T Rowe Price Etf Market Value
| TURF Etf | 35.35 0.54 1.55% |
| Symbol | TURF |
Understanding T Rowe Price requires distinguishing between market price and book value, where the latter reflects TURF's accounting equity. The concept of intrinsic value - what T Rowe's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Market sentiment, economic cycles, and investor behavior can push T Rowe's price substantially above or below its fundamental 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. In contrast, T Rowe's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
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.
| 12/02/2025 |
| 03/02/2026 |
If you would invest 0.00 in T Rowe on December 2, 2025 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 90 days. T Rowe is related to or competes with T Rowe, Invesco SP, Virtus WMC, Pacer CFRA, SmartETFs Asia, First Trust, and IShares Texas. T Rowe is entity of United States. It is traded as Etf on NASDAQ exchange. 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 | 1.58 | |||
| Information Ratio | 0.2716 | |||
| Maximum Drawdown | 6.48 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 1.98 |
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 | 0.2666 | |||
| Jensen Alpha | 0.3761 | |||
| Total Risk Alpha | 0.2899 | |||
| Sortino Ratio | 0.2158 | |||
| Treynor Ratio | 0.749 |
T Rowe March 2, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.2666 | |||
| Market Risk Adjusted Performance | 0.759 | |||
| Mean Deviation | 0.9263 | |||
| Semi Deviation | 1.04 | |||
| Downside Deviation | 1.58 | |||
| Coefficient Of Variation | 291.43 | |||
| Standard Deviation | 1.26 | |||
| Variance | 1.58 | |||
| Information Ratio | 0.2716 | |||
| Jensen Alpha | 0.3761 | |||
| Total Risk Alpha | 0.2899 | |||
| Sortino Ratio | 0.2158 | |||
| Treynor Ratio | 0.749 | |||
| Maximum Drawdown | 6.48 | |||
| Value At Risk | (1.23) | |||
| Potential Upside | 1.98 | |||
| Downside Variance | 2.5 | |||
| Semi Variance | 1.09 | |||
| Expected Short fall | (1.06) | |||
| Skewness | (1.03) | |||
| Kurtosis | 2.28 |
T Rowe Price Backtested Returns
T Rowe appears to be very steady, given 3 months investment horizon. T Rowe Price owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.31, which indicates the etf had a 0.31 % 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 review T Rowe's Downside Deviation of 1.58, risk adjusted performance of 0.2666, and Market Risk Adjusted Performance of 0.759 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 0.56, 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 | 0.88 |
Very good predictability
T Rowe Price has very good predictability. Overlapping area represents the amount of predictability between T Rowe time series from 2nd of December 2025 to 16th of January 2026 and 16th of January 2026 to 2nd of March 2026. 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 0.88 indicates that approximately 88.0% of current T Rowe price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.88 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 1.11 |
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Check out T Rowe Correlation, T Rowe Volatility and T Rowe Performance module to complement your research on T Rowe. You can also try the Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for 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.