Modiv Stock Forecast - Simple Regression

MDV Stock  USD 15.04  0.20  1.31%   
The Simple Regression forecasted value of Modiv Inc on the next trading day is expected to be 15.39 with a mean absolute deviation of 0.48 and the sum of the absolute errors of 40.12. Modiv Stock Forecast is based on your current time horizon.
  
At this time, Modiv's Inventory Turnover is fairly stable compared to the past year. Payables Turnover is likely to climb to 38.65 in 2024, whereas Receivables Turnover is likely to drop 3.53 in 2024. . Common Stock Shares Outstanding is likely to climb to about 8.7 M in 2024, whereas Net Loss is likely to drop (6.6 M) in 2024.
Most investors in Modiv 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 Modiv's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Modiv'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 Modiv 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.

Modiv Simple Regression Price Forecast For the 10th of June

Given 90 days horizon, the Simple Regression forecasted value of Modiv Inc on the next trading day is expected to be 15.39 with a mean absolute deviation of 0.48, mean absolute percentage error of 0.39, and the sum of the absolute errors of 40.12.
Please note that although there have been many attempts to predict Modiv 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 Modiv's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Modiv Stock Forecast Pattern

Backtest ModivModiv Price PredictionBuy or Sell Advice 

Modiv Forecasted Value

In the context of forecasting Modiv'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. Modiv's downside and upside margins for the forecasting period are 13.38 and 17.41, respectively. We have considered Modiv'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
15.04
15.39
Expected Value
17.41
Upside

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 Modiv stock data series using in forecasting. Note that when a statistical model is used to represent Modiv 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 Criteria157.6145
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4834
MAPEMean absolute percentage error0.0316
SAESum of the absolute errors40.1228
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 Modiv Inc 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 Modiv

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Modiv Inc. 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 Modiv'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
13.0115.0217.03
Details
Intrinsic
Valuation
LowRealHigh
13.7015.7117.72
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.6515.2715.89
Details
4 Analysts
Consensus
LowTargetHigh
14.5616.0017.76
Details

Other Forecasting Options for Modiv

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

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

Modiv Inc 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 Modiv'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 Modiv's current price.

Modiv Market Strength Events

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

Modiv Risk Indicators

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

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

Moving against Modiv Stock

  0.44FTHM Fathom HoldingsPairCorr
  0.42ONL Orion Office ReitPairCorr
  0.41AEI Alset Ehome InternationalPairCorr
  0.4EXPI eXp World HoldingsPairCorr
  0.4MMI Marcus MillichapPairCorr
The ability to find closely correlated positions to Modiv could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Modiv 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 Modiv - 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 Modiv Inc to buy it.
The correlation of Modiv 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 Modiv moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Modiv Inc 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 Modiv 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 Modiv Stock Analysis

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