871829BR7 Forecast - 8 Period Moving Average
| 871829BR7 | 68.43 0.00 0.00% |
The 8 Period Moving Average forecasted value of SYY 315 14 DEC 51 on the next trading day is expected to be 65.85 with a mean absolute deviation of 1.07 and the sum of the absolute errors of 57.99. 871829BR7 Bond Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast 871829BR7 stock prices and determine the direction of SYY 315 14 DEC 51's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of 871829BR7's historical fundamentals, such as revenue growth or operating cash flow patterns.
871829BR7 |
871829BR7 8 Period Moving Average Price Forecast For the 5th of December
Given 90 days horizon, the 8 Period Moving Average forecasted value of SYY 315 14 DEC 51 on the next trading day is expected to be 65.85 with a mean absolute deviation of 1.07, mean absolute percentage error of 2.62, and the sum of the absolute errors of 57.99.Please note that although there have been many attempts to predict 871829BR7 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 871829BR7's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
871829BR7 Bond Forecast Pattern
871829BR7 Forecasted Value
In the context of forecasting 871829BR7'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. 871829BR7's downside and upside margins for the forecasting period are 65.02 and 66.68, respectively. We have considered 871829BR7'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 8 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of 871829BR7 bond data series using in forecasting. Note that when a statistical model is used to represent 871829BR7 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 | 106.2104 |
| Bias | Arithmetic mean of the errors | 0.392 |
| MAD | Mean absolute deviation | 1.0739 |
| MAPE | Mean absolute percentage error | 0.0163 |
| SAE | Sum of the absolute errors | 57.9888 |
Predictive Modules for 871829BR7
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SYY 315 14. 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 871829BR7
For every potential investor in 871829BR7, whether a beginner or expert, 871829BR7's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. 871829BR7 Bond price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in 871829BR7. Basic forecasting techniques help filter out the noise by identifying 871829BR7's price trends.871829BR7 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 871829BR7 bond to make a market-neutral strategy. Peer analysis of 871829BR7 could also be used in its relative valuation, which is a method of valuing 871829BR7 by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
SYY 315 14 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 871829BR7'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 871829BR7's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
871829BR7 Market Strength Events
Market strength indicators help investors to evaluate how 871829BR7 bond reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading 871829BR7 shares will generate the highest return on investment. By undertsting and applying 871829BR7 bond market strength indicators, traders can identify SYY 315 14 DEC 51 entry and exit signals to maximize returns.
871829BR7 Risk Indicators
The analysis of 871829BR7'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 871829BR7's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting 871829br7 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 SYY 315 14 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 | 1.2 | |||
| Semi Deviation | 2.05 | |||
| Standard Deviation | 2.72 | |||
| Variance | 7.42 | |||
| Downside Variance | 4.47 | |||
| Semi Variance | 4.2 | |||
| Expected Short fall | (1.33) |
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 871829BR7 Bond
871829BR7 financial ratios help investors to determine whether 871829BR7 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 871829BR7 with respect to the benefits of owning 871829BR7 security.