Swatch (Germany) Market Value
| UHRN Stock | 47.16 0.00 0.00% |
| Symbol | Swatch |
Swatch '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'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.
| 11/09/2024 |
| 01/08/2025 |
If you would invest 0.00 in Swatch on November 9, 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 over 60 days. Swatch is related to or competes with COLUMBIA SPORTSWEAR, Siamgas, Quaker Chemical, Nissan Chemical, Soken Chemical, X-FAB Silicon, and SILICON LABORATOR. More
Swatch 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'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.
Swatch Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Swatch's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Swatch's standard deviation. In reality, there are many statistical measures that can use Swatch historical prices to predict the future Swatch's volatility.Swatch Group Backtested Returns
We have found three technical indicators for The Swatch Group, which you can use to evaluate the volatility of the company. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and Swatch are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
The Swatch Group has perfect predictability. Overlapping area represents the amount of predictability between Swatch time series from 9th of November 2024 to 9th of December 2024 and 9th of December 2024 to 8th of January 2025. 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 1.0 indicates that 100.0% of current Swatch price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Swatch Group lagged returns against current returns
Autocorrelation, which is Swatch 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's stock expected returns. We can calculate the autocorrelation of Swatch returns to help us make a trade decision. For example, suppose you find that Swatch 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 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 stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Swatch stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Swatch stock over time.
Current vs Lagged Prices |
| Timeline |
Swatch Lagged Returns
When evaluating Swatch's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Swatch stock have on its future price. Swatch 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 autocorrelation shows the relationship between Swatch 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 |
Thematic Opportunities
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Additional Tools for Swatch Stock Analysis
When running Swatch's price analysis, check to measure Swatch'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 is operating at the current time. Most of Swatch's value examination focuses on studying past and present price action to predict the probability of Swatch'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's price. Additionally, you may evaluate how the addition of Swatch to your portfolios can decrease your overall portfolio volatility.