Columbia Seligman Mutual Fund Forecast - Naive Prediction

SCIRX Fund  USD 150.61  0.79  0.52%   
The Naive Prediction forecasted value of Columbia Seligman Munications on the next trading day is expected to be 157.51 with a mean absolute deviation of 3.10 and the sum of the absolute errors of 189.07. Columbia Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Columbia Seligman's share price is below 20 . This usually implies that the mutual fund is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards.

Momentum 0

 Sell Peaked

 
Oversold
 
Overbought
The successful prediction of Columbia Seligman's future price could yield a significant profit. We analyze noise-free headlines and recent hype associated with Columbia Seligman Munications, which may create opportunities for some arbitrage if properly timed.
Using Columbia Seligman hype-based prediction, you can estimate the value of Columbia Seligman Munications from the perspective of Columbia Seligman response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Columbia Seligman Munications on the next trading day is expected to be 157.51 with a mean absolute deviation of 3.10 and the sum of the absolute errors of 189.07.

Columbia Seligman after-hype prediction price

    
  USD 151.43  
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as fund price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
  
Check out Historical Fundamental Analysis of Columbia Seligman to cross-verify your projections.

Columbia Seligman Additional Predictive Modules

Most predictive techniques to examine Columbia price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Columbia using various technical indicators. When you analyze Columbia charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
A naive forecasting model for Columbia Seligman is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Columbia Seligman Munications 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.

Columbia Seligman Naive Prediction Price Forecast For the 24th of January

Given 90 days horizon, the Naive Prediction forecasted value of Columbia Seligman Munications on the next trading day is expected to be 157.51 with a mean absolute deviation of 3.10, mean absolute percentage error of 17.70, and the sum of the absolute errors of 189.07.
Please note that although there have been many attempts to predict Columbia 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 Columbia Seligman's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Columbia Seligman Mutual Fund Forecast Pattern

Backtest Columbia SeligmanColumbia Seligman Price PredictionBuy or Sell Advice 

Columbia Seligman Forecasted Value

In the context of forecasting Columbia Seligman'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. Columbia Seligman's downside and upside margins for the forecasting period are 155.32 and 159.69, respectively. We have considered Columbia Seligman'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
150.61
155.32
Downside
157.51
Expected Value
159.69
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 Columbia Seligman mutual fund data series using in forecasting. Note that when a statistical model is used to represent Columbia Seligman 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 Criteria120.9841
BiasArithmetic mean of the errors None
MADMean absolute deviation3.0995
MAPEMean absolute percentage error0.0229
SAESum of the absolute errors189.0714
This model is not at all useful as a medium-long range forecasting tool of Columbia Seligman Munications. 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 Columbia Seligman. 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 Columbia Seligman

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Columbia Seligman. 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
149.23151.43153.63
Details
Intrinsic
Valuation
LowRealHigh
136.26162.76164.96
Details
Bollinger
Band Projection (param)
LowMiddleHigh
128.10142.24156.37
Details

Columbia Seligman After-Hype Price Prediction Density Analysis

As far as predicting the price of Columbia Seligman at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Columbia Seligman or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Mutual Fund prices, such as prices of Columbia Seligman, with the unreliable approximations that try to describe financial returns.
   Next price density   
       Expected price to next headline  

Columbia Seligman Estimiated After-Hype Price Volatility

In the context of predicting Columbia Seligman's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Columbia Seligman's historical news coverage. Columbia Seligman's after-hype downside and upside margins for the prediction period are 149.23 and 153.63, respectively. We have considered Columbia Seligman's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
150.61
149.23
Downside
151.43
After-hype Price
153.63
Upside
Columbia Seligman is very steady at this time. Analysis and calculation of next after-hype price of Columbia Seligman is based on 3 months time horizon.

Columbia Seligman Mutual Fund Price Prediction Analysis

Have you ever been surprised when a price of a Mutual Fund such as Columbia Seligman is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Columbia Seligman backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Fund price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Columbia Seligman, there might be something going there, and it might present an excellent short sale opportunity.
Expected ReturnPeriod VolatilityHype ElasticityRelated ElasticityNews DensityRelated DensityExpected Hype
  0.31 
2.19
 0.00  
  3.91 
0 Events / Month
0 Events / Month
Within a week
Latest traded priceExpected after-news pricePotential return on next major newsAverage after-hype volatility
150.61
151.43
0.02 
0.00  
Notes

Columbia Seligman Hype Timeline

Columbia Seligman is at this time traded for 150.61. The entity stock is not elastic to its hype. The average elasticity to hype of competition is -3.91. Columbia is projected to increase in value after the next headline, with the price projected to jump to 151.43 or above. The average volatility of media hype impact on the company the price is insignificant. The price jump on the next news is projected to be 0.02%, whereas the daily expected return is at this time at 0.31%. The volatility of related hype on Columbia Seligman is about 17.36%, with the expected price after the next announcement by competition of 146.70. Assuming the 90 days horizon the next projected press release will be within a week.
Check out Historical Fundamental Analysis of Columbia Seligman to cross-verify your projections.

Columbia Seligman Related Hype Analysis

Having access to credible news sources related to Columbia Seligman's direct competition is more important than ever and may enhance your ability to predict Columbia Seligman's future price movements. Getting to know how Columbia Seligman's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Columbia Seligman may potentially react to the hype associated with one of its peers.
Hype
Elasticity
News
Density
Semi
Deviation
Information
Ratio
Potential
Upside
Value
At Risk
Maximum
Drawdown
SLMCXColumbia Seligman Munications(126.16)2 per month 1.78  0.12  2.83 (3.43) 13.25 
CCIZXColumbia Seligman Munications 0.00 0 per month 1.85  0.03  2.53 (3.42) 7.61 
THISXT Rowe Price 0.00 0 per month 0.00  0.20  1.97 (1.08) 15.18 
SCMIXColumbia Seligman Munications 0.00 0 per month 1.78  0.09  2.83 (3.43) 11.55 
RRITXT Rowe Price 0.00 0 per month 0.56  0.09  1.26 (1.40) 8.86 
PRITXT Rowe Price 0.00 0 per month 0.56  0.09  1.29 (1.37) 8.70 
USSPXSp 500 Index 0.00 0 per month 0.75 (0.02) 1.11 (1.21) 4.18 
PGOYXPutnam Growth Opportunities 0.00 0 per month 0.00 (0.14) 1.46 (2.00) 5.04 
RRTBXTrowe Price Retirement 0.00 1 per month 0.10  0.03  0.66 (0.54) 4.51 
WFMIXWells Fargo Special 0.00 0 per month 0.59  0.04  1.78 (1.16) 3.10 

Other Forecasting Options for Columbia Seligman

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

Columbia Seligman 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 Columbia Seligman mutual fund to make a market-neutral strategy. Peer analysis of Columbia Seligman could also be used in its relative valuation, which is a method of valuing Columbia Seligman by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Columbia Seligman Market Strength Events

Market strength indicators help investors to evaluate how Columbia Seligman 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 Columbia Seligman shares will generate the highest return on investment. By undertsting and applying Columbia Seligman mutual fund market strength indicators, traders can identify Columbia Seligman Munications entry and exit signals to maximize returns.

Columbia Seligman Risk Indicators

The analysis of Columbia Seligman'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 Columbia Seligman's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting columbia 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.

Story Coverage note for Columbia Seligman

The number of cover stories for Columbia Seligman depends on current market conditions and Columbia Seligman's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Columbia Seligman is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Columbia Seligman's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.

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Other Information on Investing in Columbia Mutual Fund

Columbia Seligman financial ratios help investors to determine whether Columbia 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 Columbia with respect to the benefits of owning Columbia Seligman security.
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