Brown Advisory Mutual Fund Forecast - 8 Period Moving Average

An 8-period moving average forecast model for Brown Advisory is based on an artificially constructed time series of Brown Advisory daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Brown Advisory 8 Period Moving Average Price Forecast For the 30th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Brown Advisory Small Cap on the next trading day is expected to be 50.11 with a mean absolute deviation of 0.73, mean absolute percentage error of 0.93, and the sum of the absolute errors of 38.83.

Brown Advisory Mutual Fund Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Brown Advisory mutual fund data series using in forecasting. Note that when a statistical model is used to represent Brown Advisory mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality. The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Brown Advisory Small Cap 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

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 Small. 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.

Hype Prediction Low Estimated High 49.75 50.72 51.69 Details

Intrinsic Valuation Low Real High 49.19 50.16 51.13 Details

Other Forecasting Options for Brown Advisory

For every potential investor in Brown, whether a beginner or expert, Brown Advisory's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Brown Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Brown. Basic forecasting techniques help filter out the noise by identifying Brown Advisory's price trends.

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Risk & Return

Correlation

Brown Advisory Small Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Brown Advisory's 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 Brown Advisory's current price.

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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

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