Victoryshares Discovery Enhanced Etf Market Value

CSF Etf  USD 59.65  0.45  0.75%   
VictoryShares Discovery's market value is the price at which a share of VictoryShares Discovery trades on a public exchange. It measures the collective expectations of VictoryShares Discovery Enhanced investors about its performance. VictoryShares Discovery is trading at 59.65 as of the 27th of November 2024. This is a 0.75 percent decrease since the beginning of the trading day. The etf's lowest day price was 59.55.
With this module, you can estimate the performance of a buy and hold strategy of VictoryShares Discovery Enhanced and determine expected loss or profit from investing in VictoryShares Discovery over a given investment horizon. Check out VictoryShares Discovery Correlation, VictoryShares Discovery Volatility and VictoryShares Discovery Alpha and Beta module to complement your research on VictoryShares Discovery.
Symbol

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

VictoryShares Discovery '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 VictoryShares Discovery'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 VictoryShares Discovery.
0.00
05/07/2023
No Change 0.00  0.0 
In 1 year 6 months and 24 days
11/27/2024
0.00
If you would invest  0.00  in VictoryShares Discovery on May 7, 2023 and sell it all today you would earn a total of 0.00 from holding VictoryShares Discovery Enhanced or generate 0.0% return on investment in VictoryShares Discovery over 570 days. VictoryShares Discovery is related to or competes with VictoryShares 500, VictoryShares 500, VictoryShares, and VictoryShares International. The fund seeks to achieve its investment objective by investing, under normal market conditions, at least 80 percent of ... More

VictoryShares Discovery 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 VictoryShares Discovery'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 VictoryShares Discovery Enhanced upside and downside potential and time the market with a certain degree of confidence.

VictoryShares Discovery Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for VictoryShares Discovery's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as VictoryShares Discovery's standard deviation. In reality, there are many statistical measures that can use VictoryShares Discovery historical prices to predict the future VictoryShares Discovery's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of VictoryShares Discovery'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
58.3959.7061.01
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Intrinsic
Valuation
LowRealHigh
50.8852.1965.62
Details

VictoryShares Discovery Backtested Returns

At this point, VictoryShares Discovery is very steady. VictoryShares Discovery owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the etf had a 0.13% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for VictoryShares Discovery Enhanced, which you can use to evaluate the volatility of the etf. Please validate VictoryShares Discovery's Semi Deviation of 0.725, risk adjusted performance of 0.1065, and Coefficient Of Variation of 745.72 to confirm if the risk estimate we provide is consistent with the expected return of 0.17%. The entity has a beta of 1.49, which indicates 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, VictoryShares Discovery will likely underperform.

Auto-correlation

    
  -0.54  

Good reverse predictability

VictoryShares Discovery Enhanced has good reverse predictability. Overlapping area represents the amount of predictability between VictoryShares Discovery time series from 7th of May 2023 to 16th of February 2024 and 16th of February 2024 to 27th 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 VictoryShares Discovery price movement. The serial correlation of -0.54 indicates that about 54.0% of current VictoryShares Discovery price fluctuation can be explain by its past prices.
Correlation Coefficient-0.54
Spearman Rank Test-0.65
Residual Average0.0
Price Variance8.23

VictoryShares Discovery lagged returns against current returns

Autocorrelation, which is VictoryShares Discovery 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 VictoryShares Discovery's etf expected returns. We can calculate the autocorrelation of VictoryShares Discovery returns to help us make a trade decision. For example, suppose you find that VictoryShares Discovery 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   
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VictoryShares Discovery 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 VictoryShares Discovery etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if VictoryShares Discovery etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in VictoryShares Discovery etf over time.
   Current vs Lagged Prices   
       Timeline  

VictoryShares Discovery Lagged Returns

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

Currently Active Assets on Macroaxis

When determining whether VictoryShares Discovery is a strong investment it is important to analyze VictoryShares Discovery'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 VictoryShares Discovery's future performance. For an informed investment choice regarding VictoryShares Etf, refer to the following important reports:
Check out VictoryShares Discovery Correlation, VictoryShares Discovery Volatility and VictoryShares Discovery Alpha and Beta module to complement your research on VictoryShares Discovery.
You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
VictoryShares Discovery 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 VictoryShares Discovery technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of VictoryShares Discovery 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...