Realty Income Stock Market Value
| O Stock | USD 61.51 0.16 0.26% |
| Symbol | Realty |
Realty Income Price To Book Ratio
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.
Dividend Share 3.088 | Earnings Share 1.08 | Revenue Per Share 6.01 | Quarterly Revenue Growth 0.316 | Return On Assets 0.0211 |
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.
Realty Income 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Realty Income's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Realty Income.
| 10/15/2023 |
| 10/09/2024 |
If you would invest 0.00 in Realty Income on October 15, 2023 and sell it all today you would earn a total of 0.00 from holding Realty Income or generate 0.0% return on investment in Realty Income over 360 days. Realty Income is related to or competes with Federal Realty, Macerich, National Retail, Kimco Realty, Agree Realty, Simon Property, and Acadia Realty. Realty Income, The Monthly Dividend Company, is an SP 500 company dedicated to providing stockholders with dependable mo... More
Realty Income Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Realty Income's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Realty Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6929 | |||
| Information Ratio | 0.153 | |||
| Maximum Drawdown | 5.04 | |||
| Value At Risk | (0.92) | |||
| Potential Upside | 2.11 |
Realty Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Realty Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Realty Income's standard deviation. In reality, there are many statistical measures that can use Realty Income historical prices to predict the future Realty Income's volatility.| Risk Adjusted Performance | 0.2216 | |||
| Jensen Alpha | 0.2294 | |||
| Total Risk Alpha | 0.1293 | |||
| Sortino Ratio | 0.2021 | |||
| Treynor Ratio | 3.81 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Realty Income's 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.
Realty Income Backtested Returns
Realty Income appears to be very steady, given 3 months investment horizon. Realty Income maintains Sharpe Ratio (i.e., Efficiency) of 0.23, which implies the firm had a 0.23% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Realty Income, which you can use to evaluate the volatility of the company. Please evaluate Realty Income's Risk Adjusted Performance of 0.2216, coefficient of variation of 373.21, and Semi Deviation of 0.3761 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Realty Income holds a performance score of 18. The company holds a Beta of 0.0617, which implies not very significant fluctuations relative to the market. As returns on the market increase, Realty Income's returns are expected to increase less than the market. However, during the bear market, the loss of holding Realty Income is expected to be smaller as well. Please check Realty Income's standard deviation, expected short fall, period momentum indicator, as well as the relationship between the maximum drawdown and rate of daily change , to make a quick decision on whether Realty Income's historical price patterns will revert.
Auto-correlation | -0.05 |
Very weak reverse predictability
Realty Income has very weak reverse predictability. Overlapping area represents the amount of predictability between Realty Income time series from 15th of October 2023 to 12th of April 2024 and 12th of April 2024 to 9th of October 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Realty Income price movement. The serial correlation of -0.05 indicates that only as little as 5.0% of current Realty Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.05 | |
| Spearman Rank Test | 0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 18.68 |
Realty Income lagged returns against current returns
Autocorrelation, which is Realty Income stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Realty Income's stock expected returns. We can calculate the autocorrelation of Realty Income returns to help us make a trade decision. For example, suppose you find that Realty Income has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Realty Income regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Realty Income stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Realty Income stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Realty Income stock over time.
Current vs Lagged Prices |
| Timeline |
Realty Income Lagged Returns
When evaluating Realty Income's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Realty Income stock have on its future price. Realty Income autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Realty Income autocorrelation shows the relationship between Realty Income stock current value and its past values and can show if there is a momentum factor associated with investing in Realty Income.
Regressed Prices |
| Timeline |
Pair Trading with Realty Income
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 Realty Income 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 Realty Income will appreciate offsetting losses from the drop in the long position's value.Moving together with Realty Stock
| 0.87 | FR | First Industrial Realty Earnings Call This Week | PairCorr |
| 0.76 | HR | Healthcare Realty Trust | PairCorr |
Moving against Realty Stock
The ability to find closely correlated positions to Realty Income could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Realty Income 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 Realty Income - 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 Realty Income to buy it.
The correlation of Realty Income 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 Realty Income moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Realty Income 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 Realty Income 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 Realty Income Correlation, Realty Income Volatility and Realty Income Alpha and Beta module to complement your research on Realty Income. To learn how to invest in Realty Stock, please use our How to Invest in Realty Income guide.You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
Realty Income technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.