Xiaomi (Germany) Market Value
| 3CP Stock | EUR 3.52 0.01 0.28% |
| Symbol | Xiaomi |
Xiaomi '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 Xiaomi'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 Xiaomi.
| 01/15/2023 |
| 12/05/2024 |
If you would invest 0.00 in Xiaomi on January 15, 2023 and sell it all today you would earn a total of 0.00 from holding Xiaomi or generate 0.0% return on investment in Xiaomi over 690 days. Xiaomi is related to or competes with BYD Company, Nel ASA, and Tencent Holdings. Xiaomi Corporation, an investment holding company, provides hardware, software, and internet services in Mainland China,... More
Xiaomi 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 Xiaomi'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 Xiaomi upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.2 | |||
| Information Ratio | 0.2016 | |||
| Maximum Drawdown | 18.2 | |||
| Value At Risk | (4.35) | |||
| Potential Upside | 6.04 |
Xiaomi Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Xiaomi's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Xiaomi's standard deviation. In reality, there are many statistical measures that can use Xiaomi historical prices to predict the future Xiaomi's volatility.| Risk Adjusted Performance | 0.1908 | |||
| Jensen Alpha | 0.7897 | |||
| Total Risk Alpha | 0.1896 | |||
| Sortino Ratio | 0.1996 | |||
| Treynor Ratio | (7.29) |
Xiaomi Backtested Returns
Xiaomi appears to be unstable, given 3 months investment horizon. Xiaomi shows Sharpe Ratio of 0.27, which attests that the company had a 0.27% return per unit of risk over the last 3 months. By examining Xiaomi's technical indicators, you can evaluate if the expected return of 0.87% is justified by implied risk. Please utilize Xiaomi's Market Risk Adjusted Performance of (7.28), mean deviation of 2.41, and Downside Deviation of 3.2 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Xiaomi holds a performance score of 21. The firm maintains a market beta of -0.11, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Xiaomi are expected to decrease at a much lower rate. During the bear market, Xiaomi is likely to outperform the market. Please check Xiaomi's market risk adjusted performance, semi deviation, coefficient of variation, as well as the relationship between the mean deviation and downside deviation , to make a quick decision on whether Xiaomi's historical returns will revert.
Auto-correlation | 0.69 |
Good predictability
Xiaomi has good predictability. Overlapping area represents the amount of predictability between Xiaomi time series from 15th of January 2023 to 26th of December 2023 and 26th of December 2023 to 5th of December 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 Xiaomi price movement. The serial correlation of 0.69 indicates that around 69.0% of current Xiaomi price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.48 | |
| Residual Average | 0.0 | |
| Price Variance | 0.31 |
Xiaomi lagged returns against current returns
Autocorrelation, which is Xiaomi 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 Xiaomi's stock expected returns. We can calculate the autocorrelation of Xiaomi returns to help us make a trade decision. For example, suppose you find that Xiaomi 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 |
Xiaomi 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 Xiaomi stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Xiaomi stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Xiaomi stock over time.
Current vs Lagged Prices |
| Timeline |
Xiaomi Lagged Returns
When evaluating Xiaomi's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Xiaomi stock have on its future price. Xiaomi 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, Xiaomi autocorrelation shows the relationship between Xiaomi stock current value and its past values and can show if there is a momentum factor associated with investing in Xiaomi.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Xiaomi Stock
Xiaomi financial ratios help investors to determine whether Xiaomi 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 Xiaomi with respect to the benefits of owning Xiaomi security.