CREDIT SUISSE Mutual Fund Forward View - Simple Regression
| CSQCX Fund | USD 7.12 -0.11 -1.52% |
Credit Suisse Multialternative's Simple Regression reference page covers the model's projected value and error measures from recent price data. The forecast output and associated deviation metrics are shown for informational use. The model is fitted to available historical daily prices for CREDIT SUISSE. This page is updated as new daily closing prices become available for CREDIT SUISSE.
The Simple Regression forecasted value of Credit Suisse Multialternative on the next trading day is expected to be 7.58 with a mean absolute deviation of 0.18 and the sum of the absolute errors of 10.91.In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Credit Suisse Multialternative historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data. All Simple Regression forecast figures shown for Credit Suisse Multialternative are reference data reflecting model output based on available historical prices. Simple Regression Price Forecast For the 23rd of March
Given 90 days horizon, the Simple Regression forecasted value of Credit Suisse Multialternative on the next trading day is expected to be 7.58 with a mean absolute deviation of 0.18 , mean absolute percentage error of 0.05 , and the sum of the absolute errors of 10.91 .Please note that although there have been many attempts to predict CREDIT Mutual Fund prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that CREDIT SUISSE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Mutual Fund Forecast Pattern
| Backtest CREDIT SUISSE | CREDIT SUISSE Price Prediction | Research Analysis |
Forecasted Value
Forecasting Credit Suisse Multialternative for the next session involves measuring the model's historical ability to define credible downside and upside scenarios. The projected forecast band currently runs from roughly 6.78 on the downside to about 8.37 on the upside.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of CREDIT SUISSE mutual fund data series using in forecasting. Note that when a statistical model is used to represent CREDIT SUISSE mutual fund, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 115.0167 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1789 |
| MAPE | Mean absolute percentage error | 0.0233 |
| SAE | Sum of the absolute errors | 10.9102 |
Other Forecasting Options for CREDIT SUISSE
Bollinger Bands applied to CREDIT Mutual Fund price data measure how far CREDIT has deviated from its recent average relative to its own volatility. This distinction drives the choice of forecasting model applied to CREDIT SUISSE's price data. On-balance volume for CREDIT Mutual Fund creates a running indicator of buying versus selling pressure in CREDIT. Price departures from the channel boundary often mean-revert, offering tactical signals for CREDIT SUISSE's.CREDIT SUISSE Related Equities
The stocks listed below are peers of CREDIT SUISSE within the World Small/Mid Stock space and offer context for ranking and strength. Checking CREDIT SUISSE against peers on P/E, margins, and return on equity helps put its position in context. Finding which peers are closest to CREDIT SUISSE in business model helps sharpen the comparison. The framework below supports both relative pricing and competitive standing review.
| Risk & Return | Correlation |
CREDIT SUISSE Market Strength Events
For investors tracking Credit Suisse Multialternative, market strength indicators offer quantitative evaluation of mutual fund behavior. By using these indicators, traders can make more informed decisions about when to buy or sell Credit Suisse Multialternative. These indicators capture shifts in momentum that may precede significant price moves in CREDIT SUISSE. These metrics provide actionable context for both entry and risk management decisions around Credit Suisse Multialternative.
| Rate Of Daily Change | 0.98 | |||
| Day Median Price | 7.12 | |||
| Day Typical Price | 7.12 | |||
| Price Action Indicator | -0.06 | |||
| Period Momentum Indicator | -0.11 | |||
| Relative Strength Index | 28.15 |
CREDIT SUISSE Risk Indicators
Analyzing CREDIT SUISSE's basic risk indicators provides investors with a structured view of the risk-return trade-off for credit mutual fund. By identifying the level of risk embedded in CREDIT SUISSE's investment, investors can make informed decisions about position sizing. Analyzing CREDIT SUISSE's risk indicators gives investors important context for price forecasting. Understanding the risk in CREDIT SUISSE's investment allows investors to make informed choices about mitigating exposure.
| Mean Deviation | 0.5974 | |||
| Standard Deviation | 0.797 | |||
| Variance | 0.6353 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for CREDIT SUISSE
A coverage review of Credit Suisse Multialternative shows when the security is attracting above-average attention from contributors and market observers. The practical risk is that faster visibility can increase both interest and skepticism at the same time.
Other Macroaxis Stories
Macroaxis story coverage is designed for a broad investing audience that ranges from self-directed traders to advisers, researchers, and institutional market participants. The content is intended to support people who want a more structured path from headline information to portfolio action.