Moodys (Brazil) Analysis

Moodys Stock Analysis Notes

The company recorded earning per share (EPS) of 9.63. Moodys last dividend was issued on the 23rd of February 2023. Moodys Corporation operates as an integrated risk assessment firm worldwide. Moodys Corporation was founded in 1900 and is headquartered in New York, New York. MOODYS CORP operates under Financial Data Stock Exchanges classification in Brazil and is traded on Sao Paolo Stock Exchange. It employs 11542 people. To find out more about Moodys contact Robert Fauber at 212 553 0300 or learn more at https://www.moodys.com.

Moodys Market Capitalization

The company currently falls under 'Mega-Cap' category with a current market capitalization of 297.44 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate Moodys's market, we take the total number of its shares issued and multiply it by Moodys's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

Moodys Profitablity

The company has Profit Margin (PM) of 0.25 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.37 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.37.

Technical Drivers

As of the 1st of December, Moodys secures the Downside Deviation of 1.73, mean deviation of 0.8706, and Risk Adjusted Performance of 0.1202. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Moodys, as well as the relationship between them.

Moodys Price Movement Analysis

Moodys Predictive Daily Indicators

Moodys Forecast Models

Moodys' time-series forecasting models are one of many Moodys' stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Moodys' historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Moodys prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Moodys shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Moodys. By using and applying Moodys Stock analysis, traders can create a robust methodology for identifying Moodys entry and exit points for their positions.

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