Optimum Fixed Mutual Fund Forecast - Simple Regression

OIFIX Fund  USD 8.14  0.34  4.01%   
The Simple Regression forecasted value of Optimum Fixed Income on the next trading day is expected to be 8.32 with a mean absolute deviation of 0.06 and the sum of the absolute errors of 3.92. Optimum Mutual Fund Forecast is based on your current time horizon.
  
Simple Regression model is a single variable regression model that attempts to put a straight line through Optimum Fixed price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Optimum Fixed Simple Regression Price Forecast For the 13th of December 2024

Given 90 days horizon, the Simple Regression forecasted value of Optimum Fixed Income on the next trading day is expected to be 8.32 with a mean absolute deviation of 0.06, mean absolute percentage error of 0.01, and the sum of the absolute errors of 3.92.
Please note that although there have been many attempts to predict Optimum 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 Optimum Fixed's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Optimum Fixed Mutual Fund Forecast Pattern

Backtest Optimum FixedOptimum Fixed Price PredictionBuy or Sell Advice 

Optimum Fixed Forecasted Value

In the context of forecasting Optimum Fixed'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. Optimum Fixed's downside and upside margins for the forecasting period are 7.74 and 8.91, respectively. We have considered Optimum Fixed'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
8.14
8.32
Expected Value
8.91
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of Optimum Fixed mutual fund data series using in forecasting. Note that when a statistical model is used to represent Optimum Fixed 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 Criteria112.9961
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0643
MAPEMean absolute percentage error0.0076
SAESum of the absolute errors3.9222
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Optimum Fixed Income historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for Optimum Fixed

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Optimum Fixed Income. 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
7.568.148.72
Details
Intrinsic
Valuation
LowRealHigh
7.628.208.78
Details

Other Forecasting Options for Optimum Fixed

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

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

Optimum Fixed Income 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 Optimum Fixed'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 Optimum Fixed's current price.

Optimum Fixed Market Strength Events

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

Optimum Fixed Risk Indicators

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

Optimum Fixed financial ratios help investors to determine whether Optimum 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 Optimum with respect to the benefits of owning Optimum Fixed security.
My Watchlist Analysis
Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like
Stock Tickers
Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites
Economic Indicators
Top statistical indicators that provide insights into how an economy is performing
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk