Swiss Re Ag Stock Market Value
| SSREF Stock | USD 147.90 1.14 0.76% |
| Symbol | Swiss |
Swiss Re '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 Swiss Re's pink sheet 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 Swiss Re.
| 11/18/2024 |
| 12/18/2024 |
If you would invest 0.00 in Swiss Re on November 18, 2024 and sell it all today you would earn a total of 0.00 from holding Swiss Re AG or generate 0.0% return on investment in Swiss Re over 30 days. Swiss Re is related to or competes with Swiss Re, Hannover, SCOR PK, SiriusPoint, Maiden Holdings, Greenlight Capital, and RenaissanceRe Holdings. Swiss Re AG, together with its subsidiaries, provides wholesale reinsurance, insurance, other insurance-based forms of r... More
Swiss Re 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 Swiss Re's pink sheet 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 Swiss Re AG upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.59 | |||
| Information Ratio | 0.0558 | |||
| Maximum Drawdown | 9.13 | |||
| Value At Risk | (0.76) | |||
| Potential Upside | 2.51 |
Swiss Re Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Swiss Re's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Swiss Re's standard deviation. In reality, there are many statistical measures that can use Swiss Re historical prices to predict the future Swiss Re's volatility.| Risk Adjusted Performance | 0.0792 | |||
| Jensen Alpha | 0.1208 | |||
| Total Risk Alpha | 0.0231 | |||
| Sortino Ratio | 0.0313 | |||
| Treynor Ratio | 0.4491 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Swiss Re'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.
Swiss Re AG Backtested Returns
At this point, Swiss Re is very steady. Swiss Re AG 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 Swiss Re AG, which you can use to evaluate the volatility of the company. Please validate Swiss Re's Semi Deviation of 0.7432, risk adjusted performance of 0.0792, and Coefficient Of Variation of 976.21 to confirm if the risk estimate we provide is consistent with the expected return of 0.15%. Swiss Re has a performance score of 8 on a scale of 0 to 100. The entity has a beta of 0.31, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Swiss Re's returns are expected to increase less than the market. However, during the bear market, the loss of holding Swiss Re is expected to be smaller as well. Swiss Re AG right now has a risk of 1.48%. Please validate Swiss Re sortino ratio, skewness, price action indicator, as well as the relationship between the potential upside and rate of daily change , to decide if Swiss Re will be following its existing price patterns.
Auto-correlation | 0.18 |
Very weak predictability
Swiss Re AG has very weak predictability. Overlapping area represents the amount of predictability between Swiss Re time series from 18th of November 2024 to 3rd of December 2024 and 3rd of December 2024 to 18th of December 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 Swiss Re AG price movement. The serial correlation of 0.18 indicates that over 18.0% of current Swiss Re price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.18 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 2.49 |
Swiss Re AG lagged returns against current returns
Autocorrelation, which is Swiss Re pink sheet'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 Swiss Re's pink sheet expected returns. We can calculate the autocorrelation of Swiss Re returns to help us make a trade decision. For example, suppose you find that Swiss Re has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Swiss Re 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 Swiss Re pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Swiss Re pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Swiss Re pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Swiss Re Lagged Returns
When evaluating Swiss Re's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Swiss Re pink sheet have on its future price. Swiss Re 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, Swiss Re autocorrelation shows the relationship between Swiss Re pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Swiss Re AG.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Swiss Pink Sheet
Swiss Re financial ratios help investors to determine whether Swiss Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Swiss with respect to the benefits of owning Swiss Re security.