Cars (Germany) Market Value
| CK3 Stock | EUR 17.40 0.20 1.16% |
| Symbol | Cars |
Cars '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 Cars' 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 Cars.
| 12/03/2022 |
| 11/22/2024 |
If you would invest 0.00 in Cars on December 3, 2022 and sell it all today you would earn a total of 0.00 from holding Cars Inc or generate 0.0% return on investment in Cars over 720 days. Cars is related to or competes with Superior Plus, NMI Holdings, Origin Agritech, SIVERS SEMICONDUCTORS, Talanx AG, NorAm Drilling, and Identiv. Cars.com Inc., through its subsidiaries, operates as a digital automotive marketplace that connects car shoppers with se... More
Cars 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 Cars' 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 Cars Inc upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.18 | |||
| Information Ratio | 0.0309 | |||
| Maximum Drawdown | 12.54 | |||
| Value At Risk | (3.14) | |||
| Potential Upside | 4.88 |
Cars Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Cars' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Cars' standard deviation. In reality, there are many statistical measures that can use Cars historical prices to predict the future Cars' volatility.| Risk Adjusted Performance | 0.0646 | |||
| Jensen Alpha | 0.1664 | |||
| Total Risk Alpha | (0.14) | |||
| Sortino Ratio | 0.0346 | |||
| Treynor Ratio | 2.06 |
Cars Inc Backtested Returns
At this point, Cars is not too volatile. Cars Inc secures Sharpe Ratio (or Efficiency) of 0.0611, which signifies that the company had a 0.0611% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Cars Inc, which you can use to evaluate the volatility of the firm. Please confirm Cars' Downside Deviation of 2.18, risk adjusted performance of 0.0646, and Mean Deviation of 1.75 to double-check if the risk estimate we provide is consistent with the expected return of 0.15%. Cars has a performance score of 4 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0847, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Cars' returns are expected to increase less than the market. However, during the bear market, the loss of holding Cars is expected to be smaller as well. Cars Inc right now shows a risk of 2.42%. Please confirm Cars Inc sortino ratio, maximum drawdown, and the relationship between the total risk alpha and treynor ratio , to decide if Cars Inc will be following its price patterns.
Auto-correlation | 0.17 |
Very weak predictability
Cars Inc has very weak predictability. Overlapping area represents the amount of predictability between Cars time series from 3rd of December 2022 to 28th of November 2023 and 28th of November 2023 to 22nd 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 Cars Inc price movement. The serial correlation of 0.17 indicates that over 17.0% of current Cars price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.17 | |
| Spearman Rank Test | -0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 1.42 |
Cars Inc lagged returns against current returns
Autocorrelation, which is Cars 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 Cars' stock expected returns. We can calculate the autocorrelation of Cars returns to help us make a trade decision. For example, suppose you find that Cars 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 |
Cars 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 Cars stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Cars stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Cars stock over time.
Current vs Lagged Prices |
| Timeline |
Cars Lagged Returns
When evaluating Cars' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Cars stock have on its future price. Cars 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, Cars autocorrelation shows the relationship between Cars stock current value and its past values and can show if there is a momentum factor associated with investing in Cars Inc.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in Cars Stock
When determining whether Cars Inc is a strong investment it is important to analyze Cars' competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Cars' future performance. For an informed investment choice regarding Cars Stock, refer to the following important reports:Check out Cars Correlation, Cars Volatility and Cars Alpha and Beta module to complement your research on Cars. You can also try the Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
Cars 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.