Alibaba Group (Mexico) Market Value
| BABAN Stock | MXN 1,170 18.77 1.58% |
| Symbol | Alibaba |
Alibaba Group '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 Alibaba Group'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 Alibaba Group.
| 02/18/2024 |
| 04/18/2024 |
If you would invest 0.00 in Alibaba Group on February 18, 2024 and sell it all today you would earn a total of 0.00 from holding Alibaba Group Holding or generate 0.0% return on investment in Alibaba Group over 60 days. Alibaba Group is related to or competes with Grupo Hotelero, Micron Technology, McEwen Mining, Air Transport, Cognizant Technology, CVS Health, and Hoteles City. Alibaba Group Holding Limited, through its subsidiaries, provides online and mobile commerce businesses in the Peoples R... More
Alibaba Group 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 Alibaba Group'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 Alibaba Group Holding upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 14.24 | |||
| Value At Risk | (3.71) | |||
| Potential Upside | 2.96 |
Alibaba Group Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Alibaba Group's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Alibaba Group's standard deviation. In reality, there are many statistical measures that can use Alibaba Group historical prices to predict the future Alibaba Group's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.04) | |||
| Total Risk Alpha | (0.22) | |||
| Treynor Ratio | 0.2297 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Alibaba Group's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Alibaba Group Holding Backtested Returns
Alibaba Group Holding secures Sharpe Ratio (or Efficiency) of -0.0014, which signifies that the company had a -0.0014% return per unit of risk over the last 3 months. Alibaba Group Holding exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Alibaba Group's Risk Adjusted Performance of (0), mean deviation of 1.6, and Standard Deviation of 2.31 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.22, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Alibaba Group are expected to decrease at a much lower rate. During the bear market, Alibaba Group is likely to outperform the market. Alibaba Group Holding has an expected return of -0.0032%. Please make sure to confirm Alibaba Group Holding total risk alpha, kurtosis, market facilitation index, as well as the relationship between the value at risk and rate of daily change , to decide if Alibaba Group Holding performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.20 |
Weak predictability
Alibaba Group Holding has weak predictability. Overlapping area represents the amount of predictability between Alibaba Group time series from 18th of February 2024 to 19th of March 2024 and 19th of March 2024 to 18th of April 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 Alibaba Group Holding price movement. The serial correlation of 0.2 indicates that over 20.0% of current Alibaba Group price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.2 | |
| Spearman Rank Test | 0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 467.96 |
Alibaba Group Holding lagged returns against current returns
Autocorrelation, which is Alibaba Group 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 Alibaba Group's stock expected returns. We can calculate the autocorrelation of Alibaba Group returns to help us make a trade decision. For example, suppose you find that Alibaba Group 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 |
Alibaba Group 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 Alibaba Group stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Alibaba Group stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Alibaba Group stock over time.
Current vs Lagged Prices |
| Timeline |
Alibaba Group Lagged Returns
When evaluating Alibaba Group's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Alibaba Group stock have on its future price. Alibaba Group 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, Alibaba Group autocorrelation shows the relationship between Alibaba Group stock current value and its past values and can show if there is a momentum factor associated with investing in Alibaba Group Holding.
Regressed Prices |
| Timeline |
Pair Trading with Alibaba Group
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Alibaba Group position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Alibaba Group will appreciate offsetting losses from the drop in the long position's value.Moving against Alibaba Stock
| 0.49 | FFIV | F5 Networks | PairCorr |
The ability to find closely correlated positions to Alibaba Group could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Alibaba Group when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Alibaba Group - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Alibaba Group Holding to buy it.
The correlation of Alibaba Group is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Alibaba Group moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Alibaba Group Holding moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Alibaba Group can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Alibaba Group Correlation, Alibaba Group Volatility and Alibaba Group Alpha and Beta module to complement your research on Alibaba Group. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Complementary Tools for Alibaba Stock analysis
When running Alibaba Group's price analysis, check to measure Alibaba Group's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Alibaba Group is operating at the current time. Most of Alibaba Group's value examination focuses on studying past and present price action to predict the probability of Alibaba Group's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alibaba Group's price. Additionally, you may evaluate how the addition of Alibaba Group to your portfolios can decrease your overall portfolio volatility.
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Alibaba Group technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.