Kraneshares Sse Star Etf Market Value
KSTR Etf | USD 13.07 0.08 0.61% |
Symbol | KraneShares |
The market value of KraneShares SSE STAR is measured differently than its book value, which is the value of KraneShares that is recorded on the company's balance sheet. Investors also form their own opinion of KraneShares SSE's value that differs from its market value or its book value, called intrinsic value, which is KraneShares SSE'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 KraneShares SSE's market value can be influenced by many factors that don't directly affect KraneShares SSE'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 KraneShares SSE's value and its price as these two are different measures arrived at by different means. Investors typically determine if KraneShares SSE is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, KraneShares SSE'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.
KraneShares SSE '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 KraneShares SSE'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 KraneShares SSE.
12/29/2022 |
| 12/18/2024 |
If you would invest 0.00 in KraneShares SSE on December 29, 2022 and sell it all today you would earn a total of 0.00 from holding KraneShares SSE STAR or generate 0.0% return on investment in KraneShares SSE over 720 days. KraneShares SSE is related to or competes with KraneShares MSCI, KraneShares Bosera, and KraneShares MSCI. Under normal circumstances, the fund will invest at least 80 percent of its net assets in instruments in its underlying ... More
KraneShares SSE 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 KraneShares SSE'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 KraneShares SSE STAR upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 5.4 | |||
Information Ratio | 0.0977 | |||
Maximum Drawdown | 56.22 | |||
Value At Risk | (7.00) | |||
Potential Upside | 13.95 |
KraneShares SSE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for KraneShares SSE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as KraneShares SSE's standard deviation. In reality, there are many statistical measures that can use KraneShares SSE historical prices to predict the future KraneShares SSE's volatility.Risk Adjusted Performance | 0.0869 | |||
Jensen Alpha | 0.8143 | |||
Total Risk Alpha | 0.1811 | |||
Sortino Ratio | 0.1235 | |||
Treynor Ratio | (0.46) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of KraneShares SSE's 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.
KraneShares SSE STAR Backtested Returns
KraneShares SSE appears to be slightly risky, given 3 months investment horizon. KraneShares SSE STAR has Sharpe Ratio of 0.11, which conveys that the entity had a 0.11% return per unit of risk over the last 3 months. By analyzing KraneShares SSE's technical indicators, you can evaluate if the expected return of 0.75% is justified by implied risk. Please exercise KraneShares SSE's Mean Deviation of 4.12, risk adjusted performance of 0.0869, and Downside Deviation of 5.4 to check out if our risk estimates are consistent with your expectations. The etf secures a Beta (Market Risk) of -1.56, which conveys a somewhat significant risk relative to the market. As returns on the market increase, returns on owning KraneShares SSE are expected to decrease by larger amounts. On the other hand, during market turmoil, KraneShares SSE is expected to outperform it.
Auto-correlation | -0.38 |
Poor reverse predictability
KraneShares SSE STAR has poor reverse predictability. Overlapping area represents the amount of predictability between KraneShares SSE time series from 29th of December 2022 to 24th of December 2023 and 24th of December 2023 to 18th 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 KraneShares SSE STAR price movement. The serial correlation of -0.38 indicates that just about 38.0% of current KraneShares SSE price fluctuation can be explain by its past prices.
Correlation Coefficient | -0.38 | |
Spearman Rank Test | -0.03 | |
Residual Average | 0.0 | |
Price Variance | 2.21 |
KraneShares SSE STAR lagged returns against current returns
Autocorrelation, which is KraneShares SSE 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 KraneShares SSE's etf expected returns. We can calculate the autocorrelation of KraneShares SSE returns to help us make a trade decision. For example, suppose you find that KraneShares SSE 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 |
KraneShares SSE 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 KraneShares SSE etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if KraneShares SSE etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in KraneShares SSE etf over time.
Current vs Lagged Prices |
Timeline |
KraneShares SSE Lagged Returns
When evaluating KraneShares SSE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of KraneShares SSE etf have on its future price. KraneShares SSE 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, KraneShares SSE autocorrelation shows the relationship between KraneShares SSE etf current value and its past values and can show if there is a momentum factor associated with investing in KraneShares SSE STAR.
Regressed Prices |
Timeline |
Pair Trading with KraneShares SSE
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if KraneShares SSE position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in KraneShares SSE will appreciate offsetting losses from the drop in the long position's value.Moving together with KraneShares Etf
Moving against KraneShares Etf
The ability to find closely correlated positions to KraneShares SSE could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace KraneShares SSE when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back KraneShares SSE - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling KraneShares SSE STAR to buy it.
The correlation of KraneShares SSE is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as KraneShares SSE moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if KraneShares SSE STAR moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for KraneShares SSE can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out KraneShares SSE Correlation, KraneShares SSE Volatility and KraneShares SSE Alpha and Beta module to complement your research on KraneShares SSE. 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.
KraneShares SSE 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.