Gohigh Data (China) Market Value
| 000851 Stock | 2.46 0.06 2.50% |
| Symbol | Gohigh |
Gohigh Data '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 Gohigh Data's stock 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 Gohigh Data.
| 12/13/2024 |
| 03/13/2025 |
If you would invest 0.00 in Gohigh Data on December 13, 2024 and sell it all today you would earn a total of 0.00 from holding Gohigh Data Networks or generate 0.0% return on investment in Gohigh Data over 90 days. Gohigh Data is related to or competes with Queclink Wireless, Guangzhou Haige, Agricultural Bank, State Grid, Hongrun Construction, and Hunan Tyen. More
Gohigh Data 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 Gohigh Data's stock 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 Gohigh Data Networks upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.19) | |||
| Maximum Drawdown | 10.09 | |||
| Value At Risk | (5.06) | |||
| Potential Upside | 4.98 |
Gohigh Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Gohigh Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Gohigh Data's standard deviation. In reality, there are many statistical measures that can use Gohigh Data historical prices to predict the future Gohigh Data's volatility.| Risk Adjusted Performance | (0.18) | |||
| Jensen Alpha | (0.72) | |||
| Total Risk Alpha | (0.24) | |||
| Treynor Ratio | (8.87) |
Gohigh Data Networks Backtested Returns
Gohigh Data Networks holds Efficiency (Sharpe) Ratio of -0.23, which attests that the entity had a -0.23 % return per unit of risk over the last 3 months. Gohigh Data Networks exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out Gohigh Data's Risk Adjusted Performance of (0.18), market risk adjusted performance of (8.86), and Standard Deviation of 3.17 to validate the risk estimate we provide. The company retains a Market Volatility (i.e., Beta) of 0.082, which attests to not very significant fluctuations relative to the market. As returns on the market increase, Gohigh Data's returns are expected to increase less than the market. However, during the bear market, the loss of holding Gohigh Data is expected to be smaller as well. At this point, Gohigh Data Networks has a negative expected return of -0.72%. Please make sure to check out Gohigh Data's market risk adjusted performance, coefficient of variation, information ratio, as well as the relationship between the mean deviation and standard deviation , to decide if Gohigh Data Networks performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.73 |
Good predictability
Gohigh Data Networks has good predictability. Overlapping area represents the amount of predictability between Gohigh Data time series from 13th of December 2024 to 27th of January 2025 and 27th of January 2025 to 13th 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 Gohigh Data Networks price movement. The serial correlation of 0.73 indicates that around 73.0% of current Gohigh Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.73 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Gohigh Data Networks lagged returns against current returns
Autocorrelation, which is Gohigh Data stock'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 Gohigh Data's stock expected returns. We can calculate the autocorrelation of Gohigh Data returns to help us make a trade decision. For example, suppose you find that Gohigh Data has exhibited high autocorrelation historically, and you observe that the stock 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 |
Gohigh Data 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 Gohigh Data stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Gohigh Data stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Gohigh Data stock over time.
Current vs Lagged Prices |
| Timeline |
Gohigh Data Lagged Returns
When evaluating Gohigh Data's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Gohigh Data stock have on its future price. Gohigh Data 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, Gohigh Data autocorrelation shows the relationship between Gohigh Data stock current value and its past values and can show if there is a momentum factor associated with investing in Gohigh Data Networks.
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 Gohigh Stock
Gohigh Data financial ratios help investors to determine whether Gohigh Stock 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 Gohigh with respect to the benefits of owning Gohigh Data security.