CI Gold Etf Forecast - Polynomial Regression

VALT Etf  CAD 32.33  0.04  0.12%   
The Polynomial Regression forecasted value of CI Gold Bullion on the next trading day is expected to be 32.75 with a mean absolute deviation of 0.44 and the sum of the absolute errors of 26.82. VALT Etf Forecast is based on your current time horizon.
  
CI Gold polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for CI Gold Bullion as well as the accuracy indicators are determined from the period prices.

CI Gold Polynomial Regression Price Forecast For the 30th of December

Given 90 days horizon, the Polynomial Regression forecasted value of CI Gold Bullion on the next trading day is expected to be 32.75 with a mean absolute deviation of 0.44, mean absolute percentage error of 0.31, and the sum of the absolute errors of 26.82.
Please note that although there have been many attempts to predict VALT 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 CI Gold's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CI Gold Etf Forecast Pattern

Backtest CI GoldCI Gold Price PredictionBuy or Sell Advice 

CI Gold Forecasted Value

In the context of forecasting CI Gold'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. CI Gold's downside and upside margins for the forecasting period are 31.72 and 33.78, respectively. We have considered CI Gold'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
32.33
32.75
Expected Value
33.78
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 CI Gold etf data series using in forecasting. Note that when a statistical model is used to represent CI Gold 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 Criteria116.9422
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4397
MAPEMean absolute percentage error0.0133
SAESum of the absolute errors26.8226
A single variable polynomial regression model attempts to put a curve through the CI Gold 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 CI Gold

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CI Gold Bullion. 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
31.3032.3333.36
Details
Intrinsic
Valuation
LowRealHigh
29.3830.4135.56
Details

Other Forecasting Options for CI Gold

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

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

CI Gold Bullion 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 CI Gold'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 CI Gold's current price.

CI Gold Market Strength Events

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

CI Gold Risk Indicators

The analysis of CI Gold'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 CI Gold's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting valt 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 CI Gold

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 CI Gold 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 CI Gold will appreciate offsetting losses from the drop in the long position's value.

Moving together with VALT Etf

  0.84SVR iShares Silver BullionPairCorr
  0.98HGY Global X GoldPairCorr
  0.99HUG Global X GoldPairCorr
  0.85HUZ Global X SilverPairCorr

Moving against VALT Etf

  0.45HUN Global X NaturalPairCorr
  0.42CMCX-B CI Galaxy MultiPairCorr
  0.4ETC Evolve CryptocurrenciesPairCorr
  0.4FBTC Fidelity AdvantagePairCorr
  0.38BNC Purpose Canadian FinPairCorr
The ability to find closely correlated positions to CI Gold could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace CI Gold 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 CI Gold - 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 CI Gold Bullion to buy it.
The correlation of CI Gold 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 CI Gold moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if CI Gold Bullion 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 CI Gold 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

Other Information on Investing in VALT Etf

CI Gold financial ratios help investors to determine whether VALT Etf 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 VALT with respect to the benefits of owning CI Gold security.