White Mountains Insurance Stock Probability of Future Stock Price Finishing Over 2013.33
| WTM Stock | USD 2,014 8.98 0.45% |
White |
White Mountains Target Price Odds to finish over 2013.33
The tendency of White Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to stay above $ 2,013 in 90 days |
| 2,014 | 90 days | 2,013 | near 1 |
Based on a normal probability distribution, the odds of White Mountains to stay above $ 2,013 in 90 days from now is near 1 (This White Mountains Insurance probability density function shows the probability of White Stock to fall within a particular range of prices over 90 days) . Probability of White Mountains Insurance price to stay between $ 2,013 and its current price of $2013.51 at the end of the 90-day period is near 1 .
Considering the 90-day investment horizon the stock has the beta coefficient of 1.11 . This entails White Mountains Insurance market returns are highly reactive to returns on the market. As the market goes up or down, White Mountains is expected to follow. Additionally White Mountains Insurance has an alpha of 0.0598, implying that it can generate a 0.0598 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). White Mountains Price Density |
| Price |
Predictive Modules for White Mountains
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as White Mountains Insurance. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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 Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. White Mountains is not an exception. The market had few large corrections towards the White Mountains' value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold White Mountains Insurance, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of White Mountains within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.06 | |
β | Beta against Dow Jones | 1.11 | |
σ | Overall volatility | 84.06 | |
Ir | Information ratio | 0.05 |
White Mountains Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of White Mountains for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for White Mountains Insurance can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| Over 90.0% of the company outstanding shares are owned by institutional investors | |
| Latest headline from MacroaxisInsider: Disposition of 150 shares by Morgan Davis of White Mountains subject to Rule 16b-3 |
White Mountains Price Density Drivers
Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of White Stock often depends not only on the future outlook of the current and potential White Mountains' investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. White Mountains' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 2.5 M | |
| Cash And Short Term Investments | 1.6 B |
White Mountains Technical Analysis
White Mountains' future price can be derived by breaking down and analyzing its technical indicators over time. White Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of White Mountains Insurance. In general, you should focus on analyzing White Stock price patterns and their correlations with different microeconomic environments and drivers.
White Mountains Predictive Forecast Models
White Mountains' time-series forecasting models is one of many White Mountains' stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary White Mountains' historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.
Things to note about White Mountains Insurance
Checking the ongoing alerts about White Mountains for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for White Mountains Insurance help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| Over 90.0% of the company outstanding shares are owned by institutional investors | |
| Latest headline from MacroaxisInsider: Disposition of 150 shares by Morgan Davis of White Mountains subject to Rule 16b-3 |
Check out White Mountains Backtesting, White Mountains Valuation, White Mountains Correlation, White Mountains Hype Analysis, White Mountains Volatility, White Mountains History as well as White Mountains Performance. You can also try the USA ETFs module to find actively traded Exchange Traded Funds (ETF) in USA.
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 252.49 | 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.