Chartwell Retirement Stock Forecast - Polynomial Regression

CSH-UN Stock  CAD 16.15  0.11  0.68%   
The Polynomial Regression forecasted value of Chartwell Retirement Residences on the next trading day is expected to be 16.33 with a mean absolute deviation of 0.19 and the sum of the absolute errors of 11.68. Chartwell Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Chartwell Retirement stock prices and determine the direction of Chartwell Retirement Residences's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Chartwell Retirement's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
At present, Chartwell Retirement's Payables Turnover is projected to slightly decrease based on the last few years of reporting. The current year's Receivables Turnover is expected to grow to 546.32, whereas Inventory Turnover is forecasted to decline to 1.99. . As of December 1, 2024, Common Stock Shares Outstanding is expected to decline to about 167.4 M. In addition to that, Net Income Applicable To Common Shares is expected to decline to about 39.2 M.
Chartwell Retirement polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Chartwell Retirement Residences as well as the accuracy indicators are determined from the period prices.

Chartwell Retirement Polynomial Regression Price Forecast For the 2nd of December

Given 90 days horizon, the Polynomial Regression forecasted value of Chartwell Retirement Residences on the next trading day is expected to be 16.33 with a mean absolute deviation of 0.19, mean absolute percentage error of 0.06, and the sum of the absolute errors of 11.68.
Please note that although there have been many attempts to predict Chartwell 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 Chartwell Retirement's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Chartwell Retirement Stock Forecast Pattern

Backtest Chartwell RetirementChartwell Retirement Price PredictionBuy or Sell Advice 

Chartwell Retirement Forecasted Value

In the context of forecasting Chartwell Retirement'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. Chartwell Retirement's downside and upside margins for the forecasting period are 15.21 and 17.45, respectively. We have considered Chartwell Retirement'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
16.15
16.33
Expected Value
17.45
Upside

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 Chartwell Retirement stock data series using in forecasting. Note that when a statistical model is used to represent Chartwell Retirement 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 Criteria115.2574
BiasArithmetic mean of the errors None
MADMean absolute deviation0.1915
MAPEMean absolute percentage error0.0123
SAESum of the absolute errors11.6826
A single variable polynomial regression model attempts to put a curve through the Chartwell Retirement historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Chartwell Retirement

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Chartwell Retirement. 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 Chartwell Retirement'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
14.9816.1017.22
Details
Intrinsic
Valuation
LowRealHigh
14.7015.8216.95
Details
Bollinger
Band Projection (param)
LowMiddleHigh
15.6816.0516.41
Details
Earnings
Estimates (0)
LowProjected EPSHigh
-0.01-0.01-0.01
Details

Other Forecasting Options for Chartwell Retirement

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

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

Chartwell Retirement 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 Chartwell Retirement'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 Chartwell Retirement's current price.

Chartwell Retirement Market Strength Events

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

Chartwell Retirement Risk Indicators

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

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

Moving against Chartwell Stock

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The ability to find closely correlated positions to Chartwell Retirement could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Chartwell Retirement 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 Chartwell Retirement - 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 Chartwell Retirement Residences to buy it.
The correlation of Chartwell Retirement 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 Chartwell Retirement moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Chartwell Retirement 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 Chartwell Retirement 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

Other Information on Investing in Chartwell Stock

Chartwell Retirement financial ratios help investors to determine whether Chartwell Stock 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 Chartwell with respect to the benefits of owning Chartwell Retirement security.