Industrial Logistics Stock Forecast - Simple Exponential Smoothing
| ILPT Stock | USD 3.85 0.04 1.03% |
The Simple Exponential Smoothing forecasted value of Industrial Logistics Properties on the next trading day is expected to be 3.85 with a mean absolute deviation of 0.10 and the sum of the absolute errors of 6.39. Industrial Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Industrial Logistics stock prices and determine the direction of Industrial Logistics Properties's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Industrial Logistics' historical fundamentals, such as revenue growth or operating cash flow patterns. Although Industrial Logistics' naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Industrial Logistics' systematic risk associated with finding meaningful patterns of Industrial Logistics fundamentals over time.
Check out Historical Fundamental Analysis of Industrial Logistics to cross-verify your projections. Industrial |
Open Interest Against 2024-06-21 Industrial Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Industrial Logistics' spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Industrial Logistics' options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Industrial Logistics stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Industrial Logistics' open interest, investors have to compare it to Industrial Logistics' spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Industrial Logistics is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Industrial. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Most investors in Industrial Logistics cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Industrial Logistics' time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Industrial Logistics' price structures and extracts relationships that further increase the generated results' accuracy.
Industrial Logistics simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Industrial Logistics Properties are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Industrial Logistics prices get older. Industrial Logistics Simple Exponential Smoothing Price Forecast For the 25th of May
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Industrial Logistics Properties on the next trading day is expected to be 3.85 with a mean absolute deviation of 0.10, mean absolute percentage error of 0.02, and the sum of the absolute errors of 6.39.Please note that although there have been many attempts to predict Industrial 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 Industrial Logistics' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Industrial Logistics Stock Forecast Pattern
| Backtest Industrial Logistics | Industrial Logistics Price Prediction | Buy or Sell Advice |
Industrial Logistics Forecasted Value
In the context of forecasting Industrial Logistics' 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. Industrial Logistics' downside and upside margins for the forecasting period are 0.35 and 7.35, respectively. We have considered Industrial Logistics' 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Industrial Logistics stock data series using in forecasting. Note that when a statistical model is used to represent Industrial Logistics 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.| AIC | Akaike Information Criteria | 114.1091 |
| Bias | Arithmetic mean of the errors | -0.0038 |
| MAD | Mean absolute deviation | 0.1048 |
| MAPE | Mean absolute percentage error | 0.0264 |
| SAE | Sum of the absolute errors | 6.39 |
Predictive Modules for Industrial Logistics
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Industrial Logistics. 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.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Industrial Logistics' 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.
Other Forecasting Options for Industrial Logistics
For every potential investor in Industrial, whether a beginner or expert, Industrial Logistics' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Industrial Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Industrial. Basic forecasting techniques help filter out the noise by identifying Industrial Logistics' price trends.Industrial Logistics 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 Industrial Logistics stock to make a market-neutral strategy. Peer analysis of Industrial Logistics could also be used in its relative valuation, which is a method of valuing Industrial Logistics by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Industrial Logistics 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 Industrial Logistics' 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 Industrial Logistics' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Industrial Logistics Market Strength Events
Market strength indicators help investors to evaluate how Industrial Logistics stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Industrial Logistics shares will generate the highest return on investment. By undertsting and applying Industrial Logistics stock market strength indicators, traders can identify Industrial Logistics Properties entry and exit signals to maximize returns.
| Accumulation Distribution | 25931.63 | |||
| Daily Balance Of Power | (0.21) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 3.86 | |||
| Day Typical Price | 3.85 | |||
| Price Action Indicator | (0.03) | |||
| Period Momentum Indicator | (0.04) |
Industrial Logistics Risk Indicators
The analysis of Industrial Logistics' 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 Industrial Logistics' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting industrial 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.
| Mean Deviation | 2.72 | |||
| Standard Deviation | 3.6 | |||
| Variance | 12.97 |
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 Industrial Logistics
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 Industrial Logistics 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 Industrial Logistics will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Industrial Logistics could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Industrial Logistics 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 Industrial Logistics - 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 Industrial Logistics Properties to buy it.
The correlation of Industrial Logistics 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 Industrial Logistics moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Industrial Logistics 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 Industrial Logistics 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.Check out Historical Fundamental Analysis of Industrial Logistics to cross-verify your projections. You can also try the Portfolio Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
Complementary Tools for Industrial Stock analysis
When running Industrial Logistics' price analysis, check to measure Industrial Logistics' 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 Industrial Logistics is operating at the current time. Most of Industrial Logistics' value examination focuses on studying past and present price action to predict the probability of Industrial Logistics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Industrial Logistics' price. Additionally, you may evaluate how the addition of Industrial Logistics to your portfolios can decrease your overall portfolio volatility.
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Is Industrial Logistics' industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Industrial Logistics. If investors know Industrial will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Industrial Logistics listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.565 | Dividend Share 0.04 | Earnings Share (1.63) | Revenue Per Share 6.708 | Quarterly Revenue Growth 0.018 |
The market value of Industrial Logistics is measured differently than its book value, which is the value of Industrial that is recorded on the company's balance sheet. Investors also form their own opinion of Industrial Logistics' value that differs from its market value or its book value, called intrinsic value, which is Industrial Logistics' 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 Industrial Logistics' market value can be influenced by many factors that don't directly affect Industrial Logistics' 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 Industrial Logistics' value and its price as these two are different measures arrived at by different means. Investors typically determine if Industrial Logistics is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Industrial Logistics' 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.