# Catalent Stock Forecast - Naive Prediction

CTLT Stock | USD 60.71 0.25 0.41% |

The Naive Prediction forecasted value of Catalent on the next trading day is expected to be

**61.13**with a mean absolute deviation of**0.25**and the sum of the absolute errors of**15.34**. Catalent Stock Forecast is based on your current time horizon.Catalent |

**M**in 2024, whereas Common Stock Shares Outstanding is likely to drop slightly above 155.9

**M**in 2024.

Cash | First Reported2012-06-30 | Previous Quarter162 M | Current Value289 M | Quarterly Volatility369.3 M |

## Catalent Naive Prediction Price Forecast For the 12th of October 2024

Given 90 days horizon, the Naive Prediction forecasted value of Catalent on the next trading day is expected to be**61.13**with a mean absolute deviation of

**0.25**, mean absolute percentage error of

**0.11**, and the sum of the absolute errors of

**15.34**.

Please note that although there have been many attempts to predict Catalent 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 Catalent's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

## Catalent Stock Forecast Pattern

Backtest Catalent | Catalent Price Prediction | Buy or Sell Advice |

## Catalent Forecasted Value

In the context of forecasting Catalent'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. Catalent's downside and upside margins for the forecasting period are

**60.68**and**61.58**, respectively. We have considered Catalent'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.## 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 Catalent stock data series using in forecasting. Note that when a statistical model is used to represent Catalent 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.AIC | Akaike Information Criteria | 115.9397 |

Bias | Arithmetic mean of the errors | None |

MAD | Mean absolute deviation | 0.2515 |

MAPE | Mean absolute percentage error | 0.0042 |

SAE | Sum of the absolute errors | 15.3416 |

## Predictive Modules for Catalent

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Catalent. 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 Catalent'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.

## Other Forecasting Options for Catalent

For every potential investor in Catalent, whether a beginner or expert, Catalent's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Catalent Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Catalent. Basic forecasting techniques help filter out the noise by identifying Catalent's price trends.## Catalent 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 Catalent stock to make a market-neutral strategy. Peer analysis of Catalent could also be used in its relative valuation, which is a method of valuing Catalent by comparing valuation metrics with similar companies.

Risk & Return | Correlation |

## Catalent 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 Catalent'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 Catalent's current price.Cycle Indicators | ||

Math Operators | ||

Math Transform | ||

Momentum Indicators | ||

Overlap Studies | ||

Pattern Recognition | ||

Price Transform | ||

Statistic Functions | ||

Volatility Indicators | ||

Volume Indicators |

## Catalent Market Strength Events

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

## Catalent Risk Indicators

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

Mean Deviation | 0.3636 | |||

Semi Deviation | 0.1467 | |||

Standard Deviation | 0.477 | |||

Variance | 0.2275 | |||

Downside Variance | 0.1474 | |||

Semi Variance | 0.0215 | |||

Expected Short fall | (0.42) |

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

## Additional Tools for Catalent Stock Analysis

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