Ishares Self Driving Ev Etf Market Value

IDRV Etf  USD 29.62  0.28  0.95%   
IShares Self's market value is the price at which a share of IShares Self trades on a public exchange. It measures the collective expectations of iShares Self Driving EV investors about its performance. IShares Self is selling for under 29.62 as of the 26th of November 2024; that is 0.95 percent increase since the beginning of the trading day. The etf's lowest day price was 29.51.
With this module, you can estimate the performance of a buy and hold strategy of iShares Self Driving EV and determine expected loss or profit from investing in IShares Self over a given investment horizon. Check out IShares Self Correlation, IShares Self Volatility and IShares Self Alpha and Beta module to complement your research on IShares Self.
Symbol

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

IShares Self '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 IShares Self'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 IShares Self.
0.00
07/05/2023
No Change 0.00  0.0 
In 1 year 4 months and 26 days
11/26/2024
0.00
If you would invest  0.00  in IShares Self on July 5, 2023 and sell it all today you would earn a total of 0.00 from holding iShares Self Driving EV or generate 0.0% return on investment in IShares Self over 510 days. IShares Self is related to or competes with Gabelli ETFs, First Trust, Northern Lights, and First Trust. The index is composed of equity securities of companies listed in one of 43 developed or emerging market countries that ... More

IShares Self 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 IShares Self'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 iShares Self Driving EV upside and downside potential and time the market with a certain degree of confidence.

IShares Self Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for IShares Self's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as IShares Self's standard deviation. In reality, there are many statistical measures that can use IShares Self historical prices to predict the future IShares Self's volatility.
Hype
Prediction
LowEstimatedHigh
27.7729.5731.37
Details
Intrinsic
Valuation
LowRealHigh
27.9229.7231.52
Details

iShares Self Driving Backtested Returns

At this stage we consider IShares Etf to be very steady. iShares Self Driving holds Efficiency (Sharpe) Ratio of 0.0481, which attests that the entity had a 0.0481% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for iShares Self Driving, which you can use to evaluate the volatility of the entity. Please check out IShares Self's Risk Adjusted Performance of 0.0233, market risk adjusted performance of 0.0543, and Downside Deviation of 1.9 to validate if the risk estimate we provide is consistent with the expected return of 0.0867%. The etf retains a Market Volatility (i.e., Beta) of 0.71, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, IShares Self's returns are expected to increase less than the market. However, during the bear market, the loss of holding IShares Self is expected to be smaller as well.

Auto-correlation

    
  0.07  

Virtually no predictability

iShares Self Driving EV has virtually no predictability. Overlapping area represents the amount of predictability between IShares Self time series from 5th of July 2023 to 16th of March 2024 and 16th of March 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 iShares Self Driving price movement. The serial correlation of 0.07 indicates that barely 7.0% of current IShares Self price fluctuation can be explain by its past prices.
Correlation Coefficient0.07
Spearman Rank Test0.07
Residual Average0.0
Price Variance1.55

iShares Self Driving lagged returns against current returns

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

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

IShares Self Lagged Returns

When evaluating IShares Self's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of IShares Self etf have on its future price. IShares Self 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, IShares Self autocorrelation shows the relationship between IShares Self etf current value and its past values and can show if there is a momentum factor associated with investing in iShares Self Driving EV.
   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 iShares Self Driving is a strong investment it is important to analyze IShares Self'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 IShares Self's future performance. For an informed investment choice regarding IShares Etf, refer to the following important reports:
Check out IShares Self Correlation, IShares Self Volatility and IShares Self Alpha and Beta module to complement your research on IShares Self.
You can also try the Portfolio Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
IShares Self 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 IShares Self technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of IShares Self 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...