Lonza Group Stock Market Value
| LZAGF Stock | USD 606.75 17.50 2.97% |
| Symbol | Lonza |
Lonza '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 Lonza's 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 Lonza.
| 10/31/2024 |
| 11/30/2024 |
If you would invest 0.00 in Lonza on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Lonza Group or generate 0.0% return on investment in Lonza over 30 days. Lonza is related to or competes with Sonic Healthcare, Charles River, Qiagen NV, Thermo Fisher, Agilent Technologies, IDEXX Laboratories, and Illumina. Lonza Group AG, together with its subsidiaries, supplies various products and services for pharmaceutical, biotech, and ... More
Lonza 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 Lonza's 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 Lonza Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.07) | |||
| Maximum Drawdown | 12.97 | |||
| Value At Risk | (4.29) | |||
| Potential Upside | 4.52 |
Lonza Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Lonza's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Lonza's standard deviation. In reality, there are many statistical measures that can use Lonza historical prices to predict the future Lonza's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.11) | |||
| Total Risk Alpha | (0.52) | |||
| Treynor Ratio | (0.23) |
Lonza Group Backtested Returns
Lonza Group has Sharpe Ratio of -0.0315, which conveys that the firm had a -0.0315% return per unit of risk over the last 3 months. Lonza exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Lonza's Mean Deviation of 1.99, risk adjusted performance of (0.01), and Standard Deviation of 2.68 to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.32, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Lonza's returns are expected to increase less than the market. However, during the bear market, the loss of holding Lonza is expected to be smaller as well. At this point, Lonza Group has a negative expected return of -0.0854%. Please make sure to verify Lonza's kurtosis, and the relationship between the maximum drawdown and day median price , to decide if Lonza Group performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.10 |
Insignificant predictability
Lonza Group has insignificant predictability. Overlapping area represents the amount of predictability between Lonza time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th 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 Lonza Group price movement. The serial correlation of 0.1 indicates that less than 10.0% of current Lonza price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.1 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 151.05 |
Lonza Group lagged returns against current returns
Autocorrelation, which is Lonza 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 Lonza's pink sheet expected returns. We can calculate the autocorrelation of Lonza returns to help us make a trade decision. For example, suppose you find that Lonza 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 |
Lonza 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 Lonza pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Lonza pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Lonza pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Lonza Lagged Returns
When evaluating Lonza's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Lonza pink sheet have on its future price. Lonza 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, Lonza autocorrelation shows the relationship between Lonza pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Lonza Group.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Lonza Pink Sheet
Lonza financial ratios help investors to determine whether Lonza Pink Sheet 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 Lonza with respect to the benefits of owning Lonza security.