Hingham Institution Stock Forward View
| HIFS Stock | USD 328.58 12.49 3.95% |
Hingham Stock outlook is based on your current time horizon.
At this time the relative strength index (rsi) of Hingham Institution's share price is below 20 . This usually indicates that the stock 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 |
Quarterly Earnings Growth 1.951 | Quarterly Revenue Growth 1.02 |
Using Hingham Institution hype-based prediction, you can estimate the value of Hingham Institution for from the perspective of Hingham Institution response to recently generated media hype and the effects of current headlines on its competitors.
The Naive Prediction forecasted value of Hingham Institution for on the next trading day is expected to be 317.24 with a mean absolute deviation of 8.30 and the sum of the absolute errors of 514.56. Hingham Institution after-hype prediction price | USD 328.79 |
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 Hingham Institution to cross-verify your projections. Hingham Institution Additional Predictive Modules
Most predictive techniques to examine Hingham price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Hingham using various technical indicators. When you analyze Hingham 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 | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Forecasting cash, or other financial indicators, requires analysts to apply different statistical methods, techniques, and algorithms to find hidden patterns within the Hingham Institution's financial statements to predict how it will affect future prices.
Cash | First Reported 1991-12-31 | Previous Quarter 360.6 M | Current Value 360 M | Quarterly Volatility 130.8 M |
Hingham Institution Naive Prediction Price Forecast For the 6th of February
Given 90 days horizon, the Naive Prediction forecasted value of Hingham Institution for on the next trading day is expected to be 317.24 with a mean absolute deviation of 8.30, mean absolute percentage error of 101.17, and the sum of the absolute errors of 514.56.Please note that although there have been many attempts to predict Hingham Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Hingham Institution's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Hingham Institution Stock Forecast Pattern
| Backtest Hingham Institution | Hingham Institution Price Prediction | Research Analysis |
Hingham Institution Forecasted Value
In the context of forecasting Hingham Institution'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. Hingham Institution's downside and upside margins for the forecasting period are 313.93 and 320.55, respectively. We have considered Hingham Institution'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 Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Hingham Institution stock data series using in forecasting. Note that when a statistical model is used to represent Hingham Institution 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 | 124.5652 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 8.2993 |
| MAPE | Mean absolute percentage error | 0.0288 |
| SAE | Sum of the absolute errors | 514.555 |
Predictive Modules for Hingham Institution
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Hingham Institution for. 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.Hingham Institution After-Hype Price Density Analysis
As far as predicting the price of Hingham Institution 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 Hingham Institution 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 Hingham Institution, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Hingham Institution Estimiated After-Hype Price Volatility
In the context of predicting Hingham Institution's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Hingham Institution's historical news coverage. Hingham Institution's after-hype downside and upside margins for the prediction period are 325.48 and 332.10, respectively. We have considered Hingham Institution'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Hingham Institution is very steady at this time. Analysis and calculation of next after-hype price of Hingham Institution for is based on 3 months time horizon.
Hingham Institution Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Hingham Institution is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Hingham Institution 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 Hingham Institution, 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 |
0.28 | 3.31 | 0.21 | 0.22 | 8 Events / Month | 7 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
328.58 | 328.79 | 0.06 |
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Hingham Institution Hype Timeline
Hingham Institution for is currently traded for 328.58. The entity has historical hype elasticity of 0.21, and average elasticity to hype of competition of 0.22. Hingham is forecasted to increase in value after the next headline, with the price projected to jump to 328.79 or above. The average volatility of media hype impact on the company the price is over 100%. The price appreciation on the next news is projected to be 0.06%, whereas the daily expected return is currently at 0.28%. The volatility of related hype on Hingham Institution is about 413.23%, with the expected price after the next announcement by competition of 328.80. The company reported the previous year's revenue of 236.76 M. Net Income was 28.19 M with profit before overhead, payroll, taxes, and interest of 90.53 M. Given the investment horizon of 90 days the next forecasted press release will be in about 8 days. Check out Historical Fundamental Analysis of Hingham Institution to cross-verify your projections.Hingham Institution Related Hype Analysis
Having access to credible news sources related to Hingham Institution's direct competition is more important than ever and may enhance your ability to predict Hingham Institution's future price movements. Getting to know how Hingham Institution'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 Hingham Institution may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HTBK | Heritage Commerce Corp | 0.28 | 9 per month | 1.05 | 0.21 | 2.85 | (2.06) | 9.72 | |
| NBBK | NB Bancorp Common | (0.33) | 5 per month | 0.96 | 0.18 | 2.93 | (1.83) | 6.22 | |
| THFF | First Financial | (0.47) | 8 per month | 1.10 | 0.17 | 3.55 | (1.60) | 10.39 | |
| CAC | Camden National | 1.34 | 7 per month | 1.25 | 0.20 | 3.78 | (2.43) | 10.30 | |
| GSBC | Great Southern Bancorp | 3.57 | 10 per month | 1.66 | 0.09 | 2.88 | (2.01) | 14.35 | |
| MPB | Mid Penn Bancorp | 0.31 | 10 per month | 1.25 | 0.14 | 3.32 | (1.82) | 10.40 | |
| IBCP | Independent Bank | 0.55 | 8 per month | 1.00 | 0.14 | 2.80 | (2.34) | 7.82 | |
| MCBS | MetroCity Bankshares | 0.02 | 7 per month | 1.28 | 0.11 | 3.87 | (2.40) | 9.79 | |
| ORRF | Orrstown Financial Services | (0.31) | 9 per month | 1.19 | 0.13 | 2.77 | (2.35) | 8.73 | |
| BOH | Bank of Hawaii | 3.05 | 5 per month | 1.14 | 0.13 | 2.56 | (1.52) | 8.71 |
Other Forecasting Options for Hingham Institution
For every potential investor in Hingham, whether a beginner or expert, Hingham Institution's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Hingham Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Hingham. Basic forecasting techniques help filter out the noise by identifying Hingham Institution's price trends.Hingham Institution 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 Hingham Institution stock to make a market-neutral strategy. Peer analysis of Hingham Institution could also be used in its relative valuation, which is a method of valuing Hingham Institution by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Hingham Institution Market Strength Events
Market strength indicators help investors to evaluate how Hingham Institution stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Hingham Institution shares will generate the highest return on investment. By undertsting and applying Hingham Institution stock market strength indicators, traders can identify Hingham Institution for entry and exit signals to maximize returns.
| Accumulation Distribution | 5783.74 | |||
| Daily Balance Of Power | 0.6438 | |||
| Rate Of Daily Change | 1.04 | |||
| Day Median Price | 323.05 | |||
| Day Typical Price | 324.89 | |||
| Market Facilitation Index | 2.0E-4 | |||
| Price Action Indicator | 11.77 | |||
| Period Momentum Indicator | 12.49 |
Hingham Institution Risk Indicators
The analysis of Hingham Institution'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 Hingham Institution's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hingham 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 | 2.4 | |||
| Semi Deviation | 3.2 | |||
| Standard Deviation | 3.26 | |||
| Variance | 10.62 | |||
| Downside Variance | 12.04 | |||
| Semi Variance | 10.25 | |||
| Expected Short fall | (2.36) |
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 Hingham Institution
The number of cover stories for Hingham Institution depends on current market conditions and Hingham Institution's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Hingham Institution 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 Hingham Institution'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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Additional Tools for Hingham Stock Analysis
When running Hingham Institution's price analysis, check to measure Hingham Institution'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 Hingham Institution is operating at the current time. Most of Hingham Institution's value examination focuses on studying past and present price action to predict the probability of Hingham Institution's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hingham Institution's price. Additionally, you may evaluate how the addition of Hingham Institution to your portfolios can decrease your overall portfolio volatility.