FactSet Research Stock Forward View - Simple Exponential Smoothing
| FDS Stock | USD 252.79 17.07 6.33% |
FactSet Stock outlook is based on your current time horizon.
At this time, the value of RSI of FactSet Research's share price is approaching 36. This usually indicates that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling FactSet Research, making its price go up or down. Momentum 36
Sell Extended
Oversold | Overbought |
Using FactSet Research hype-based prediction, you can estimate the value of FactSet Research Systems from the perspective of FactSet Research response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of FactSet Research Systems on the next trading day is expected to be 257.41 with a mean absolute deviation of 3.99 and the sum of the absolute errors of 239.51. FactSet Research after-hype prediction price | USD 252.79 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Check out Historical Fundamental Analysis of FactSet Research to cross-verify your projections. FactSet Research Additional Predictive Modules
Most predictive techniques to examine FactSet price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for FactSet using various technical indicators. When you analyze FactSet 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
FactSet Research Simple Exponential Smoothing Price Forecast For the 30th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of FactSet Research Systems on the next trading day is expected to be 257.41 with a mean absolute deviation of 3.99, mean absolute percentage error of 36.05, and the sum of the absolute errors of 239.51.Please note that although there have been many attempts to predict FactSet Stock 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 FactSet Research's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
FactSet Research Stock Forecast Pattern
| Backtest FactSet Research | FactSet Research Price Prediction | Buy or Sell Advice |
FactSet Research Forecasted Value
In the context of forecasting FactSet Research's Stock 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. FactSet Research's downside and upside margins for the forecasting period are 255.20 and 259.63, respectively. We have considered FactSet Research'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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of FactSet Research stock data series using in forecasting. Note that when a statistical model is used to represent FactSet Research stock, 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 | 119.8576 |
| Bias | Arithmetic mean of the errors | 0.187 |
| MAD | Mean absolute deviation | 3.9919 |
| MAPE | Mean absolute percentage error | 0.0145 |
| SAE | Sum of the absolute errors | 239.5119 |
Predictive Modules for FactSet Research
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as FactSet Research Systems. Regardless of method or technology, however, to accurately forecast the stock 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, anticipate that the market will even out over time. This tendency of FactSet Research'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.
FactSet Research After-Hype Price Density Analysis
As far as predicting the price of FactSet Research 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 FactSet Research 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 Stock prices, such as prices of FactSet Research, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
FactSet Research Estimiated After-Hype Price Volatility
In the context of predicting FactSet Research's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on FactSet Research's historical news coverage. FactSet Research's after-hype downside and upside margins for the prediction period are 250.57 and 255.01, respectively. We have considered FactSet Research'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
FactSet Research is very steady at this time. Analysis and calculation of next after-hype price of FactSet Research Systems is based on 3 months time horizon.
FactSet Research Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as FactSet Research is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading FactSet Research 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 Stock 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 FactSet Research, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.06 | 2.22 | 0.09 | 0.02 | 6 Events / Month | 6 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
252.79 | 252.79 | 0.00 |
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FactSet Research Hype Timeline
On the 29th of January FactSet Research Systems is traded for 252.79. The entity has historical hype elasticity of -0.09, and average elasticity to hype of competition of 0.02. FactSet is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 151.02%. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at -0.06%. %. The volatility of related hype on FactSet Research is about 874.02%, with the expected price after the next announcement by competition of 252.81. About 100.0% of the company shares are owned by institutional investors. The book value of FactSet Research was currently reported as 58.21. The company has Price/Earnings To Growth (PEG) ratio of 1.56. FactSet Research Systems recorded earning per share (EPS) of 15.72. The entity last dividend was issued on the 28th of November 2025. The firm had 3:2 split on the 7th of February 2005. Considering the 90-day investment horizon the next forecasted press release will be in about 6 days. Check out Historical Fundamental Analysis of FactSet Research to cross-verify your projections.FactSet Research Related Hype Analysis
Having access to credible news sources related to FactSet Research's direct competition is more important than ever and may enhance your ability to predict FactSet Research's future price movements. Getting to know how FactSet Research'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 FactSet Research may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MORN | Morningstar | 0.00 | 0 per month | 0.00 | (0.1) | 1.94 | (2.32) | 6.90 | |
| SEIC | SEI Investments | (1.47) | 11 per month | 1.08 | 0.05 | 2.10 | (1.49) | 7.41 | |
| JEF | Jefferies Financial Group | (0.07) | 6 per month | 2.27 | 0.04 | 2.85 | (4.66) | 11.46 | |
| CMA | Comerica Incorporated | 1.53 | 15 per month | 0.97 | 0.15 | 2.60 | (1.66) | 9.13 | |
| XP | Xp Inc | 0.58 | 31 per month | 2.88 | 0.07 | 4.64 | (4.83) | 15.10 | |
| IVZ | Invesco Plc | 0.94 | 9 per month | 1.97 | 0.12 | 4.04 | (2.87) | 9.73 | |
| ORI | Old Republic International | 1.53 | 25 per month | 2.09 | 0.02 | 2.06 | (1.95) | 12.07 | |
| AIZ | Assurant | (0.07) | 24 per month | 0.81 | 0.12 | 2.07 | (1.70) | 5.46 | |
| GGAL | Grupo Financiero Galicia | 1.53 | 7 per month | 1.81 | 0.14 | 7.30 | (3.58) | 43.45 | |
| AFG | American Financial Group | (1.96) | 6 per month | 0.00 | (0.05) | 1.79 | (1.70) | 6.99 |
Other Forecasting Options for FactSet Research
For every potential investor in FactSet, whether a beginner or expert, FactSet Research's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. FactSet Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in FactSet. Basic forecasting techniques help filter out the noise by identifying FactSet Research's price trends.FactSet Research 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 FactSet Research stock to make a market-neutral strategy. Peer analysis of FactSet Research could also be used in its relative valuation, which is a method of valuing FactSet Research by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
FactSet Research Market Strength Events
Market strength indicators help investors to evaluate how FactSet Research stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading FactSet Research shares will generate the highest return on investment. By undertsting and applying FactSet Research stock market strength indicators, traders can identify FactSet Research Systems entry and exit signals to maximize returns.
| Accumulation Distribution | 104362.0 | |||
| Daily Balance Of Power | (0.76) | |||
| Rate Of Daily Change | 0.94 | |||
| Day Median Price | 260.98 | |||
| Day Typical Price | 258.25 | |||
| Price Action Indicator | (16.72) | |||
| Period Momentum Indicator | (17.07) | |||
| Relative Strength Index | 36.63 |
FactSet Research Risk Indicators
The analysis of FactSet Research'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 FactSet Research's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting factset stock 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.
| Mean Deviation | 1.43 | |||
| Standard Deviation | 2.22 | |||
| Variance | 4.91 |
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 FactSet Research
The number of cover stories for FactSet Research depends on current market conditions and FactSet Research's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that FactSet Research 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 FactSet Research'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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FactSet Research Short Properties
FactSet Research's future price predictability will typically decrease when FactSet Research's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of FactSet Research Systems often depends not only on the future outlook of the potential FactSet Research's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. FactSet Research's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 38.4 M | |
| Cash And Short Term Investments | 355.1 M |
Additional Tools for FactSet Stock Analysis
When running FactSet Research's price analysis, check to measure FactSet Research'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 FactSet Research is operating at the current time. Most of FactSet Research's value examination focuses on studying past and present price action to predict the probability of FactSet Research's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move FactSet Research's price. Additionally, you may evaluate how the addition of FactSet Research to your portfolios can decrease your overall portfolio volatility.