Active Portfolios Multi Manager Fund Probability of Future Mutual Fund Price Finishing Under 8.63

CTRZX Fund  USD 8.50  0.03  0.35%   
Active Portfolios' future price is the expected price of Active Portfolios 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 Active Portfolios Multi Manager performance during a given time horizon utilizing its historical volatility. Check out Active Portfolios Backtesting, Portfolio Optimization, Active Portfolios Correlation, Active Portfolios Hype Analysis, Active Portfolios Volatility, Active Portfolios History as well as Active Portfolios Performance.
  
Please specify Active Portfolios' target price for which you would like Active Portfolios odds to be computed.

Active Portfolios Target Price Odds to finish below 8.63

The tendency of Active 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 stay under $ 8.63  after 90 days
 8.50 90 days 8.63 
about 32.63
Based on a normal probability distribution, the odds of Active Portfolios to stay under $ 8.63  after 90 days from now is about 32.63 (This Active Portfolios Multi Manager probability density function shows the probability of Active Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Active Portfolios Multi price to stay between its current price of $ 8.50  and $ 8.63  at the end of the 90-day period is about 29.99 .
Assuming the 90 days horizon Active Portfolios has a beta of 0.0286 suggesting as returns on the market go up, Active Portfolios average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Active Portfolios Multi Manager will be expected to be much smaller as well. Additionally Active Portfolios Multi Manager has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   Active Portfolios Price Density   
       Price  

Predictive Modules for Active Portfolios

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Active Portfolios Multi. 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.
Hype
Prediction
LowEstimatedHigh
8.188.508.82
Details
Intrinsic
Valuation
LowRealHigh
8.238.558.87
Details
Naive
Forecast
LowNextHigh
8.068.388.71
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
7.828.629.43
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Active Portfolios. Your research has to be compared to or analyzed against Active Portfolios' peers to derive any actionable benefits. When done correctly, Active Portfolios' 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 Active Portfolios Multi.

Active Portfolios Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Active Portfolios is not an exception. The market had few large corrections towards the Active Portfolios' 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 Active Portfolios Multi Manager, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Active Portfolios within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.07
β
Beta against Dow Jones0.03
σ
Overall volatility
0.09
Ir
Information ratio -0.33

Active Portfolios 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 Active Portfolios for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Active Portfolios Multi can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Active Portfolios generated a negative expected return over the last 90 days
Latest headline from news.google.com: New York City mayors campaign denied millions in public matching funds - POLITICO
The fund generated three year return of -2.0%
Active Portfolios Multi holds about 11.19% of its assets under management (AUM) in cash

Active Portfolios Technical Analysis

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

Active Portfolios Predictive Forecast Models

Active Portfolios' time-series forecasting models is one of many Active Portfolios' 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 Active Portfolios' 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 Active Portfolios Multi

Checking the ongoing alerts about Active Portfolios for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Active Portfolios Multi help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Active Portfolios generated a negative expected return over the last 90 days
Latest headline from news.google.com: New York City mayors campaign denied millions in public matching funds - POLITICO
The fund generated three year return of -2.0%
Active Portfolios Multi holds about 11.19% of its assets under management (AUM) in cash

Other Information on Investing in Active Mutual Fund

Active Portfolios financial ratios help investors to determine whether Active 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 Active with respect to the benefits of owning Active Portfolios security.
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