CREDIT SUISSE AG Market Value
| 22550L2C4 | 99.40 0.02 0.02% |
| Symbol | CREDIT |
CREDIT '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 CREDIT's bond 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 CREDIT.
| 06/10/2023 |
| 12/01/2024 |
If you would invest 0.00 in CREDIT on June 10, 2023 and sell it all today you would earn a total of 0.00 from holding CREDIT SUISSE AG or generate 0.0% return on investment in CREDIT over 540 days. CREDIT is related to or competes with Apogee Therapeutics,, Ardelyx, Beyond Meat, BioNTech, Marfrig Global, and Sellas Life. More
CREDIT 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 CREDIT's bond 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 CREDIT SUISSE AG upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.0811 | |||
| Information Ratio | (1.51) | |||
| Maximum Drawdown | 0.3846 | |||
| Value At Risk | (0.12) | |||
| Potential Upside | 0.1515 |
CREDIT Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for CREDIT's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CREDIT's standard deviation. In reality, there are many statistical measures that can use CREDIT historical prices to predict the future CREDIT's volatility.| Risk Adjusted Performance | 0.0426 | |||
| Jensen Alpha | 0.005 | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (1.53) | |||
| Treynor Ratio | (0.31) |
CREDIT SUISSE AG Backtested Returns
At this point, CREDIT is very steady. CREDIT SUISSE AG secures Sharpe Ratio (or Efficiency) of 0.15, which signifies that the bond had a 0.15% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for CREDIT SUISSE AG, which you can use to evaluate the volatility of the entity. Please confirm CREDIT's Mean Deviation of 0.0639, risk adjusted performance of 0.0426, and Coefficient Of Variation of 608.41 to double-check if the risk estimate we provide is consistent with the expected return of 0.0108%. The bond shows a Beta (market volatility) of -0.0114, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning CREDIT are expected to decrease at a much lower rate. During the bear market, CREDIT is likely to outperform the market.
Auto-correlation | 0.21 |
Weak predictability
CREDIT SUISSE AG has weak predictability. Overlapping area represents the amount of predictability between CREDIT time series from 10th of June 2023 to 6th of March 2024 and 6th of March 2024 to 1st 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 CREDIT SUISSE AG price movement. The serial correlation of 0.21 indicates that over 21.0% of current CREDIT price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.91 | |
| Residual Average | 0.0 | |
| Price Variance | 0.45 |
CREDIT SUISSE AG lagged returns against current returns
Autocorrelation, which is CREDIT bond'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 CREDIT's bond expected returns. We can calculate the autocorrelation of CREDIT returns to help us make a trade decision. For example, suppose you find that CREDIT has exhibited high autocorrelation historically, and you observe that the bond 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 |
CREDIT 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 CREDIT bond is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CREDIT bond is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CREDIT bond over time.
Current vs Lagged Prices |
| Timeline |
CREDIT Lagged Returns
When evaluating CREDIT's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CREDIT bond have on its future price. CREDIT 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, CREDIT autocorrelation shows the relationship between CREDIT bond current value and its past values and can show if there is a momentum factor associated with investing in CREDIT SUISSE 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.Other Information on Investing in CREDIT Bond
CREDIT financial ratios help investors to determine whether CREDIT Bond 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 CREDIT with respect to the benefits of owning CREDIT security.