Moodys Stock Statistic Functions Linear Regression Intercept

MCO Stock  USD 375.18  6.03  1.58%   
Moodys statistic functions tool provides the execution environment for running the Linear Regression Intercept function and other technical functions against Moodys. Moodys value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Linear Regression Intercept function function is designed to identify and follow existing trends. Moodys statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

Function
Time Period
Execute Function
The output start index for this execution was fourty-one with a total number of output elements of twenty. The Linear Regression Intercept is the expected mean value of Moodys price seriese where values of its benchmark or peer price series are zero.

Moodys Technical Analysis Modules

Most technical analysis of Moodys help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Moodys from various momentum indicators to cycle indicators. When you analyze Moodys charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.

About Moodys Predictive Technical Analysis

Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Moodys. We use our internally-developed statistical techniques to arrive at the intrinsic value of Moodys based on widely used predictive technical indicators. In general, we focus on analyzing Moodys Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Moodys's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Moodys's intrinsic value. In addition to deriving basic predictive indicators for Moodys, we also check how macroeconomic factors affect Moodys price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
 2021 2022 2023 2024 (projected)
Dividend Yield0.006360.01010.0078830.0125
Price To Sales Ratio11.719.3712.0912.7
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
373.71375.19376.67
Details
Intrinsic
Valuation
LowRealHigh
372.05373.53412.70
Details
Naive
Forecast
LowNextHigh
381.56383.04384.53
Details
21 Analysts
Consensus
LowTargetHigh
333.97367.00407.37
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Moodys. Your research has to be compared to or analyzed against Moodys' peers to derive any actionable benefits. When done correctly, Moodys' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Moodys.

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Moodys pair trading

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.

Moodys Pair Trading

Moodys Pair Trading Analysis

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 Correlation Analysis to better understand how to build diversified portfolios, which includes a position in Moodys. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators.
To learn how to invest in Moodys Stock, please use our How to Invest in Moodys guide.
Note that the Moodys information on this page should be used as a complementary analysis to other Moodys' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.

Complementary Tools for Moodys Stock analysis

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.
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Is Moodys' industry 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
0.382
Dividend Share
3.08
Earnings Share
8.73
Revenue Per Share
32.293
Quarterly Revenue Growth
0.147
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.