Swatch Group (Germany) Market Value
| UHRA Stock | EUR 10.40 0.10 0.95% |
| Symbol | Swatch |
Swatch 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 Swatch 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 Swatch Group.
| 03/25/2024 |
| 04/24/2024 |
If you would invest 0.00 in Swatch Group on March 25, 2024 and sell it all today you would earn a total of 0.00 from holding The Swatch Group or generate 0.0% return on investment in Swatch Group over 30 days. Swatch Group is related to or competes with AGRICULTBK HADR25, Nufarm, KIMBALL ELECTRONICS, Benchmark Electronics, DAIRY FARM, Titan Machinery, and TT Electronics. The Swatch Group AG designs, manufactures, and sells finished watches, jewelry, and watch movements and components world... More
Swatch 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 Swatch 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 The Swatch Group upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 20.35 | |||
| Value At Risk | (7.69) | |||
| Potential Upside | 7.92 |
Swatch Group Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Swatch Group's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Swatch Group's standard deviation. In reality, there are many statistical measures that can use Swatch Group historical prices to predict the future Swatch Group's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.12) | |||
| Total Risk Alpha | (0.61) | |||
| Treynor Ratio | (0.34) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Swatch 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.
Swatch Group Backtested Returns
Swatch Group owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0014, which indicates the firm had a -0.0014% return per unit of risk over the last 3 months. The Swatch Group exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Swatch Group's Variance of 15.72, coefficient of variation of (4,560), and Risk Adjusted Performance of (0.01) to confirm the risk estimate we provide. The entity has a beta of 0.29, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Swatch Group's returns are expected to increase less than the market. However, during the bear market, the loss of holding Swatch Group is expected to be smaller as well. Swatch Group has an expected return of -0.0054%. Please make sure to validate Swatch Group jensen alpha, treynor ratio, value at risk, as well as the relationship between the total risk alpha and maximum drawdown , to decide if Swatch Group performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.08 |
Virtually no predictability
The Swatch Group has virtually no predictability. Overlapping area represents the amount of predictability between Swatch Group time series from 25th of March 2024 to 9th of April 2024 and 9th of April 2024 to 24th 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 Swatch Group price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Swatch Group price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.08 | |
| Spearman Rank Test | -0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.07 |
Swatch Group lagged returns against current returns
Autocorrelation, which is Swatch 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 Swatch Group's stock expected returns. We can calculate the autocorrelation of Swatch Group returns to help us make a trade decision. For example, suppose you find that Swatch 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 |
Swatch 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 Swatch Group stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Swatch Group stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Swatch Group stock over time.
Current vs Lagged Prices |
| Timeline |
Swatch Group Lagged Returns
When evaluating Swatch Group's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Swatch Group stock have on its future price. Swatch 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, Swatch Group autocorrelation shows the relationship between Swatch Group stock current value and its past values and can show if there is a momentum factor associated with investing in The Swatch Group.
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 Swatch Group Correlation, Swatch Group Volatility and Swatch Group Alpha and Beta module to complement your research on Swatch Group. You can also try the Options Analysis module to analyze and evaluate options and option chains as a potential hedge for your portfolios.
Complementary Tools for Swatch Stock analysis
When running Swatch Group's price analysis, check to measure Swatch 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 Swatch Group is operating at the current time. Most of Swatch Group's value examination focuses on studying past and present price action to predict the probability of Swatch 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 Swatch Group's price. Additionally, you may evaluate how the addition of Swatch Group to your portfolios can decrease your overall portfolio volatility.
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Swatch 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.