Yorktown Small-cap Mutual Fund Forecast - Simple Regression
| YOVLX Fund | USD 16.98 0.07 0.41% |
The Simple Regression forecasted value of Yorktown Small Cap Fund on the next trading day is expected to be 16.43 with a mean absolute deviation of 0.36 and the sum of the absolute errors of 22.08. Yorktown Mutual Fund Forecast is based on your current time horizon.
At this time, The relative strength index (RSI) of Yorktown Small-cap's share price is at 56. This entails that the mutual fund is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Yorktown Small-cap, making its price go up or down. Momentum 56
Buy Extended
Oversold | Overbought |
Using Yorktown Small-cap hype-based prediction, you can estimate the value of Yorktown Small Cap Fund from the perspective of Yorktown Small-cap response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Regression forecasted value of Yorktown Small Cap Fund on the next trading day is expected to be 16.43 with a mean absolute deviation of 0.36 and the sum of the absolute errors of 22.08. Yorktown Small-cap after-hype prediction price | USD 0.0 |
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.
Yorktown |
Yorktown Small-cap Additional Predictive Modules
Most predictive techniques to examine Yorktown price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Yorktown using various technical indicators. When you analyze Yorktown 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 |
Yorktown Small-cap Simple Regression Price Forecast For the 23rd of January
Given 90 days horizon, the Simple Regression forecasted value of Yorktown Small Cap Fund on the next trading day is expected to be 16.43 with a mean absolute deviation of 0.36, mean absolute percentage error of 0.21, and the sum of the absolute errors of 22.08.Please note that although there have been many attempts to predict Yorktown 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 Yorktown Small-cap's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Yorktown Small-cap Mutual Fund Forecast Pattern
| Backtest Yorktown Small-cap | Yorktown Small-cap Price Prediction | Buy or Sell Advice |
Yorktown Small-cap Forecasted Value
In the context of forecasting Yorktown Small-cap'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. Yorktown Small-cap's downside and upside margins for the forecasting period are 15.22 and 17.64, respectively. We have considered Yorktown Small-cap'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 Yorktown Small-cap mutual fund data series using in forecasting. Note that when a statistical model is used to represent Yorktown Small-cap 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 | 116.5696 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.362 |
| MAPE | Mean absolute percentage error | 0.0224 |
| SAE | Sum of the absolute errors | 22.0802 |
Predictive Modules for Yorktown Small-cap
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Yorktown Small Cap. 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.Yorktown Small-cap After-Hype Price Prediction Density Analysis
As far as predicting the price of Yorktown Small-cap 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 Yorktown Small-cap 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 Yorktown Small-cap, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Yorktown Small-cap Estimiated After-Hype Price Volatility
In the context of predicting Yorktown Small-cap's mutual fund value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Yorktown Small-cap's historical news coverage. Yorktown Small-cap's after-hype downside and upside margins for the prediction period are 0.00 and 1.21, respectively. We have considered Yorktown Small-cap'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
Yorktown Small-cap is slightly risky at this time. Analysis and calculation of next after-hype price of Yorktown Small Cap is based on 3 months time horizon.
Yorktown Small-cap Mutual Fund Price Prediction Analysis
Have you ever been surprised when a price of a Mutual Fund such as Yorktown Small-cap is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Yorktown Small-cap 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 Yorktown Small-cap, 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 |
0.01 | 1.21 | 0.05 | 0.13 | 2 Events / Month | 1 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
16.98 | 0.00 | 0.00 |
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Yorktown Small-cap Hype Timeline
Yorktown Small Cap is at this time traded for 16.98. The entity has historical hype elasticity of 0.05, and average elasticity to hype of competition of -0.13. Yorktown is expected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 23.09%. The immediate return on the next news is expected to be very small, whereas the daily expected return is at this time at 0.01%. %. The volatility of related hype on Yorktown Small-cap is about 9.59%, with the expected price after the next announcement by competition of 16.85. The company last dividend was issued on the 6th of December 2019. Assuming the 90 days horizon the next expected press release will be in a few days. Check out Historical Fundamental Analysis of Yorktown Small-cap to cross-verify your projections.Yorktown Small-cap Related Hype Analysis
Having access to credible news sources related to Yorktown Small-cap's direct competition is more important than ever and may enhance your ability to predict Yorktown Small-cap's future price movements. Getting to know how Yorktown Small-cap'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 Yorktown Small-cap may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| PJHRX | Prudential Health Sciences | 0.00 | 0 per month | 0.11 | 0.14 | 2.08 | (1.16) | 21.80 | |
| BHSRX | Blackrock Health Sciences | 0.00 | 0 per month | 0.29 | 0.14 | 1.82 | (1.00) | 4.84 | |
| GTHCX | Invesco Global Health | (7.61) | 4 per month | 0.20 | 0.1 | 1.66 | (1.25) | 16.06 | |
| AHSCX | Alger Health Sciences | (4.97) | 7 per month | 0.64 | 0.12 | 2.05 | (1.32) | 5.46 | |
| LHCCX | Lord Abbett Health | (0.39) | 1 per month | 0.66 | 0.03 | 1.89 | (1.14) | 4.51 | |
| LOGSX | Live Oak Health | (0.07) | 2 per month | 0.44 | 0.1 | 1.42 | (1.09) | 3.71 | |
| ETCHX | Eventide Healthcare Life | (28.97) | 4 per month | 0.82 | 0.16 | 3.25 | (1.60) | 6.86 | |
| PGHAX | Putnam Global Health | (58.89) | 3 per month | 0.47 | 0.05 | 1.80 | (1.12) | 3.94 |
Other Forecasting Options for Yorktown Small-cap
For every potential investor in Yorktown, whether a beginner or expert, Yorktown Small-cap's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Yorktown Mutual Fund price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Yorktown. Basic forecasting techniques help filter out the noise by identifying Yorktown Small-cap's price trends.Yorktown Small-cap 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 Yorktown Small-cap mutual fund to make a market-neutral strategy. Peer analysis of Yorktown Small-cap could also be used in its relative valuation, which is a method of valuing Yorktown Small-cap by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Yorktown Small-cap Market Strength Events
Market strength indicators help investors to evaluate how Yorktown Small-cap 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 Yorktown Small-cap shares will generate the highest return on investment. By undertsting and applying Yorktown Small-cap mutual fund market strength indicators, traders can identify Yorktown Small Cap Fund entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 16.98 | |||
| Day Typical Price | 16.98 | |||
| Price Action Indicator | 0.035 | |||
| Period Momentum Indicator | 0.07 | |||
| Relative Strength Index | 56.12 |
Yorktown Small-cap Risk Indicators
The analysis of Yorktown Small-cap'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 Yorktown Small-cap's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting yorktown 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 | 0.9534 | |||
| Semi Deviation | 1.32 | |||
| Standard Deviation | 1.21 | |||
| Variance | 1.47 | |||
| Downside Variance | 1.88 | |||
| Semi Variance | 1.74 | |||
| Expected Short fall | (0.92) |
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 Yorktown Small-cap
The number of cover stories for Yorktown Small-cap depends on current market conditions and Yorktown Small-cap's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Yorktown Small-cap 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 Yorktown Small-cap'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 Yorktown Mutual Fund
Yorktown Small-cap financial ratios help investors to determine whether Yorktown 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 Yorktown with respect to the benefits of owning Yorktown Small-cap security.
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