Cboe Global Stock Forecast - Naive Prediction

CBOE Stock  USD 214.13  0.87  0.41%   
The Naive Prediction forecasted value of Cboe Global Markets on the next trading day is expected to be 226.45 with a mean absolute deviation of 2.36 and the sum of the absolute errors of 146.04. Cboe Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Cboe Global stock prices and determine the direction of Cboe Global Markets's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Cboe Global's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
As of November 26, 2024, Inventory Turnover is expected to decline to 4.46. In addition to that, Payables Turnover is expected to decline to 56.04. The current year's Common Stock Shares Outstanding is expected to grow to about 106.9 M. The current year's Net Income Applicable To Common Shares is expected to grow to about 288.3 M.

Cboe Global Cash Forecast

Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Cboe Global's financial statements to predict how it will affect future prices.
 
Cash  
First Reported
2009-12-31
Previous Quarter
619.8 M
Current Value
763.2 M
Quarterly Volatility
29 B
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for Cboe Global is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Cboe Global Markets value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Cboe Global Naive Prediction Price Forecast For the 27th of November

Given 90 days horizon, the Naive Prediction forecasted value of Cboe Global Markets on the next trading day is expected to be 226.45 with a mean absolute deviation of 2.36, mean absolute percentage error of 8.11, and the sum of the absolute errors of 146.04.
Please note that although there have been many attempts to predict Cboe 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 Cboe Global's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Cboe Global Stock Forecast Pattern

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Cboe Global Forecasted Value

In the context of forecasting Cboe Global'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. Cboe Global's downside and upside margins for the forecasting period are 225.11 and 227.79, respectively. We have considered Cboe Global'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
214.13
225.11
Downside
226.45
Expected Value
227.79
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Cboe Global stock data series using in forecasting. Note that when a statistical model is used to represent Cboe Global 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 Criteria122.0411
BiasArithmetic mean of the errors None
MADMean absolute deviation2.3555
MAPEMean absolute percentage error0.0113
SAESum of the absolute errors146.0431
This model is not at all useful as a medium-long range forecasting tool of Cboe Global Markets. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Cboe Global. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Cboe Global

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cboe Global Markets. 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
211.98213.32214.66
Details
Intrinsic
Valuation
LowRealHigh
155.45156.79234.59
Details
Bollinger
Band Projection (param)
LowMiddleHigh
192.21204.10215.99
Details
14 Analysts
Consensus
LowTargetHigh
125.13137.50152.63
Details

Other Forecasting Options for Cboe Global

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

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

Cboe Global Markets 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 Cboe Global'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 Cboe Global's current price.

Cboe Global Market Strength Events

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

Cboe Global Risk Indicators

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Cboe Global Markets is a strong investment it is important to analyze Cboe Global's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Cboe Global's future performance. For an informed investment choice regarding Cboe Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Cboe Global to cross-verify your projections.
You can also try the Portfolio Anywhere module to track or share privately all of your investments from the convenience of any device.
Is Financial Exchanges & Data space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Cboe Global. If investors know Cboe will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Cboe Global listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.062
Dividend Share
2.28
Earnings Share
7.34
Revenue Per Share
37.547
Quarterly Revenue Growth
0.162
The market value of Cboe Global Markets is measured differently than its book value, which is the value of Cboe that is recorded on the company's balance sheet. Investors also form their own opinion of Cboe Global's value that differs from its market value or its book value, called intrinsic value, which is Cboe Global's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Cboe Global's market value can be influenced by many factors that don't directly affect Cboe Global's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Cboe Global's value and its price as these two are different measures arrived at by different means. Investors typically determine if Cboe Global is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Cboe Global's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.