Etracs Quarterly Pay Etf Market Value

BDCX Etf  USD 31.90  0.22  0.69%   
ETRACS Quarterly's market value is the price at which a share of ETRACS Quarterly trades on a public exchange. It measures the collective expectations of ETRACS Quarterly Pay investors about its performance. ETRACS Quarterly is trading at 31.90 as of the 26th of November 2024; that is 0.69% increase since the beginning of the trading day. The etf's open price was 31.68.
With this module, you can estimate the performance of a buy and hold strategy of ETRACS Quarterly Pay and determine expected loss or profit from investing in ETRACS Quarterly over a given investment horizon. Check out ETRACS Quarterly Correlation, ETRACS Quarterly Volatility and ETRACS Quarterly Alpha and Beta module to complement your research on ETRACS Quarterly.
Symbol

The market value of ETRACS Quarterly Pay is measured differently than its book value, which is the value of ETRACS that is recorded on the company's balance sheet. Investors also form their own opinion of ETRACS Quarterly's value that differs from its market value or its book value, called intrinsic value, which is ETRACS Quarterly'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 ETRACS Quarterly's market value can be influenced by many factors that don't directly affect ETRACS Quarterly'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 ETRACS Quarterly's value and its price as these two are different measures arrived at by different means. Investors typically determine if ETRACS Quarterly is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, ETRACS Quarterly'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.

ETRACS Quarterly '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 ETRACS Quarterly'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 ETRACS Quarterly.
0.00
10/27/2024
No Change 0.00  0.0 
In 31 days
11/26/2024
0.00
If you would invest  0.00  in ETRACS Quarterly on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding ETRACS Quarterly Pay or generate 0.0% return on investment in ETRACS Quarterly over 30 days. ETRACS Quarterly is related to or competes with ETRACS Monthly, ETRACS Monthly, ETRACS Monthly, IShares Trust, and ETRACS 2xMonthly. The index is intended to measure the performance of all business development companies listed on the New York Stock Exch... More

ETRACS Quarterly 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 ETRACS Quarterly'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 ETRACS Quarterly Pay upside and downside potential and time the market with a certain degree of confidence.

ETRACS Quarterly Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for ETRACS Quarterly's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ETRACS Quarterly's standard deviation. In reality, there are many statistical measures that can use ETRACS Quarterly historical prices to predict the future ETRACS Quarterly's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of ETRACS Quarterly'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.
Hype
Prediction
LowEstimatedHigh
30.8131.9233.03
Details
Intrinsic
Valuation
LowRealHigh
30.4931.6032.71
Details
Naive
Forecast
LowNextHigh
31.2432.3533.46
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
30.4731.1931.90
Details

ETRACS Quarterly Pay Backtested Returns

At this stage we consider ETRACS Etf to be very steady. ETRACS Quarterly Pay secures Sharpe Ratio (or Efficiency) of 0.0812, which denotes the etf had a 0.0812% return per unit of volatility over the last 3 months. We have found twenty-seven technical indicators for ETRACS Quarterly Pay, which you can use to evaluate the volatility of the entity. Please confirm ETRACS Quarterly's Downside Deviation of 1.02, market risk adjusted performance of 0.1302, and Mean Deviation of 0.8913 to check if the risk estimate we provide is consistent with the expected return of 0.091%. The etf shows a Beta (market volatility) of 0.77, which means possible diversification benefits within a given portfolio. As returns on the market increase, ETRACS Quarterly's returns are expected to increase less than the market. However, during the bear market, the loss of holding ETRACS Quarterly is expected to be smaller as well.

Auto-correlation

    
  -0.06  

Very weak reverse predictability

ETRACS Quarterly Pay has very weak reverse predictability. Overlapping area represents the amount of predictability between ETRACS Quarterly time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th of November 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 ETRACS Quarterly Pay price movement. The serial correlation of -0.06 indicates that barely 6.0% of current ETRACS Quarterly price fluctuation can be explain by its past prices.
Correlation Coefficient-0.06
Spearman Rank Test0.19
Residual Average0.0
Price Variance0.14

ETRACS Quarterly Pay lagged returns against current returns

Autocorrelation, which is ETRACS Quarterly 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 ETRACS Quarterly's etf expected returns. We can calculate the autocorrelation of ETRACS Quarterly returns to help us make a trade decision. For example, suppose you find that ETRACS Quarterly 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  

ETRACS Quarterly 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 ETRACS Quarterly etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ETRACS Quarterly etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ETRACS Quarterly etf over time.
   Current vs Lagged Prices   
       Timeline  

ETRACS Quarterly Lagged Returns

When evaluating ETRACS Quarterly's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ETRACS Quarterly etf have on its future price. ETRACS Quarterly 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, ETRACS Quarterly autocorrelation shows the relationship between ETRACS Quarterly etf current value and its past values and can show if there is a momentum factor associated with investing in ETRACS Quarterly Pay.
   Regressed Prices   
       Timeline  

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether ETRACS Quarterly Pay is a strong investment it is important to analyze ETRACS Quarterly's 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 ETRACS Quarterly's future performance. For an informed investment choice regarding ETRACS Etf, refer to the following important reports:
Check out ETRACS Quarterly Correlation, ETRACS Quarterly Volatility and ETRACS Quarterly Alpha and Beta module to complement your research on ETRACS Quarterly.
You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
ETRACS Quarterly 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 ETRACS Quarterly technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of ETRACS Quarterly 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...