IndexIQ ETF Etf Forecast - 8 Period Moving Average

CLNR Etf  USD 22.95  0.16  0.70%   
The 8 Period Moving Average forecasted value of IndexIQ ETF Trust on the next trading day is expected to be 22.92 with a mean absolute deviation of 0.32 and the sum of the absolute errors of 16.84. IndexIQ Etf Forecast is based on your current time horizon.
  
An 8-period moving average forecast model for IndexIQ ETF is based on an artificially constructed time series of IndexIQ ETF daily prices in which the value for a trading day is replaced by the mean of that value and the values for 8 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

IndexIQ ETF 8 Period Moving Average Price Forecast For the 25th of November

Given 90 days horizon, the 8 Period Moving Average forecasted value of IndexIQ ETF Trust on the next trading day is expected to be 22.92 with a mean absolute deviation of 0.32, mean absolute percentage error of 0.14, and the sum of the absolute errors of 16.84.
Please note that although there have been many attempts to predict IndexIQ 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 IndexIQ ETF's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

IndexIQ ETF Etf Forecast Pattern

Backtest IndexIQ ETFIndexIQ ETF Price PredictionBuy or Sell Advice 

IndexIQ ETF Forecasted Value

In the context of forecasting IndexIQ ETF'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. IndexIQ ETF's downside and upside margins for the forecasting period are 21.87 and 23.98, respectively. We have considered IndexIQ ETF'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
22.95
22.92
Expected Value
23.98
Upside

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 IndexIQ ETF etf data series using in forecasting. Note that when a statistical model is used to represent IndexIQ ETF 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.
AICAkaike Information Criteria101.4762
BiasArithmetic mean of the errors -0.0066
MADMean absolute deviation0.3177
MAPEMean absolute percentage error0.0134
SAESum of the absolute errors16.8375
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. IndexIQ ETF Trust 8-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for IndexIQ ETF

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as IndexIQ ETF Trust. 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.
Hype
Prediction
LowEstimatedHigh
21.9022.9624.02
Details
Intrinsic
Valuation
LowRealHigh
22.0623.1224.18
Details
Bollinger
Band Projection (param)
LowMiddleHigh
22.7522.9023.05
Details

Other Forecasting Options for IndexIQ ETF

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

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

IndexIQ ETF Trust 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 IndexIQ ETF'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 IndexIQ ETF's current price.

IndexIQ ETF Market Strength Events

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

IndexIQ ETF Risk Indicators

The analysis of IndexIQ ETF'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 IndexIQ ETF's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting indexiq 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.

Pair Trading with IndexIQ ETF

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if IndexIQ ETF position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in IndexIQ ETF will appreciate offsetting losses from the drop in the long position's value.

Moving against IndexIQ Etf

  0.36CONL GraniteShares ETF TrustPairCorr
  0.36BITX Volatility Shares Trust Low VolatilityPairCorr
The ability to find closely correlated positions to IndexIQ ETF could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace IndexIQ ETF when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back IndexIQ ETF - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling IndexIQ ETF Trust to buy it.
The correlation of IndexIQ ETF is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as IndexIQ ETF moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if IndexIQ ETF Trust moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for IndexIQ ETF can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether IndexIQ ETF Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of IndexIQ ETF's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Indexiq Etf Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Indexiq Etf Trust Etf:
Check out Historical Fundamental Analysis of IndexIQ ETF to cross-verify your projections.
To learn how to invest in IndexIQ Etf, please use our How to Invest in IndexIQ ETF guide.
You can also try the Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
The market value of IndexIQ ETF Trust is measured differently than its book value, which is the value of IndexIQ that is recorded on the company's balance sheet. Investors also form their own opinion of IndexIQ ETF's value that differs from its market value or its book value, called intrinsic value, which is IndexIQ ETF's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because IndexIQ ETF's market value can be influenced by many factors that don't directly affect IndexIQ ETF's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between IndexIQ ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if IndexIQ ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, IndexIQ ETF's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.