Trust For Professional Etf Market Value

APMU Etf   24.91  0.03  0.12%   
Trust For's market value is the price at which a share of Trust For trades on a public exchange. It measures the collective expectations of Trust For Professional investors about its performance. Trust For is selling for under 24.91 as of the 11th of December 2024; that is 0.12 percent down since the beginning of the trading day. The etf's last reported lowest price was 24.91.
With this module, you can estimate the performance of a buy and hold strategy of Trust For Professional and determine expected loss or profit from investing in Trust For over a given investment horizon. Check out Trust For Correlation, Trust For Volatility and Trust For Alpha and Beta module to complement your research on Trust For.
Symbol

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

Trust For '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 Trust For'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 Trust For.
0.00
11/11/2024
No Change 0.00  0.0 
In 31 days
12/11/2024
0.00
If you would invest  0.00  in Trust For on November 11, 2024 and sell it all today you would earn a total of 0.00 from holding Trust For Professional or generate 0.0% return on investment in Trust For over 30 days. Trust For is related to or competes with BlackRock High, IShares IBonds, IShares Short, and IShares IBonds. Trust For is entity of United States. It is traded as Etf on NYSE ARCA exchange. More

Trust For 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 Trust For'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 Trust For Professional upside and downside potential and time the market with a certain degree of confidence.

Trust For Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Trust For's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Trust For's standard deviation. In reality, there are many statistical measures that can use Trust For historical prices to predict the future Trust For's volatility.
Hype
Prediction
LowEstimatedHigh
24.7624.9425.12
Details
Intrinsic
Valuation
LowRealHigh
23.7323.9127.43
Details
Naive
Forecast
LowNextHigh
24.7324.9125.09
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
24.9324.9524.98
Details

Trust For Professional Backtested Returns

Currently, Trust For Professional is very steady. Trust For Professional owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.015, which indicates the etf had a 0.015% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Trust For Professional, which you can use to evaluate the volatility of the etf. Please validate Trust For's Risk Adjusted Performance of (0.02), semi deviation of 0.1728, and Coefficient Of Variation of 4668.4 to confirm if the risk estimate we provide is consistent with the expected return of 0.0027%. The entity has a beta of -0.0625, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Trust For are expected to decrease at a much lower rate. During the bear market, Trust For is likely to outperform the market.

Auto-correlation

    
  0.58  

Modest predictability

Trust For Professional has modest predictability. Overlapping area represents the amount of predictability between Trust For time series from 11th of November 2024 to 26th of November 2024 and 26th of November 2024 to 11th of December 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 Trust For Professional price movement. The serial correlation of 0.58 indicates that roughly 58.0% of current Trust For price fluctuation can be explain by its past prices.
Correlation Coefficient0.58
Spearman Rank Test0.32
Residual Average0.0
Price Variance0.0

Trust For Professional lagged returns against current returns

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

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

Trust For Lagged Returns

When evaluating Trust For's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Trust For etf have on its future price. Trust For 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, Trust For autocorrelation shows the relationship between Trust For etf current value and its past values and can show if there is a momentum factor associated with investing in Trust For Professional.
   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 Trust For Professional is a strong investment it is important to analyze Trust For'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 Trust For's future performance. For an informed investment choice regarding Trust Etf, refer to the following important reports:
Check out Trust For Correlation, Trust For Volatility and Trust For Alpha and Beta module to complement your research on Trust For.
You can also try the CEOs Directory module to screen CEOs from public companies around the world.
Trust For 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 Trust For technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Trust For 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...