Credit Suisse X Links Etf Market Value
| USOI Etf | USD 65.29 0.77 1.19% |
| Symbol | Credit |
The market value of Credit Suisse X is measured differently than its book value, which is the value of Credit that is recorded on the company's balance sheet. Investors also form their own opinion of Credit Suisse's value that differs from its market value or its book value, called intrinsic value, which is Credit Suisse's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Credit Suisse's market value can be influenced by many factors that don't directly affect Credit Suisse's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Credit Suisse's value and its price as these two are different measures arrived at by different means. Investors typically determine if Credit Suisse is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Credit Suisse's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Credit Suisse '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 Suisse's etf 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 Suisse.
| 10/23/2024 |
| 11/22/2024 |
If you would invest 0.00 in Credit Suisse on October 23, 2024 and sell it all today you would earn a total of 0.00 from holding Credit Suisse X Links or generate 0.0% return on investment in Credit Suisse over 30 days. Credit Suisse is related to or competes with Morningstar Unconstrained, High-yield Municipal, Thrivent High, Via Renewables, T Rowe, Jpmorgan Smartretirement*, and 70082LAB3. The investment seeks a return linked to the performance of the price return version of the Credit Suisse Nasdaq WTI Crud... More
Credit Suisse 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 Suisse's etf 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 X Links upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.68 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 6.69 | |||
| Value At Risk | (2.80) | |||
| Potential Upside | 2.28 |
Credit Suisse Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Credit Suisse's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Credit Suisse's standard deviation. In reality, there are many statistical measures that can use Credit Suisse historical prices to predict the future Credit Suisse's volatility.| Risk Adjusted Performance | 0.0153 | |||
| Jensen Alpha | (0) | |||
| Total Risk Alpha | (0.19) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | 0.0727 |
Credit Suisse X Backtested Returns
Credit Suisse X secures Sharpe Ratio (or Efficiency) of -0.0228, which signifies that the etf had a -0.0228% return per unit of standard deviation over the last 3 months. Credit Suisse X Links exposes twenty-eight different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Credit Suisse's mean deviation of 1.22, and Risk Adjusted Performance of 0.0153 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 0.15, which signifies not very significant fluctuations relative to the market. As returns on the market increase, Credit Suisse's returns are expected to increase less than the market. However, during the bear market, the loss of holding Credit Suisse is expected to be smaller as well.
Auto-correlation | 0.56 |
Modest predictability
Credit Suisse X Links has modest predictability. Overlapping area represents the amount of predictability between Credit Suisse time series from 23rd of October 2024 to 7th of November 2024 and 7th of November 2024 to 22nd 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 Credit Suisse X price movement. The serial correlation of 0.56 indicates that roughly 56.0% of current Credit Suisse price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.56 | |
| Spearman Rank Test | 0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.88 |
Credit Suisse X lagged returns against current returns
Autocorrelation, which is Credit Suisse etf'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 Suisse's etf expected returns. We can calculate the autocorrelation of Credit Suisse returns to help us make a trade decision. For example, suppose you find that Credit Suisse has exhibited high autocorrelation historically, and you observe that the etf 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 Suisse 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 Suisse etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Credit Suisse etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Credit Suisse etf over time.
Current vs Lagged Prices |
| Timeline |
Credit Suisse Lagged Returns
When evaluating Credit Suisse's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Credit Suisse etf have on its future price. Credit Suisse 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 Suisse autocorrelation shows the relationship between Credit Suisse etf current value and its past values and can show if there is a momentum factor associated with investing in Credit Suisse X Links.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Credit Suisse X offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Credit Suisse's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Credit Suisse X Links Etf. Outlined below are crucial reports that will aid in making a well-informed decision on Credit Suisse X Links Etf:Check out Credit Suisse Correlation, Credit Suisse Volatility and Credit Suisse Alpha and Beta module to complement your research on Credit Suisse. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
Credit Suisse technical etf analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, etf market cycles, or different charting patterns.