White Mountains Stock Forecast - Expected Short fall
| WTM Stock | USD 1,971 26.33 1.35% |
White Stock Forecast is based on your current time horizon. Although White Mountains' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of White Mountains' systematic risk associated with finding meaningful patterns of White Mountains fundamentals over time.
White |
| Check White Mountains Volatility | Backtest White Mountains | Information Ratio |
White Mountains Trading Date Momentum
| On November 22 2024 White Mountains Insurance was traded for 1,971 at the closing time. Highest White Mountains's price during the trading hours was 1,971 and the lowest price during the day was 1,945 . There was no trading activity during the period 0.0. Lack of trading volume on the 22nd of November had no short-term effect on price fluctuation. The trading price change to current price is 1.34% . |
| Compare White Mountains to competition |
Other Forecasting Options for White Mountains
For every potential investor in White, whether a beginner or expert, White Mountains' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. White Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in White. Basic forecasting techniques help filter out the noise by identifying White Mountains' price trends.View White Mountains Related Equities
| Risk & Return | Correlation |
White Mountains Insurance Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of White Mountains' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of White Mountains' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
White Mountains Market Strength Events
Market strength indicators help investors to evaluate how White Mountains stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading White Mountains shares will generate the highest return on investment. By undertsting and applying White Mountains stock market strength indicators, traders can identify White Mountains Insurance entry and exit signals to maximize returns.
White Mountains Risk Indicators
The analysis of White Mountains' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in White Mountains' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting white stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.01 | |||
| Semi Deviation | 1.01 | |||
| Standard Deviation | 1.47 | |||
| Variance | 2.15 | |||
| Downside Variance | 1.37 | |||
| Semi Variance | 1.03 | |||
| Expected Short fall | (1.15) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of White Mountains to cross-verify your projections. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Is Property & Casualty Insurance space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of White Mountains. If investors know White will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about White Mountains listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 6.582 | Dividend Share 1 | Earnings Share 252.53 | Revenue Per Share 1.1 K | Quarterly Revenue Growth 0.835 |
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. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. 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. However, White Mountains' 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.