CIM Real Pink Sheet Forecast - Polynomial Regression
| CMRF Stock | USD 3.35 0.00 0.00% |
The Polynomial Regression forecasted value of CIM Real Estate on the next trading day is expected to be 3.28 with a mean absolute deviation of 0.27 and the sum of the absolute errors of 16.18. CIM Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of CIM Real's historical fundamentals, such as revenue growth or operating cash flow patterns.
CIM |
CIM Real Polynomial Regression Price Forecast For the 28th of December
Given 90 days horizon, the Polynomial Regression forecasted value of CIM Real Estate on the next trading day is expected to be 3.28 with a mean absolute deviation of 0.27, mean absolute percentage error of 0.15, and the sum of the absolute errors of 16.18.Please note that although there have been many attempts to predict CIM Pink Sheet 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 CIM Real's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
CIM Real Pink Sheet Forecast Pattern
| Backtest CIM Real | CIM Real Price Prediction | Buy or Sell Advice |
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of CIM Real pink sheet data series using in forecasting. Note that when a statistical model is used to represent CIM Real pink sheet, 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.| AIC | Akaike Information Criteria | 116.1914 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2652 |
| MAPE | Mean absolute percentage error | 0.0997 |
| SAE | Sum of the absolute errors | 16.1763 |
Predictive Modules for CIM Real
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CIM Real Estate. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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.CIM Real 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 CIM Real pink sheet to make a market-neutral strategy. Peer analysis of CIM Real could also be used in its relative valuation, which is a method of valuing CIM Real by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
CIM Real Market Strength Events
Market strength indicators help investors to evaluate how CIM Real pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CIM Real shares will generate the highest return on investment. By undertsting and applying CIM Real pink sheet market strength indicators, traders can identify CIM Real Estate entry and exit signals to maximize returns.
CIM Real Risk Indicators
The analysis of CIM Real'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 CIM Real's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cim pink sheet 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.
| Mean Deviation | 13.95 | |||
| Semi Deviation | 14.21 | |||
| Standard Deviation | 20.29 | |||
| Variance | 411.53 | |||
| Downside Variance | 272.16 | |||
| Semi Variance | 202.0 | |||
| Expected Short fall | (18.00) |
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.
Currently Active Assets on Macroaxis
| DD | Dupont De Nemours | |
| CRDO | Credo Technology Group | |
| GOOG | Alphabet Inc Class C | |
| BAC | Bank of America | |
| CRM | Salesforce |
Other Information on Investing in CIM Pink Sheet
CIM Real financial ratios help investors to determine whether CIM Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in CIM with respect to the benefits of owning CIM Real security.