Great West Multi Manager Large Fund Market Value
| MXGSX Fund | USD 11.90 0.08 0.67% |
| Symbol | Great-west |
Great-west Multi-manager '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 Great-west Multi-manager'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 Great-west Multi-manager.
| 01/27/2025 |
| 02/26/2025 |
If you would invest 0.00 in Great-west Multi-manager on January 27, 2025 and sell it all today you would earn a total of 0.00 from holding Great West Multi Manager Large or generate 0.0% return on investment in Great-west Multi-manager over 30 days. Great-west Multi-manager is related to or competes with Red Oak, Hennessy Technology, Technology Ultrasector, Goldman Sachs, Global Technology, T Rowe, and Dreyfus Technology. The fund will, under normal circumstances, invest 80 percent of its net assets in equity securities of large capitalizat... More
Great-west Multi-manager 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 Great-west Multi-manager'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 Great West Multi Manager Large upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 9.66 | |||
| Value At Risk | (1.95) | |||
| Potential Upside | 1.3 |
Great-west Multi-manager Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Great-west Multi-manager's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Great-west Multi-manager's standard deviation. In reality, there are many statistical measures that can use Great-west Multi-manager historical prices to predict the future Great-west Multi-manager's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.10) | |||
| Total Risk Alpha | (0.11) | |||
| Treynor Ratio | (0.15) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Great-west Multi-manager'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.
Great-west Multi-manager Backtested Returns
Great-west Multi-manager holds Efficiency (Sharpe) Ratio of -0.1, which attests that the entity had a -0.1 % return per unit of risk over the last 3 months. Great-west Multi-manager exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Great-west Multi-manager's Risk Adjusted Performance of (0.04), standard deviation of 1.37, and Market Risk Adjusted Performance of (0.14) to validate the risk estimate we provide. The fund retains a Market Volatility (i.e., Beta) of 0.67, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Great-west Multi-manager's returns are expected to increase less than the market. However, during the bear market, the loss of holding Great-west Multi-manager is expected to be smaller as well.
Auto-correlation | -0.09 |
Very weak reverse predictability
Great West Multi Manager Large has very weak reverse predictability. Overlapping area represents the amount of predictability between Great-west Multi-manager time series from 27th of January 2025 to 11th of February 2025 and 11th of February 2025 to 26th of February 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 Great-west Multi-manager price movement. The serial correlation of -0.09 indicates that less than 9.0% of current Great-west Multi-manager price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.09 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
Great-west Multi-manager lagged returns against current returns
Autocorrelation, which is Great-west Multi-manager 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 Great-west Multi-manager's mutual fund expected returns. We can calculate the autocorrelation of Great-west Multi-manager returns to help us make a trade decision. For example, suppose you find that Great-west Multi-manager 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 |
Great-west Multi-manager 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 Great-west Multi-manager mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Great-west Multi-manager mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Great-west Multi-manager mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Great-west Multi-manager Lagged Returns
When evaluating Great-west Multi-manager's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Great-west Multi-manager mutual fund have on its future price. Great-west Multi-manager 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, Great-west Multi-manager autocorrelation shows the relationship between Great-west Multi-manager mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Great West Multi Manager Large.
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 Great-west Mutual Fund
Great-west Multi-manager financial ratios help investors to determine whether Great-west 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 Great-west with respect to the benefits of owning Great-west Multi-manager security.
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