BRT Realty Stock Forecast - 8 Period Moving Average

BRT Stock  USD 19.74  0.02  0.10%   
The 8 Period Moving Average forecasted value of BRT Realty Trust on the next trading day is expected to be 19.32 with a mean absolute deviation of 0.54 and the sum of the absolute errors of 28.54. BRT Stock Forecast is based on your current time horizon.
  
Inventory Turnover is likely to gain to 0.26 in 2024, whereas Payables Turnover is likely to drop 1.29 in 2024. . Net Income Applicable To Common Shares is likely to gain to about 60.3 M in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 11.3 M in 2024.
An 8-period moving average forecast model for BRT Realty is based on an artificially constructed time series of BRT Realty 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.

BRT Realty 8 Period Moving Average Price Forecast For the 24th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of BRT Realty Trust on the next trading day is expected to be 19.32 with a mean absolute deviation of 0.54, mean absolute percentage error of 0.47, and the sum of the absolute errors of 28.54.
Please note that although there have been many attempts to predict BRT Stock 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 BRT Realty's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BRT Realty Stock Forecast Pattern

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BRT Realty Forecasted Value

In the context of forecasting BRT Realty's Stock 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. BRT Realty's downside and upside margins for the forecasting period are 17.46 and 21.18, respectively. We have considered BRT Realty'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.
Market Value
19.74
19.32
Expected Value
21.18
Upside

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 BRT Realty stock data series using in forecasting. Note that when a statistical model is used to represent BRT Realty stock, 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.
AICAkaike Information Criteria102.6512
BiasArithmetic mean of the errors -0.1153
MADMean absolute deviation0.5385
MAPEMean absolute percentage error0.0297
SAESum of the absolute errors28.5425
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. BRT Realty Trust 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for BRT Realty

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BRT Realty Trust. 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.
Hype
Prediction
LowEstimatedHigh
17.9519.8121.67
Details
Intrinsic
Valuation
LowRealHigh
18.5720.4322.29
Details
Bollinger
Band Projection (param)
LowMiddleHigh
19.7319.7519.77
Details
4 Analysts
Consensus
LowTargetHigh
20.0222.0024.42
Details

Other Forecasting Options for BRT Realty

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

BRT Realty 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 BRT Realty stock to make a market-neutral strategy. Peer analysis of BRT Realty could also be used in its relative valuation, which is a method of valuing BRT Realty by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

BRT Realty Trust 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 BRT Realty'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 BRT Realty's current price.

BRT Realty Market Strength Events

Market strength indicators help investors to evaluate how BRT Realty stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading BRT Realty shares will generate the highest return on investment. By undertsting and applying BRT Realty stock market strength indicators, traders can identify BRT Realty Trust entry and exit signals to maximize returns.

BRT Realty Risk Indicators

The analysis of BRT Realty'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 BRT Realty's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting brt 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.
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.

Thematic Opportunities

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Additional Tools for BRT Stock Analysis

When running BRT Realty's price analysis, check to measure BRT Realty's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy BRT Realty is operating at the current time. Most of BRT Realty's value examination focuses on studying past and present price action to predict the probability of BRT Realty's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move BRT Realty's price. Additionally, you may evaluate how the addition of BRT Realty to your portfolios can decrease your overall portfolio volatility.