Stocklytics Platform
Asset logo for symbol MS
Morgan Stanley
MS64
$124.62arrow_drop_up0.54%$0.68
S&P500
Asset logo for symbol MS
MS64

$124.62

arrow_drop_up0.54%

Analyst Forecast

Period: Next 12 Months

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Analyst Ratings

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Morgan Stanley (MS) Stocklytics Forecast

Investors and analysts are eagerly anticipating Morgan Stanley's stock price forecast for the coming years, particularly for 2023. With advancements in artificial intelligence (AI) and machine learning, stock predictions have become increasingly sophisticated. As such, many are turning to AI-driven models to gain insight into Morgan Stanley's future performance.
Based on these AI predictions, Morgan Stanley's stock price is projected to experience positive growth in the next few years. The machine learning algorithms take into account various factors such as historical data, market trends, and economic indicators to forecast future stock prices. While these predictions are not foolproof, they serve as valuable tools for investors to make informed decisions about their investment portfolios.
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Frequently Asked Questions

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What is the analyst price prediction for Morgan Stanley (MS) stock?

Analysts have set a target price of $99.33 for Morgan Stanley (MS), based on forecasts from 27 analysts. The predicted price range extends from a high of $118 to a low of $80. This represents a potential increase of up to -5.31% and a decrease of -35.8% from the current price of $124.62. These forecasts are as of 2023 Nov 20.
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What are the analyst ratings for Morgan Stanley (MS) stock?

The analyst ratings for Morgan Stanley (MS) are distributed as follows: 6 analysts recommend buying, 16 have a neutral stance, and 1 suggest selling. The prevailing sentiment among the total of 23 analysts leans towards a neutral rating. These ratings indicate the general sentiment among the analysts covering Morgan Stanley.
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What is the AI price prediction for Morgan Stanley (MS) stock?

At present, there is no AI or machine-learning-based price prediction available for Morgan Stanley (MS) stock. The lack of a forecast could stem from various factors, such as inadequate data or the necessity for model recalibration.

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