Iron Mountain Stock Forecast - Simple Regression

IRM Stock  USD 88.43  0.18  0.20%   
The Simple Regression forecasted value of Iron Mountain Incorporated on the next trading day is expected to be 85.87 with a mean absolute deviation of 3.66 and the sum of the absolute errors of 223.13. 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.
  
As of the 20th of March 2025, Inventory Turnover is likely to grow to 176.42. Also, Payables Turnover is likely to grow to 8.03. As of the 20th of March 2025, Net Income Applicable To Common Shares is likely to grow to about 672.6 M, while Common Stock Shares Outstanding is likely to drop about 228.2 M.

Open Interest Against 2025-06-20 Iron Option Contracts

Although open interest is a measure utilized in the options markets, it could be used to forecast Iron Mountain's 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 Iron Mountain's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Iron Mountain 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 Iron Mountain's open interest, investors have to compare it to Iron Mountain's 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 Iron Mountain 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 Iron. 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.
Simple Regression model is a single variable regression model that attempts to put a straight line through Iron Mountain price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.

Iron Mountain Simple Regression Price Forecast For the 21st of March

Given 90 days horizon, the Simple Regression forecasted value of Iron Mountain Incorporated on the next trading day is expected to be 85.87 with a mean absolute deviation of 3.66, mean absolute percentage error of 20.39, and the sum of the absolute errors of 223.13.
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

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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 83.61 and 88.13, 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.
Market Value
88.43
85.87
Expected Value
88.13
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple 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.
AICAkaike Information Criteria121.1254
BiasArithmetic mean of the errors None
MADMean absolute deviation3.6578
MAPEMean absolute percentage error0.037
SAESum of the absolute errors223.1268
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Iron Mountain Incorporated historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

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.
Hype
Prediction
LowEstimatedHigh
86.3588.6190.87
Details
Intrinsic
Valuation
LowRealHigh
75.3577.6197.47
Details
Bollinger
Band Projection (param)
LowMiddleHigh
81.5488.6495.75
Details
8 Analysts
Consensus
LowTargetHigh
111.36122.38135.84
Details

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.

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.

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.
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.

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When determining whether Iron Mountain is a strong investment it is important to analyze Iron Mountain's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Iron Mountain's future performance. For an informed investment choice regarding Iron Stock, refer to the following important reports:
Check out Historical Fundamental Analysis of Iron Mountain to cross-verify your projections.
You can also try the Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.
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
2.583
Dividend Share
2.73
Earnings Share
0.61
Revenue Per Share
20.963
Quarterly Revenue Growth
0.114
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.