Knowledge Leaders Developed Etf Market Value

KLDW Etf  USD 51.27  0.48  0.95%   
Knowledge Leaders' market value is the price at which a share of Knowledge Leaders trades on a public exchange. It measures the collective expectations of Knowledge Leaders Developed investors about its performance. Knowledge Leaders is selling for under 51.27 as of the 6th of October 2025; that is 0.95 percent increase since the beginning of the trading day. The etf's lowest day price was 51.27.
With this module, you can estimate the performance of a buy and hold strategy of Knowledge Leaders Developed and determine expected loss or profit from investing in Knowledge Leaders over a given investment horizon. Check out Knowledge Leaders Correlation, Knowledge Leaders Volatility and Knowledge Leaders Alpha and Beta module to complement your research on Knowledge Leaders.
Symbol

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

Knowledge Leaders '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 Knowledge Leaders' 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 Knowledge Leaders.
0.00
07/08/2025
No Change 0.00  0.0 
In 3 months and 1 day
10/06/2025
0.00
If you would invest  0.00  in Knowledge Leaders on July 8, 2025 and sell it all today you would earn a total of 0.00 from holding Knowledge Leaders Developed or generate 0.0% return on investment in Knowledge Leaders over 90 days. Knowledge Leaders is related to or competes with FT Vest, Zillow Group, Northern Lights, and VanEck Vectors. The fund invests primarily in equities the advisor considers to be highly innovative companies or knowledge leaders More

Knowledge Leaders 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 Knowledge Leaders' 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 Knowledge Leaders Developed upside and downside potential and time the market with a certain degree of confidence.

Knowledge Leaders Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Knowledge Leaders' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Knowledge Leaders' standard deviation. In reality, there are many statistical measures that can use Knowledge Leaders historical prices to predict the future Knowledge Leaders' volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Knowledge Leaders' 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
50.6651.2751.88
Details
Intrinsic
Valuation
LowRealHigh
50.3150.9251.53
Details
Naive
Forecast
LowNextHigh
50.7351.3451.95
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
49.9250.9051.89
Details

Knowledge Leaders Backtested Returns

At this stage we consider Knowledge Etf to be very steady. Knowledge Leaders has Sharpe Ratio of 0.12, which conveys that the entity had a 0.12 % return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Knowledge Leaders, which you can use to evaluate the volatility of the etf. Please verify Knowledge Leaders' Downside Deviation of 0.6682, mean deviation of 0.3764, and Risk Adjusted Performance of 0.0733 to check out if the risk estimate we provide is consistent with the expected return of 0.0758%. The etf secures a Beta (Market Risk) of 0.26, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Knowledge Leaders' returns are expected to increase less than the market. However, during the bear market, the loss of holding Knowledge Leaders is expected to be smaller as well.

Auto-correlation

    
  0.04  

Virtually no predictability

Knowledge Leaders Developed has virtually no predictability. Overlapping area represents the amount of predictability between Knowledge Leaders time series from 8th of July 2025 to 22nd of August 2025 and 22nd of August 2025 to 6th of October 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Knowledge Leaders price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current Knowledge Leaders price fluctuation can be explain by its past prices.
Correlation Coefficient0.04
Spearman Rank Test-0.2
Residual Average0.0
Price Variance0.16

Knowledge Leaders lagged returns against current returns

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

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

Knowledge Leaders Lagged Returns

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
When determining whether Knowledge Leaders is a strong investment it is important to analyze Knowledge Leaders' 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 Knowledge Leaders' future performance. For an informed investment choice regarding Knowledge Etf, refer to the following important reports:
Check out Knowledge Leaders Correlation, Knowledge Leaders Volatility and Knowledge Leaders Alpha and Beta module to complement your research on Knowledge Leaders.
You can also try the Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
Knowledge Leaders 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 Knowledge Leaders technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Knowledge Leaders 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...