Global Infrastructure Fund Market Value
| RGFTX Fund | USD 9.57 0.02 0.21% |
| Symbol | Global |
Global Infrastructure '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 Global Infrastructure'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 Global Infrastructure.
| 03/01/2025 |
| 03/31/2025 |
If you would invest 0.00 in Global Infrastructure on March 1, 2025 and sell it all today you would earn a total of 0.00 from holding Global Infrastructure Fund or generate 0.0% return on investment in Global Infrastructure over 30 days. Global Infrastructure is related to or competes with Federated Municipal, Gamco Global, Old Westbury, Legg Mason, and Us Government. The investment seeks to provide long term growth of capital and current income More
Global Infrastructure 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 Global Infrastructure'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 Global Infrastructure Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7375 | |||
| Information Ratio | 0.1949 | |||
| Maximum Drawdown | 2.9 | |||
| Value At Risk | (1.28) | |||
| Potential Upside | 1.21 |
Global Infrastructure Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Global Infrastructure's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Global Infrastructure's standard deviation. In reality, there are many statistical measures that can use Global Infrastructure historical prices to predict the future Global Infrastructure's volatility.| Risk Adjusted Performance | 0.1146 | |||
| Jensen Alpha | 0.0863 | |||
| Total Risk Alpha | 0.1359 | |||
| Sortino Ratio | 0.1946 | |||
| Treynor Ratio | (1.42) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Global Infrastructure's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Global Infrastructure Backtested Returns
At this stage we consider Global Mutual Fund to be very steady. Global Infrastructure holds Efficiency (Sharpe) Ratio of 0.14, which attests that the entity had a 0.14 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Global Infrastructure, which you can use to evaluate the volatility of the entity. Please check out Global Infrastructure's Downside Deviation of 0.7375, risk adjusted performance of 0.1146, and Market Risk Adjusted Performance of (1.41) to validate if the risk estimate we provide is consistent with the expected return of 0.0997%. The fund retains a Market Volatility (i.e., Beta) of -0.0633, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Global Infrastructure are expected to decrease at a much lower rate. During the bear market, Global Infrastructure is likely to outperform the market.
Auto-correlation | 0.20 |
Weak predictability
Global Infrastructure Fund has weak predictability. Overlapping area represents the amount of predictability between Global Infrastructure time series from 1st of March 2025 to 16th of March 2025 and 16th of March 2025 to 31st 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 Global Infrastructure price movement. The serial correlation of 0.2 indicates that over 20.0% of current Global Infrastructure price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.2 | |
| Spearman Rank Test | 0.25 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Global Infrastructure lagged returns against current returns
Autocorrelation, which is Global Infrastructure 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 Global Infrastructure's mutual fund expected returns. We can calculate the autocorrelation of Global Infrastructure returns to help us make a trade decision. For example, suppose you find that Global Infrastructure 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 |
Global Infrastructure 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 Global Infrastructure mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Global Infrastructure mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Global Infrastructure mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Global Infrastructure Lagged Returns
When evaluating Global Infrastructure's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Global Infrastructure mutual fund have on its future price. Global Infrastructure 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, Global Infrastructure autocorrelation shows the relationship between Global Infrastructure mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Global Infrastructure Fund.
Regressed Prices |
| Timeline |
Also Currently Popular
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| ASLE | AerSale Corp | |
| ATS | AT S Austria |
Other Information on Investing in Global Mutual Fund
Global Infrastructure financial ratios help investors to determine whether Global 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 Global with respect to the benefits of owning Global Infrastructure security.
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