Listed Funds Trust Etf Market Value
| DIVZ Etf | USD 29.38 0.09 0.31% |
| Symbol | Listed |
The market value of Listed Funds Trust is measured differently than its book value, which is the value of Listed that is recorded on the company's balance sheet. Investors also form their own opinion of Listed Funds' value that differs from its market value or its book value, called intrinsic value, which is Listed Funds' 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 Listed Funds' market value can be influenced by many factors that don't directly affect Listed Funds' 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 Listed Funds' value and its price as these two are different measures arrived at by different means. Investors typically determine if Listed Funds is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Listed Funds' 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.
Listed Funds '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 Listed Funds' 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 Listed Funds.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Listed Funds on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding Listed Funds Trust or generate 0.0% return on investment in Listed Funds over 30 days. Listed Funds is related to or competes with Hartford Multifactor, Hartford Multifactor, IShares Equity, SPDR MSCI, and IShares MSCI. The fund is an actively-managed ETF that seeks to achieve its investment objective by purchasing 25-35 stocks of compani... More
Listed Funds 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 Listed Funds' 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 Listed Funds Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.694 | |||
| Information Ratio | 0.0243 | |||
| Maximum Drawdown | 2.95 | |||
| Value At Risk | (0.94) | |||
| Potential Upside | 1.06 |
Listed Funds Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Listed Funds' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Listed Funds' standard deviation. In reality, there are many statistical measures that can use Listed Funds historical prices to predict the future Listed Funds' volatility.| Risk Adjusted Performance | 0.1126 | |||
| Jensen Alpha | 0.0258 | |||
| Total Risk Alpha | 0.0169 | |||
| Sortino Ratio | 0.0213 | |||
| Treynor Ratio | 0.115 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Listed Funds' 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.
Listed Funds Trust Backtested Returns
We consider Listed Funds very steady. Listed Funds Trust has Sharpe Ratio of 0.16, which conveys that the entity had a 0.16% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Listed Funds, which you can use to evaluate the volatility of the etf. Please verify Listed Funds' Downside Deviation of 0.694, risk adjusted performance of 0.1126, and Mean Deviation of 0.4799 to check out if the risk estimate we provide is consistent with the expected return of 0.095%. The etf secures a Beta (Market Risk) of 0.87, which conveys possible diversification benefits within a given portfolio. Listed Funds returns are very sensitive to returns on the market. As the market goes up or down, Listed Funds is expected to follow.
Auto-correlation | -0.71 |
Almost perfect reverse predictability
Listed Funds Trust has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Listed Funds time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Listed Funds Trust price movement. The serial correlation of -0.71 indicates that around 71.0% of current Listed Funds price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.71 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Listed Funds Trust lagged returns against current returns
Autocorrelation, which is Listed Funds 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 Listed Funds' etf expected returns. We can calculate the autocorrelation of Listed Funds returns to help us make a trade decision. For example, suppose you find that Listed Funds 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 |
Listed Funds 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 Listed Funds etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Listed Funds etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Listed Funds etf over time.
Current vs Lagged Prices |
| Timeline |
Listed Funds Lagged Returns
When evaluating Listed Funds' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Listed Funds etf have on its future price. Listed Funds 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, Listed Funds autocorrelation shows the relationship between Listed Funds etf current value and its past values and can show if there is a momentum factor associated with investing in Listed Funds Trust.
Regressed Prices |
| Timeline |
Pair Trading with Listed Funds
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 Listed Funds 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 Listed Funds will appreciate offsetting losses from the drop in the long position's value.Moving together with Listed Etf
| 0.92 | VTV | Vanguard Value Index | PairCorr |
| 0.94 | VYM | Vanguard High Dividend | PairCorr |
| 0.94 | IWD | iShares Russell 1000 Sell-off Trend | PairCorr |
| 0.9 | DGRO | iShares Core Dividend | PairCorr |
| 0.91 | IVE | iShares SP 500 | PairCorr |
The ability to find closely correlated positions to Listed Funds could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Listed Funds 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 Listed Funds - 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 Listed Funds Trust to buy it.
The correlation of Listed Funds 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 Listed Funds moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Listed Funds Trust 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 Listed Funds 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 Listed Funds Correlation, Listed Funds Volatility and Listed Funds Alpha and Beta module to complement your research on Listed Funds. You can also try the FinTech Suite module to use AI to screen and filter profitable investment opportunities.
Listed Funds 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.