Dunham Dynamic Mutual Fund Forecast - Triple Exponential Smoothing

DNAVX Fund  USD 12.20  0.02  0.16%   
The Triple Exponential Smoothing forecasted value of Dunham Dynamic Macro on the next trading day is expected to be 12.20 with a mean absolute deviation of 0.04 and the sum of the absolute errors of 2.37. Dunham Mutual Fund Forecast is based on your current time horizon.
  
Most investors in Dunham Dynamic cannot accurately predict what will happen the next trading day because, historically, fund markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Dunham Dynamic's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Dunham Dynamic's price structures and extracts relationships that further increase the generated results' accuracy.
Triple exponential smoothing for Dunham Dynamic - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When Dunham Dynamic 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 trend in Dunham Dynamic price movement. However, neither of these exponential smoothing models address any seasonality of Dunham Dynamic Macro.

Dunham Dynamic Triple Exponential Smoothing Price Forecast For the 11th of June 2024

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Dunham Dynamic Macro on the next trading day is expected to be 12.20 with a mean absolute deviation of 0.04, mean absolute percentage error of 0, and the sum of the absolute errors of 2.37.
Please note that although there have been many attempts to predict Dunham 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 Dunham Dynamic's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Dunham Dynamic Mutual Fund Forecast Pattern

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Dunham Dynamic Forecasted Value

In the context of forecasting Dunham Dynamic's 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. Dunham Dynamic's downside and upside margins for the forecasting period are 11.83 and 12.58, respectively. We have considered Dunham Dynamic's 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
12.20
12.20
Expected Value
12.58
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Dunham Dynamic mutual fund data series using in forecasting. Note that when a statistical model is used to represent Dunham Dynamic 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 -0.0068
MADMean absolute deviation0.0401
MAPEMean absolute percentage error0.0033
SAESum of the absolute errors2.3671
As with simple exponential smoothing, in triple exponential smoothing models past Dunham Dynamic observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older Dunham Dynamic Macro observations.

Predictive Modules for Dunham Dynamic

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Dunham Dynamic Macro. 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 Dunham Dynamic'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
11.8312.2012.57
Details
Intrinsic
Valuation
LowRealHigh
11.7812.1512.52
Details

Other Forecasting Options for Dunham Dynamic

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

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

Dunham Dynamic Macro 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 Dunham Dynamic's 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 Dunham Dynamic's current price.

Dunham Dynamic Market Strength Events

Market strength indicators help investors to evaluate how Dunham Dynamic 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 Dunham Dynamic shares will generate the highest return on investment. By undertsting and applying Dunham Dynamic mutual fund market strength indicators, traders can identify Dunham Dynamic Macro entry and exit signals to maximize returns.

Dunham Dynamic Risk Indicators

The analysis of Dunham Dynamic's 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 Dunham Dynamic's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting dunham 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 Dunham Mutual Fund

Dunham Dynamic financial ratios help investors to determine whether Dunham 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 Dunham with respect to the benefits of owning Dunham Dynamic security.
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