Beta

The Beta Fundamental Analysis lookup allows you to check this and other indicators for any equity instrument. You can also select from a set of available indicators by clicking on the link to the right. Please note, this module does not cover all equities due to inconsistencies in global equity categorizations. Please continue to Equity Screeners to view more equity screening tools.
  
In a nutshell, Beta is a measure of individual stock risk relative to the overall volatility of the stock market. and is calculated based on very sound finance theory - Capital Assets Pricing Model (CAPM).However, since Beta is calculated based on historical price movements it may not predict how a firm's stock is going to perform in the future.

Beta

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Covariance

Variance

Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of an equity instrument to the financial market in which this instrument is traded. For example, if Beta of equity is 2, it is expected to significantly outperform market when the market is going up and significantly underperform when the market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns over time.

Beta In A Nutshell

If you’re looking to measure risk, Beta is the Greek data point you want to use. When building a portfolio or looking at ETF products, a good way to judge how the risk factor may be is to compare Beta levels. If you want a portfolio that tracks the market, then you want it to be closer to 1, but if you are looking for more volatility, then you can exceed the 1 market for greater movements when the market moves.

Beta is the measurement of how an equity or product moves with the underlying instrument it is attached with. Beta is measured as follows, if a product has a Beta of 1 or above, than the product is more volatile, but if it falls below 1, it will be less volatile. When a Beta is at 1, that means it will move in rhythm with the asset it is tied with. For example, the ETF ticker SPY that follows the S&P 500 will have a Beta near 1 because it is supposed to follow the S&P 500 Index. Conversely, if you invest in an inverse ETF, it will likely be near a 0 Beta because it moves in the opposite direction of the market it is intended to follow.

Closer Look at Beta

There are other means to measure risk such as fundamental analysis, which can give you insight to any issues that could b arising. Also, you can just look and analyze a chart using indicators and technical analysis to determine the possible risk at your point of entry. Not only is there Beta, but there are many other Greek symbols that can be used, but be sure to read up on what each one means. If you ever get stuck, reach out to an investing community and then can help to explain it and help you through any misunderstandings.

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Pair Trading with Investor Education

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 Investor Education 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 Investor Education will appreciate offsetting losses from the drop in the long position's value.
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
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any private could be closely tied with the direction of predictive economic indicators such as signals in estimate.
You can also try the Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..

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