Brown Advisory Mid Cap Fund Probability of Future Mutual Fund Price Finishing Under 14.49
| BAFMX Fund | USD 17.77 0.20 1.11% |
Brown |
Brown Advisory Target Price Odds to finish below 14.49
The tendency of Brown Mutual Fund 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 drop to $ 14.49 or more in 90 days |
| 17.77 | 90 days | 14.49 | near 1 |
Based on a normal probability distribution, the odds of Brown Advisory to drop to $ 14.49 or more in 90 days from now is near 1 (This Brown Advisory Mid Cap probability density function shows the probability of Brown Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Brown Advisory Mid price to stay between $ 14.49 and its current price of $17.77 at the end of the 90-day period is under 95 .
Assuming the 90 days horizon Brown Advisory has a beta of 0.17 suggesting as returns on the market go up, Brown Advisory average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Brown Advisory Mid Cap will be expected to be much smaller as well. Additionally Brown Advisory Mid Cap has an alpha of 0.1836, implying that it can generate a 0.18 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Brown Advisory Price Density |
| Price |
Predictive Modules for Brown Advisory
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Brown Advisory Mid. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund 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.Brown Advisory Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Brown Advisory is not an exception. The market had few large corrections towards the Brown Advisory's 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 Brown Advisory Mid Cap, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Brown Advisory within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.18 | |
β | Beta against Dow Jones | 0.17 | |
σ | Overall volatility | 0.64 | |
Ir | Information ratio | 0.11 |
Brown Advisory 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 Brown Advisory for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Brown Advisory Mid can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| The fund holds 95.23% of its assets under management (AUM) in equities |
Brown Advisory Technical Analysis
Brown Advisory's future price can be derived by breaking down and analyzing its technical indicators over time. Brown Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Brown Advisory Mid Cap. In general, you should focus on analyzing Brown Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.
Brown Advisory Predictive Forecast Models
Brown Advisory's time-series forecasting models is one of many Brown Advisory's mutual fund 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 Brown Advisory's 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 mutual fund market movement and maximize returns from investment trading.
Things to note about Brown Advisory Mid
Checking the ongoing alerts about Brown Advisory for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Brown Advisory Mid help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| The fund holds 95.23% of its assets under management (AUM) in equities |
Other Information on Investing in Brown Mutual Fund
Brown Advisory financial ratios help investors to determine whether Brown Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Brown with respect to the benefits of owning Brown Advisory security.
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| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |