ZTE (Germany) Market Value
| FZM Stock | EUR 2.30 0.05 2.22% |
| Symbol | ZTE |
ZTE '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 ZTE'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 ZTE.
| 10/27/2024 |
| 11/26/2024 |
If you would invest 0.00 in ZTE on October 27, 2024 and sell it all today you would earn a total of 0.00 from holding ZTE Corporation or generate 0.0% return on investment in ZTE over 30 days. ZTE is related to or competes with United Insurance, Goosehead Insurance, Scandinavian Tobacco, British American, Japan Tobacco, LIFENET INSURANCE, and Marie Brizard. ZTE Corporation provides integrated telecommunications and information technology solutions worldwide More
ZTE 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 ZTE'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 ZTE Corporation upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.82 | |||
| Information Ratio | 0.0742 | |||
| Maximum Drawdown | 39.74 | |||
| Value At Risk | (4.27) | |||
| Potential Upside | 7.49 |
ZTE Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for ZTE's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as ZTE's standard deviation. In reality, there are many statistical measures that can use ZTE historical prices to predict the future ZTE's volatility.| Risk Adjusted Performance | 0.0854 | |||
| Jensen Alpha | 0.5352 | |||
| Total Risk Alpha | (0.27) | |||
| Sortino Ratio | 0.0746 | |||
| Treynor Ratio | (1.00) |
ZTE Corporation Backtested Returns
ZTE appears to be dangerous, given 3 months investment horizon. ZTE Corporation shows Sharpe Ratio of 0.12, which attests that the company had a 0.12% return per unit of volatility over the last 3 months. By analyzing ZTE's technical indicators, you can evaluate if the expected return of 0.56% is justified by implied risk. Please utilize ZTE's Mean Deviation of 3.01, risk adjusted performance of 0.0854, and Downside Deviation of 4.82 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, ZTE holds a performance score of 9. The firm maintains a market beta of -0.48, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning ZTE are expected to decrease at a much lower rate. During the bear market, ZTE is likely to outperform the market. Please check ZTE's total risk alpha, value at risk, and the relationship between the standard deviation and treynor ratio , to make a quick decision on whether ZTE's historical returns will revert.
Auto-correlation | -0.4 |
Poor reverse predictability
ZTE Corporation has poor reverse predictability. Overlapping area represents the amount of predictability between ZTE time series from 27th of October 2024 to 11th of November 2024 and 11th of November 2024 to 26th 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 ZTE Corporation price movement. The serial correlation of -0.4 indicates that just about 40.0% of current ZTE price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.4 | |
| Spearman Rank Test | -0.59 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
ZTE Corporation lagged returns against current returns
Autocorrelation, which is ZTE 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 ZTE's stock expected returns. We can calculate the autocorrelation of ZTE returns to help us make a trade decision. For example, suppose you find that ZTE 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 |
ZTE 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 ZTE stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if ZTE stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in ZTE stock over time.
Current vs Lagged Prices |
| Timeline |
ZTE Lagged Returns
When evaluating ZTE's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of ZTE stock have on its future price. ZTE 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, ZTE autocorrelation shows the relationship between ZTE stock current value and its past values and can show if there is a momentum factor associated with investing in ZTE Corporation.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in ZTE Stock
ZTE financial ratios help investors to determine whether ZTE 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 ZTE with respect to the benefits of owning ZTE security.