Invesco Low Volatility Fund Probability of Future Mutual Fund Price Finishing Over 10.51

SLESX Fund  USD 10.51  0.09  0.86%   
Invesco Low's future price is the expected price of Invesco Low instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Invesco Low Volatility performance during a given time horizon utilizing its historical volatility. Check out Invesco Low Backtesting, Portfolio Optimization, Invesco Low Correlation, Invesco Low Hype Analysis, Invesco Low Volatility, Invesco Low History as well as Invesco Low Performance.
  
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Invesco Low Target Price Odds to finish over 10.51

The tendency of Invesco Mutual Fund price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to move above the current price in 90 days
 10.51 90 days 10.51 
about 37.92
Based on a normal probability distribution, the odds of Invesco Low to move above the current price in 90 days from now is about 37.92 (This Invesco Low Volatility probability density function shows the probability of Invesco Mutual Fund to fall within a particular range of prices over 90 days) .
Assuming the 90 days horizon Invesco Low has a beta of 0.1. This usually implies as returns on the market go up, Invesco Low average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Invesco Low Volatility will be expected to be much smaller as well. Additionally Invesco Low Volatility has an alpha of 0.0271, implying that it can generate a 0.0271 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta).
   Invesco Low Price Density   
       Price  

Predictive Modules for Invesco Low

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Invesco Low Volatility. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Invesco Low's 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
9.9910.5111.03
Details
Intrinsic
Valuation
LowRealHigh
9.9810.5011.02
Details
Naive
Forecast
LowNextHigh
10.1010.6211.14
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
10.3310.4410.56
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Invesco Low. Your research has to be compared to or analyzed against Invesco Low's peers to derive any actionable benefits. When done correctly, Invesco Low's 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 Invesco Low Volatility.

Invesco Low Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Invesco Low is not an exception. The market had few large corrections towards the Invesco Low's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Invesco Low Volatility, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Invesco Low within the framework of very fundamental risk indicators.
α
Alpha over NYSE Composite
0.03
β
Beta against NYSE Composite0.10
σ
Overall volatility
0.13
Ir
Information ratio -0.07

Invesco Low Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Invesco Low for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Invesco Low Volatility can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
The fund maintains about 47.77% of its assets in cash

Invesco Low Technical Analysis

Invesco Low's future price can be derived by breaking down and analyzing its technical indicators over time. Invesco Mutual Fund technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Invesco Low Volatility. In general, you should focus on analyzing Invesco Mutual Fund price patterns and their correlations with different microeconomic environments and drivers.

Invesco Low Predictive Forecast Models

Invesco Low's time-series forecasting models is one of many Invesco Low's mutual fund analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are 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. This non-stationary Invesco Low's 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 mutual fund market movement and maximize returns from investment trading.

Things to note about Invesco Low Volatility

Checking the ongoing alerts about Invesco Low for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Invesco Low Volatility help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
The fund maintains about 47.77% of its assets in cash
Check out Invesco Low Backtesting, Portfolio Optimization, Invesco Low Correlation, Invesco Low Hype Analysis, Invesco Low Volatility, Invesco Low History as well as Invesco Low Performance.
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Please note, there is a significant difference between Invesco Low's value and its price as these two are different measures arrived at by different means. Investors typically determine if Invesco Low is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Invesco Low's 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.