GEX's market value is the price at which a share of GEX trades on a public exchange. It measures the collective expectations of GEX investors about its performance. GEX is listed at 2505.82 as of the 29th of July 2025, which is a 1.02% down since the beginning of the trading day. The index's lowest day price was 2505.82. With this module, you can estimate the performance of a buy and hold strategy of GEX and determine expected loss or profit from investing in GEX over a given investment horizon. Check out Risk vs Return Analysis to better understand how to build diversified portfolios. Also, note that the market value of any index could be closely tied with the direction of predictive economic indicators such as signals in gross domestic product.
Symbol
GEX
GEX '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 GEX's index 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 GEX.
0.00
04/30/2025
No Change 0.00
0.0
In 3 months and 1 day
07/29/2025
0.00
If you would invest 0.00 in GEX on April 30, 2025 and sell it all today you would earn a total of 0.00 from holding GEX or generate 0.0% return on investment in GEX over 90 days.
GEX 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 GEX's index 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 GEX upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for GEX's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GEX's standard deviation. In reality, there are many statistical measures that can use GEX historical prices to predict the future GEX's volatility.
GEX holds Efficiency (Sharpe) Ratio of 0.18, which attests that the entity had a 0.18 % return per unit of volatility over the last 3 months. We have found twenty-five technical indicators for GEX, which you can use to evaluate the volatility of the entity. The index retains a Market Volatility (i.e., Beta) of 0.0, which attests to not very significant fluctuations relative to the market. the returns on MARKET and GEX are completely uncorrelated.
Auto-correlation
0.60
Good predictability
GEX has good predictability. Overlapping area represents the amount of predictability between GEX time series from 30th of April 2025 to 14th of June 2025 and 14th of June 2025 to 29th of July 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 GEX price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current GEX price fluctuation can be explain by its past prices.
Correlation Coefficient
0.6
Spearman Rank Test
0.69
Residual Average
0.0
Price Variance
1163.31
GEX lagged returns against current returns
Autocorrelation, which is GEX index'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 GEX's index expected returns. We can calculate the autocorrelation of GEX returns to help us make a trade decision. For example, suppose you find that GEX has exhibited high autocorrelation historically, and you observe that the index 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
GEX 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 GEX index is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GEX index is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GEX index over time.
Current vs Lagged Prices
Timeline
GEX Lagged Returns
When evaluating GEX's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GEX index have on its future price. GEX 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, GEX autocorrelation shows the relationship between GEX index current value and its past values and can show if there is a momentum factor associated with investing in GEX.
Regressed Prices
Timeline
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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.