Nationwide Geneva Mutual Fund Forecast - Simple Regression
| NWKAX Fund | USD 14.10 0.05 0.36% |
The Simple Regression forecasted value of Nationwide Geneva Mid on the next trading day is expected to be 13.99 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 17.47. Nationwide Mutual Fund Forecast is based on your current time horizon.
At this time the relative strength index (rsi) of Nationwide Geneva's share price is below 20 . This indicates 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 |
Using Nationwide Geneva hype-based prediction, you can estimate the value of Nationwide Geneva Mid from the perspective of Nationwide Geneva response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Nationwide Geneva Mid on the next trading day is expected to be 13.99 with a mean absolute deviation of 0.28 and the sum of the absolute errors of 17.47. Nationwide Geneva after-hype prediction price | USD 15.57 |
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.
Nationwide |
Nationwide Geneva Additional Predictive Modules
Most predictive techniques to examine Nationwide price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Nationwide using various technical indicators. When you analyze Nationwide 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 |
Nationwide Geneva Simple Regression Price Forecast For the 24th of January
Given 90 days horizon, the Simple Regression forecasted value of Nationwide Geneva Mid on the next trading day is expected to be 13.99 with a mean absolute deviation of 0.28, mean absolute percentage error of 0.11, and the sum of the absolute errors of 17.47.Please note that although there have been many attempts to predict Nationwide 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 Nationwide Geneva's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Nationwide Geneva Mutual Fund Forecast Pattern
| Backtest Nationwide Geneva | Nationwide Geneva Price Prediction | Buy or Sell Advice |
Nationwide Geneva Forecasted Value
In the context of forecasting Nationwide Geneva'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. Nationwide Geneva's downside and upside margins for the forecasting period are 12.74 and 15.25, respectively. We have considered Nationwide Geneva'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 Regression forecasting method's relative quality and the estimations of the prediction error of Nationwide Geneva mutual fund data series using in forecasting. Note that when a statistical model is used to represent Nationwide Geneva 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 | 117.7468 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.2818 |
| MAPE | Mean absolute percentage error | 0.0215 |
| SAE | Sum of the absolute errors | 17.4723 |
Predictive Modules for Nationwide Geneva
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Nationwide Geneva Mid. 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.Nationwide Geneva After-Hype Price Prediction Density Analysis
As far as predicting the price of Nationwide Geneva 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 Nationwide Geneva 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 Nationwide Geneva, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Nationwide Geneva Estimiated After-Hype Price Volatility
In the context of predicting Nationwide Geneva's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Nationwide Geneva's historical news coverage. Nationwide Geneva's after-hype downside and upside margins for the prediction period are 12.69 and 16.82, respectively. We have considered Nationwide Geneva'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
Nationwide Geneva is very steady at this time. Analysis and calculation of next after-hype price of Nationwide Geneva Mid is based on 3 months time horizon.
Nationwide Geneva Mutual Fund Price Prediction Analysis
Have you ever been surprised when a price of a Mutual Fund such as Nationwide Geneva is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Nationwide Geneva 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 Nationwide Geneva, 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 |
0.11 | 1.25 | 1.47 | 0.11 | 4 Events / Month | 1 Events / Month | In about 4 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
14.10 | 15.57 | 10.43 |
|
Nationwide Geneva Hype Timeline
Nationwide Geneva Mid is now traded for 14.10. The entity has historical hype elasticity of 1.47, and average elasticity to hype of competition of -0.11. Nationwide is forecasted to increase in value after the next headline, with the price projected to jump to 15.57 or above. The average volatility of media hype impact on the company the price is about 9.35%. The price jump on the next news is projected to be 10.43%, whereas the daily expected return is now at 0.11%. The volatility of related hype on Nationwide Geneva is about 124.47%, with the expected price after the next announcement by competition of 13.99. Debt can assist Nationwide Geneva until it has trouble settling it off, either with new capital or with free cash flow. So, Nationwide Geneva's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Nationwide Geneva Mid sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Nationwide to invest in growth at high rates of return. When we think about Nationwide Geneva's use of debt, we should always consider it together with cash and equity.Assuming the 90 days horizon the next forecasted press release will be in about 4 days. Check out Historical Fundamental Analysis of Nationwide Geneva to cross-verify your projections.Nationwide Geneva Related Hype Analysis
Having access to credible news sources related to Nationwide Geneva's direct competition is more important than ever and may enhance your ability to predict Nationwide Geneva's future price movements. Getting to know how Nationwide Geneva'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 Nationwide Geneva may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CONIX | Columbia Global Technology | 0.00 | 0 per month | 0.85 | 0.03 | 1.59 | (1.62) | 6.68 | |
| JATAX | Janus Global Technology | (6.34) | 7 per month | 1.21 | 0.08 | 2.15 | (2.61) | 20.32 | |
| ICTEX | Icon Information Technology | 10.89 | 2 per month | 0.69 | 0.12 | 1.77 | (2.01) | 30.28 | |
| FIJYX | Fidelity Advisor Biotechnology | 1.00 | 1 per month | 1.39 | 0.04 | 2.80 | (2.43) | 7.19 | |
| BOGSX | Black Oak Emerging | (0.05) | 8 per month | 1.31 | 0.02 | 2.31 | (2.33) | 5.43 | |
| MTCCX | Mfs Technology Fund | (12.53) | 2 per month | 0.94 | 0.1 | 1.88 | (2.68) | 37.23 | |
| TOWTX | Towpath Technology | 0.00 | 0 per month | 0.81 | (0.02) | 1.61 | (1.37) | 4.54 |
Other Forecasting Options for Nationwide Geneva
For every potential investor in Nationwide, whether a beginner or expert, Nationwide Geneva's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Nationwide Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Nationwide. Basic forecasting techniques help filter out the noise by identifying Nationwide Geneva's price trends.Nationwide Geneva 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 Nationwide Geneva mutual fund to make a market-neutral strategy. Peer analysis of Nationwide Geneva could also be used in its relative valuation, which is a method of valuing Nationwide Geneva by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Nationwide Geneva Market Strength Events
Market strength indicators help investors to evaluate how Nationwide Geneva 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 Nationwide Geneva shares will generate the highest return on investment. By undertsting and applying Nationwide Geneva mutual fund market strength indicators, traders can identify Nationwide Geneva Mid entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 14.1 | |||
| Day Typical Price | 14.1 | |||
| Price Action Indicator | 0.025 | |||
| Period Momentum Indicator | 0.05 |
Nationwide Geneva Risk Indicators
The analysis of Nationwide Geneva'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 Nationwide Geneva's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting nationwide 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.
| Mean Deviation | 0.7442 | |||
| Semi Deviation | 0.6918 | |||
| Standard Deviation | 1.22 | |||
| Variance | 1.48 | |||
| Downside Variance | 0.7738 | |||
| Semi Variance | 0.4785 | |||
| Expected Short fall | (0.85) |
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 Nationwide Geneva
The number of cover stories for Nationwide Geneva depends on current market conditions and Nationwide Geneva's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Nationwide Geneva 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 Nationwide Geneva's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Other Information on Investing in Nationwide Mutual Fund
Nationwide Geneva financial ratios help investors to determine whether Nationwide 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 Nationwide with respect to the benefits of owning Nationwide Geneva security.
| Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
| Equity Valuation Check real value of public entities based on technical and fundamental data |