Pylon Technologies (China) Market Value
| 688063 Stock | 38.00 0.86 2.21% |
| Symbol | Pylon |
Pylon Technologies '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 Pylon Technologies' 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 Pylon Technologies.
| 11/05/2024 |
| 01/04/2025 |
If you would invest 0.00 in Pylon Technologies on November 5, 2024 and sell it all today you would earn a total of 0.00 from holding Pylon Technologies Co or generate 0.0% return on investment in Pylon Technologies over 60 days. Pylon Technologies is related to or competes with Shenzhen Silver, Shenyang Blue, Fujian Oriental, Changchun Engley, Uroica Mining, Guangzhou Automobile, and Dongfeng Automobile. Pylon Technologies is entity of China. It is traded as Stock on SHG exchange. More
Pylon Technologies 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 Pylon Technologies' 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 Pylon Technologies Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.0 | |||
| Information Ratio | 0.0207 | |||
| Maximum Drawdown | 34.15 | |||
| Value At Risk | (5.50) | |||
| Potential Upside | 9.99 |
Pylon Technologies Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Pylon Technologies' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Pylon Technologies' standard deviation. In reality, there are many statistical measures that can use Pylon Technologies historical prices to predict the future Pylon Technologies' volatility.| Risk Adjusted Performance | 0.0287 | |||
| Jensen Alpha | 0.115 | |||
| Total Risk Alpha | 0.0405 | |||
| Sortino Ratio | 0.0266 | |||
| Treynor Ratio | 0.3951 |
Pylon Technologies Backtested Returns
Pylon Technologies maintains Sharpe Ratio (i.e., Efficiency) of -0.18, which implies the firm had a -0.18% return per unit of risk over the last 3 months. Pylon Technologies exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Pylon Technologies' Coefficient Of Variation of 3995.71, risk adjusted performance of 0.0287, and Semi Deviation of 3.92 to confirm the risk estimate we provide. The company holds a Beta of 0.3, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Pylon Technologies' returns are expected to increase less than the market. However, during the bear market, the loss of holding Pylon Technologies is expected to be smaller as well. At this point, Pylon Technologies has a negative expected return of -0.66%. Please make sure to check Pylon Technologies' semi deviation, coefficient of variation, jensen alpha, as well as the relationship between the downside deviation and information ratio , to decide if Pylon Technologies performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.67 |
Good predictability
Pylon Technologies Co has good predictability. Overlapping area represents the amount of predictability between Pylon Technologies time series from 5th of November 2024 to 5th of December 2024 and 5th of December 2024 to 4th of January 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 Pylon Technologies price movement. The serial correlation of 0.67 indicates that around 67.0% of current Pylon Technologies price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 5.85 |
Pylon Technologies lagged returns against current returns
Autocorrelation, which is Pylon Technologies 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 Pylon Technologies' stock expected returns. We can calculate the autocorrelation of Pylon Technologies returns to help us make a trade decision. For example, suppose you find that Pylon Technologies 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 |
Pylon Technologies 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 Pylon Technologies stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Pylon Technologies stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Pylon Technologies stock over time.
Current vs Lagged Prices |
| Timeline |
Pylon Technologies Lagged Returns
When evaluating Pylon Technologies' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Pylon Technologies stock have on its future price. Pylon Technologies 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, Pylon Technologies autocorrelation shows the relationship between Pylon Technologies stock current value and its past values and can show if there is a momentum factor associated with investing in Pylon Technologies Co.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Pylon Stock
Pylon Technologies financial ratios help investors to determine whether Pylon 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 Pylon with respect to the benefits of owning Pylon Technologies security.