Kfa Value Line Etf Market Value
| KVLE Etf | USD 28.11 0.11 0.39% |
| Symbol | KFA |
The market value of KFA Value Line is measured differently than its book value, which is the value of KFA that is recorded on the company's balance sheet. Investors also form their own opinion of KFA Value's value that differs from its market value or its book value, called intrinsic value, which is KFA Value'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 KFA Value's market value can be influenced by many factors that don't directly affect KFA Value'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 KFA Value's value and its price as these two are different measures arrived at by different means. Investors typically determine if KFA Value is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, KFA Value'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.
KFA Value '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 KFA Value'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 KFA Value.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in KFA Value on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding KFA Value Line or generate 0.0% return on investment in KFA Value over 30 days. KFA Value is related to or competes with KraneShares MSCI, and KraneShares MSCI. Under normal circumstances, the fund will invest at least 80 percent of its net assets in instruments in its index or in... More
KFA Value 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 KFA Value'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 KFA Value Line upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7456 | |||
| Information Ratio | 0.0104 | |||
| Maximum Drawdown | 3.35 | |||
| Value At Risk | (0.89) | |||
| Potential Upside | 1.16 |
KFA Value Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for KFA Value's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KFA Value's standard deviation. In reality, there are many statistical measures that can use KFA Value historical prices to predict the future KFA Value's volatility.| Risk Adjusted Performance | 0.1592 | |||
| Jensen Alpha | 0.0413 | |||
| Total Risk Alpha | 0.0195 | |||
| Sortino Ratio | 0.0096 | |||
| Treynor Ratio | 0.1841 |
KFA Value Line Backtested Returns
At this point, KFA Value is very steady. KFA Value Line retains Efficiency (Sharpe Ratio) of 0.29, which conveys that the entity had a 0.29% return per unit of return volatility over the last 3 months. We have found thirty technical indicators for KFA Value, which you can use to evaluate the volatility of the etf. Please verify KFA Value's Market Risk Adjusted Performance of 0.1941, mean deviation of 0.5141, and Downside Deviation of 0.7456 to check out if the risk estimate we provide is consistent with the expected return of 0.18%. The etf owns a Beta (Systematic Risk) of 0.73, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, KFA Value's returns are expected to increase less than the market. However, during the bear market, the loss of holding KFA Value is expected to be smaller as well.
Auto-correlation | 0.78 |
Good predictability
KFA Value Line has good predictability. Overlapping area represents the amount of predictability between KFA Value time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 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 KFA Value Line price movement. The serial correlation of 0.78 indicates that around 78.0% of current KFA Value price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.78 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
KFA Value Line lagged returns against current returns
Autocorrelation, which is KFA Value 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 KFA Value's etf expected returns. We can calculate the autocorrelation of KFA Value returns to help us make a trade decision. For example, suppose you find that KFA Value 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 |
KFA Value 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 KFA Value etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if KFA Value etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in KFA Value etf over time.
Current vs Lagged Prices |
| Timeline |
KFA Value Lagged Returns
When evaluating KFA Value's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of KFA Value etf have on its future price. KFA Value 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, KFA Value autocorrelation shows the relationship between KFA Value etf current value and its past values and can show if there is a momentum factor associated with investing in KFA Value Line.
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 KFA Value Line is a strong investment it is important to analyze KFA Value'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 KFA Value's future performance. For an informed investment choice regarding KFA Etf, refer to the following important reports:Check out KFA Value Correlation, KFA Value Volatility and KFA Value Alpha and Beta module to complement your research on KFA Value. You can also try the Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
KFA Value 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.