Listed Funds Trust Etf Market Value

AAA Etf  USD 25.14  0.01  0.04%   
Listed Funds' market value is the price at which a share of Listed Funds trades on a public exchange. It measures the collective expectations of Listed Funds Trust investors about its performance. Listed Funds is trading at 25.14 as of the 24th of April 2024, a 0.04 percent up since the beginning of the trading day. The etf's open price was 25.13.
With this module, you can estimate the performance of a buy and hold strategy of Listed Funds Trust and determine expected loss or profit from investing in Listed Funds over a given investment horizon. Check out Listed Funds Correlation, Listed Funds Volatility and Listed Funds Alpha and Beta module to complement your research on Listed Funds.
Symbol

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.
0.00
10/27/2023
No Change 0.00  0.0 
In 5 months and 30 days
04/24/2024
0.00
If you would invest  0.00  in Listed Funds on October 27, 2023 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 180 days. Listed Funds is related to or competes with IShares ESG, First Trust, First Trust, and First Trust. The fund is an actively-managed exchange-traded fund 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.

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.
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.
Hype
Prediction
LowEstimatedHigh
25.0125.1325.25
Details
Intrinsic
Valuation
LowRealHigh
22.9623.0827.64
Details
Naive
Forecast
LowNextHigh
25.0025.1225.24
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
24.9825.0825.18
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Listed Funds. Your research has to be compared to or analyzed against Listed Funds' peers to derive any actionable benefits. When done correctly, Listed Funds' competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Listed Funds Trust.

Listed Funds Trust Backtested Returns

We consider Listed Funds very steady. Listed Funds Trust has Sharpe Ratio of 0.22, which conveys that the entity had a 0.22% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Listed Funds, which you can use to evaluate the volatility of the etf. Please verify Listed Funds' Risk Adjusted Performance of 0.0838, mean deviation of 0.0844, and Coefficient Of Variation of 489.53 to check out if the risk estimate we provide is consistent with the expected return of 0.0255%. The etf secures a Beta (Market Risk) of -0.0048, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Listed Funds are expected to decrease at a much lower rate. During the bear market, Listed Funds is likely to outperform the market.

Auto-correlation

    
  0.97  

Excellent predictability

Listed Funds Trust has excellent predictability. Overlapping area represents the amount of predictability between Listed Funds time series from 27th of October 2023 to 25th of January 2024 and 25th of January 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 0.97 indicates that 97.0% of current Listed Funds price fluctuation can be explain by its past prices.
Correlation Coefficient0.97
Spearman Rank Test0.98
Residual Average0.0
Price Variance0.01

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

  0.97BIL SPDR Bloomberg 1PairCorr
  0.98SHV iShares Short TreasuryPairCorr
  0.96JPST JPMorgan Ultra ShortPairCorr
  0.95USFR WisdomTree Floating RatePairCorr
  0.96ICSH iShares Ultra ShortPairCorr

Moving against Listed Etf

  0.88YCL ProShares Ultra YenPairCorr
  0.83FXY Invesco CurrencySharesPairCorr
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.
Pair CorrelationCorrelation Matching
When determining whether Listed Funds Trust is a strong investment it is important to analyze Listed Funds' 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 Listed Funds' future performance. For an informed investment choice regarding Listed Etf, refer to the following important reports:
Check out Listed Funds Correlation, Listed Funds Volatility and Listed Funds Alpha and Beta module to complement your research on Listed Funds.
Note that the Listed Funds Trust information on this page should be used as a complementary analysis to other Listed Funds' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
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.
A focus of Listed Funds technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Listed Funds trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...