Locorr Market Trend Fund Probability of Future Mutual Fund Price Finishing Under 11.51

LOTCX Fund  USD 12.17  0.03  0.25%   
Locorr Market's future price is the expected price of Locorr Market 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 Locorr Market Trend performance during a given time horizon utilizing its historical volatility. Check out Locorr Market Backtesting, Portfolio Optimization, Locorr Market Correlation, Locorr Market Hype Analysis, Locorr Market Volatility, Locorr Market History as well as Locorr Market Performance.
  
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Locorr Market Target Price Odds to finish below 11.51

The tendency of Locorr 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 $ 11.51  or more in 90 days
 12.17 90 days 11.51 
roughly 2.21
Based on a normal probability distribution, the odds of Locorr Market to drop to $ 11.51  or more in 90 days from now is roughly 2.21 (This Locorr Market Trend probability density function shows the probability of Locorr Mutual Fund to fall within a particular range of prices over 90 days) . Probability of Locorr Market Trend price to stay between $ 11.51  and its current price of $12.17 at the end of the 90-day period is about 64.88 .
Assuming the 90 days horizon Locorr Market has a beta of 0.11. This indicates as returns on the market go up, Locorr Market average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Locorr Market Trend will be expected to be much smaller as well. Additionally Locorr Market Trend has an alpha of 0.0683, implying that it can generate a 0.0683 percent excess return over NYSE Composite after adjusting for the inherited market risk (beta).
   Locorr Market Price Density   
       Price  

Predictive Modules for Locorr Market

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Locorr Market Trend. 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 Locorr Market'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
11.5412.1712.80
Details
Intrinsic
Valuation
LowRealHigh
11.4812.1112.74
Details
Naive
Forecast
LowNextHigh
11.3812.0112.64
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
11.8812.1812.48
Details

Locorr Market Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Locorr Market is not an exception. The market had few large corrections towards the Locorr Market'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 Locorr Market Trend, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Locorr Market within the framework of very fundamental risk indicators.
α
Alpha over NYSE Composite
0.07
β
Beta against NYSE Composite0.11
σ
Overall volatility
0.27
Ir
Information ratio 0.07

Locorr Market 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 Locorr Market for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Locorr Market Trend 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 214.47% of its assets in cash

Locorr Market Technical Analysis

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

Locorr Market Predictive Forecast Models

Locorr Market's time-series forecasting models is one of many Locorr Market'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 Locorr Market'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.
Naive Prediction
Simple Exponential Smoothing
Double Exponential Smoothing
Triple Exponential Smoothing
Simple Regression
Polynomial Regression
Simple Moving Average
4 Period Moving Average
8 Period Moving Average
20 Period Moving Average //window.location = "/error404.html";