Iron Mountain Stock Forecast - Polynomial Regression
| IRM Stock | USD 114.50 2.94 2.50% |
The Polynomial Regression forecasted value of Iron Mountain Incorporated on the next trading day is expected to be 114.71 with a mean absolute deviation of 1.94 and the sum of the absolute errors of 120.42. Iron Stock Forecast is based on your current time horizon. Although Iron Mountain's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Iron Mountain's systematic risk associated with finding meaningful patterns of Iron Mountain fundamentals over time.
Iron |
Iron Mountain Polynomial Regression Price Forecast For the 14th of November 2024
Given 90 days horizon, the Polynomial Regression forecasted value of Iron Mountain Incorporated on the next trading day is expected to be 114.71 with a mean absolute deviation of 1.94, mean absolute percentage error of 5.60, and the sum of the absolute errors of 120.42.Please note that although there have been many attempts to predict Iron 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 Iron Mountain's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Iron Mountain Stock Forecast Pattern
| Backtest Iron Mountain | Iron Mountain Price Prediction | Buy or Sell Advice |
Iron Mountain Forecasted Value
In the context of forecasting Iron Mountain'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. Iron Mountain's downside and upside margins for the forecasting period are 112.85 and 116.57, respectively. We have considered Iron Mountain'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.
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 Iron Mountain stock data series using in forecasting. Note that when a statistical model is used to represent Iron Mountain 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 | 121.6712 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.9423 |
| MAPE | Mean absolute percentage error | 0.0165 |
| SAE | Sum of the absolute errors | 120.4239 |
Predictive Modules for Iron Mountain
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Iron Mountain. 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.Other Forecasting Options for Iron Mountain
For every potential investor in Iron, whether a beginner or expert, Iron Mountain's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Iron Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Iron. Basic forecasting techniques help filter out the noise by identifying Iron Mountain's price trends.Iron Mountain 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 Iron Mountain stock to make a market-neutral strategy. Peer analysis of Iron Mountain could also be used in its relative valuation, which is a method of valuing Iron Mountain by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Iron Mountain 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 Iron Mountain'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 Iron Mountain's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Iron Mountain Market Strength Events
Market strength indicators help investors to evaluate how Iron Mountain stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Iron Mountain shares will generate the highest return on investment. By undertsting and applying Iron Mountain stock market strength indicators, traders can identify Iron Mountain Incorporated entry and exit signals to maximize returns.
| Accumulation Distribution | 52959.93 | |||
| Daily Balance Of Power | (0.82) | |||
| Rate Of Daily Change | 0.97 | |||
| Day Median Price | 115.84 | |||
| Day Typical Price | 115.39 | |||
| Price Action Indicator | (2.80) | |||
| Period Momentum Indicator | (2.94) | |||
| Relative Strength Index | 45.17 |
Iron Mountain Risk Indicators
The analysis of Iron Mountain'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 Iron Mountain's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting iron 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 | 1.25 | |||
| Semi Deviation | 2.25 | |||
| Standard Deviation | 1.82 | |||
| Variance | 3.31 | |||
| Downside Variance | 6.07 | |||
| Semi Variance | 5.06 | |||
| Expected Short fall | (1.10) |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Iron Mountain to cross-verify your projections. You can also try the Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
Is Other Specialized REITs space 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 Iron Mountain. If investors know Iron 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 Iron Mountain 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 308.278 | Dividend Share 2.634 | Earnings Share 0.36 | Revenue Per Share 20.438 | Quarterly Revenue Growth 0.122 |
The market value of Iron Mountain is measured differently than its book value, which is the value of Iron that is recorded on the company's balance sheet. Investors also form their own opinion of Iron Mountain's value that differs from its market value or its book value, called intrinsic value, which is Iron Mountain'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 Iron Mountain's market value can be influenced by many factors that don't directly affect Iron Mountain'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 Iron Mountain's value and its price as these two are different measures arrived at by different means. Investors typically determine if Iron Mountain is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Iron Mountain'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.