GOLDMAN Forecast - Double Exponential Smoothing

38141GVR2   98.19  1.19  1.20%   
The Double Exponential Smoothing forecasted value of GOLDMAN SACHS GROUP on the next trading day is expected to be 98.08 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.89. GOLDMAN Bond Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast GOLDMAN stock prices and determine the direction of GOLDMAN SACHS GROUP's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of GOLDMAN's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for GOLDMAN works best with periods where there are trends or seasonality.

GOLDMAN Double Exponential Smoothing Price Forecast For the 24th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of GOLDMAN SACHS GROUP on the next trading day is expected to be 98.08 with a mean absolute deviation of 0.21, mean absolute percentage error of 0.13, and the sum of the absolute errors of 12.89.
Please note that although there have been many attempts to predict GOLDMAN 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 GOLDMAN's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

GOLDMAN Bond Forecast Pattern

Backtest GOLDMANGOLDMAN Price PredictionBuy or Sell Advice 

GOLDMAN Forecasted Value

In the context of forecasting GOLDMAN'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. GOLDMAN's downside and upside margins for the forecasting period are 97.81 and 98.35, respectively. We have considered GOLDMAN'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
98.19
98.08
Expected Value
98.35
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of GOLDMAN bond data series using in forecasting. Note that when a statistical model is used to represent GOLDMAN 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 CriteriaHuge
BiasArithmetic mean of the errors 0.0103
MADMean absolute deviation0.2148
MAPEMean absolute percentage error0.0022
SAESum of the absolute errors12.8881
When GOLDMAN SACHS GROUP prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any GOLDMAN SACHS GROUP trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent GOLDMAN observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for GOLDMAN

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GOLDMAN SACHS GROUP. 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
97.9298.1998.46
Details
Intrinsic
Valuation
LowRealHigh
97.9898.2498.51
Details
Bollinger
Band Projection (param)
LowMiddleHigh
97.7798.2098.63
Details

Other Forecasting Options for GOLDMAN

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

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

GOLDMAN SACHS GROUP 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 GOLDMAN'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 GOLDMAN's current price.

GOLDMAN Market Strength Events

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

GOLDMAN Risk Indicators

The analysis of GOLDMAN'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 GOLDMAN's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting goldman 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 GOLDMAN SACHS GROUP 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 GOLDMAN Bond

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