Ryman Hospitality Stock Forward View - Simple Regression

RHP Stock  USD 90.56  -2.51  -2.70%   
The Simple Regression reference data for Ryman Hospitality is derived from the equity's published trading history. The resulting forecast and deviation statistics are presented as reference data for informational context. Forecast values and accuracy statistics are presented for informational purposes.
The Simple Regression forecasted value of Ryman Hospitality Properties on the next trading day is expected to be 95.53 with a mean absolute deviation of 3.13 and the sum of the absolute errors of 190.99.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 Ryman Hospitality Properties historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. The forecast reference data presented here for Ryman Hospitality Properties reflects Simple Regression model output and is intended as reference material for analytical use.
Simple Regression model is a single variable regression model that attempts to put a straight line through Ryman Hospitality 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.

Simple Regression Price Forecast For the 28th of March

Given 90 days horizon, the Simple Regression forecasted value of Ryman Hospitality Properties on the next trading day is expected to be 95.53 with a mean absolute deviation of 3.13 , mean absolute percentage error of 14.41 , and the sum of the absolute errors of 190.99 .
Please note that although there have been many attempts to predict Ryman Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Ryman Hospitality's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

Backtest Ryman Hospitality  Ryman Hospitality Price Prediction  Research Analysis  

Forecasted Value

Forecasting Ryman Hospitality Properties for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The projected forecast band currently runs from roughly 93.96 on the downside to about 97.10 on the upside.
Market Value
90.56
95.53
Expected Value
97.10
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 Ryman Hospitality stock data series using in forecasting. Note that when a statistical model is used to represent Ryman Hospitality 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 Criteria120.7781
BiasArithmetic mean of the errors None
MADMean absolute deviation3.131
MAPEMean absolute percentage error0.0323
SAESum of the absolute errors190.9932
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 Ryman Hospitality Properties historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Other Forecasting Options for Ryman Hospitality

Fibonacci retracement levels applied to Ryman Stock price swings identify potential support and resistance zones. Extreme price moves in Ryman occur more frequently than standard risk models assume. Support and resistance levels derived from Ryman Hospitality's historical data identify zones where buying or selling pressure has stalled moves.

Ryman Hospitality Related Equities

These stocks within the Real Estate space are often compared to Ryman Hospitality by analysts and fund managers in the sector. Checking cash flow across this peer set helps gauge Ryman Hospitality's relative financial strength. Firms that trade at big discounts to peers on core metrics may be worth more research. Combining quantitative ratios with qualitative context such as management quality and market position sharpens peer comparisons.
 Risk & Return  Correlation

Ryman Hospitality Market Strength Events

Tracking market strength indicators for Ryman Hospitality provides context for understanding stock momentum dynamics. Tracking these indicators helps identify periods where trading Ryman Hospitality is likely to be most rewarding. These tools are essential for timing trades in Ryman Hospitality Properties with a quantitative framework.

Ryman Hospitality Risk Indicators

Properly assessing Ryman Hospitality's risk indicators is a prerequisite for building reliable price forecasts. This analysis provides context for determining the appropriate level of risk to accept when holding Ryman Hospitality's. Analyzing Ryman Hospitality's risk indicators provides a critical input for investment risk management.
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.

Story Coverage note for Ryman Hospitality

A coverage review of Ryman Hospitality Properties shows when the security is attracting above-average attention from contributors and market observers. A disciplined read of coverage separates durable relevance from temporary noise.

Ryman Hospitality Short Properties

Short-interest signals around Ryman Hospitality Properties can help investors judge whether skeptical positioning is starting to pressure price predictability and market tone. Used correctly, these measures can help investors decide when hedging or timing discipline may matter more than conviction alone.
Common Stock Shares Outstanding66 M
Cash And Short Term Investments500.2 M

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