Valvoline Stock Forecast - 4 Period Moving Average

VVV Stock  USD 39.49  0.92  2.39%   
The 4 Period Moving Average forecasted value of Valvoline on the next trading day is expected to be 39.03 with a mean absolute deviation of 0.76 and the sum of the absolute errors of 43.04. Valvoline Stock Forecast is based on your current time horizon.
  
At this time, Valvoline's Inventory Turnover is fairly stable compared to the past year. Payables Turnover is likely to climb to 7.09 in 2024, whereas Fixed Asset Turnover is likely to drop 1.22 in 2024. . Common Stock Shares Outstanding is likely to climb to about 145.5 M in 2024. Net Income Applicable To Common Shares is likely to climb to about 1.7 B in 2024.
A four-period moving average forecast model for Valvoline is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.

Valvoline 4 Period Moving Average Price Forecast For the 27th of November

Given 90 days horizon, the 4 Period Moving Average forecasted value of Valvoline on the next trading day is expected to be 39.03 with a mean absolute deviation of 0.76, mean absolute percentage error of 1.10, and the sum of the absolute errors of 43.04.
Please note that although there have been many attempts to predict Valvoline 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 Valvoline's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Valvoline Stock Forecast Pattern

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Valvoline Forecasted Value

In the context of forecasting Valvoline'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. Valvoline's downside and upside margins for the forecasting period are 37.31 and 40.74, respectively. We have considered Valvoline'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
39.49
39.03
Expected Value
40.74
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Valvoline stock data series using in forecasting. Note that when a statistical model is used to represent Valvoline 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 Criteria110.858
BiasArithmetic mean of the errors 0.0335
MADMean absolute deviation0.7551
MAPEMean absolute percentage error0.0186
SAESum of the absolute errors43.04
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Valvoline. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Valvoline and therefore, it cannot be a useful forecasting tool for medium or long range price predictions

Predictive Modules for Valvoline

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Valvoline. 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 Valvoline'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
37.7339.4441.15
Details
Intrinsic
Valuation
LowRealHigh
38.6740.3842.09
Details
Bollinger
Band Projection (param)
LowMiddleHigh
37.1041.0545.00
Details
13 Analysts
Consensus
LowTargetHigh
36.9140.5645.02
Details

Other Forecasting Options for Valvoline

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

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

Valvoline 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 Valvoline'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 Valvoline's current price.

Valvoline Market Strength Events

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

Valvoline Risk Indicators

The analysis of Valvoline'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 Valvoline's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting valvoline 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 Valvoline Stock Analysis

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