Invesco Electric Vehicle Etf Market Value

EVMT Etf  USD 15.50  0.12  0.78%   
Invesco Electric's market value is the price at which a share of Invesco Electric trades on a public exchange. It measures the collective expectations of Invesco Electric Vehicle investors about its performance. Invesco Electric is selling for under 15.50 as of the 24th of November 2024; that is 0.78 percent increase since the beginning of the trading day. The etf's last reported lowest price was 15.5.
With this module, you can estimate the performance of a buy and hold strategy of Invesco Electric Vehicle and determine expected loss or profit from investing in Invesco Electric over a given investment horizon. Check out Invesco Electric Correlation, Invesco Electric Volatility and Invesco Electric Alpha and Beta module to complement your research on Invesco Electric.
Symbol

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

Invesco Electric '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 Invesco Electric'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 Invesco Electric.
0.00
11/30/2023
No Change 0.00  0.0 
In 11 months and 26 days
11/24/2024
0.00
If you would invest  0.00  in Invesco Electric on November 30, 2023 and sell it all today you would earn a total of 0.00 from holding Invesco Electric Vehicle or generate 0.0% return on investment in Invesco Electric over 360 days. Invesco Electric is related to or competes with Morningstar Unconstrained, High-yield Municipal, Thrivent High, Via Renewables, T Rowe, Jpmorgan Smartretirement*, and 70082LAB3. The fund is an actively managed ETF that seeks to invest in a combination of financial instruments that are economically... More

Invesco Electric 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 Invesco Electric'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 Invesco Electric Vehicle upside and downside potential and time the market with a certain degree of confidence.

Invesco Electric Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Invesco Electric's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Invesco Electric's standard deviation. In reality, there are many statistical measures that can use Invesco Electric historical prices to predict the future Invesco Electric's volatility.
Hype
Prediction
LowEstimatedHigh
14.2715.5016.73
Details
Intrinsic
Valuation
LowRealHigh
14.4015.6316.86
Details
Naive
Forecast
LowNextHigh
13.9715.2016.44
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
15.3515.4615.57
Details

Invesco Electric Vehicle Backtested Returns

Invesco Electric Vehicle holds Efficiency (Sharpe) Ratio of -0.0288, which attests that the entity had a -0.0288% return per unit of risk over the last 3 months. Invesco Electric Vehicle exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Invesco Electric's insignificant Risk Adjusted Performance, market risk adjusted performance of (0.21), and Standard Deviation of 1.24 to validate the risk estimate we provide. The etf retains a Market Volatility (i.e., Beta) of 0.0933, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Invesco Electric's returns are expected to increase less than the market. However, during the bear market, the loss of holding Invesco Electric is expected to be smaller as well.

Auto-correlation

    
  -0.13  

Insignificant reverse predictability

Invesco Electric Vehicle has insignificant reverse predictability. Overlapping area represents the amount of predictability between Invesco Electric time series from 30th of November 2023 to 28th of May 2024 and 28th of May 2024 to 24th 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 Invesco Electric Vehicle price movement. The serial correlation of -0.13 indicates that less than 13.0% of current Invesco Electric price fluctuation can be explain by its past prices.
Correlation Coefficient-0.13
Spearman Rank Test-0.48
Residual Average0.0
Price Variance0.62

Invesco Electric Vehicle lagged returns against current returns

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

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

Invesco Electric Lagged Returns

When evaluating Invesco Electric's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Invesco Electric etf have on its future price. Invesco Electric 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, Invesco Electric autocorrelation shows the relationship between Invesco Electric etf current value and its past values and can show if there is a momentum factor associated with investing in Invesco Electric Vehicle.
   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 Invesco Electric Vehicle 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 Invesco 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 Invesco Electric Vehicle Etf. Highlighted below are key reports to facilitate an investment decision about Invesco Electric Vehicle Etf:
Check out Invesco Electric Correlation, Invesco Electric Volatility and Invesco Electric Alpha and Beta module to complement your research on Invesco Electric.
You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Invesco Electric 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 Invesco Electric technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Invesco Electric 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...