T Rowe Price Etf Market Value
| TSPA Etf | USD 37.92 0.24 0.64% |
| Symbol | TSPA |
The market value of T Rowe Price is measured differently than its book value, which is the value of TSPA that is recorded on the company's balance sheet. Investors also form their own opinion of T Rowe's value that differs from its market value or its book value, called intrinsic value, which is T Rowe'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 T Rowe's market value can be influenced by many factors that don't directly affect T Rowe'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 T Rowe's value and its price as these two are different measures arrived at by different means. Investors typically determine if T Rowe is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, T Rowe'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.
T Rowe '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 T Rowe'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 T Rowe.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in T Rowe on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding T Rowe Price or generate 0.0% return on investment in T Rowe over 30 days. T Rowe is related to or competes with Vanguard Total, SPDR SP, IShares Core, Vanguard Dividend, Vanguard Large, Invesco SP, and IShares Russell. The fund will normally invest at least 80 percent of its assets in U.S More
T Rowe 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 T Rowe'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 T Rowe Price upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8611 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.98 | |||
| Value At Risk | (1.47) | |||
| Potential Upside | 1.13 |
T Rowe Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for T Rowe's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as T Rowe's standard deviation. In reality, there are many statistical measures that can use T Rowe historical prices to predict the future T Rowe's volatility.| Risk Adjusted Performance | 0.1179 | |||
| Jensen Alpha | 0.0028 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.131 |
T Rowe Price Backtested Returns
At this point, T Rowe is very steady. T Rowe Price owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.19, which indicates the etf had a 0.19% return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for T Rowe Price, which you can use to evaluate the volatility of the entity. Please validate T Rowe's Market Risk Adjusted Performance of 0.141, risk adjusted performance of 0.1179, and Downside Deviation of 0.8611 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. The entity has a beta of 0.83, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, T Rowe's returns are expected to increase less than the market. However, during the bear market, the loss of holding T Rowe is expected to be smaller as well.
Auto-correlation | 0.87 |
Very good predictability
T Rowe Price has very good predictability. Overlapping area represents the amount of predictability between T Rowe time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st 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 T Rowe Price price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current T Rowe price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.87 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 0.1 |
T Rowe Price lagged returns against current returns
Autocorrelation, which is T Rowe 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 T Rowe's etf expected returns. We can calculate the autocorrelation of T Rowe returns to help us make a trade decision. For example, suppose you find that T Rowe 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 |
T Rowe 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 T Rowe etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if T Rowe etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in T Rowe etf over time.
Current vs Lagged Prices |
| Timeline |
T Rowe Lagged Returns
When evaluating T Rowe's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of T Rowe etf have on its future price. T Rowe 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, T Rowe autocorrelation shows the relationship between T Rowe etf current value and its past values and can show if there is a momentum factor associated with investing in T Rowe Price.
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.When determining whether T Rowe Price is a strong investment it is important to analyze T Rowe's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact T Rowe's future performance. For an informed investment choice regarding TSPA Etf, refer to the following important reports:Check out T Rowe Correlation, T Rowe Volatility and T Rowe Alpha and Beta module to complement your research on T Rowe. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
T Rowe 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.