209111GC1 Forecast - Polynomial Regression
| 209111GC1 | 68.85 1.76 2.62% |
The Polynomial Regression forecasted value of ED 32 01 DEC 51 on the next trading day is expected to be 69.78 with a mean absolute deviation of 1.00 and the sum of the absolute errors of 62.28. 209111GC1 Bond Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast 209111GC1 stock prices and determine the direction of ED 32 01 DEC 51's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of 209111GC1's historical fundamentals, such as revenue growth or operating cash flow patterns.
209111GC1 |
209111GC1 Polynomial Regression Price Forecast For the 27th of November
Given 90 days horizon, the Polynomial Regression forecasted value of ED 32 01 DEC 51 on the next trading day is expected to be 69.78 with a mean absolute deviation of 1.00, mean absolute percentage error of 2.57, and the sum of the absolute errors of 62.28.Please note that although there have been many attempts to predict 209111GC1 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 209111GC1's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
209111GC1 Bond Forecast Pattern
209111GC1 Forecasted Value
In the context of forecasting 209111GC1'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. 209111GC1's downside and upside margins for the forecasting period are 67.14 and 72.42, respectively. We have considered 209111GC1'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.
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 209111GC1 bond data series using in forecasting. Note that when a statistical model is used to represent 209111GC1 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.| AIC | Akaike Information Criteria | 120.8909 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.0045 |
| MAPE | Mean absolute percentage error | 0.0142 |
| SAE | Sum of the absolute errors | 62.2786 |
Predictive Modules for 209111GC1
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as 209111GC1. 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.Other Forecasting Options for 209111GC1
For every potential investor in 209111GC1, whether a beginner or expert, 209111GC1's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 209111GC1 Bond price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 209111GC1. Basic forecasting techniques help filter out the noise by identifying 209111GC1's price trends.209111GC1 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 209111GC1 bond to make a market-neutral strategy. Peer analysis of 209111GC1 could also be used in its relative valuation, which is a method of valuing 209111GC1 by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
209111GC1 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 209111GC1'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 209111GC1's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
209111GC1 Market Strength Events
Market strength indicators help investors to evaluate how 209111GC1 bond reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading 209111GC1 shares will generate the highest return on investment. By undertsting and applying 209111GC1 bond market strength indicators, traders can identify ED 32 01 DEC 51 entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.03 | |||
| Day Median Price | 68.85 | |||
| Day Typical Price | 68.85 | |||
| Price Action Indicator | 0.88 | |||
| Period Momentum Indicator | 1.76 |
209111GC1 Risk Indicators
The analysis of 209111GC1'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 209111GC1's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 209111gc1 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 ED 32 01 DEC 51 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.
| Mean Deviation | 1.1 | |||
| Semi Deviation | 2.47 | |||
| Standard Deviation | 2.99 | |||
| Variance | 8.93 | |||
| Downside Variance | 7.53 | |||
| Semi Variance | 6.08 | |||
| Expected Short fall | (1.19) |
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 209111GC1 Bond
209111GC1 financial ratios help investors to determine whether 209111GC1 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 209111GC1 with respect to the benefits of owning 209111GC1 security.