Transalta Preferred Stock Forecast - Naive Prediction

TA-PD Preferred Stock  CAD 15.16  0.02  0.13%   
The Naive Prediction forecasted value of Transalta A Cum on the next trading day is expected to be 15.34 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.95. Transalta Preferred Stock Forecast is based on your current time horizon.
  
A naive forecasting model for Transalta is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Transalta A Cum value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Transalta Naive Prediction Price Forecast For the 29th of November

Given 90 days horizon, the Naive Prediction forecasted value of Transalta A Cum on the next trading day is expected to be 15.34 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.95.
Please note that although there have been many attempts to predict Transalta Preferred Stock 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 Transalta's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Transalta Preferred Stock Forecast Pattern

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Transalta Forecasted Value

In the context of forecasting Transalta's Preferred Stock 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. Transalta's downside and upside margins for the forecasting period are 14.55 and 16.13, respectively. We have considered Transalta'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
15.16
15.34
Expected Value
16.13
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Transalta preferred stock data series using in forecasting. Note that when a statistical model is used to represent Transalta preferred stock, 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 Criteria113.6913
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0812
MAPEMean absolute percentage error0.0054
SAESum of the absolute errors4.9508
This model is not at all useful as a medium-long range forecasting tool of Transalta A Cum. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Transalta. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Transalta

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Transalta A Cum. Regardless of method or technology, however, to accurately forecast the preferred stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the preferred stock 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Transalta's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Hype
Prediction
LowEstimatedHigh
14.3715.1615.95
Details
Intrinsic
Valuation
LowRealHigh
14.2915.0715.86
Details

Other Forecasting Options for Transalta

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

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

Transalta A Cum Technical and Predictive Analytics

The preferred stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Transalta'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 Transalta's current price.

Transalta Market Strength Events

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

Transalta Risk Indicators

The analysis of Transalta'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 Transalta's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting transalta preferred stock 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 Transalta

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 Transalta 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 Transalta will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Transalta could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Transalta 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 Transalta - 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 Transalta A Cum to buy it.
The correlation of Transalta 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 Transalta moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Transalta A Cum 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 Transalta 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

Additional Tools for Transalta Preferred Stock Analysis

When running Transalta's price analysis, check to measure Transalta's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Transalta is operating at the current time. Most of Transalta's value examination focuses on studying past and present price action to predict the probability of Transalta's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Transalta's price. Additionally, you may evaluate how the addition of Transalta to your portfolios can decrease your overall portfolio volatility.