Gohigh Data (China) Market Value

000851 Stock   2.46  0.06  2.50%   
Gohigh Data's market value is the price at which a share of Gohigh Data trades on a public exchange. It measures the collective expectations of Gohigh Data Networks investors about its performance. Gohigh Data is trading at 2.46 as of the 13th of March 2025, a 2.50 percent increase since the beginning of the trading day. The stock's open price was 2.4.
With this module, you can estimate the performance of a buy and hold strategy of Gohigh Data Networks and determine expected loss or profit from investing in Gohigh Data over a given investment horizon. Check out Gohigh Data Correlation, Gohigh Data Volatility and Gohigh Data Alpha and Beta module to complement your research on Gohigh Data.
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Please note, there is a significant difference between Gohigh Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Gohigh Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Gohigh Data's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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.
0.00
12/13/2024
No Change 0.00  0.0 
In 3 months and 1 day
03/13/2025
0.00
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.

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.
Hype
Prediction
LowEstimatedHigh
0.122.405.57
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Intrinsic
Valuation
LowRealHigh
0.112.265.43
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Please note, it is not enough to conduct a financial or market analysis of a single entity such as Gohigh Data. Your research has to be compared to or analyzed against Gohigh Data's peers to derive any actionable benefits. When done correctly, Gohigh Data's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Gohigh Data Networks.

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 Standard Deviation of 3.17, market risk adjusted performance of (8.86), and Risk Adjusted Performance of (0.18) 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 Coefficient0.73
Spearman Rank Test0.68
Residual Average0.0
Price Variance0.07

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  

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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.