Credit Suisse Mutual Fund Forecast - 20 Period Moving Average

CRSAX Fund  USD 21.94  0.18  0.83%   
The 20 Period Moving Average forecasted value of Credit Suisse Modity on the next trading day is expected to be 21.56 with a mean absolute deviation of 0.20 and the sum of the absolute errors of 8.34. Credit Mutual Fund Forecast is based on your current time horizon.
  
A commonly used 20-period moving average forecast model for Credit Suisse Modity is based on a synthetically constructed Credit Suissedaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time.

Credit Suisse 20 Period Moving Average Price Forecast For the 14th of December 2024

Given 90 days horizon, the 20 Period Moving Average forecasted value of Credit Suisse Modity on the next trading day is expected to be 21.56 with a mean absolute deviation of 0.20, mean absolute percentage error of 0.06, and the sum of the absolute errors of 8.34.
Please note that although there have been many attempts to predict Credit Mutual Fund prices using its time series forecasting, we generally do not recommend 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).

Credit Suisse Mutual Fund Forecast Pattern

Backtest Credit SuisseCredit Suisse Price PredictionBuy or Sell Advice 

Credit Suisse Forecasted Value

In the context of forecasting Credit Suisse's Mutual Fund value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Credit Suisse's downside and upside margins for the forecasting period are 20.81 and 22.30, respectively. We have considered Credit Suisse's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
21.94
21.56
Expected Value
22.30
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the 20 Period Moving Average 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.
AICAkaike Information Criteria78.6187
BiasArithmetic mean of the errors 0.0891
MADMean absolute deviation0.2033
MAPEMean absolute percentage error0.0094
SAESum of the absolute errors8.335
The eieght-period moving average method has an advantage over other forecasting models in that it does smooth out peaks and valleys in a set of daily observations. Credit Suisse Modity 20-period moving average forecast can only be used reliably to predict one or two periods into the future.

Predictive Modules for Credit Suisse

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Credit Suisse Modity. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.
Hype
Prediction
LowEstimatedHigh
21.2021.9422.68
Details
Intrinsic
Valuation
LowRealHigh
21.1521.8922.63
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Credit Suisse. Your research has to be compared to or analyzed against Credit Suisse's peers to derive any actionable benefits. When done correctly, Credit Suisse's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Credit Suisse Modity.

Other Forecasting Options for Credit Suisse

For every potential investor in Credit, whether a beginner or expert, Credit Suisse's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Credit Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Credit. Basic forecasting techniques help filter out the noise by identifying Credit Suisse's price trends.

Credit Suisse Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Credit Suisse mutual fund to make a market-neutral strategy. Peer analysis of Credit Suisse could also be used in its relative valuation, which is a method of valuing Credit Suisse by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Credit Suisse Modity Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Credit Suisse's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Credit Suisse's current price.

Credit Suisse Market Strength Events

Market strength indicators help investors to evaluate how Credit Suisse mutual fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Credit Suisse shares will generate the highest return on investment. By undertsting and applying Credit Suisse mutual fund market strength indicators, traders can identify Credit Suisse Modity entry and exit signals to maximize returns.

Credit Suisse Risk Indicators

The analysis of Credit Suisse's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Credit Suisse's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting credit mutual fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
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.

Also Currently Popular

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 Mutual Fund

Credit Suisse financial ratios help investors to determine whether Credit Mutual Fund 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 Suisse security.
Companies Directory
Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals
Insider Screener
Find insiders across different sectors to evaluate their impact on performance
Economic Indicators
Top statistical indicators that provide insights into how an economy is performing
Portfolio Comparator
Compare the composition, asset allocations and performance of any two portfolios in your account