Sika AG (Switzerland) Market Value
| SIKA Stock | 228.60 2.60 1.12% |
| Symbol | Sika |
Sika AG '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 Sika AG'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 Sika AG.
| 10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in Sika AG on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding Sika AG or generate 0.0% return on investment in Sika AG over 30 days. Sika AG is related to or competes with Geberit AG, Lonza Group, SGS SA, and Swiss Life. More
Sika AG 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 Sika AG'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 Sika AG upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.27) | |||
| Maximum Drawdown | 7.06 | |||
| Value At Risk | (2.45) | |||
| Potential Upside | 2.06 |
Sika AG Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Sika AG's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Sika AG's standard deviation. In reality, there are many statistical measures that can use Sika AG historical prices to predict the future Sika AG's volatility.| Risk Adjusted Performance | (0.12) | |||
| Jensen Alpha | (0.28) | |||
| Total Risk Alpha | (0.42) | |||
| Treynor Ratio | (0.40) |
Sika AG Backtested Returns
Sika AG owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.2, which indicates the firm had a -0.2% return per unit of risk over the last 3 months. Sika AG exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Sika AG's Coefficient Of Variation of (605.33), variance of 1.61, and Risk Adjusted Performance of (0.12) to confirm the risk estimate we provide. The entity has a beta of 0.55, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Sika AG's returns are expected to increase less than the market. However, during the bear market, the loss of holding Sika AG is expected to be smaller as well. At this point, Sika AG has a negative expected return of -0.26%. Please make sure to validate Sika AG's total risk alpha, maximum drawdown, skewness, as well as the relationship between the treynor ratio and potential upside , to decide if Sika AG performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.48 |
Average predictability
Sika AG has average predictability. Overlapping area represents the amount of predictability between Sika AG time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 Sika AG price movement. The serial correlation of 0.48 indicates that about 48.0% of current Sika AG price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.48 | |
| Spearman Rank Test | 0.34 | |
| Residual Average | 0.0 | |
| Price Variance | 12.21 |
Sika AG lagged returns against current returns
Autocorrelation, which is Sika AG 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 Sika AG's stock expected returns. We can calculate the autocorrelation of Sika AG returns to help us make a trade decision. For example, suppose you find that Sika AG 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 |
Sika AG 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 Sika AG stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Sika AG stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Sika AG stock over time.
Current vs Lagged Prices |
| Timeline |
Sika AG Lagged Returns
When evaluating Sika AG's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Sika AG stock have on its future price. Sika AG 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, Sika AG autocorrelation shows the relationship between Sika AG stock current value and its past values and can show if there is a momentum factor associated with investing in Sika AG.
Regressed Prices |
| Timeline |
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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.Additional Tools for Sika Stock Analysis
When running Sika AG's price analysis, check to measure Sika AG'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 Sika AG is operating at the current time. Most of Sika AG's value examination focuses on studying past and present price action to predict the probability of Sika AG's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sika AG's price. Additionally, you may evaluate how the addition of Sika AG to your portfolios can decrease your overall portfolio volatility.