Bluerock Residential Stock Forecast - Simple Regression

BRG
 Stock
  

USD 26.60  0.28  1.04%   

Bluerock Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Bluerock Residential historical stock prices and determine the direction of Bluerock Residential Growth's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Bluerock Residential historical fundamentals such as revenue growth or operating cash flow patterns. Although Bluerock Residential naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Bluerock Residential Growth systematic risk associated with finding meaningful patterns of Bluerock Residential fundamentals over time.
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Bluerock Residential Accrued Expenses Turnover is projected to increase slightly based on the last few years of reporting. The past year's Accrued Expenses Turnover was at 5.26. The current year Cash and Equivalents Turnover is expected to grow to 2.31, whereas Accounts Payable Turnover is forecasted to decline to 83.15. . As of November 27, 2022, Weighted Average Shares is expected to decline to about 20.8 M. In addition to that, Weighted Average Shares Diluted is expected to decline to about 21 M.

Open Interest Agains t 2023-01-20 Bluerock Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Bluerock Residential's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest Bluerock Residential's options reflect these daily shifts, investors could use the patterns of these changes to develop long and short trading strategies Bluerock Residential stock based on available contracts left at the end of a trading day.
Please note, to derive more accurate forecasting about market movement from the current Bluerock Residential's open interest, investors have to compare it to Bluerock Residential's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Bluerock Residential is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Bluerock. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in Bluerock Residential cannot accurately predict what will happen the next trading day because, historically, stock 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 Bluerock Residential's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Bluerock Residential's price structures and extracts relationships that further increase the generated results' accuracy.
Simple Regression model is a single variable regression model that attempts to put a straight line through Bluerock Residential price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Bluerock Residential Simple Regression Price Forecast For the 28th of November

Given 90 days horizon, the Simple Regression forecasted value of Bluerock Residential Growth on the next trading day is expected to be 26.88 with a mean absolute deviation of 0.23, mean absolute percentage error of 0.09, and the sum of the absolute errors of 14.31.
Please note that although there have been many attempts to predict Bluerock 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 Bluerock Residential's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Bluerock Residential Stock Forecast Pattern

Backtest Bluerock ResidentialBluerock Residential Price PredictionBuy or Sell Advice 

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Bluerock Residential stock data series using in forecasting. Note that when a statistical model is used to represent Bluerock Residential 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 Criteria115.6767
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2345
MAPEMean absolute percentage error0.0089
SAESum of the absolute errors14.3052
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Bluerock Residential Growth historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Bluerock Residential

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bluerock Residential. Regardless of method or technology, however, to accurately forecast the stock or bond 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, frequently view the market will even out over time. This tendency of Bluerock Residential'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. Please use the tools below to analyze the current value of Bluerock Residential in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
26.2426.6026.96
Details
Intrinsic
Valuation
LowReal ValueHigh
22.6423.0029.26
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
26.6026.7626.92
Details
5 Analysts
Consensus
LowTarget PriceHigh
9.5023.5929.85
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Bluerock Residential. Your research has to be compared to or analyzed against Bluerock Residential's peers to derive any actionable benefits. When done correctly, Bluerock Residential's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy towards taking a position in Bluerock Residential.

Bluerock Residential 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 Bluerock Residential stock to make a market-neutral strategy. Peer analysis of Bluerock Residential could also be used in its relative valuation, which is a method of valuing Bluerock Residential by comparing valuation metrics with similar companies.
Equity ResidentialMid-America ApartmentAvalonbay CommunitiesUnited Dominion RealtyEssex Property TrustCamden Property TrustAmn Healthcare ServicesTwist Bioscience CorpFreedom Holding CorpGx Nasdaq-100 CoveredFranklin Mutual EuropeanBhp BillitonNatural Hlth TrdUSA Value FactorBetapro Canadian Gold
 Risk & Return  Correlation

Bluerock Residential Risk Indicators

The analysis of Bluerock Residential's basic risk indicators is one of the essential steps in helping accuretelly forecast its future price. The process involves identifying the amount of risk involved in Bluerock Residential's investment and either accepting that risk or mitigating it. Along with some funamental techniques of forecasting Bluerock Residential stock price, 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 stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Bluerock Residential in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Bluerock Residential's short interest history, or implied volatility extrapolated from Bluerock Residential options trading.

Pair Trading with Bluerock Residential

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Bluerock Residential position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bluerock Residential will appreciate offsetting losses from the drop in the long position's value.

Moving together with Bluerock Residential

+0.78JNJJohnson Johnson TrendingPairCorr
+0.75RIGTransocean Normal TradingPairCorr
+0.64RLXRLX Technology Downward RallyPairCorr
+0.75SUSuncor Energy Potential GrowthPairCorr
The ability to find closely correlated positions to Bluerock Residential could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bluerock Residential when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Bluerock Residential - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Bluerock Residential Growth to buy it.
The correlation of Bluerock Residential is a statistical measure of how it moves in relation to other equities. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Bluerock Residential moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bluerock Residential moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Bluerock Residential can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Continue to Trending Equities. You can also try Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.

Other Tools for Bluerock Stock

When running Bluerock Residential price analysis, check to measure Bluerock Residential'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 Bluerock Residential is operating at the current time. Most of Bluerock Residential's value examination focuses on studying past and present price action to predict the probability of Bluerock Residential's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Bluerock Residential's price. Additionally, you may evaluate how the addition of Bluerock Residential to your portfolios can decrease your overall portfolio volatility.
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