Short Term Money Market Fund Forecast - Polynomial Regression

SRIXXDelisted Fund  USD 1.00  0.00  0.00%   
The Polynomial Regression forecasted value of Short Term Investment Trust on the next trading day is expected to be 1.00 with a mean absolute deviation of 0 and the sum of the absolute errors of 0.09. Short Money Market Fund Forecast is based on your current time horizon.
  
Short Term polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Short Term Investment Trust as well as the accuracy indicators are determined from the period prices.

Short Term Polynomial Regression Price Forecast For the 28th of November

Given 90 days horizon, the Polynomial Regression forecasted value of Short Term Investment Trust on the next trading day is expected to be 1.00 with a mean absolute deviation of 0, mean absolute percentage error of 0.00000401, and the sum of the absolute errors of 0.09.
Please note that although there have been many attempts to predict Short Money Market 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 Short Term's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Short Term Money Market Fund Forecast Pattern

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Short Term money market fund data series using in forecasting. Note that when a statistical model is used to represent Short Term money market 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 Criteria105.6842
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0015
MAPEMean absolute percentage error0.0015
SAESum of the absolute errors0.0895
A single variable polynomial regression model attempts to put a curve through the Short Term historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Predictive Modules for Short Term

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Short Term Investment. Regardless of method or technology, however, to accurately forecast the money market fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the money market 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 Short Term'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
1.001.001.00
Details
Intrinsic
Valuation
LowRealHigh
0.920.921.10
Details

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

Short Term Market Strength Events

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

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.
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any money market fund could be closely tied with the direction of predictive economic indicators such as signals in interest.
You can also try the Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.

Other Consideration for investing in Short Money Market Fund

If you are still planning to invest in Short Term Investment check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Short Term's history and understand the potential risks before investing.
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