Schweizerische Nationalbank (Switzerland) Market Value
| SNBN Stock | CHF 3,570 40.00 1.13% |
| Symbol | Schweizerische |
Schweizerische Nationalbank '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 Schweizerische Nationalbank'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 Schweizerische Nationalbank.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in Schweizerische Nationalbank on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding Schweizerische Nationalbank or generate 0.0% return on investment in Schweizerische Nationalbank over 90 days. Schweizerische Nationalbank is related to or competes with Swissquote Group, Banque Cantonale, Barry Callebaut, Vontobel Holding, and Chocoladefabriken. Schweizerische Nationalbank, an independent central bank, provides banking services to the Swiss Confederation More
Schweizerische Nationalbank 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 Schweizerische Nationalbank'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 Schweizerische Nationalbank upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.27 | |||
| Information Ratio | 0.1128 | |||
| Maximum Drawdown | 7.91 | |||
| Value At Risk | (2.13) | |||
| Potential Upside | 2.85 |
Schweizerische Nationalbank Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Schweizerische Nationalbank's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Schweizerische Nationalbank's standard deviation. In reality, there are many statistical measures that can use Schweizerische Nationalbank historical prices to predict the future Schweizerische Nationalbank's volatility.| Risk Adjusted Performance | 0.0455 | |||
| Jensen Alpha | 0.0838 | |||
| Total Risk Alpha | 0.2515 | |||
| Sortino Ratio | 0.1341 | |||
| Treynor Ratio | 0.3061 |
Schweizerische Nationalbank Backtested Returns
At this stage we consider Schweizerische Stock to be very steady. Schweizerische Nationalbank owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.1, which indicates the firm had a 0.1 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Schweizerische Nationalbank, which you can use to evaluate the volatility of the company. Please validate Schweizerische Nationalbank's Semi Deviation of 1.11, coefficient of variation of 2109.87, and Risk Adjusted Performance of 0.0455 to confirm if the risk estimate we provide is consistent with the expected return of 0.15%. Schweizerische Nationalbank has a performance score of 7 on a scale of 0 to 100. The entity has a beta of 0.2, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Schweizerische Nationalbank's returns are expected to increase less than the market. However, during the bear market, the loss of holding Schweizerische Nationalbank is expected to be smaller as well. Schweizerische Nationalbank right now has a risk of 1.52%. Please validate Schweizerische Nationalbank jensen alpha, sortino ratio, and the relationship between the standard deviation and total risk alpha , to decide if Schweizerische Nationalbank will be following its existing price patterns.
Auto-correlation | 0.08 |
Virtually no predictability
Schweizerische Nationalbank has virtually no predictability. Overlapping area represents the amount of predictability between Schweizerische Nationalbank time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 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 Schweizerische Nationalbank price movement. The serial correlation of 0.08 indicates that barely 8.0% of current Schweizerische Nationalbank price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.08 | |
| Spearman Rank Test | 0.05 | |
| Residual Average | 0.0 | |
| Price Variance | 1162.41 |
Schweizerische Nationalbank lagged returns against current returns
Autocorrelation, which is Schweizerische Nationalbank 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 Schweizerische Nationalbank's stock expected returns. We can calculate the autocorrelation of Schweizerische Nationalbank returns to help us make a trade decision. For example, suppose you find that Schweizerische Nationalbank 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 |
Schweizerische Nationalbank 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 Schweizerische Nationalbank stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Schweizerische Nationalbank stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Schweizerische Nationalbank stock over time.
Current vs Lagged Prices |
| Timeline |
Schweizerische Nationalbank Lagged Returns
When evaluating Schweizerische Nationalbank's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Schweizerische Nationalbank stock have on its future price. Schweizerische Nationalbank 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, Schweizerische Nationalbank autocorrelation shows the relationship between Schweizerische Nationalbank stock current value and its past values and can show if there is a momentum factor associated with investing in Schweizerische Nationalbank.
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.Additional Tools for Schweizerische Stock Analysis
When running Schweizerische Nationalbank's price analysis, check to measure Schweizerische Nationalbank'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 Schweizerische Nationalbank is operating at the current time. Most of Schweizerische Nationalbank's value examination focuses on studying past and present price action to predict the probability of Schweizerische Nationalbank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Schweizerische Nationalbank's price. Additionally, you may evaluate how the addition of Schweizerische Nationalbank to your portfolios can decrease your overall portfolio volatility.