Retail Opportunity Investments Stock Market Value
| ROIC Stock | USD 12.39 0.04 0.32% |
| Symbol | Retail |
Retail Opportunity 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 Retail Opportunity. If investors know Retail 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 Retail Opportunity 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 0.332 | Dividend Share 0.6 | Earnings Share 0.3 | Revenue Per Share 2.658 | Quarterly Revenue Growth 0.076 |
The market value of Retail Opportunity is measured differently than its book value, which is the value of Retail that is recorded on the company's balance sheet. Investors also form their own opinion of Retail Opportunity's value that differs from its market value or its book value, called intrinsic value, which is Retail Opportunity'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 Retail Opportunity's market value can be influenced by many factors that don't directly affect Retail Opportunity'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 Retail Opportunity's value and its price as these two are different measures arrived at by different means. Investors typically determine if Retail Opportunity is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Retail Opportunity'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.
Retail Opportunity '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 Retail Opportunity'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 Retail Opportunity.
| 05/12/2024 |
| 06/11/2024 |
If you would invest 0.00 in Retail Opportunity on May 12, 2024 and sell it all today you would earn a total of 0.00 from holding Retail Opportunity Investments or generate 0.0% return on investment in Retail Opportunity over 30 days. Retail Opportunity is related to or competes with Inventrust Properties, Urban Edge, and Site Centers. , is a fully-integrated, self-managed real estate investment trust that specializes in the acquisition, ownership and ma... More
Retail Opportunity 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 Retail Opportunity'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 Retail Opportunity Investments upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 6.09 | |||
| Value At Risk | (2.27) | |||
| Potential Upside | 1.76 |
Retail Opportunity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Retail Opportunity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Retail Opportunity's standard deviation. In reality, there are many statistical measures that can use Retail Opportunity historical prices to predict the future Retail Opportunity's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | (0.04) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Retail Opportunity'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.
Retail Opportunity Backtested Returns
Retail Opportunity maintains Sharpe Ratio (i.e., Efficiency) of -0.0333, which implies the firm had a -0.0333% return per unit of risk over the last 3 months. Retail Opportunity exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Retail Opportunity's Variance of 1.57, coefficient of variation of (3,659), and Risk Adjusted Performance of (0.01) to confirm the risk estimate we provide. The company holds a Beta of 1.04, which implies a somewhat significant risk relative to the market. Retail Opportunity returns are very sensitive to returns on the market. As the market goes up or down, Retail Opportunity is expected to follow. At this point, Retail Opportunity has a negative expected return of -0.0424%. Please make sure to check Retail Opportunity's kurtosis, as well as the relationship between the day median price and period momentum indicator , to decide if Retail Opportunity performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.02 |
Very weak reverse predictability
Retail Opportunity Investments has very weak reverse predictability. Overlapping area represents the amount of predictability between Retail Opportunity time series from 12th of May 2024 to 27th of May 2024 and 27th of May 2024 to 11th of June 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 Retail Opportunity price movement. The serial correlation of -0.02 indicates that only 2.0% of current Retail Opportunity price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.02 | |
| Spearman Rank Test | -0.31 | |
| Residual Average | 0.0 | |
| Price Variance | 0.05 |
Retail Opportunity lagged returns against current returns
Autocorrelation, which is Retail Opportunity 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 Retail Opportunity's stock expected returns. We can calculate the autocorrelation of Retail Opportunity returns to help us make a trade decision. For example, suppose you find that Retail Opportunity 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 |
Retail Opportunity 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 Retail Opportunity stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Retail Opportunity stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Retail Opportunity stock over time.
Current vs Lagged Prices |
| Timeline |
Retail Opportunity Lagged Returns
When evaluating Retail Opportunity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Retail Opportunity stock have on its future price. Retail Opportunity 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, Retail Opportunity autocorrelation shows the relationship between Retail Opportunity stock current value and its past values and can show if there is a momentum factor associated with investing in Retail Opportunity Investments.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Additional Information and Resources on Investing in Retail Stock
When determining whether Retail Opportunity offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Retail Opportunity's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Retail Opportunity Investments Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Retail Opportunity Investments Stock:Check out Retail Opportunity Correlation, Retail Opportunity Volatility and Retail Opportunity Alpha and Beta module to complement your research on Retail Opportunity. You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
Retail Opportunity 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.