The 4 Period Moving Average forecasted value of VETIVA BANKING ETF on the next trading day is expected to be 12.70 with a mean absolute deviation of 0.21 and the sum of the absolute errors of 12.03. Investors can use prediction functions to forecast VETIVA BANKING's etf prices and determine the direction of VETIVA BANKING ETF's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.
VETIVA
A four-period moving average forecast model for VETIVA BANKING ETF is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.
VETIVA BANKING 4 Period Moving Average Price Forecast For the 27th of March
Given 90 days horizon, the 4 Period Moving Average forecasted value of VETIVA BANKING ETF on the next trading day is expected to be 12.70 with a mean absolute deviation of 0.21, mean absolute percentage error of 0.12, and the sum of the absolute errors of 12.03.
Please note that although there have been many attempts to predict VETIVA Etf 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 VETIVA BANKING's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
VETIVA BANKING Etf Forecast Pattern
VETIVA BANKING Forecasted Value
In the context of forecasting VETIVA BANKING's Etf 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. VETIVA BANKING's downside and upside margins for the forecasting period are 10.69 and 14.71, respectively. We have considered VETIVA BANKING'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.
The below table displays some essential indicators generated by the model showing the 4 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of VETIVA BANKING etf data series using in forecasting. Note that when a statistical model is used to represent VETIVA BANKING etf, 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
108.6212
Bias
Arithmetic mean of the errors
-0.0814
MAD
Mean absolute deviation
0.211
MAPE
Mean absolute percentage error
0.0166
SAE
Sum of the absolute errors
12.0275
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of VETIVA BANKING. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for VETIVA BANKING ETF and therefore, it cannot be a useful forecasting tool for medium or long range price predictions
Predictive Modules for VETIVA BANKING
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as VETIVA BANKING ETF. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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.Please note, it is not enough to conduct a financial or market analysis of a single entity such as VETIVA BANKING. Your research has to be compared to or analyzed against VETIVA BANKING's peers to derive any actionable benefits. When done correctly, VETIVA BANKING'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 VETIVA BANKING ETF.
Other Forecasting Options for VETIVA BANKING
For every potential investor in VETIVA, whether a beginner or expert, VETIVA BANKING's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. VETIVA Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in VETIVA. Basic forecasting techniques help filter out the noise by identifying VETIVA BANKING's price trends.
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 VETIVA BANKING etf to make a market-neutral strategy. Peer analysis of VETIVA BANKING could also be used in its relative valuation, which is a method of valuing VETIVA BANKING by comparing valuation metrics with similar companies.
VETIVA BANKING ETF Technical and Predictive Analytics
The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of VETIVA BANKING'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 VETIVA BANKING's current price.
Market strength indicators help investors to evaluate how VETIVA BANKING etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading VETIVA BANKING shares will generate the highest return on investment. By undertsting and applying VETIVA BANKING etf market strength indicators, traders can identify VETIVA BANKING ETF entry and exit signals to maximize returns.
The analysis of VETIVA BANKING'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 VETIVA BANKING's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting vetiva etf 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.
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.
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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.