The Long Term Fund Market Value
| BSGLX Fund | USD 31.34 0.76 2.37% |
| Symbol | Long |
Long Term '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 Long Term's mutual fund 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 Long Term.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Long Term on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding The Long Term or generate 0.0% return on investment in Long Term over 90 days. Long Term is related to or competes with Lord Abbett, Dunham Large, Profunds-large Cap, Wasatch Large, Avantis Us, and Guidemark Large. The investment seeks to provide long-term capital appreciation More
Long Term 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 Long Term's mutual fund 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 Long Term upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 7.55 | |||
| Value At Risk | (2.55) | |||
| Potential Upside | 2.35 |
Long Term Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Long Term's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Long Term's standard deviation. In reality, there are many statistical measures that can use Long Term historical prices to predict the future Long Term's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.08) | |||
| Total Risk Alpha | 0.0307 | |||
| Treynor Ratio | (0.19) |
Long Term Backtested Returns
Long Term has Sharpe Ratio of -0.1, which conveys that the entity had a -0.1 % return per unit of risk over the last 3 months. Long Term exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Long Term's Risk Adjusted Performance of (0.08), standard deviation of 1.65, and Market Risk Adjusted Performance of (0.18) to check out the risk estimate we provide. The fund secures a Beta (Market Risk) of 0.92, which conveys possible diversification benefits within a given portfolio. Long Term returns are very sensitive to returns on the market. As the market goes up or down, Long Term is expected to follow.
Auto-correlation | -0.64 |
Very good reverse predictability
The Long Term has very good reverse predictability. Overlapping area represents the amount of predictability between Long Term time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Long Term price movement. The serial correlation of -0.64 indicates that roughly 64.0% of current Long Term price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.64 | |
| Spearman Rank Test | -0.13 | |
| Residual Average | 0.0 | |
| Price Variance | 2.75 |
Long Term lagged returns against current returns
Autocorrelation, which is Long Term mutual fund'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 Long Term's mutual fund expected returns. We can calculate the autocorrelation of Long Term returns to help us make a trade decision. For example, suppose you find that Long Term has exhibited high autocorrelation historically, and you observe that the mutual fund 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 |
Long Term 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 Long Term mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Long Term mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Long Term mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Long Term Lagged Returns
When evaluating Long Term's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Long Term mutual fund have on its future price. Long Term 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, Long Term autocorrelation shows the relationship between Long Term mutual fund current value and its past values and can show if there is a momentum factor associated with investing in The Long Term.
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.Other Information on Investing in Long Mutual Fund
Long Term financial ratios help investors to determine whether Long Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Long with respect to the benefits of owning Long Term security.
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