A Spac Ii Stock Market Value

ASUUF Stock   10.92  0.00  0.00%   
A SPAC's market value is the price at which a share of A SPAC trades on a public exchange. It measures the collective expectations of A SPAC II investors about its performance. A SPAC is trading at 10.92 as of the 26th of November 2024. This is a No Change since the beginning of the trading day. The stock's lowest day price was 10.92.
With this module, you can estimate the performance of a buy and hold strategy of A SPAC II and determine expected loss or profit from investing in A SPAC over a given investment horizon. Check out A SPAC Correlation, A SPAC Volatility and A SPAC Alpha and Beta module to complement your research on A SPAC.
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Is Shell Companies space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of A SPAC. If investors know ASUUF will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about A SPAC listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of A SPAC II is measured differently than its book value, which is the value of ASUUF that is recorded on the company's balance sheet. Investors also form their own opinion of A SPAC's value that differs from its market value or its book value, called intrinsic value, which is A SPAC'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 A SPAC's market value can be influenced by many factors that don't directly affect A SPAC'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 A SPAC's value and its price as these two are different measures arrived at by different means. Investors typically determine if A SPAC is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, A SPAC'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.

A SPAC '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 A SPAC's stock 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 A SPAC.
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10/27/2024
No Change 0.00  0.0 
In 31 days
11/26/2024
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If you would invest  0.00  in A SPAC on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding A SPAC II or generate 0.0% return on investment in A SPAC over 30 days. A SPAC is related to or competes with Presidio Property, CAVA Group,, Montauk Renewables, SEI Investments, RCI Hospitality, Old Republic, and Cracker Barrel. A SPAC is entity of United States. It is traded as Stock on NASDAQ exchange. More

A SPAC 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 A SPAC's stock 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 A SPAC II upside and downside potential and time the market with a certain degree of confidence.

A SPAC Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for A SPAC's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as A SPAC's standard deviation. In reality, there are many statistical measures that can use A SPAC historical prices to predict the future A SPAC's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of A SPAC'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
10.2810.9211.56
Details
Intrinsic
Valuation
LowRealHigh
9.9810.6211.26
Details
Naive
Forecast
LowNextHigh
10.2410.8811.51
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
10.9210.9210.92
Details

A SPAC II Backtested Returns

A SPAC II secures Sharpe Ratio (or Efficiency) of -0.17, which signifies that the company had a -0.17% return per unit of risk over the last 3 months. A SPAC II exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm A SPAC's Mean Deviation of 0.2106, coefficient of variation of (595.80), and Variance of 0.4138 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.0941, which signifies not very significant fluctuations relative to the market. As returns on the market increase, A SPAC's returns are expected to increase less than the market. However, during the bear market, the loss of holding A SPAC is expected to be smaller as well. At this point, A SPAC II has a negative expected return of -0.11%. Please make sure to confirm A SPAC's information ratio and rate of daily change , to decide if A SPAC II performance from the past will be repeated sooner or later.

Auto-correlation

    
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No correlation between past and present

A SPAC II has no correlation between past and present. Overlapping area represents the amount of predictability between A SPAC 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 A SPAC II price movement. The serial correlation of 0.0 indicates that just 0.0% of current A SPAC price fluctuation can be explain by its past prices.
Correlation Coefficient0.0
Spearman Rank Test1.0
Residual Average0.0
Price Variance0.0

A SPAC II lagged returns against current returns

Autocorrelation, which is A SPAC stock'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 A SPAC's stock expected returns. We can calculate the autocorrelation of A SPAC returns to help us make a trade decision. For example, suppose you find that A SPAC has exhibited high autocorrelation historically, and you observe that the stock 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  

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

A SPAC Lagged Returns

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

Currently Active Assets on Macroaxis

When determining whether A SPAC II is a strong investment it is important to analyze A SPAC'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 A SPAC's future performance. For an informed investment choice regarding ASUUF Stock, refer to the following important reports:
Check out A SPAC Correlation, A SPAC Volatility and A SPAC Alpha and Beta module to complement your research on A SPAC.
You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
A SPAC technical stock 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, stock market cycles, or different charting patterns.
A focus of A SPAC technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of A SPAC 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...