Healthcare Trust Preferred Stock Forecast - Naive Prediction

HTIBP Preferred Stock  USD 15.25  0.05  0.33%   
The Naive Prediction forecasted value of Healthcare Trust Preferred on the next trading day is expected to be 15.50 with a mean absolute deviation of 0.12 and the sum of the absolute errors of 7.59. Healthcare Preferred Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Healthcare Trust is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Healthcare Trust Preferred value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Healthcare Trust Naive Prediction Price Forecast For the 13th of December 2024

Given 90 days horizon, the Naive Prediction forecasted value of Healthcare Trust Preferred on the next trading day is expected to be 15.50 with a mean absolute deviation of 0.12, mean absolute percentage error of 0.03, and the sum of the absolute errors of 7.59.
Please note that although there have been many attempts to predict Healthcare Preferred 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 Healthcare Trust's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Healthcare Trust Preferred Stock Forecast Pattern

Backtest Healthcare TrustHealthcare Trust Price PredictionBuy or Sell Advice 

Healthcare Trust Forecasted Value

In the context of forecasting Healthcare Trust's Preferred 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. Healthcare Trust's downside and upside margins for the forecasting period are 14.36 and 16.65, respectively. We have considered Healthcare Trust'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
15.25
15.50
Expected Value
16.65
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Healthcare Trust preferred stock data series using in forecasting. Note that when a statistical model is used to represent Healthcare Trust preferred 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 Criteria116.296
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1225
MAPEMean absolute percentage error0.0079
SAESum of the absolute errors7.5935
This model is not at all useful as a medium-long range forecasting tool of Healthcare Trust Preferred. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Healthcare Trust. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Healthcare Trust

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Healthcare Trust Pre. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred 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
14.1015.2516.40
Details
Intrinsic
Valuation
LowRealHigh
14.1915.3416.49
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.8515.2115.58
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Healthcare Trust. Your research has to be compared to or analyzed against Healthcare Trust's peers to derive any actionable benefits. When done correctly, Healthcare Trust'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 Healthcare Trust Pre.

Other Forecasting Options for Healthcare Trust

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

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

Healthcare Trust Pre Technical and Predictive Analytics

The preferred stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Healthcare Trust'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 Healthcare Trust's current price.

Healthcare Trust Market Strength Events

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

Healthcare Trust Risk Indicators

The analysis of Healthcare Trust'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 Healthcare Trust's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting healthcare preferred 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 Healthcare Trust

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 Healthcare Trust 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 Healthcare Trust will appreciate offsetting losses from the drop in the long position's value.

Moving against Healthcare Preferred Stock

  0.77DOUG Douglas EllimanPairCorr
  0.58OZ Belpointe PREP LLCPairCorr
  0.5PK Park Hotels ResortsPairCorr
  0.5MITT-PC AG Mortgage InvestmentPairCorr
  0.49DX Dynex Capital Sell-off TrendPairCorr
The ability to find closely correlated positions to Healthcare Trust could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Healthcare Trust 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 Healthcare Trust - 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 Healthcare Trust Preferred to buy it.
The correlation of Healthcare Trust 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 Healthcare Trust moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Healthcare Trust Pre 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 Healthcare Trust 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

Additional Tools for Healthcare Preferred Stock Analysis

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