30321L2E1 Forecast - Naive Prediction

30321L2E1   97.90  2.17  2.17%   
The Naive Prediction forecasted value of FG 515 07 JUL 25 on the next trading day is expected to be 96.65 with a mean absolute deviation of 0.24 and the sum of the absolute errors of 14.68. 30321L2E1 Bond Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast 30321L2E1 stock prices and determine the direction of FG 515 07 JUL 25's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of 30321L2E1's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
A naive forecasting model for 30321L2E1 is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of FG 515 07 JUL 25 value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

30321L2E1 Naive Prediction Price Forecast For the 2nd of December

Given 90 days horizon, the Naive Prediction forecasted value of FG 515 07 JUL 25 on the next trading day is expected to be 96.65 with a mean absolute deviation of 0.24, mean absolute percentage error of 0.12, and the sum of the absolute errors of 14.68.
Please note that although there have been many attempts to predict 30321L2E1 Bond 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 30321L2E1's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

30321L2E1 Bond Forecast Pattern

30321L2E1 Forecasted Value

In the context of forecasting 30321L2E1's Bond 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. 30321L2E1's downside and upside margins for the forecasting period are 96.08 and 97.22, respectively. We have considered 30321L2E1'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
97.90
96.65
Expected Value
97.22
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of 30321L2E1 bond data series using in forecasting. Note that when a statistical model is used to represent 30321L2E1 bond, 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 Criteria117.7929
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2367
MAPEMean absolute percentage error0.0024
SAESum of the absolute errors14.6771
This model is not at all useful as a medium-long range forecasting tool of FG 515 07 JUL 25. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict 30321L2E1. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for 30321L2E1

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FG 515 07. Regardless of method or technology, however, to accurately forecast the bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the bond 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
97.3397.9098.47
Details
Intrinsic
Valuation
LowRealHigh
87.9888.55107.69
Details
Bollinger
Band Projection (param)
LowMiddleHigh
97.3299.49101.66
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as 30321L2E1. Your research has to be compared to or analyzed against 30321L2E1's peers to derive any actionable benefits. When done correctly, 30321L2E1's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in FG 515 07.

Other Forecasting Options for 30321L2E1

For every potential investor in 30321L2E1, whether a beginner or expert, 30321L2E1's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 30321L2E1 Bond price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 30321L2E1. Basic forecasting techniques help filter out the noise by identifying 30321L2E1's price trends.

30321L2E1 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 30321L2E1 bond to make a market-neutral strategy. Peer analysis of 30321L2E1 could also be used in its relative valuation, which is a method of valuing 30321L2E1 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

FG 515 07 Technical and Predictive Analytics

The bond market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of 30321L2E1'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 30321L2E1's current price.

30321L2E1 Market Strength Events

Market strength indicators help investors to evaluate how 30321L2E1 bond reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading 30321L2E1 shares will generate the highest return on investment. By undertsting and applying 30321L2E1 bond market strength indicators, traders can identify FG 515 07 JUL 25 entry and exit signals to maximize returns.

30321L2E1 Risk Indicators

The analysis of 30321L2E1'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 30321L2E1's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 30321l2e1 bond 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. One of the essential factors to consider when estimating the risk of default for a bond instrument is its duration, which is the bond's price sensitivity to changes in interest rates. The duration of FG 515 07 JUL 25 bond is primarily affected by its yield, coupon rate, and time to maturity. The duration of a bond will be higher the lower its coupon, lower its yield, and longer the time left to maturity.
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 30321L2E1 Bond

30321L2E1 financial ratios help investors to determine whether 30321L2E1 Bond 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 30321L2E1 with respect to the benefits of owning 30321L2E1 security.