 | ||
| Price Action Indicator | 16.11 | ||
| Market Facilitation Index | 16.11 |
Check out Your Current Watchlist to better understand how to build diversified portfolios, which includes a position in White Mountains Insurance. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in population. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
Will Property & Casualty Insurance sector continue expanding? Could White diversify its offerings? Factors like these will boost the valuation of White Mountains. Anticipated expansion of White directly elevates investor willingness to pay premium valuations. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every White Mountains data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth (0.37) | Dividend Share 1 | Earnings Share 54.39 | Revenue Per Share | Quarterly Revenue Growth (0.09) |
The market value of White Mountains Insurance is measured differently than its book value, which is the value of White that is recorded on the company's balance sheet. Investors also form their own opinion of White Mountains' value that differs from its market value or its book value, called intrinsic value, which is White Mountains' true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because White Mountains' market value can be influenced by many factors that don't directly affect White Mountains' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between White Mountains' value and its price as these two are different measures arrived at by different means. Investors typically determine if White Mountains is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Meanwhile, White Mountains' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.