Bluerock Residential Stock Forecast - Double Exponential Smoothing

BRGDelisted Stock  USD 26.60  0.28  1.04%   
The Double Exponential Smoothing forecasted value of Bluerock Residential Growth on the next trading day is expected to be 26.62 with a mean absolute deviation of  0.11  and the sum of the absolute errors of 6.76. Bluerock Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Bluerock Residential stock prices and determine the direction of Bluerock Residential Growth's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Bluerock Residential's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in metropolitan statistical area.
  
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.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Bluerock Residential works best with periods where there are trends or seasonality.

Bluerock Residential Double Exponential Smoothing Price Forecast For the 29th of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Bluerock Residential Growth on the next trading day is expected to be 26.62 with a mean absolute deviation of 0.11, mean absolute percentage error of 0.05, and the sum of the absolute errors of 6.76.
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 Double Exponential Smoothing 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 CriteriaHuge
BiasArithmetic mean of the errors -0.0259
MADMean absolute deviation0.1145
MAPEMean absolute percentage error0.0043
SAESum of the absolute errors6.7581
When Bluerock Residential Growth prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Bluerock Residential Growth trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Bluerock Residential observations are given relatively more weight in forecasting than the older observations.

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 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, anticipate that 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.
Hype
Prediction
LowEstimatedHigh
26.6026.6026.60
Details
Intrinsic
Valuation
LowRealHigh
22.4122.4129.26
Details
Bollinger
Band Projection (param)
LowMiddleHigh
26.4026.7127.01
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 toward 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.
 Risk & Return  Correlation

Bluerock Residential Market Strength Events

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

Bluerock Residential Risk Indicators

The analysis of Bluerock Residential'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 Bluerock Residential's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bluerock 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.

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 Stock

  0.61EQR Equity Residential Financial Report 23rd of April 2024 PairCorr
  0.69INVH Invitation Homes Financial Report 6th of May 2024 PairCorr

Moving against Bluerock Stock

  0.59MSB Mesabi Trust Report 22nd of April 2024 PairCorr
  0.42ELS Equity Lifestyle Pro Fiscal Quarter End 31st of March 2024 PairCorr
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 instruments. 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
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in metropolitan statistical area.
You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.

Other Consideration for investing in Bluerock Stock

If you are still planning to invest in Bluerock Residential check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Bluerock Residential's history and understand the potential risks before investing.
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