FTAI Infrastructure Stock Forecast - Naive Prediction

FIP Stock  USD 8.46  0.05  0.59%   
The Naive Prediction forecasted value of FTAI Infrastructure on the next trading day is expected to be 8.11 with a mean absolute deviation of 0.25 and the sum of the absolute errors of 15.18. FTAI Stock Forecast is based on your current time horizon. Although FTAI Infrastructure's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of FTAI Infrastructure's systematic risk associated with finding meaningful patterns of FTAI Infrastructure fundamentals over time.
  
At this time, FTAI Infrastructure's Inventory Turnover is relatively stable compared to the past year. As of 11/22/2024, Payables Turnover is likely to grow to 2.79, while Receivables Turnover is likely to drop 3.93. . As of 11/22/2024, Common Stock Shares Outstanding is likely to grow to about 110 M, though Net Loss is likely to grow to (151.5 M).

FTAI Infrastructure Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the FTAI Infrastructure's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
2010-12-31
Previous Quarter
87.5 M
Current Value
91.9 M
Quarterly Volatility
30 M
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for FTAI Infrastructure is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of FTAI Infrastructure 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.

FTAI Infrastructure Naive Prediction Price Forecast For the 23rd of November

Given 90 days horizon, the Naive Prediction forecasted value of FTAI Infrastructure on the next trading day is expected to be 8.11 with a mean absolute deviation of 0.25, mean absolute percentage error of 0.1, and the sum of the absolute errors of 15.18.
Please note that although there have been many attempts to predict FTAI 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 FTAI Infrastructure's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

FTAI Infrastructure Stock Forecast Pattern

Backtest FTAI InfrastructureFTAI Infrastructure Price PredictionBuy or Sell Advice 

FTAI Infrastructure Forecasted Value

In the context of forecasting FTAI Infrastructure's 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. FTAI Infrastructure's downside and upside margins for the forecasting period are 4.95 and 11.28, respectively. We have considered FTAI Infrastructure'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
8.46
8.11
Expected Value
11.28
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 FTAI Infrastructure stock data series using in forecasting. Note that when a statistical model is used to represent FTAI Infrastructure 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 Criteria115.7806
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2488
MAPEMean absolute percentage error0.0279
SAESum of the absolute errors15.1768
This model is not at all useful as a medium-long range forecasting tool of FTAI Infrastructure. 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 FTAI Infrastructure. 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 FTAI Infrastructure

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FTAI Infrastructure. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the 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.
Hype
Prediction
LowEstimatedHigh
5.378.5111.65
Details
Intrinsic
Valuation
LowRealHigh
4.517.6510.79
Details
3 Analysts
Consensus
LowTargetHigh
6.377.007.77
Details

Other Forecasting Options for FTAI Infrastructure

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

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

FTAI Infrastructure Technical and Predictive Analytics

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

FTAI Infrastructure Market Strength Events

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

FTAI Infrastructure Risk Indicators

The analysis of FTAI Infrastructure'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 FTAI Infrastructure's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting ftai 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 FTAI Infrastructure

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

When running FTAI Infrastructure's price analysis, check to measure FTAI Infrastructure'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 FTAI Infrastructure is operating at the current time. Most of FTAI Infrastructure's value examination focuses on studying past and present price action to predict the probability of FTAI Infrastructure's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FTAI Infrastructure's price. Additionally, you may evaluate how the addition of FTAI Infrastructure to your portfolios can decrease your overall portfolio volatility.