Gmo Climate Change Fund Market Value
| GCCAX Fund | USD 21.68 0.18 0.84% |
| Symbol | Gmo |
Gmo Climate '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 Gmo Climate'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 Gmo Climate.
| 03/24/2024 |
| 04/23/2024 |
If you would invest 0.00 in Gmo Climate on March 24, 2024 and sell it all today you would earn a total of 0.00 from holding Gmo Climate Change or generate 0.0% return on investment in Gmo Climate over 30 days. Gmo Climate is related to or competes with Gmo Core, Gmo Us, Gmo Emerging, Gmo Emerging, Gmo Global, Gmo High, and Gmo Implementation. Under normal market conditions, the fund invests at least 80 percent of its assets in companies in climate change-relate... More
Gmo Climate 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 Gmo Climate'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 Gmo Climate Change upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.32 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 6.42 | |||
| Value At Risk | (2.03) | |||
| Potential Upside | 2.32 |
Gmo Climate Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gmo Climate's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gmo Climate's standard deviation. In reality, there are many statistical measures that can use Gmo Climate historical prices to predict the future Gmo Climate's volatility.| Risk Adjusted Performance | 0.0133 | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0043 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Gmo Climate'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.
Gmo Climate Change Backtested Returns
Gmo Climate Change holds Efficiency (Sharpe) Ratio of -0.0043, which attests that the entity had a -0.0043% return per unit of risk over the last 3 months. Gmo Climate Change exposes twenty-seven different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Gmo Climate's Downside Deviation of 1.32, market risk adjusted performance of 0.0143, and Risk Adjusted Performance of 0.0133 to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 1.77, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Gmo Climate will likely underperform.
Auto-correlation | -0.2 |
Insignificant reverse predictability
Gmo Climate Change has insignificant reverse predictability. Overlapping area represents the amount of predictability between Gmo Climate time series from 24th of March 2024 to 8th of April 2024 and 8th of April 2024 to 23rd of April 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 Gmo Climate Change price movement. The serial correlation of -0.2 indicates that over 20.0% of current Gmo Climate price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | -0.42 | |
| Residual Average | 0.0 | |
| Price Variance | 0.54 |
Gmo Climate Change lagged returns against current returns
Autocorrelation, which is Gmo Climate 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 Gmo Climate's mutual fund expected returns. We can calculate the autocorrelation of Gmo Climate returns to help us make a trade decision. For example, suppose you find that Gmo Climate 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 |
Gmo Climate 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 Gmo Climate mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gmo Climate mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Gmo Climate mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Gmo Climate Lagged Returns
When evaluating Gmo Climate's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gmo Climate mutual fund have on its future price. Gmo Climate 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, Gmo Climate autocorrelation shows the relationship between Gmo Climate mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Gmo Climate Change.
Regressed Prices |
| Timeline |
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Try AI Portfolio ArchitectCheck out Gmo Climate Correlation, Gmo Climate Volatility and Gmo Climate Alpha and Beta module to complement your research on Gmo Climate. Note that the Gmo Climate Change information on this page should be used as a complementary analysis to other Gmo Climate's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
Gmo Climate technical mutual fund 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, fund market cycles, or different charting patterns.