Shp Etf Trust Etf Market Value
| KOCG Etf | USD 29.50 0.14 0.48% |
| Symbol | SHP |
The market value of SHP ETF Trust is measured differently than its book value, which is the value of SHP that is recorded on the company's balance sheet. Investors also form their own opinion of SHP ETF's value that differs from its market value or its book value, called intrinsic value, which is SHP ETF'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 SHP ETF's market value can be influenced by many factors that don't directly affect SHP ETF'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 SHP ETF's value and its price as these two are different measures arrived at by different means. Investors typically determine if SHP ETF is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SHP ETF'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.
SHP ETF '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 SHP ETF'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 SHP ETF.
| 12/31/2024 |
| 01/30/2025 |
If you would invest 0.00 in SHP ETF on December 31, 2024 and sell it all today you would earn a total of 0.00 from holding SHP ETF Trust or generate 0.0% return on investment in SHP ETF over 30 days. SHP ETF is related to or competes with FIS Christian, Global X, Kngt Clb, Mairs Power, and Knights Of. Under normal circumstances, the fund invests at least 80 percent of its assets in equity securities, including common st... More
SHP ETF 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 SHP ETF'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 SHP ETF Trust upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8562 | |||
| Information Ratio | 0.0045 | |||
| Maximum Drawdown | 4.58 | |||
| Value At Risk | (1.26) | |||
| Potential Upside | 1.14 |
SHP ETF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SHP ETF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SHP ETF's standard deviation. In reality, there are many statistical measures that can use SHP ETF historical prices to predict the future SHP ETF's volatility.| Risk Adjusted Performance | 0.098 | |||
| Jensen Alpha | 0.0547 | |||
| Total Risk Alpha | 0.0116 | |||
| Sortino Ratio | 0.0039 | |||
| Treynor Ratio | 0.2492 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SHP ETF'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.
SHP ETF Trust Backtested Returns
At this point, SHP ETF is very steady. SHP ETF Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.14, which indicates the etf had a 0.14 % return per unit of standard deviation over the last 3 months. We have found twenty-seven technical indicators for SHP ETF Trust, which you can use to evaluate the volatility of the etf. Please validate SHP ETF's coefficient of variation of 845.78, and Risk Adjusted Performance of 0.098 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%. The entity has a beta of 0.31, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, SHP ETF's returns are expected to increase less than the market. However, during the bear market, the loss of holding SHP ETF is expected to be smaller as well.
Auto-correlation | 0.32 |
Below average predictability
SHP ETF Trust has below average predictability. Overlapping area represents the amount of predictability between SHP ETF time series from 31st of December 2024 to 15th of January 2025 and 15th of January 2025 to 30th of January 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 SHP ETF Trust price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current SHP ETF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | -0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
SHP ETF Trust lagged returns against current returns
Autocorrelation, which is SHP ETF 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 SHP ETF's etf expected returns. We can calculate the autocorrelation of SHP ETF returns to help us make a trade decision. For example, suppose you find that SHP ETF 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 |
SHP ETF 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 SHP ETF etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SHP ETF etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SHP ETF etf over time.
Current vs Lagged Prices |
| Timeline |
SHP ETF Lagged Returns
When evaluating SHP ETF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SHP ETF etf have on its future price. SHP ETF 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, SHP ETF autocorrelation shows the relationship between SHP ETF etf current value and its past values and can show if there is a momentum factor associated with investing in SHP ETF Trust.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether SHP ETF Trust offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SHP ETF's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Shp Etf Trust Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Shp Etf Trust Etf:Check out SHP ETF Correlation, SHP ETF Volatility and SHP ETF Alpha and Beta module to complement your research on SHP ETF. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
SHP ETF 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.