Power Momentum Index Fund Probability of Future Mutual Fund Price Finishing Under 12.63

MOJCX Fund  USD 14.05  0.24  1.68%   
Power Momentum's future price is the expected price of Power Momentum 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 Power Momentum Index performance during a given time horizon utilizing its historical volatility. Check out Power Momentum Backtesting, Portfolio Optimization, Power Momentum Correlation, Power Momentum Hype Analysis, Power Momentum Volatility, Power Momentum History as well as Power Momentum Performance.
  
Please specify Power Momentum's target price for which you would like Power Momentum odds to be computed.

Power Momentum Target Price Odds to finish below 12.63

The tendency of Power 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 drop to $ 12.63  or more in 90 days
 14.05 90 days 12.63 
about 1.25
Based on a normal probability distribution, the odds of Power Momentum to drop to $ 12.63  or more in 90 days from now is about 1.25 (This Power Momentum Index probability density function shows the probability of Power Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Power Momentum Index price to stay between $ 12.63  and its current price of $14.05 at the end of the 90-day period is about 84.48 .
Assuming the 90 days horizon Power Momentum has a beta of 0.24. This indicates as returns on the market go up, Power Momentum average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Power Momentum Index will be expected to be much smaller as well. Additionally Power Momentum Index has an alpha of 0.1391, implying that it can generate a 0.14 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   Power Momentum Price Density   
       Price  

Predictive Modules for Power Momentum

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Power Momentum Index. 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 Power Momentum'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
0.000.000.81
Details
Intrinsic
Valuation
LowRealHigh
0.091.712.52
Details
Naive
Forecast
LowNextHigh
13.2014.0114.82
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
13.7414.0714.40
Details

Power Momentum Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Power Momentum is not an exception. The market had few large corrections towards the Power Momentum'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 Power Momentum Index, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Power Momentum within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.14
β
Beta against Dow Jones0.24
σ
Overall volatility
0.43
Ir
Information ratio 0.06

Power Momentum Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Power Mutual Fund often depends not only on the future outlook of the current and potential Power Momentum's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Power Momentum's indicators that are reflective of the short sentiment are summarized in the table below.

Power Momentum Technical Analysis

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

Power Momentum Predictive Forecast Models

Power Momentum's time-series forecasting models is one of many Power Momentum'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 Power Momentum'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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Power Momentum in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Power Momentum's short interest history, or implied volatility extrapolated from Power Momentum options trading.

Other Information on Investing in Power Mutual Fund

Power Momentum financial ratios help investors to determine whether Power Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Power with respect to the benefits of owning Power Momentum security.
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