Knowledge Leaders Developed Etf Market Value
| KLDW Etf | USD 42.50 0.19 0.45% |
| Symbol | Knowledge |
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.
| 05/24/2023 |
| 04/18/2024 |
If you would invest 0.00 in Knowledge Leaders on May 24, 2023 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 330 days. Knowledge Leaders is related to or competes with SHP ETF, Global X, Kngt Clb, Mairs Power, and Knights Of. 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.
| Downside Deviation | 0.6968 | |||
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 2.88 | |||
| Value At Risk | (1.07) | |||
| Potential Upside | 1.11 |
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.| Risk Adjusted Performance | 0.0261 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.04) | |||
| Treynor Ratio | 0.0184 |
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.
Knowledge Leaders Backtested Returns
We consider Knowledge Leaders very steady. Knowledge Leaders has Sharpe Ratio of 0.0604, which conveys that the entity had a 0.0604% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Knowledge Leaders, which you can use to evaluate the volatility of the etf. Please verify Knowledge Leaders' Risk Adjusted Performance of 0.0261, downside deviation of 0.6968, and Mean Deviation of 0.5406 to check out if the risk estimate we provide is consistent with the expected return of 0.0389%. The etf secures a Beta (Market Risk) of 0.92, which conveys possible diversification benefits within a given portfolio. Knowledge Leaders returns are very sensitive to returns on the market. As the market goes up or down, Knowledge Leaders is expected to follow.
Auto-correlation | -0.51 |
Good reverse predictability
Knowledge Leaders Developed has good reverse predictability. Overlapping area represents the amount of predictability between Knowledge Leaders time series from 24th of May 2023 to 5th of November 2023 and 5th of November 2023 to 18th of April 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 Knowledge Leaders price movement. The serial correlation of -0.51 indicates that about 51.0% of current Knowledge Leaders price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.51 | |
| Spearman Rank Test | -0.56 | |
| Residual Average | 0.0 | |
| Price Variance | 3.91 |
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 |
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Try AI Portfolio ArchitectCheck out Knowledge Leaders Correlation, Knowledge Leaders Volatility and Knowledge Leaders Alpha and Beta module to complement your research on Knowledge Leaders. Note that the Knowledge Leaders information on this page should be used as a complementary analysis to other Knowledge Leaders' statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Premium Stories module to follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope.
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.