Realty Income Stock Price Prediction
| O Stock | USD 57.89 0.43 0.74% |
Oversold Vs Overbought
32
Oversold | Overbought |
Quarterly Earnings Growth (0.09) | EPS Estimate Next Quarter 0.37 | EPS Estimate Current Year 1.326 | EPS Estimate Next Year 1.4718 | Wall Street Target Price 64.3611 |
Using Realty Income hype-based prediction, you can estimate the value of Realty Income from the perspective of Realty Income response to recently generated media hype and the effects of current headlines on its competitors.
Realty Income Hype to Price Pattern
Investor biases related to Realty Income's public news can be used to forecast risks associated with an investment in Realty. The trend in average sentiment can be used to explain how an investor holding Realty can time the market purely based on public headlines and social activities around Realty Income. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Realty Income's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Realty Income.
The fear of missing out, i.e., FOMO, can cause potential investors in Realty Income to buy its stock at a price that has no basis in reality. In that case, they are not buying Realty because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Realty Income after-hype prediction price | USD 58.36 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Realty |
Realty Income After-Hype Price Prediction Density Analysis
As far as predicting the price of Realty Income at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Realty Income or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Realty Income, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Realty Income Estimiated After-Hype Price Volatility
In the context of predicting Realty Income's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Realty Income's historical news coverage. Realty Income's after-hype downside and upside margins for the prediction period are 57.33 and 59.39, respectively. We have considered Realty Income's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Realty Income is very steady at this time. Analysis and calculation of next after-hype price of Realty Income is based on 3 months time horizon.
Realty Income Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Realty Income is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Realty Income backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Realty Income, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.09 | 1.03 | 0.04 | 0.06 | 10 Events / Month | 7 Events / Month | In about 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
57.89 | 58.36 | 0.07 |
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Realty Income Hype Timeline
As of November 29, 2024 Realty Income is listed for 57.89. The entity has historical hype elasticity of 0.04, and average elasticity to hype of competition of -0.06. Realty is estimated to increase in value after the next headline, with the price projected to jump to 58.36 or above. The average volatility of media hype impact on the company the price is over 100%. The price boost on the next news is projected to be 0.07%, whereas the daily expected return is now at -0.09%. The volatility of related hype on Realty Income is about 144.62%, with the expected price after the next announcement by competition of 57.83. The company reported the annual revenue of 4.08 B. Net Income to common stockholders was 876.91 M with gross profit before all taxes, overhead, and interest of 3.11 B. Taking into account the 90-day investment horizon the next estimated press release will be in about 10 days. Check out Realty Income Basic Forecasting Models to cross-verify your projections.Realty Income Related Hype Analysis
Having access to credible news sources related to Realty Income's direct competition is more important than ever and may enhance your ability to predict Realty Income's future price movements. Getting to know how Realty Income's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Realty Income may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| FRT | Federal Realty Investment | (1.07) | 11 per month | 0.87 | (0.08) | 1.44 | (1.36) | 4.75 | |
| MAC | Macerich Company | (0.50) | 7 per month | 1.23 | 0.20 | 3.07 | (2.05) | 7.19 | |
| NNN | National Retail Properties | (0.35) | 10 per month | 0.00 | (0.16) | 1.54 | (2.03) | 6.53 | |
| KIM | Kimco Realty | 0.03 | 8 per month | 0.86 | 0.06 | 1.64 | (1.67) | 4.88 | |
| ADC | Agree Realty | (0.90) | 9 per month | 0.76 | (0.01) | 1.72 | (1.38) | 4.27 | |
| SPG | Simon Property Group | (2.97) | 11 per month | 0.79 | 0.03 | 1.76 | (1.66) | 4.38 | |
| WSR | Whitestone REIT | (0.08) | 8 per month | 0.90 | 0.03 | 1.67 | (1.93) | 8.61 | |
| REG | Regency Centers | (0.38) | 11 per month | 0.85 | (0.01) | 1.32 | (1.68) | 4.55 | |
| NTST | Netstreit Corp | (0.19) | 9 per month | 0.00 | (0.12) | 1.82 | (1.93) | 7.23 |
Realty Income Additional Predictive Modules
Most predictive techniques to examine Realty price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Realty using various technical indicators. When you analyze Realty charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Realty Income Predictive Indicators
The successful prediction of Realty Income stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Realty Income, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Realty Income based on analysis of Realty Income hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Realty Income's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Realty Income's related companies. | 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0394 | 0.0467 | 0.0531 | 0.0743 | Price To Sales Ratio | 14.26 | 11.61 | 9.75 | 7.69 |
Story Coverage note for Realty Income
The number of cover stories for Realty Income depends on current market conditions and Realty Income's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Realty Income is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Realty Income's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Realty Income Short Properties
Realty Income's future price predictability will typically decrease when Realty Income's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Realty Income often depends not only on the future outlook of the potential Realty Income's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Realty Income's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 693 M | |
| Cash And Short Term Investments | 232.9 M |
Check out Realty Income Basic Forecasting Models to cross-verify your projections. To learn how to invest in Realty Stock, please use our How to Invest in Realty Income guide.You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
Is Retail 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 Realty Income. If investors know Realty 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 Realty Income 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 (0.09) | Dividend Share 3.111 | Earnings Share 1.05 | Revenue Per Share 6.077 | Quarterly Revenue Growth 0.286 |
The market value of Realty Income is measured differently than its book value, which is the value of Realty that is recorded on the company's balance sheet. Investors also form their own opinion of Realty Income's value that differs from its market value or its book value, called intrinsic value, which is Realty Income'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 Realty Income's market value can be influenced by many factors that don't directly affect Realty Income'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 Realty Income's value and its price as these two are different measures arrived at by different means. Investors typically determine if Realty Income is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Realty Income'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.