Freedom Day Dividend Etf Market Value
MBOX Etf | USD 35.32 0.17 0.48% |
Symbol | Freedom |
The market value of Freedom Day Dividend is measured differently than its book value, which is the value of Freedom that is recorded on the company's balance sheet. Investors also form their own opinion of Freedom Day's value that differs from its market value or its book value, called intrinsic value, which is Freedom Day'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 Freedom Day's market value can be influenced by many factors that don't directly affect Freedom Day'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 Freedom Day's value and its price as these two are different measures arrived at by different means. Investors typically determine if Freedom Day is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Freedom Day'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.
Freedom Day '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 Freedom Day'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 Freedom Day.
06/03/2024 |
| 11/30/2024 |
If you would invest 0.00 in Freedom Day on June 3, 2024 and sell it all today you would earn a total of 0.00 from holding Freedom Day Dividend or generate 0.0% return on investment in Freedom Day over 180 days. Freedom Day is related to or competes with IShares Core, IShares Core, IShares Broad, IShares Core, and IShares Core. The fund is an actively-managed exchange-traded fund that seeks to achieve its investment objective by investing in equi... More
Freedom Day 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 Freedom Day'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 Freedom Day Dividend upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.7699 | |||
Information Ratio | (0.08) | |||
Maximum Drawdown | 3.49 | |||
Value At Risk | (1.29) | |||
Potential Upside | 1.25 |
Freedom Day Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Freedom Day's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Freedom Day's standard deviation. In reality, there are many statistical measures that can use Freedom Day historical prices to predict the future Freedom Day's volatility.Risk Adjusted Performance | 0.075 | |||
Jensen Alpha | (0.05) | |||
Total Risk Alpha | (0.06) | |||
Sortino Ratio | (0.08) | |||
Treynor Ratio | 0.0742 |
Freedom Day Dividend Backtested Returns
At this stage we consider Freedom Etf to be very steady. Freedom Day Dividend secures Sharpe Ratio (or Efficiency) of 0.12, which denotes the etf had a 0.12% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Freedom Day Dividend, which you can use to evaluate the volatility of the entity. Please confirm Freedom Day's Mean Deviation of 0.608, downside deviation of 0.7699, and Coefficient Of Variation of 1022.78 to check if the risk estimate we provide is consistent with the expected return of 0.0939%. The etf shows a Beta (market volatility) of 0.9, which means possible diversification benefits within a given portfolio. Freedom Day returns are very sensitive to returns on the market. As the market goes up or down, Freedom Day is expected to follow.
Auto-correlation | 0.62 |
Good predictability
Freedom Day Dividend has good predictability. Overlapping area represents the amount of predictability between Freedom Day time series from 3rd of June 2024 to 1st of September 2024 and 1st of September 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 Freedom Day Dividend price movement. The serial correlation of 0.62 indicates that roughly 62.0% of current Freedom Day price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.62 | |
Spearman Rank Test | 0.54 | |
Residual Average | 0.0 | |
Price Variance | 0.4 |
Freedom Day Dividend lagged returns against current returns
Autocorrelation, which is Freedom Day 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 Freedom Day's etf expected returns. We can calculate the autocorrelation of Freedom Day returns to help us make a trade decision. For example, suppose you find that Freedom Day 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 |
Freedom Day 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 Freedom Day etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Freedom Day etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Freedom Day etf over time.
Current vs Lagged Prices |
Timeline |
Freedom Day Lagged Returns
When evaluating Freedom Day's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Freedom Day etf have on its future price. Freedom Day 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, Freedom Day autocorrelation shows the relationship between Freedom Day etf current value and its past values and can show if there is a momentum factor associated with investing in Freedom Day Dividend.
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 Freedom Day Dividend offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Freedom Day'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 Freedom Day Dividend Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Freedom Day Dividend Etf:Check out Freedom Day Correlation, Freedom Day Volatility and Freedom Day Alpha and Beta module to complement your research on Freedom Day. You can also try the Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Freedom Day 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.