Moodys Stock Market Value

MCO Stock  USD 446.84  9.04  2.06%   
Moodys' market value is the price at which a share of Moodys trades on a public exchange. It measures the collective expectations of Moodys investors about its performance. Moodys is selling at 446.84 as of the 16th of March 2025; that is 2.06% increase since the beginning of the trading day. The stock's open price was 437.8.
With this module, you can estimate the performance of a buy and hold strategy of Moodys and determine expected loss or profit from investing in Moodys over a given investment horizon. Check out Moodys Correlation, Moodys Volatility and Moodys Alpha and Beta module to complement your research on Moodys.
To learn how to invest in Moodys Stock, please use our How to Invest in Moodys guide.
Symbol

Moodys Price To Book Ratio

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 Moodys. If investors know Moodys 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 Moodys 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
0.171
Dividend Share
3.4
Earnings Share
11.26
Revenue Per Share
38.988
Quarterly Revenue Growth
0.13
The market value of Moodys is measured differently than its book value, which is the value of Moodys that is recorded on the company's balance sheet. Investors also form their own opinion of Moodys' value that differs from its market value or its book value, called intrinsic value, which is Moodys' 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 Moodys' market value can be influenced by many factors that don't directly affect Moodys' 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 Moodys' value and its price as these two are different measures arrived at by different means. Investors typically determine if Moodys is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Moodys' 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.

Moodys 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Moodys' stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Moodys.
0.00
12/16/2024
No Change 0.00  0.0 
In 3 months and 1 day
03/16/2025
0.00
If you would invest  0.00  in Moodys on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding Moodys or generate 0.0% return on investment in Moodys over 90 days. Moodys is related to or competes with MSCI, Intercontinental, CME, Nasdaq, SP Global, and FactSet Research. Moodys Corporation operates as an integrated risk assessment firm worldwide More

Moodys Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Moodys' stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Moodys upside and downside potential and time the market with a certain degree of confidence.

Moodys Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Moodys' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Moodys' standard deviation. In reality, there are many statistical measures that can use Moodys historical prices to predict the future Moodys' volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Moodys' 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
444.75446.32447.89
Details
Intrinsic
Valuation
LowRealHigh
402.16484.36485.93
Details
Naive
Forecast
LowNextHigh
431.09432.66434.22
Details
23 Analysts
Consensus
LowTargetHigh
458.97504.36559.84
Details

Moodys Backtested Returns

Moodys has Sharpe Ratio of -0.0851, which conveys that the firm had a -0.0851 % return per unit of risk over the last 3 months. Moodys exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Moodys' Mean Deviation of 1.16, standard deviation of 1.52, and Risk Adjusted Performance of (0.08) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 1.07, which conveys a somewhat significant risk relative to the market. Moodys returns are very sensitive to returns on the market. As the market goes up or down, Moodys is expected to follow. At this point, Moodys has a negative expected return of -0.13%. Please make sure to verify Moodys' skewness, as well as the relationship between the day median price and relative strength index , to decide if Moodys performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.66  

Very good reverse predictability

Moodys has very good reverse predictability. Overlapping area represents the amount of predictability between Moodys time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Moodys price movement. The serial correlation of -0.66 indicates that around 66.0% of current Moodys price fluctuation can be explain by its past prices.
Correlation Coefficient-0.66
Spearman Rank Test-0.32
Residual Average0.0
Price Variance546.73

Moodys lagged returns against current returns

Autocorrelation, which is Moodys stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Moodys' stock expected returns. We can calculate the autocorrelation of Moodys returns to help us make a trade decision. For example, suppose you find that Moodys has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Moodys regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Moodys stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Moodys stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Moodys stock over time.
   Current vs Lagged Prices   
       Timeline  

Moodys Lagged Returns

When evaluating Moodys' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Moodys stock have on its future price. Moodys autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Moodys autocorrelation shows the relationship between Moodys stock current value and its past values and can show if there is a momentum factor associated with investing in Moodys.
   Regressed Prices   
       Timeline  

Pair Trading with Moodys

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Moodys position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Moodys will appreciate offsetting losses from the drop in the long position's value.

Moving against Moodys Stock

  0.48EG Everest GroupPairCorr
  0.45VALU Value LinePairCorr
  0.36CB ChubbPairCorr
The ability to find closely correlated positions to Moodys could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Moodys when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Moodys - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Moodys to buy it.
The correlation of Moodys is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Moodys moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Moodys moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Moodys can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Moodys offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Moodys' financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Moodys Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Moodys Stock:
Check out Moodys Correlation, Moodys Volatility and Moodys Alpha and Beta module to complement your research on Moodys.
To learn how to invest in Moodys Stock, please use our How to Invest in Moodys guide.
You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Moodys technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.
A focus of Moodys technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Moodys trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...