Wuxi Biologics Stock Market Value
| WXXWY Stock | USD 3.25 0.03 0.91% |
| Symbol | WuXi |
WuXi Biologics '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 WuXi Biologics' pink sheet 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 WuXi Biologics.
| 03/26/2024 |
| 04/25/2024 |
If you would invest 0.00 in WuXi Biologics on March 26, 2024 and sell it all today you would earn a total of 0.00 from holding WuXi Biologics or generate 0.0% return on investment in WuXi Biologics over 30 days. WuXi Biologics is related to or competes with HUMANA, Barloworld, Morningstar Unconstrained, High Yield, Thrivent High, and Via Renewables. WuXi Biologics Inc. provides end-to-end solutions and services for biologics discovery, development and manufacturing in... More
WuXi Biologics 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 WuXi Biologics' pink sheet 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 WuXi Biologics upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 27.71 | |||
| Value At Risk | (12.20) | |||
| Potential Upside | 5.86 |
WuXi Biologics Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WuXi Biologics' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WuXi Biologics' standard deviation. In reality, there are many statistical measures that can use WuXi Biologics historical prices to predict the future WuXi Biologics' volatility.| Risk Adjusted Performance | (0.11) | |||
| Jensen Alpha | (1.01) | |||
| Total Risk Alpha | (1.74) | |||
| Treynor Ratio | 2.45 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of WuXi Biologics' 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.
WuXi Biologics Backtested Returns
WuXi Biologics shows Sharpe Ratio of -0.18, which attests that the company had a -0.18% return per unit of risk over the last 3 months. WuXi Biologics exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check out WuXi Biologics' Standard Deviation of 5.59, market risk adjusted performance of 2.46, and Mean Deviation of 3.87 to validate the risk estimate we provide. The firm maintains a market beta of -0.42, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning WuXi Biologics are expected to decrease at a much lower rate. During the bear market, WuXi Biologics is likely to outperform the market. WuXi Biologics has an expected return of -0.97%. Please make sure to check out WuXi Biologics potential upside, day median price, and the relationship between the treynor ratio and accumulation distribution , to decide if WuXi Biologics performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.19 |
Insignificant reverse predictability
WuXi Biologics has insignificant reverse predictability. Overlapping area represents the amount of predictability between WuXi Biologics time series from 26th of March 2024 to 10th of April 2024 and 10th of April 2024 to 25th 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 WuXi Biologics price movement. The serial correlation of -0.19 indicates that over 19.0% of current WuXi Biologics price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.19 | |
| Spearman Rank Test | -0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
WuXi Biologics lagged returns against current returns
Autocorrelation, which is WuXi Biologics pink sheet'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 WuXi Biologics' pink sheet expected returns. We can calculate the autocorrelation of WuXi Biologics returns to help us make a trade decision. For example, suppose you find that WuXi Biologics has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
WuXi Biologics 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 WuXi Biologics pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WuXi Biologics pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WuXi Biologics pink sheet over time.
Current vs Lagged Prices |
| Timeline |
WuXi Biologics Lagged Returns
When evaluating WuXi Biologics' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WuXi Biologics pink sheet have on its future price. WuXi Biologics 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, WuXi Biologics autocorrelation shows the relationship between WuXi Biologics pink sheet current value and its past values and can show if there is a momentum factor associated with investing in WuXi Biologics.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Check out WuXi Biologics Correlation, WuXi Biologics Volatility and WuXi Biologics Alpha and Beta module to complement your research on WuXi Biologics. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
Complementary Tools for WuXi Pink Sheet analysis
When running WuXi Biologics' price analysis, check to measure WuXi Biologics' 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 WuXi Biologics is operating at the current time. Most of WuXi Biologics' value examination focuses on studying past and present price action to predict the probability of WuXi Biologics' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move WuXi Biologics' price. Additionally, you may evaluate how the addition of WuXi Biologics to your portfolios can decrease your overall portfolio volatility.
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WuXi Biologics technical pink sheet 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, pink sheet market cycles, or different charting patterns.