Jensen Alpha Indicator

Investors can use prediction functions to forecast Investor Education private prices and determine the direction of financial instruments such as stocks, funds, or ETFs's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
  

Jensen Alpha In A Nutshell

Let us use this in an example. You are searching funds and find two that are the same return and other stats. Using the Jensen Alpha, you may be able to see which one is taking on less risk to obtain those returns compared to the other that may be using more risk to generate those returns. That means one may have greater volatility and many investor attempt to eliminate that aspect of the portfolio.

Alpha is the measure of return for a given equity, portfolio, or investment. This data point is what we want to maximize without increasing factors such as risk or cost. Jensen Alpha measures return but takes into account a risk-adjusted aspect of the alpha. Using this alpha will also utilize CAPM and take into account the product or portfolio beta number. Beta is the correlation to the underlying market and how it reacts, with a 1 being a lock step with the underlying.

Closer Look at Jensen Alpha

Everybody looks at returns and the factors that go into them individually, but we all are searching for the same. Less risk for greater returns. Jensen Alpha helps to take into account the risk aspect but that doesn’t mean it is the stopping point, but merely a directional indicator. Look at fundamentals and historical performance to gain a better understand and what you can expect going forward.

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 Vulcan Materials could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Vulcan Materials 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 Vulcan Materials - 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 Vulcan Materials to buy it.
The correlation of Vulcan Materials 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 Vulcan Materials moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Vulcan Materials 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 Vulcan Materials 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.

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