Touchstone Etf Trust Etf Market Value
Touchstone ETF's market value is the price at which a share of Touchstone ETF trades on a public exchange. It measures the collective expectations of Touchstone ETF Trust investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of Touchstone ETF Trust and determine expected loss or profit from investing in Touchstone ETF over a given investment horizon. Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in income.
| Symbol | Touchstone |
The market value of Touchstone ETF Trust is measured differently than its book value, which is the value of Touchstone that is recorded on the company's balance sheet. Investors also form their own opinion of Touchstone ETF's value that differs from its market value or its book value, called intrinsic value, which is Touchstone ETF'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 Touchstone ETF's market value can be influenced by many factors that don't directly affect Touchstone ETF'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 Touchstone ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if Touchstone ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Touchstone ETF'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.
Touchstone ETF '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 Touchstone ETF'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 Touchstone ETF.
| 02/10/2024 |
| 01/05/2025 |
If you would invest 0.00 in Touchstone ETF on February 10, 2024 and sell it all today you would earn a total of 0.00 from holding Touchstone ETF Trust or generate 0.0% return on investment in Touchstone ETF over 330 days. Touchstone ETF is related to or competes with Valued Advisers, Columbia Diversified, Principal Exchange, Doubleline Etf, Virtus Newfleet, Vident Core, and PIMCO Enhanced. More
Touchstone ETF 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 Touchstone ETF'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 Touchstone ETF Trust upside and downside potential and time the market with a certain degree of confidence.
Touchstone ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Touchstone ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Touchstone ETF's standard deviation. In reality, there are many statistical measures that can use Touchstone ETF historical prices to predict the future Touchstone ETF's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Touchstone ETF'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.
Touchstone ETF Trust Backtested Returns
At this point, Touchstone ETF is very steady. Touchstone ETF Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0875, which indicates the etf had a 0.0875% return per unit of risk over the last 3 months. We have found thirty technical indicators for Touchstone ETF Trust, which you can use to evaluate the volatility of the etf. Please validate Touchstone ETF's Semi Deviation of 0.0899, coefficient of variation of 1142.32, and Risk Adjusted Performance of 0.0333 to confirm if the risk estimate we provide is consistent with the expected return of 0.0149%. The entity has a beta of -0.0063, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Touchstone ETF are expected to decrease at a much lower rate. During the bear market, Touchstone ETF is likely to outperform the market.
Auto-correlation | 0.62 |
Good predictability
Touchstone ETF Trust has good predictability. Overlapping area represents the amount of predictability between Touchstone ETF time series from 10th of February 2024 to 24th of July 2024 and 24th of July 2024 to 5th of January 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 Touchstone ETF Trust price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current Touchstone ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.62 | |
| Spearman Rank Test | 0.62 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Touchstone ETF Trust lagged returns against current returns
Autocorrelation, which is Touchstone ETF 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 Touchstone ETF's etf expected returns. We can calculate the autocorrelation of Touchstone ETF returns to help us make a trade decision. For example, suppose you find that Touchstone ETF 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 |
Touchstone ETF 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 Touchstone ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Touchstone ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Touchstone ETF etf over time.
Current vs Lagged Prices |
| Timeline |
Touchstone ETF Lagged Returns
When evaluating Touchstone ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Touchstone ETF etf have on its future price. Touchstone ETF 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, Touchstone ETF autocorrelation shows the relationship between Touchstone ETF etf current value and its past values and can show if there is a momentum factor associated with investing in Touchstone ETF Trust.
Regressed Prices |
| Timeline |
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Check out Touchstone ETF Correlation, Touchstone ETF Volatility and Touchstone ETF Alpha and Beta module to complement your research on Touchstone ETF. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Touchstone ETF 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.