Etf Series Solutions Etf Market Value
| TRFM Etf | USD 39.56 0.23 0.58% |
| Symbol | ETF |
The market value of ETF Series Solutions is measured differently than its book value, which is the value of ETF that is recorded on the company's balance sheet. Investors also form their own opinion of ETF Series' value that differs from its market value or its book value, called intrinsic value, which is ETF Series' 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 ETF Series' market value can be influenced by many factors that don't directly affect ETF Series' 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 ETF Series' value and its price as these two are different measures arrived at by different means. Investors typically determine if ETF Series is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ETF Series' 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.
ETF Series '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 ETF Series' 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 ETF Series.
| 11/03/2024 |
| 12/03/2024 |
If you would invest 0.00 in ETF Series on November 3, 2024 and sell it all today you would earn a total of 0.00 from holding ETF Series Solutions or generate 0.0% return on investment in ETF Series over 30 days. ETF Series is related to or competes with Vanguard Information, Technology Select, IShares Technology, VanEck Semiconductor, IShares Semiconductor, First Trust, and Fidelity MSCI. The fund uses a passive management approach to track the total return performance, before fees and expenses, of the inde... More
ETF Series 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 ETF Series' 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 ETF Series Solutions upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.33 | |||
| Information Ratio | 0.1201 | |||
| Maximum Drawdown | 5.23 | |||
| Value At Risk | (1.87) | |||
| Potential Upside | 2.46 |
ETF Series Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ETF Series' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ETF Series' standard deviation. In reality, there are many statistical measures that can use ETF Series historical prices to predict the future ETF Series' volatility.| Risk Adjusted Performance | 0.172 | |||
| Jensen Alpha | 0.126 | |||
| Total Risk Alpha | 0.0777 | |||
| Sortino Ratio | 0.1119 | |||
| Treynor Ratio | 0.219 |
ETF Series Solutions Backtested Returns
ETF Series appears to be very steady, given 3 months investment horizon. ETF Series Solutions secures Sharpe Ratio (or Efficiency) of 0.29, which denotes the etf had a 0.29% return per unit of return volatility over the last 3 months. We have found twenty-nine technical indicators for ETF Series Solutions, which you can use to evaluate the volatility of the entity. Please utilize ETF Series' mean deviation of 0.9104, and Downside Deviation of 1.33 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of 1.2, which means 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, ETF Series will likely underperform.
Auto-correlation | 0.78 |
Good predictability
ETF Series Solutions has good predictability. Overlapping area represents the amount of predictability between ETF Series time series from 3rd of November 2024 to 18th of November 2024 and 18th of November 2024 to 3rd 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 ETF Series Solutions price movement. The serial correlation of 0.78 indicates that around 78.0% of current ETF Series price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.78 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.5 |
ETF Series Solutions lagged returns against current returns
Autocorrelation, which is ETF Series 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 ETF Series' etf expected returns. We can calculate the autocorrelation of ETF Series returns to help us make a trade decision. For example, suppose you find that ETF Series 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 |
ETF Series 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 ETF Series etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ETF Series etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ETF Series etf over time.
Current vs Lagged Prices |
| Timeline |
ETF Series Lagged Returns
When evaluating ETF Series' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ETF Series etf have on its future price. ETF Series 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, ETF Series autocorrelation shows the relationship between ETF Series etf current value and its past values and can show if there is a momentum factor associated with investing in ETF Series Solutions.
Regressed Prices |
| Timeline |
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ETF Series 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.