Preferred Securities Mutual Fund Forecast - Double Exponential Smoothing

PPSIX Fund  USD 9.25  0.02  0.22%   
The Double Exponential Smoothing forecasted value of Preferred Securities Fund on the next trading day is expected to be 9.25 with a mean absolute deviation of 0.01 and the sum of the absolute errors of 0.54. Preferred Mutual Fund Forecast is based on your current time horizon.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Preferred Securities works best with periods where there are trends or seasonality.

Preferred Securities Double Exponential Smoothing Price Forecast For the 1st of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Preferred Securities Fund on the next trading day is expected to be 9.25 with a mean absolute deviation of 0.01, mean absolute percentage error of 0.0002, and the sum of the absolute errors of 0.54.
Please note that although there have been many attempts to predict Preferred Mutual Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Preferred Securities' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Preferred Securities Mutual Fund Forecast Pattern

Backtest Preferred SecuritiesPreferred Securities Price PredictionBuy or Sell Advice 

Preferred Securities Forecasted Value

In the context of forecasting Preferred Securities' Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Preferred Securities' downside and upside margins for the forecasting period are 9.12 and 9.38, respectively. We have considered Preferred Securities' daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
9.25
9.25
Expected Value
9.38
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Preferred Securities mutual fund data series using in forecasting. Note that when a statistical model is used to represent Preferred Securities mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.0019
MADMean absolute deviation0.0091
MAPEMean absolute percentage error0.001
SAESum of the absolute errors0.5394
When Preferred Securities Fund prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Preferred Securities Fund trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Preferred Securities observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Preferred Securities

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Preferred Securities. 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
9.129.259.38
Details
Intrinsic
Valuation
LowRealHigh
8.388.5110.18
Details

Other Forecasting Options for Preferred Securities

For every potential investor in Preferred, whether a beginner or expert, Preferred Securities' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Preferred Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Preferred. Basic forecasting techniques help filter out the noise by identifying Preferred Securities' price trends.

Preferred Securities 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 Preferred Securities mutual fund to make a market-neutral strategy. Peer analysis of Preferred Securities could also be used in its relative valuation, which is a method of valuing Preferred Securities by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Preferred Securities Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Preferred Securities' price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Preferred Securities' current price.

Preferred Securities Market Strength Events

Market strength indicators help investors to evaluate how Preferred Securities mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Preferred Securities shares will generate the highest return on investment. By undertsting and applying Preferred Securities mutual fund market strength indicators, traders can identify Preferred Securities Fund entry and exit signals to maximize returns.

Preferred Securities Risk Indicators

The analysis of Preferred Securities' 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 Preferred Securities' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting preferred 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 Preferred Mutual Fund

Preferred Securities financial ratios help investors to determine whether Preferred 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 Preferred with respect to the benefits of owning Preferred Securities security.
Portfolio Diagnostics
Use generated alerts and portfolio events aggregator to diagnose current holdings
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals
Share Portfolio
Track or share privately all of your investments from the convenience of any device
Portfolio Anywhere
Track or share privately all of your investments from the convenience of any device