G Bits (China) Market Value
| 603444 Stock | 198.51 9.12 4.39% |
| Symbol | 603444 |
G Bits '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 G Bits' 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 G Bits.
| 11/30/2023 |
| 11/24/2024 |
If you would invest 0.00 in G Bits on November 30, 2023 and sell it all today you would earn a total of 0.00 from holding G bits Network Technology or generate 0.0% return on investment in G Bits over 360 days. G Bits is related to or competes with Shanghai Zhangjiang, Guangzhou Haige, Fujian Newland, Fiberhome Telecommunicatio, and Tongyu Communication. G Bits is entity of China. It is traded as Stock on SHG exchange. More
G Bits 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 G Bits' 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 G bits Network Technology upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.27 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 18.75 | |||
| Value At Risk | (4.79) | |||
| Potential Upside | 5.21 |
G Bits Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for G Bits' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as G Bits' standard deviation. In reality, there are many statistical measures that can use G Bits historical prices to predict the future G Bits' volatility.| Risk Adjusted Performance | 0.0247 | |||
| Jensen Alpha | 0.0332 | |||
| Total Risk Alpha | (0.49) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.2381 |
G bits Network Backtested Returns
G Bits appears to be very steady, given 3 months investment horizon. G bits Network holds Efficiency (Sharpe) Ratio of 0.0808, which attests that the company had a 0.0808% return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for G bits Network, which you can use to evaluate the volatility of the entity. Please utilize G Bits' mean deviation of 2.75, and Semi Deviation of 3.16 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, G Bits holds a performance score of 6. The firm retains a Market Volatility (i.e., Beta) of 0.28, which attests to not very significant fluctuations relative to the market. As returns on the market increase, G Bits' returns are expected to increase less than the market. However, during the bear market, the loss of holding G Bits is expected to be smaller as well. Please check G Bits' downside deviation, standard deviation, and the relationship between the semi deviation and coefficient of variation , to make a quick decision on whether G Bits' current trending patterns will revert.
Auto-correlation | -0.39 |
Poor reverse predictability
G bits Network Technology has poor reverse predictability. Overlapping area represents the amount of predictability between G Bits time series from 30th of November 2023 to 28th of May 2024 and 28th of May 2024 to 24th of November 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 G bits Network price movement. The serial correlation of -0.39 indicates that just about 39.0% of current G Bits price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.39 | |
| Spearman Rank Test | -0.6 | |
| Residual Average | 0.0 | |
| Price Variance | 521.0 |
G bits Network lagged returns against current returns
Autocorrelation, which is G Bits 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 G Bits' stock expected returns. We can calculate the autocorrelation of G Bits returns to help us make a trade decision. For example, suppose you find that G Bits 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 |
G Bits 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 G Bits stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if G Bits stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in G Bits stock over time.
Current vs Lagged Prices |
| Timeline |
G Bits Lagged Returns
When evaluating G Bits' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of G Bits stock have on its future price. G Bits 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, G Bits autocorrelation shows the relationship between G Bits stock current value and its past values and can show if there is a momentum factor associated with investing in G bits Network Technology.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in 603444 Stock
G Bits financial ratios help investors to determine whether 603444 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 603444 with respect to the benefits of owning G Bits security.