Simplify Exchange Traded Etf Market Value
HIGH Etf | USD 23.53 0.03 0.13% |
Symbol | Simplify |
The market value of Simplify Exchange Traded is measured differently than its book value, which is the value of Simplify that is recorded on the company's balance sheet. Investors also form their own opinion of Simplify Exchange's value that differs from its market value or its book value, called intrinsic value, which is Simplify Exchange'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 Simplify Exchange's market value can be influenced by many factors that don't directly affect Simplify Exchange'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 Simplify Exchange's value and its price as these two are different measures arrived at by different means. Investors typically determine if Simplify Exchange is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Simplify Exchange'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.
Simplify Exchange '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 Simplify Exchange'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 Simplify Exchange.
09/01/2024 |
| 11/30/2024 |
If you would invest 0.00 in Simplify Exchange on September 1, 2024 and sell it all today you would earn a total of 0.00 from holding Simplify Exchange Traded or generate 0.0% return on investment in Simplify Exchange over 90 days. Simplify Exchange is related to or competes with Proshares Russell, Tidal Trust, PIMCO Mortgage, and IShares Trust. Simplify Exchange is entity of United States More
Simplify Exchange 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 Simplify Exchange'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 Simplify Exchange Traded upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.3316 | |||
Information Ratio | (0.55) | |||
Maximum Drawdown | 1.02 | |||
Value At Risk | (0.38) | |||
Potential Upside | 0.3061 |
Simplify Exchange Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Simplify Exchange's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Simplify Exchange's standard deviation. In reality, there are many statistical measures that can use Simplify Exchange historical prices to predict the future Simplify Exchange's volatility.Risk Adjusted Performance | 0.0891 | |||
Jensen Alpha | 0.0212 | |||
Total Risk Alpha | (0.01) | |||
Sortino Ratio | (0.32) | |||
Treynor Ratio | (2.37) |
Simplify Exchange Traded Backtested Returns
Simplify Exchange is very steady at the moment. Simplify Exchange Traded owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.19, which indicates the etf had a 0.19% return per unit of risk over the last 3 months. We have found thirty technical indicators for Simplify Exchange Traded, which you can use to evaluate the volatility of the etf. Please validate Simplify Exchange's Risk Adjusted Performance of 0.0891, semi deviation of 0.1609, and Coefficient Of Variation of 645.8 to confirm if the risk estimate we provide is consistent with the expected return of 0.0356%. The entity has a beta of -0.0085, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Simplify Exchange are expected to decrease at a much lower rate. During the bear market, Simplify Exchange is likely to outperform the market.
Auto-correlation | 0.84 |
Very good predictability
Simplify Exchange Traded has very good predictability. Overlapping area represents the amount of predictability between Simplify Exchange time series from 1st of September 2024 to 16th of October 2024 and 16th of October 2024 to 30th of November 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 Simplify Exchange Traded price movement. The serial correlation of 0.84 indicates that around 84.0% of current Simplify Exchange price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.84 | |
Spearman Rank Test | 0.89 | |
Residual Average | 0.0 | |
Price Variance | 0.01 |
Simplify Exchange Traded lagged returns against current returns
Autocorrelation, which is Simplify Exchange 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 Simplify Exchange's etf expected returns. We can calculate the autocorrelation of Simplify Exchange returns to help us make a trade decision. For example, suppose you find that Simplify Exchange 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 |
Simplify Exchange 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 Simplify Exchange etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Simplify Exchange etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Simplify Exchange etf over time.
Current vs Lagged Prices |
Timeline |
Simplify Exchange Lagged Returns
When evaluating Simplify Exchange's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Simplify Exchange etf have on its future price. Simplify Exchange 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, Simplify Exchange autocorrelation shows the relationship between Simplify Exchange etf current value and its past values and can show if there is a momentum factor associated with investing in Simplify Exchange Traded.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
When determining whether Simplify Exchange Traded offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Simplify Exchange'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 Simplify Exchange Traded Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Simplify Exchange Traded Etf:Check out Simplify Exchange Correlation, Simplify Exchange Volatility and Simplify Exchange Alpha and Beta module to complement your research on Simplify Exchange. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
Simplify Exchange 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.