T Rowe Price Etf Market Value
| TOTR Etf | USD 40.75 0.02 0.05% |
| Symbol | TOTR |
The market value of T Rowe Price is measured differently than its book value, which is the value of TOTR 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.
| 01/12/2023 |
| 12/02/2024 |
If you would invest 0.00 in T Rowe on January 12, 2023 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 690 days. T Rowe is related to or competes with T Rowe, T Rowe, T Rowe, T Rowe, and T Rowe. The fund invests in a diversified portfolio of bonds and other debt instruments 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.
| Information Ratio | (0.41) | |||
| Maximum Drawdown | 1.54 | |||
| Value At Risk | (0.62) | |||
| Potential Upside | 0.5232 |
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 | (0.02) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.07) | |||
| Treynor Ratio | 0.2855 |
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
T Rowe Price owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0127, which indicates the etf had a -0.0127% return per unit of standard deviation over the last 3 months. T Rowe Price exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate T Rowe's Standard Deviation of 0.3432, risk adjusted performance of (0.02), and Market Risk Adjusted Performance of 0.2955 to confirm the risk estimate we provide. The entity has a beta of -0.046, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning T Rowe are expected to decrease at a much lower rate. During the bear market, T Rowe is likely to outperform the market.
Auto-correlation | -0.72 |
Almost perfect reverse predictability
T Rowe Price has almost perfect reverse predictability. Overlapping area represents the amount of predictability between T Rowe time series from 12th of January 2023 to 23rd of December 2023 and 23rd of December 2023 to 2nd 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 -0.72 indicates that around 72.0% of current T Rowe price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.72 | |
| Spearman Rank Test | -0.33 | |
| Residual Average | 0.0 | |
| Price Variance | 0.97 |
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 |
Pair Trading with T Rowe
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if T Rowe position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in T Rowe will appreciate offsetting losses from the drop in the long position's value.Moving together with TOTR Etf
| 1.0 | IUSB | iShares Core Total | PairCorr |
| 0.99 | FIXD | First Trust TCW Sell-off Trend | PairCorr |
| 1.0 | FBND | Fidelity Total Bond | PairCorr |
| 0.99 | TOTL | SPDR DoubleLine Total | PairCorr |
| 0.99 | HTRB | Hartford Total Return | PairCorr |
Moving against TOTR Etf
| 0.86 | DSJA | DSJA | PairCorr |
| 0.85 | TSJA | TSJA | PairCorr |
| 0.76 | XTJA | Innovator ETFs Trust | PairCorr |
| 0.76 | XDJA | Innovator ETFs Trust | PairCorr |
| 0.75 | QTJA | Innovator ETFs Trust | PairCorr |
The ability to find closely correlated positions to T Rowe could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace T Rowe when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back T Rowe - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling T Rowe Price to buy it.
The correlation of T Rowe is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as T Rowe moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if T Rowe Price moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for T Rowe can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.
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.