Royce Quant Small Cap Etf Market Value
| SQLV Etf | USD 34.86 0.19 0.55% |
| Symbol | Royce |
The market value of Royce Quant Small is measured differently than its book value, which is the value of Royce that is recorded on the company's balance sheet. Investors also form their own opinion of Royce Quant's value that differs from its market value or its book value, called intrinsic value, which is Royce Quant'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 Royce Quant's market value can be influenced by many factors that don't directly affect Royce Quant'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 Royce Quant's value and its price as these two are different measures arrived at by different means. Investors typically determine if Royce Quant is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Royce Quant'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.
Royce Quant '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 Royce Quant's etf 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 Royce Quant.
| 04/26/2023 |
| 04/15/2025 |
If you would invest 0.00 in Royce Quant on April 26, 2023 and sell it all today you would earn a total of 0.00 from holding Royce Quant Small Cap or generate 0.0% return on investment in Royce Quant over 720 days. Royce Quant is related to or competes with First Trust, ClearBridge Dividend, and Principal Quality. The fund primarily invests in equity securities of small-capitalization companies that are traded in the United States a... More
Royce Quant 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 Royce Quant's etf 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 Royce Quant Small Cap upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.14) | |||
| Maximum Drawdown | 11.7 | |||
| Value At Risk | (2.37) | |||
| Potential Upside | 1.31 |
Royce Quant Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Royce Quant's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Royce Quant's standard deviation. In reality, there are many statistical measures that can use Royce Quant historical prices to predict the future Royce Quant's volatility.| Risk Adjusted Performance | (0.29) | |||
| Jensen Alpha | (0.34) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | 1.82 |
Royce Quant Small Backtested Returns
Royce Quant Small maintains Sharpe Ratio (i.e., Efficiency) of -0.18, which implies the entity had a -0.18 % return per unit of risk over the last 3 months. Royce Quant Small exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Royce Quant's Risk Adjusted Performance of (0.29), coefficient of variation of (554.69), and Variance of 3.12 to confirm the risk estimate we provide. The etf holds a Beta of -0.18, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Royce Quant are expected to decrease at a much lower rate. During the bear market, Royce Quant is likely to outperform the market.
Auto-correlation | 0.12 |
Insignificant predictability
Royce Quant Small Cap has insignificant predictability. Overlapping area represents the amount of predictability between Royce Quant time series from 26th of April 2023 to 20th of April 2024 and 20th of April 2024 to 15th of April 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Royce Quant Small price movement. The serial correlation of 0.12 indicates that less than 12.0% of current Royce Quant price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.12 | |
| Spearman Rank Test | 0.27 | |
| Residual Average | 0.0 | |
| Price Variance | 5.72 |
Royce Quant Small lagged returns against current returns
Autocorrelation, which is Royce Quant etf'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 Royce Quant's etf expected returns. We can calculate the autocorrelation of Royce Quant returns to help us make a trade decision. For example, suppose you find that Royce Quant has exhibited high autocorrelation historically, and you observe that the etf 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 |
Royce Quant 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 Royce Quant etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Royce Quant etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Royce Quant etf over time.
Current vs Lagged Prices |
| Timeline |
Royce Quant Lagged Returns
When evaluating Royce Quant's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Royce Quant etf have on its future price. Royce Quant 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, Royce Quant autocorrelation shows the relationship between Royce Quant etf current value and its past values and can show if there is a momentum factor associated with investing in Royce Quant Small Cap.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Check out Royce Quant Correlation, Royce Quant Volatility and Royce Quant Alpha and Beta module to complement your research on Royce Quant. You can also try the Commodity Directory module to find actively traded commodities issued by global exchanges.
Royce Quant technical etf 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, etf market cycles, or different charting patterns.