RETAIL OPPORTUNITY INVTS Market Value
| 76132FAB3 | 99.21 0.77 0.77% |
| Symbol | RETAIL |
RETAIL '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's bond 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.
| 11/15/2024 |
| 12/15/2024 |
If you would invest 0.00 in RETAIL on November 15, 2024 and sell it all today you would earn a total of 0.00 from holding RETAIL OPPORTUNITY INVTS or generate 0.0% return on investment in RETAIL over 30 days. RETAIL is related to or competes with Kura Sushi, First Watch, Rave Restaurant, Sweetgreen, Flexible Solutions, Chipotle Mexican, and ReTo Eco. More
RETAIL 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's bond 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 INVTS upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.544 | |||
| Information Ratio | (0.21) | |||
| Maximum Drawdown | 3.4 | |||
| Value At Risk | (0.37) | |||
| Potential Upside | 0.4452 |
RETAIL Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for RETAIL's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as RETAIL's standard deviation. In reality, there are many statistical measures that can use RETAIL historical prices to predict the future RETAIL's volatility.| Risk Adjusted Performance | 0.004 | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.06) | |||
| Sortino Ratio | (0.17) | |||
| Treynor Ratio | (0.07) |
RETAIL OPPORTUNITY INVTS Backtested Returns
RETAIL OPPORTUNITY INVTS maintains Sharpe Ratio (i.e., Efficiency) of -0.0544, which implies the entity had a -0.0544% return per unit of standard deviation over the last 3 months. RETAIL OPPORTUNITY INVTS exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check RETAIL's Market Risk Adjusted Performance of (0.06), semi deviation of 0.5288, and Risk Adjusted Performance of 0.004 to confirm the risk estimate we provide. The bond holds a Beta of 0.051, which implies not very significant fluctuations relative to the market. As returns on the market increase, RETAIL's returns are expected to increase less than the market. However, during the bear market, the loss of holding RETAIL is expected to be smaller as well.
Auto-correlation | 1.00 |
Perfect predictability
RETAIL OPPORTUNITY INVTS has perfect predictability. Overlapping area represents the amount of predictability between RETAIL time series from 15th of November 2024 to 30th of November 2024 and 30th of November 2024 to 15th of December 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 INVTS price movement. The serial correlation of 1.0 indicates that 100.0% of current RETAIL price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
RETAIL OPPORTUNITY INVTS lagged returns against current returns
Autocorrelation, which is RETAIL bond'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's bond expected returns. We can calculate the autocorrelation of RETAIL returns to help us make a trade decision. For example, suppose you find that RETAIL has exhibited high autocorrelation historically, and you observe that the bond 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 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 bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if RETAIL bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in RETAIL bond over time.
Current vs Lagged Prices |
| Timeline |
RETAIL Lagged Returns
When evaluating RETAIL's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of RETAIL bond have on its future price. RETAIL 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 autocorrelation shows the relationship between RETAIL bond current value and its past values and can show if there is a momentum factor associated with investing in RETAIL OPPORTUNITY INVTS.
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.Other Information on Investing in RETAIL Bond
RETAIL financial ratios help investors to determine whether RETAIL Bond is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in RETAIL with respect to the benefits of owning RETAIL security.