Gmo Climate Change Fund Market Value
GCCHX Fund | USD 23.05 0.78 3.50% |
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.
02/27/2024 |
| 03/28/2024 |
If you would invest 0.00 in Gmo Climate on February 27, 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 USCF Gold, Gmo E, Gmo Us, Gmo Global, Gmo Quality, Gmo-usonian Japan, and Gmo-usonian Japan. 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.
Information Ratio | (0.17) | |||
Maximum Drawdown | 6.61 | |||
Value At Risk | (2.44) | |||
Potential Upside | 2.18 |
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 | (0.03) | |||
Jensen Alpha | (0.10) | |||
Total Risk Alpha | (0.42) | |||
Treynor Ratio | 1.38 |
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 -0.0719, which attests that the entity had a -0.0719% return per unit of risk over the last 3 months. Gmo Climate Change exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Gmo Climate's Risk Adjusted Performance of (0.03), standard deviation of 1.4, and Market Risk Adjusted Performance of 1.39 to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of -0.08, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Gmo Climate are expected to decrease at a much lower rate. During the bear market, Gmo Climate is likely to outperform the market.
Auto-correlation | 0.36 |
Below average predictability
Gmo Climate Change has below average predictability. Overlapping area represents the amount of predictability between Gmo Climate time series from 27th of February 2024 to 13th of March 2024 and 13th of March 2024 to 28th of March 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 0.36 indicates that just about 36.0% of current Gmo Climate price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.36 | |
Spearman Rank Test | 0.54 | |
Residual Average | 0.0 | |
Price Variance | 0.11 |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
Complementary Tools for Gmo Mutual Fund analysis
When running Gmo Climate's price analysis, check to measure Gmo Climate's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Gmo Climate is operating at the current time. Most of Gmo Climate's value examination focuses on studying past and present price action to predict the probability of Gmo Climate's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Gmo Climate's price. Additionally, you may evaluate how the addition of Gmo Climate to your portfolios can decrease your overall portfolio volatility.
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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.