Motley Fool 100 Etf Market Value
| TMFC Etf | USD 59.25 0.14 0.24% |
| Symbol | Motley |
The market value of Motley Fool 100 is measured differently than its book value, which is the value of Motley that is recorded on the company's balance sheet. Investors also form their own opinion of Motley Fool's value that differs from its market value or its book value, called intrinsic value, which is Motley Fool'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 Motley Fool's market value can be influenced by many factors that don't directly affect Motley Fool'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 Motley Fool's value and its price as these two are different measures arrived at by different means. Investors typically determine if Motley Fool is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Motley Fool'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.
Motley Fool '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 Motley Fool'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 Motley Fool.
| 10/25/2024 |
| 11/24/2024 |
If you would invest 0.00 in Motley Fool on October 25, 2024 and sell it all today you would earn a total of 0.00 from holding Motley Fool 100 or generate 0.0% return on investment in Motley Fool over 30 days. Motley Fool is related to or competes with Motley Fool, Motley Fool, RBB Fund, Motley Fool, and Innovator IBD. Under normal circumstances, at least 80 percent of the funds total assets will be invested in the component securities o... More
Motley Fool 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 Motley Fool'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 Motley Fool 100 upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.04 | |||
| Information Ratio | 0.001 | |||
| Maximum Drawdown | 4.72 | |||
| Value At Risk | (1.77) | |||
| Potential Upside | 1.33 |
Motley Fool Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Motley Fool's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Motley Fool's standard deviation. In reality, there are many statistical measures that can use Motley Fool historical prices to predict the future Motley Fool's volatility.| Risk Adjusted Performance | 0.1117 | |||
| Jensen Alpha | 0.0159 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 9.0E-4 | |||
| Treynor Ratio | 0.139 |
Motley Fool 100 Backtested Returns
At this point, Motley Fool is very steady. Motley Fool 100 has Sharpe Ratio of 0.14, which conveys that the entity had a 0.14% return per unit of risk over the last 3 months. We have found thirty technical indicators for Motley Fool, which you can use to evaluate the volatility of the etf. Please verify Motley Fool's Risk Adjusted Performance of 0.1117, downside deviation of 1.04, and Mean Deviation of 0.6364 to check out if the risk estimate we provide is consistent with the expected return of 0.13%. The etf secures a Beta (Market Risk) of 0.88, which conveys possible diversification benefits within a given portfolio. Motley Fool returns are very sensitive to returns on the market. As the market goes up or down, Motley Fool is expected to follow.
Auto-correlation | 0.40 |
Average predictability
Motley Fool 100 has average predictability. Overlapping area represents the amount of predictability between Motley Fool time series from 25th of October 2024 to 9th of November 2024 and 9th of November 2024 to 24th 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 Motley Fool 100 price movement. The serial correlation of 0.4 indicates that just about 40.0% of current Motley Fool price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.4 | |
| Spearman Rank Test | -0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 0.22 |
Motley Fool 100 lagged returns against current returns
Autocorrelation, which is Motley Fool 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 Motley Fool's etf expected returns. We can calculate the autocorrelation of Motley Fool returns to help us make a trade decision. For example, suppose you find that Motley Fool 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 |
Motley Fool 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 Motley Fool etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Motley Fool etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Motley Fool etf over time.
Current vs Lagged Prices |
| Timeline |
Motley Fool Lagged Returns
When evaluating Motley Fool's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Motley Fool etf have on its future price. Motley Fool 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, Motley Fool autocorrelation shows the relationship between Motley Fool etf current value and its past values and can show if there is a momentum factor associated with investing in Motley Fool 100.
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 Motley Fool 100 offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Motley Fool'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 Motley Fool 100 Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Motley Fool 100 Etf:Check out Motley Fool Correlation, Motley Fool Volatility and Motley Fool Alpha and Beta module to complement your research on Motley Fool. You can also try the Equity Search module to search for actively traded equities including funds and ETFs from over 30 global markets.
Motley Fool 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.