Loomis Sayles Mutual Fund Forecast - Simple Exponential Smoothing

Loomis Mutual Fund Forecast is based on your current time horizon.
  
Loomis Sayles simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Loomis Sayles Global are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Loomis Sayles Global prices get older.
This simple exponential smoothing model begins by setting Loomis Sayles Global forecast for the second period equal to the observation of the first period. In other words, recent Loomis Sayles observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Loomis Sayles

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Loomis Sayles Global. 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
14.8715.0815.29
Details
Intrinsic
Valuation
LowRealHigh
14.8615.0715.28
Details
Bollinger
Band Projection (param)
LowMiddleHigh
14.9215.0315.15
Details

Loomis Sayles Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Loomis Sayles mutual fund to make a market-neutral strategy. Peer analysis of Loomis Sayles could also be used in its relative valuation, which is a method of valuing Loomis Sayles by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Loomis Sayles Risk Indicators

The analysis of Loomis Sayles' basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Loomis Sayles' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting loomis mutual fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in Loomis Mutual Fund

Loomis Sayles financial ratios help investors to determine whether Loomis 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 Loomis with respect to the benefits of owning Loomis Sayles security.
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