Day Haganned Davis Etf Market Value

SSXU Etf  USD 29.01  0.02  0.07%   
Day HaganNed's market value is the price at which a share of Day HaganNed trades on a public exchange. It measures the collective expectations of Day HaganNed Davis investors about its performance. Day HaganNed is selling for under 29.01 as of the 25th of November 2024; that is 0.07 percent increase since the beginning of the trading day. The etf's last reported lowest price was 28.96.
With this module, you can estimate the performance of a buy and hold strategy of Day HaganNed Davis and determine expected loss or profit from investing in Day HaganNed over a given investment horizon. Check out Day HaganNed Correlation, Day HaganNed Volatility and Day HaganNed Alpha and Beta module to complement your research on Day HaganNed.
Symbol

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

Day HaganNed '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 Day HaganNed'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 Day HaganNed.
0.00
12/06/2022
No Change 0.00  0.0 
In 1 year 11 months and 22 days
11/25/2024
0.00
If you would invest  0.00  in Day HaganNed on December 6, 2022 and sell it all today you would earn a total of 0.00 from holding Day HaganNed Davis or generate 0.0% return on investment in Day HaganNed over 720 days. Day HaganNed is related to or competes with Dimensional Core, Dimensional Emerging, Dimensional Targeted, Dimensional Small, and Dimensional Core. Day HaganNed is entity of United States. It is traded as Etf on NYSE ARCA exchange. More

Day HaganNed 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 Day HaganNed'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 Day HaganNed Davis upside and downside potential and time the market with a certain degree of confidence.

Day HaganNed Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Day HaganNed's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Day HaganNed's standard deviation. In reality, there are many statistical measures that can use Day HaganNed historical prices to predict the future Day HaganNed's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Day HaganNed'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
28.1229.0129.90
Details
Intrinsic
Valuation
LowRealHigh
28.3029.1930.08
Details
Naive
Forecast
LowNextHigh
27.6628.5629.45
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
28.9829.0029.02
Details

Day HaganNed Davis Backtested Returns

Day HaganNed Davis secures Sharpe Ratio (or Efficiency) of -0.0363, which denotes the etf had a -0.0363% return per unit of risk over the last 3 months. Day HaganNed Davis exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Day HaganNed's Standard Deviation of 0.9093, mean deviation of 0.6916, and Variance of 0.8269 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.5, which means possible diversification benefits within a given portfolio. As returns on the market increase, Day HaganNed's returns are expected to increase less than the market. However, during the bear market, the loss of holding Day HaganNed is expected to be smaller as well.

Auto-correlation

    
  -0.05  

Very weak reverse predictability

Day HaganNed Davis has very weak reverse predictability. Overlapping area represents the amount of predictability between Day HaganNed time series from 6th of December 2022 to 1st of December 2023 and 1st of December 2023 to 25th 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 Day HaganNed Davis price movement. The serial correlation of -0.05 indicates that only as little as 5.0% of current Day HaganNed price fluctuation can be explain by its past prices.
Correlation Coefficient-0.05
Spearman Rank Test-0.03
Residual Average0.0
Price Variance1.26

Day HaganNed Davis lagged returns against current returns

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

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

Day HaganNed Lagged Returns

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

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
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When determining whether Day HaganNed Davis is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Day Etf is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Day Haganned Davis Etf. Highlighted below are key reports to facilitate an investment decision about Day Haganned Davis Etf:
Check out Day HaganNed Correlation, Day HaganNed Volatility and Day HaganNed Alpha and Beta module to complement your research on Day HaganNed.
You can also try the Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Day HaganNed 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 Day HaganNed technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Day HaganNed 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...