251526CS6 Forecast - Polynomial Regression

251526CS6   103.72  0.60  0.58%   
The Polynomial Regression forecasted value of DB 672 18 JAN 29 on the next trading day is expected to be 102.91 with a mean absolute deviation of 0.33 and the sum of the absolute errors of 20.54. 251526CS6 Bond Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast 251526CS6 stock prices and determine the direction of DB 672 18 JAN 29's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of 251526CS6's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
251526CS6 polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for DB 672 18 JAN 29 as well as the accuracy indicators are determined from the period prices.

251526CS6 Polynomial Regression Price Forecast For the 27th of November

Given 90 days horizon, the Polynomial Regression forecasted value of DB 672 18 JAN 29 on the next trading day is expected to be 102.91 with a mean absolute deviation of 0.33, mean absolute percentage error of 0.32, and the sum of the absolute errors of 20.54.
Please note that although there have been many attempts to predict 251526CS6 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 251526CS6's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

251526CS6 Bond Forecast Pattern

251526CS6 Forecasted Value

In the context of forecasting 251526CS6'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. 251526CS6's downside and upside margins for the forecasting period are 102.69 and 103.12, respectively. We have considered 251526CS6'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
103.72
102.69
Downside
102.91
Expected Value
103.12
Upside

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 251526CS6 bond data series using in forecasting. Note that when a statistical model is used to represent 251526CS6 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 Criteria118.8006
BiasArithmetic mean of the errors None
MADMean absolute deviation0.3313
MAPEMean absolute percentage error0.0032
SAESum of the absolute errors20.5418
A single variable polynomial regression model attempts to put a curve through the 251526CS6 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 251526CS6

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as DB 672 18. 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
103.51103.72103.93
Details
Intrinsic
Valuation
LowRealHigh
103.32103.53103.74
Details

Other Forecasting Options for 251526CS6

For every potential investor in 251526CS6, whether a beginner or expert, 251526CS6's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 251526CS6 Bond price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 251526CS6. Basic forecasting techniques help filter out the noise by identifying 251526CS6's price trends.

251526CS6 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 251526CS6 bond to make a market-neutral strategy. Peer analysis of 251526CS6 could also be used in its relative valuation, which is a method of valuing 251526CS6 by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

DB 672 18 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 251526CS6'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 251526CS6's current price.

251526CS6 Market Strength Events

Market strength indicators help investors to evaluate how 251526CS6 bond reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading 251526CS6 shares will generate the highest return on investment. By undertsting and applying 251526CS6 bond market strength indicators, traders can identify DB 672 18 JAN 29 entry and exit signals to maximize returns.

251526CS6 Risk Indicators

The analysis of 251526CS6'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 251526CS6's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 251526cs6 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 DB 672 18 JAN 29 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 251526CS6 Bond

251526CS6 financial ratios help investors to determine whether 251526CS6 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 251526CS6 with respect to the benefits of owning 251526CS6 security.