Simplify Macro Strategy Etf Market Value
| FIG Etf | USD 22.59 0.08 0.36% |
| Symbol | Simplify |
The market value of Simplify Macro Strategy 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 Macro's value that differs from its market value or its book value, called intrinsic value, which is Simplify Macro'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 Macro's market value can be influenced by many factors that don't directly affect Simplify Macro'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 Macro's value and its price as these two are different measures arrived at by different means. Investors typically determine if Simplify Macro is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Simplify Macro'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 Macro '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 Macro'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 Macro.
| 11/01/2024 |
| 12/01/2024 |
If you would invest 0.00 in Simplify Macro on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Simplify Macro Strategy or generate 0.0% return on investment in Simplify Macro over 30 days. Simplify Macro is related to or competes with MBIA, Lazard, Blackstone, and MGIC Investment. The fund will primarily invest in equity, fixed income, and alternative ETFs that are managed by the adviser More
Simplify Macro 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 Macro'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 Macro Strategy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6763 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 4.94 | |||
| Value At Risk | (0.93) | |||
| Potential Upside | 1.49 |
Simplify Macro Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Simplify Macro's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Simplify Macro's standard deviation. In reality, there are many statistical measures that can use Simplify Macro historical prices to predict the future Simplify Macro's volatility.| Risk Adjusted Performance | 0.0923 | |||
| Jensen Alpha | 0.0248 | |||
| Total Risk Alpha | (0.05) | |||
| Sortino Ratio | (0.07) | |||
| Treynor Ratio | 0.183 |
Simplify Macro Strategy Backtested Returns
At this point, Simplify Macro is very steady. Simplify Macro Strategy owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.14, which indicates the etf had a 0.14% return per unit of risk over the last 3 months. We have found twenty-eight technical indicators for Simplify Macro Strategy, which you can use to evaluate the volatility of the etf. Please validate Simplify Macro's Semi Deviation of 0.524, coefficient of variation of 828.33, and Risk Adjusted Performance of 0.0923 to confirm if the risk estimate we provide is consistent with the expected return of 0.11%. The entity has a beta of 0.45, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Simplify Macro's returns are expected to increase less than the market. However, during the bear market, the loss of holding Simplify Macro is expected to be smaller as well.
Auto-correlation | 0.87 |
Very good predictability
Simplify Macro Strategy has very good predictability. Overlapping area represents the amount of predictability between Simplify Macro 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 Simplify Macro Strategy price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current Simplify Macro price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.87 | |
| Spearman Rank Test | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
Simplify Macro Strategy lagged returns against current returns
Autocorrelation, which is Simplify Macro 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 Macro's etf expected returns. We can calculate the autocorrelation of Simplify Macro returns to help us make a trade decision. For example, suppose you find that Simplify Macro 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 Macro 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 Macro etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Simplify Macro etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Simplify Macro etf over time.
Current vs Lagged Prices |
| Timeline |
Simplify Macro Lagged Returns
When evaluating Simplify Macro's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Simplify Macro etf have on its future price. Simplify Macro 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 Macro autocorrelation shows the relationship between Simplify Macro etf current value and its past values and can show if there is a momentum factor associated with investing in Simplify Macro Strategy.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Simplify Macro Strategy is a strong investment it is important to analyze Simplify Macro'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 Simplify Macro's future performance. For an informed investment choice regarding Simplify Etf, refer to the following important reports:Check out Simplify Macro Correlation, Simplify Macro Volatility and Simplify Macro Alpha and Beta module to complement your research on Simplify Macro. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
Simplify Macro 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.