The Future Fund Market Value
| FFND Etf | USD 26.16 0.27 1.04% |
| Symbol | Future |
The market value of Future Fund is measured differently than its book value, which is the value of Future that is recorded on the company's balance sheet. Investors also form their own opinion of Future Fund's value that differs from its market value or its book value, called intrinsic value, which is Future Fund'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 Future Fund's market value can be influenced by many factors that don't directly affect Future Fund'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 Future Fund's value and its price as these two are different measures arrived at by different means. Investors typically determine if Future Fund is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Future Fund'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.
Future Fund '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 Future Fund'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 Future Fund.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Future Fund on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding The Future Fund or generate 0.0% return on investment in Future Fund over 30 days. Future Fund is related to or competes with Invesco Dynamic, Perella Weinberg, HUMANA, Barloworld, Morningstar Unconstrained, High-yield Municipal, and Thrivent High. Under normal market conditions, the fund, which is an actively managed ETF, will primarily invest in the equity securiti... More
Future Fund 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 Future Fund'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 The Future Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.36 | |||
| Information Ratio | 0.0622 | |||
| Maximum Drawdown | 5.76 | |||
| Value At Risk | (1.81) | |||
| Potential Upside | 1.87 |
Future Fund Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Future Fund's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Future Fund's standard deviation. In reality, there are many statistical measures that can use Future Fund historical prices to predict the future Future Fund's volatility.| Risk Adjusted Performance | 0.1363 | |||
| Jensen Alpha | 0.0623 | |||
| Total Risk Alpha | 0.0085 | |||
| Sortino Ratio | 0.0539 | |||
| Treynor Ratio | 0.1779 |
Future Fund Backtested Returns
At this point, Future Fund is very steady. Future Fund secures Sharpe Ratio (or Efficiency) of 0.16, which denotes the etf had a 0.16% return per unit of risk over the last 3 months. We have found thirty technical indicators for The Future Fund, which you can use to evaluate the volatility of the entity. Please confirm Future Fund's Risk Adjusted Performance of 0.1363, downside deviation of 1.36, and Semi Deviation of 1.14 to check if the risk estimate we provide is consistent with the expected return of 0.19%. The etf shows a Beta (market volatility) of 1.09, which means a somewhat significant risk relative to the market. Future Fund returns are very sensitive to returns on the market. As the market goes up or down, Future Fund is expected to follow.
Auto-correlation | 0.74 |
Good predictability
The Future Fund has good predictability. Overlapping area represents the amount of predictability between Future Fund time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th 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 Future Fund price movement. The serial correlation of 0.74 indicates that around 74.0% of current Future Fund price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.75 | |
| Residual Average | 0.0 | |
| Price Variance | 0.13 |
Future Fund lagged returns against current returns
Autocorrelation, which is Future Fund 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 Future Fund's etf expected returns. We can calculate the autocorrelation of Future Fund returns to help us make a trade decision. For example, suppose you find that Future Fund 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 |
Future Fund 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 Future Fund etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Future Fund etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Future Fund etf over time.
Current vs Lagged Prices |
| Timeline |
Future Fund Lagged Returns
When evaluating Future Fund's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Future Fund etf have on its future price. Future Fund 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, Future Fund autocorrelation shows the relationship between Future Fund etf current value and its past values and can show if there is a momentum factor associated with investing in The Future Fund.
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 Future Fund is a strong investment it is important to analyze Future Fund'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 Future Fund's future performance. For an informed investment choice regarding Future Etf, refer to the following important reports:Check out Future Fund Correlation, Future Fund Volatility and Future Fund Alpha and Beta module to complement your research on Future Fund. You can also try the Bond Analysis module to evaluate and analyze corporate bonds as a potential investment for your portfolios..
Future Fund 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.