Madison Square Stock Forecast - 8 Period Moving Average

MSGS Stock  USD 228.49  4.19  1.87%   
The 8 Period Moving Average forecasted value of Madison Square Garden on the next trading day is expected to be 223.29 with a mean absolute deviation of 2.90 and the sum of the absolute errors of 153.73. Madison Stock Forecast is based on your current time horizon.
  
Receivables Turnover is likely to gain to 20.15 in 2024, whereas Inventory Turnover is likely to drop 13.64 in 2024. . Net Income Applicable To Common Shares is likely to gain to about 57.7 M in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 19.6 M in 2024.
An 8-period moving average forecast model for Madison Square is based on an artificially constructed time series of Madison Square daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Madison Square 8 Period Moving Average Price Forecast For the 23rd of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of Madison Square Garden on the next trading day is expected to be 223.29 with a mean absolute deviation of 2.90, mean absolute percentage error of 12.26, and the sum of the absolute errors of 153.73.
Please note that although there have been many attempts to predict Madison 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 Madison Square's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Madison Square Stock Forecast Pattern

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Madison Square Forecasted Value

In the context of forecasting Madison Square'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. Madison Square's downside and upside margins for the forecasting period are 222.31 and 224.26, respectively. We have considered Madison Square'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
228.49
222.31
Downside
223.29
Expected Value
224.26
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Madison Square stock data series using in forecasting. Note that when a statistical model is used to represent Madison Square 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 Criteria105.914
BiasArithmetic mean of the errors -1.7742
MADMean absolute deviation2.9006
MAPEMean absolute percentage error0.0133
SAESum of the absolute errors153.7325
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Madison Square Garden 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Madison Square

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Madison Square Garden. 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.
Hype
Prediction
LowEstimatedHigh
227.51228.49229.47
Details
Intrinsic
Valuation
LowRealHigh
209.78210.76251.34
Details
Bollinger
Band Projection (param)
LowMiddleHigh
214.94222.42229.90
Details
6 Analysts
Consensus
LowTargetHigh
224.32246.50273.62
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Madison Square. Your research has to be compared to or analyzed against Madison Square's peers to derive any actionable benefits. When done correctly, Madison Square'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 Madison Square Garden.

Other Forecasting Options for Madison Square

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

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

Madison Square Garden 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 Madison Square'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 Madison Square's current price.

Madison Square Market Strength Events

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

Madison Square Risk Indicators

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

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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Additional Tools for Madison Stock Analysis

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