Gotham Large Value Fund Market Value
| GVALX Fund | USD 13.89 0.03 0.22% |
| Symbol | Gotham |
Gotham Large '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 Gotham Large'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 Gotham Large.
| 12/11/2024 |
| 01/10/2025 |
If you would invest 0.00 in Gotham Large on December 11, 2024 and sell it all today you would earn a total of 0.00 from holding Gotham Large Value or generate 0.0% return on investment in Gotham Large over 30 days. Gotham Large is related to or competes with Gotham Index, Gotham Enhanced, Gotham Defensive, Gotham Enhanced, and Gotham Enhanced. The fund seeks a total return greater than that of the SP 500 Index over a full market cycle, which is a period that inc... More
Gotham Large 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 Gotham Large'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 Gotham Large Value upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 12.44 | |||
| Value At Risk | (0.78) | |||
| Potential Upside | 1.11 |
Gotham Large Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gotham Large's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gotham Large's standard deviation. In reality, there are many statistical measures that can use Gotham Large historical prices to predict the future Gotham Large's volatility.| Risk Adjusted Performance | (0.09) | |||
| Jensen Alpha | (0.17) | |||
| Total Risk Alpha | (0.20) | |||
| Treynor Ratio | (0.68) |
Gotham Large Value Backtested Returns
Gotham Large Value holds Efficiency (Sharpe) Ratio of -0.13, which attests that the entity had a -0.13% return per unit of risk over the last 3 months. Gotham Large Value exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Gotham Large's Market Risk Adjusted Performance of (0.67), standard deviation of 1.41, and Risk Adjusted Performance of (0.09) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 0.25, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Gotham Large's returns are expected to increase less than the market. However, during the bear market, the loss of holding Gotham Large is expected to be smaller as well.
Auto-correlation | -0.18 |
Insignificant reverse predictability
Gotham Large Value has insignificant reverse predictability. Overlapping area represents the amount of predictability between Gotham Large time series from 11th of December 2024 to 26th of December 2024 and 26th of December 2024 to 10th of January 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 Gotham Large Value price movement. The serial correlation of -0.18 indicates that over 18.0% of current Gotham Large price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.18 | |
| Spearman Rank Test | 0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Gotham Large Value lagged returns against current returns
Autocorrelation, which is Gotham Large 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 Gotham Large's mutual fund expected returns. We can calculate the autocorrelation of Gotham Large returns to help us make a trade decision. For example, suppose you find that Gotham Large 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 |
Gotham Large 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 Gotham Large mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gotham Large mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Gotham Large mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Gotham Large Lagged Returns
When evaluating Gotham Large's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gotham Large mutual fund have on its future price. Gotham Large 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, Gotham Large autocorrelation shows the relationship between Gotham Large mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Gotham Large Value.
Regressed Prices |
| Timeline |
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Other Information on Investing in Gotham Mutual Fund
Gotham Large financial ratios help investors to determine whether Gotham 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 Gotham with respect to the benefits of owning Gotham Large security.
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