Legg Mason Mutual Fund Forecast - 4 Period Moving Average
| LGOCX Fund | USD 8.27 0.02 0.24% |
The 4 Period Moving Average forecasted value of Legg Mason Bw on the next trading day is expected to be 8.25 with a mean absolute deviation of 0.05 and the sum of the absolute errors of 3.13. Legg Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Legg Mason stock prices and determine the direction of Legg Mason Bw's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Legg Mason's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Legg Mason to cross-verify your projections. Legg |
Most investors in Legg Mason cannot accurately predict what will happen the next trading day because, historically, fund markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Legg Mason's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Legg Mason's price structures and extracts relationships that further increase the generated results' accuracy.
A four-period moving average forecast model for Legg Mason Bw is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility. Legg Mason 4 Period Moving Average Price Forecast For the 24th of April
Given 90 days horizon, the 4 Period Moving Average forecasted value of Legg Mason Bw on the next trading day is expected to be 8.25 with a mean absolute deviation of 0.05, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.13.Please note that although there have been many attempts to predict Legg Mutual Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Legg Mason's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Legg Mason Mutual Fund Forecast Pattern
| Backtest Legg Mason | Legg Mason Price Prediction | Buy or Sell Advice |
Legg Mason Forecasted Value
In the context of forecasting Legg Mason's Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Legg Mason's downside and upside margins for the forecasting period are 7.62 and 8.88, respectively. We have considered Legg Mason's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Legg Mason mutual fund data series using in forecasting. Note that when a statistical model is used to represent Legg Mason 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.| AIC | Akaike Information Criteria | 105.5313 |
| Bias | Arithmetic mean of the errors | 0.0209 |
| MAD | Mean absolute deviation | 0.0549 |
| MAPE | Mean absolute percentage error | 0.0064 |
| SAE | Sum of the absolute errors | 3.1275 |
Predictive Modules for Legg Mason
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Legg Mason Bw. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Legg Mason's 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.
Other Forecasting Options for Legg Mason
For every potential investor in Legg, whether a beginner or expert, Legg Mason's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Legg Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Legg. Basic forecasting techniques help filter out the noise by identifying Legg Mason's price trends.Legg Mason Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Legg Mason mutual fund to make a market-neutral strategy. Peer analysis of Legg Mason could also be used in its relative valuation, which is a method of valuing Legg Mason by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Legg Mason Bw 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 Legg Mason'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 Legg Mason's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Legg Mason Market Strength Events
Market strength indicators help investors to evaluate how Legg Mason mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Legg Mason shares will generate the highest return on investment. By undertsting and applying Legg Mason mutual fund market strength indicators, traders can identify Legg Mason Bw entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 8.27 | |||
| Day Typical Price | 8.27 | |||
| Price Action Indicator | 0.01 | |||
| Period Momentum Indicator | 0.02 |
Legg Mason Risk Indicators
The analysis of Legg Mason's 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 Legg Mason's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting legg mutual fund 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 | 0.4493 | |||
| Standard Deviation | 0.6096 | |||
| Variance | 0.3716 |
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 Legg Mason to cross-verify your projections. Note that the Legg Mason Bw information on this page should be used as a complementary analysis to other Legg Mason's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.