T Rowe Price Stock Market Value
| TROW Stock | USD 111.50 2.77 2.55% |
| Symbol | TROW |
T Rowe Price Price To Book Ratio
Is T Rowe's industry 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 T Rowe. If investors know TROW 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 T Rowe 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 0.65 | Dividend Share 4.88 | Earnings Share 7.75 | Revenue Per Share 28.829 | Quarterly Revenue Growth 0.077 |
The market value of T Rowe Price is measured differently than its book value, which is the value of TROW 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 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 T Rowe.
| 05/04/2022 |
| 04/23/2024 |
If you would invest 0.00 in T Rowe on May 4, 2022 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 720 days. T Rowe is related to or competes with Invesco Plc, Bank of New York, Principal Financial, Ameriprise Financial, Blackstone, State Street, and KKR Co. Rowe Price Group, Inc. is a publicly owned investment manager 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 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 T Rowe Price upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.58 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 8.21 | |||
| Value At Risk | (2.40) | |||
| Potential Upside | 2.71 |
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 | 0.0341 | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0331 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of T Rowe'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.
T Rowe Price Backtested Returns
We consider T Rowe very steady. T Rowe Price owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0354, which indicates the company had a 0.0354% return per unit of standard deviation over the last 3 months. We have found twenty-eight technical indicators for T Rowe Price, which you can use to evaluate the volatility of the entity. Please validate T Rowe's Risk Adjusted Performance of 0.0341, downside deviation of 1.58, and Market Risk Adjusted Performance of 0.0431 to confirm if the risk estimate we provide is consistent with the expected return of 0.0542%. T Rowe has a performance score of 2 on a scale of 0 to 100. The firm has a beta of 1.8, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, T Rowe will likely underperform. T Rowe Price at this moment has a risk of 1.53%. Please validate T Rowe total risk alpha, downside variance, as well as the relationship between the Downside Variance and daily balance of power , to decide if T Rowe will be following its existing price patterns.
Auto-correlation | 0.03 |
Virtually no predictability
T Rowe Price has virtually no predictability. Overlapping area represents the amount of predictability between T Rowe time series from 4th of May 2022 to 29th of April 2023 and 29th of April 2023 to 23rd of April 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 0.03 indicates that only 3.0% of current T Rowe price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.03 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 53.56 |
T Rowe Price lagged returns against current returns
Autocorrelation, which is T Rowe 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 T Rowe's stock 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 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 |
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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if T Rowe stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in T Rowe stock 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 stock 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 stock 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 |
T Rowe Investors Sentiment
The influence of T Rowe's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in TROW. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to T Rowe's public news can be used to forecast risks associated with an investment in TROW. The trend in average sentiment can be used to explain how an investor holding TROW can time the market purely based on public headlines and social activities around T Rowe Price. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
T Rowe's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for T Rowe's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average T Rowe's news discussions. The higher the estimated score, the more favorable is the investor's outlook on T Rowe.
T Rowe Implied Volatility | 30.35 |
T Rowe's implied volatility exposes the market's sentiment of T Rowe Price stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if T Rowe's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that T Rowe stock will not fluctuate a lot when T Rowe's options are near their expiration.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards T Rowe in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, T Rowe's short interest history, or implied volatility extrapolated from T Rowe options trading.
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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 TROW Stock, 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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
Complementary Tools for TROW Stock analysis
When running T Rowe's price analysis, check to measure T Rowe's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy T Rowe is operating at the current time. Most of T Rowe's value examination focuses on studying past and present price action to predict the probability of T Rowe's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move T Rowe's price. Additionally, you may evaluate how the addition of T Rowe to your portfolios can decrease your overall portfolio volatility.
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T Rowe 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.