Lyft (Germany) Market Value
| LY0 Stock | EUR 15.73 0.08 0.51% |
| Symbol | Lyft |
Lyft '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 Lyft'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 Lyft.
| 11/30/2023 |
| 11/24/2024 |
If you would invest 0.00 in Lyft on November 30, 2023 and sell it all today you would earn a total of 0.00 from holding Lyft Inc or generate 0.0% return on investment in Lyft over 360 days. Lyft is related to or competes with Rayonier Advanced, Goodyear Tire, United Airlines, APPLIED MATERIALS, Southwest Airlines, and Hyster-Yale Materials. Lyft, Inc. operates a peer-to-peer marketplace for on-demand ridesharing in the United States and Canada More
Lyft 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 Lyft'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 Lyft Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.9 | |||
| Information Ratio | 0.1431 | |||
| Maximum Drawdown | 33.92 | |||
| Value At Risk | (4.32) | |||
| Potential Upside | 6.23 |
Lyft Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Lyft's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Lyft's standard deviation. In reality, there are many statistical measures that can use Lyft historical prices to predict the future Lyft's volatility.| Risk Adjusted Performance | 0.1416 | |||
| Jensen Alpha | 0.6474 | |||
| Total Risk Alpha | 0.0597 | |||
| Sortino Ratio | 0.2094 | |||
| Treynor Ratio | 1.1 |
Lyft Inc Backtested Returns
Lyft appears to be somewhat reliable, given 3 months investment horizon. Lyft Inc has Sharpe Ratio of 0.17, which conveys that the firm had a 0.17% return per unit of risk over the last 3 months. By analyzing Lyft's technical indicators, you can evaluate if the expected return of 0.72% is justified by implied risk. Please exercise Lyft's Downside Deviation of 2.9, risk adjusted performance of 0.1416, and Mean Deviation of 2.53 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Lyft holds a performance score of 13. The company secures a Beta (Market Risk) of 0.66, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Lyft's returns are expected to increase less than the market. However, during the bear market, the loss of holding Lyft is expected to be smaller as well. Please check Lyft's standard deviation, total risk alpha, and the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether Lyft's current price movements will revert.
Auto-correlation | -0.36 |
Poor reverse predictability
Lyft Inc has poor reverse predictability. Overlapping area represents the amount of predictability between Lyft time series from 30th of November 2023 to 28th of May 2024 and 28th of May 2024 to 24th 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 Lyft Inc price movement. The serial correlation of -0.36 indicates that just about 36.0% of current Lyft price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.36 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 3.12 |
Lyft Inc lagged returns against current returns
Autocorrelation, which is Lyft 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 Lyft's stock expected returns. We can calculate the autocorrelation of Lyft returns to help us make a trade decision. For example, suppose you find that Lyft 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 |
Lyft 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 Lyft stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Lyft stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Lyft stock over time.
Current vs Lagged Prices |
| Timeline |
Lyft Lagged Returns
When evaluating Lyft's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Lyft stock have on its future price. Lyft 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, Lyft autocorrelation shows the relationship between Lyft stock current value and its past values and can show if there is a momentum factor associated with investing in Lyft Inc.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Lyft Stock
When determining whether Lyft Inc is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Lyft Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Lyft Inc Stock. Highlighted below are key reports to facilitate an investment decision about Lyft Inc Stock:Check out Lyft Correlation, Lyft Volatility and Lyft Alpha and Beta module to complement your research on Lyft. You can also try the Equity Valuation module to check real value of public entities based on technical and fundamental data.
Lyft 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.