Credit Suisse Mutual Fund Forecast - Naive Prediction

CHICX -  USA Fund  

USD 6.68  0.01  0.15%

Credit Mutual Fund Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Credit Suisse historical stock prices and determine the direction of Credit Suisse High's future trends based on various well-known forecasting models. However, solely looking at the historical price movement is usually misleading. Macroaxis recommends to always use this module together with analysis of Credit Suisse historical fundamentals such as revenue growth or operating cash flow patterns.
Continue to Historical Fundamental Analysis of Credit Suisse to cross-verify your projections.

Credit Mutual Fund Forecast 

 
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Most investors in Credit Suisse cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Credit Suisse's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Credit Suisse's price structures and extracts relationships that further increase the generated results' accuracy.
A naive forecasting model for Credit Suisse is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Credit Suisse High value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Credit Suisse Naive Prediction Price Forecast For the 21st of October

Given 90 days horizon, the Naive Prediction forecasted value of Credit Suisse High on the next trading day is expected to be 6.68 with a mean absolute deviation of 0.006353, mean absolute percentage error of 0.00005365, and the sum of the absolute errors of 0.39. 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

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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 6.58 and 6.78, 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
6.68
20th of October 2021
6.68
Expected Value
6.78
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction 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 Criteria108.2775
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0064
MAPEMean absolute percentage error0.001
SAESum of the absolute errors0.3876
This model is not at all useful as a medium-long range forecasting tool of Credit Suisse High. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Credit Suisse. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

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 High. Regardless of method or technology, however, to accurately forecast the stock or bond market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.
Sophisticated investors, who have witnessed many market ups and downs, frequently view 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. Please use the tools below to analyze the current value of Credit Suisse in the context of predictive analytics.
Hype
Prediction
LowEstimated ValueHigh
6.596.686.77
Details
Intrinsic
Valuation
LowReal ValueHigh
6.586.676.76
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
6.676.686.69
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 towards taking a position in Credit Suisse High.

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.

View Currently 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.

Credit Suisse High Technical and Predictive Analytics

The stock 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 Risk Indicators

The analysis of Credit Suisse's basic risk indicators is one of the essential steps in helping accuretelly forecast 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 funamental techniques of forecasting Credit Suisse stock price, 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 stock investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Credit Suisse Investors Sentiment

The influence of Credit Suisse's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in Credit. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock markets does not have a solid backing from leading economists and market statisticians.

Current Sentiment - CHICX

Credit Suisse High Investor Sentiment

Macroaxis portfolio users are unresponsive in their opinion about investing in Credit Suisse High. What is your opinion about investing in Credit Suisse High? Are you bullish or bearish?
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Bearish
50% Bullish
50% Bearish
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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.

Credit Suisse Pair Correlation

Equities Pair Trading Analysis

Correlation analysis and pair trading evaluation for Credit Suisse and Fidelity Advisor Floating. Pair trading can be used as a hedging technique within a particular sector or industry or even over random equities to generate better risk-adjusted return
Run Pair Correlation  
Continue to Historical Fundamental Analysis of Credit Suisse to cross-verify your projections. Note that the Credit Suisse High information on this page should be used as a complementary analysis to other Credit Suisse's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.

Complementary Tools for Credit Mutual Fund analysis

When running Credit Suisse High price analysis, check to measure Credit Suisse's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Credit Suisse is operating at the current time. Most of Credit Suisse's value examination focuses on studying past and present price action to predict the probability of Credit Suisse's future price movements. You can analyze the entity against its peers and financial market as a whole to determine factors that move Credit Suisse's price. Additionally, you may evaluate how the addition of Credit Suisse to your portfolios can decrease your overall portfolio volatility.
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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 Credit Suisse value 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.