Credit Suisse X Links Etf Market Value
| SLVO Etf | USD 77.65 1.15 1.50% |
| 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.
| 06/08/2023 |
| 11/29/2024 |
If you would invest 0.00 in Credit Suisse on June 8, 2023 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 540 days. Credit Suisse is related to or competes with Credit Suisse, Credit Suisse, Global X, RiverNorthDoubleLine, and Cornerstone Strategic. The investment seeks a return linked to the performance of the Credit Suisse NASDAQ Silver FLOWSTM 106 Index 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 | 1.22 | |||
| Information Ratio | (0.05) | |||
| Maximum Drawdown | 6.71 | |||
| Value At Risk | (1.64) | |||
| Potential Upside | 1.93 |
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 | 0.0459 | |||
| Jensen Alpha | 0.0711 | |||
| Total Risk Alpha | (0.12) | |||
| Sortino Ratio | (0.05) | |||
| Treynor Ratio | (0.38) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Credit Suisse'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.
Credit Suisse X Backtested Returns
As of now, Credit Etf is very steady. Credit Suisse X secures Sharpe Ratio (or Efficiency) of 0.1, which signifies that the etf had a 0.1% return per unit of standard deviation over the last 3 months. We have found thirty technical indicators for Credit Suisse X Links, which you can use to evaluate the volatility of the entity. Please confirm Credit Suisse's mean deviation of 0.8609, and Risk Adjusted Performance of 0.0459 to double-check if the risk estimate we provide is consistent with the expected return of 0.12%. The etf shows a Beta (market volatility) of -0.14, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Credit Suisse are expected to decrease at a much lower rate. During the bear market, Credit Suisse is likely to outperform the market.
Auto-correlation | 0.06 |
Virtually no predictability
Credit Suisse X Links has virtually no predictability. Overlapping area represents the amount of predictability between Credit Suisse time series from 8th of June 2023 to 4th of March 2024 and 4th of March 2024 to 29th 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 0.06 indicates that barely 6.0% of current Credit Suisse price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.06 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 25.08 |
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 |
Pair Trading with Credit Suisse
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Credit Suisse position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Credit Suisse will appreciate offsetting losses from the drop in the long position's value.Moving together with Credit Etf
| 0.96 | GLD | SPDR Gold Shares | PairCorr |
| 0.96 | IAU | iShares Gold Trust | PairCorr |
| 0.94 | SLV | iShares Silver Trust | PairCorr |
| 0.96 | GLDM | SPDR Gold MiniShares | PairCorr |
| 0.96 | SGOL | abrdn Physical Gold | PairCorr |
Moving against Credit Etf
| 0.39 | AMPD | Tidal Trust II Downward Rally | PairCorr |
The ability to find closely correlated positions to Credit Suisse could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Credit Suisse when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Credit Suisse - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Credit Suisse X Links to buy it.
The correlation of Credit Suisse is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Credit Suisse moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Credit Suisse X moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Credit Suisse can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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.