New England Stock Forecast - Naive Prediction

NEN Stock  USD 82.49  0.00  0.00%   
The Naive Prediction forecasted value of New England Realty on the next trading day is expected to be 87.41 with a mean absolute deviation of 3.08 and the sum of the absolute errors of 187.93. New Stock Forecast is based on your current time horizon. Although New England's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of New England's systematic risk associated with finding meaningful patterns of New England fundamentals over time.
  
As of the 25th of November 2024, Inventory Turnover is likely to grow to 1.36. Also, Payables Turnover is likely to grow to 7.32. As of the 25th of November 2024, Common Stock Shares Outstanding is likely to drop to about 3.4 M. In addition to that, Net Income Applicable To Common Shares is likely to drop to about 3.1 M.

New England Cash Forecast

Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the New England's financial statements to estimate their effects on upcoming price movements.
 
Cash  
First Reported
1995-06-30
Previous Quarter
13.5 M
Current Value
15.1 B
Quarterly Volatility
1.4 B
 
Dot-com Bubble
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
A naive forecasting model for New England is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of New England Realty 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.

New England Naive Prediction Price Forecast For the 26th of November

Given 90 days horizon, the Naive Prediction forecasted value of New England Realty on the next trading day is expected to be 87.41 with a mean absolute deviation of 3.08, mean absolute percentage error of 78.87, and the sum of the absolute errors of 187.93.
Please note that although there have been many attempts to predict New 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 New England's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

New England Stock Forecast Pattern

Backtest New EnglandNew England Price PredictionBuy or Sell Advice 

New England Forecasted Value

In the context of forecasting New England'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. New England's downside and upside margins for the forecasting period are 84.76 and 90.05, respectively. We have considered New England'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
82.49
87.41
Expected Value
90.05
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 New England stock data series using in forecasting. Note that when a statistical model is used to represent New England 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.
AICAkaike Information Criteria122.4783
BiasArithmetic mean of the errors None
MADMean absolute deviation3.0809
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors187.9331
This model is not at all useful as a medium-long range forecasting tool of New England Realty. 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 New England. 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 New England

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as New England Realty. 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 New England'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.
Hype
Prediction
LowEstimatedHigh
79.9182.5585.19
Details
Intrinsic
Valuation
LowRealHigh
49.4552.0990.74
Details
Bollinger
Band Projection (param)
LowMiddleHigh
76.5080.4484.38
Details

Other Forecasting Options for New England

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

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

New England Realty Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of New England's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of New England's current price.

New England Market Strength Events

Market strength indicators help investors to evaluate how New England stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading New England shares will generate the highest return on investment. By undertsting and applying New England stock market strength indicators, traders can identify New England Realty entry and exit signals to maximize returns.

New England Risk Indicators

The analysis of New England'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 New England's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting new 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.
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.

Pair Trading with New England

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if New England position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in New England will appreciate offsetting losses from the drop in the long position's value.

Moving against New Stock

  0.53OMH Ohmyhome Limited OrdinaryPairCorr
  0.53AHT-PH Ashford Hospitality TrustPairCorr
  0.49AHT-PD Ashford Hospitality TrustPairCorr
  0.48AHT-PI Ashford Hospitality TrustPairCorr
  0.48AHT-PG Ashford Hospitality TrustPairCorr
The ability to find closely correlated positions to New England could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace New England when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back New England - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling New England Realty to buy it.
The correlation of New England is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as New England moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if New England Realty moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for New England can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether New England Realty offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of New England's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of New England Realty Stock. Outlined below are crucial reports that will aid in making a well-informed decision on New England Realty Stock:
Check out Historical Fundamental Analysis of New England to cross-verify your projections.
You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Is Real Estate Management & Development space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of New England. If investors know New will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about New England listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.819
Dividend Share
0.4
Earnings Share
3.87
Revenue Per Share
22.809
Quarterly Revenue Growth
0.057
The market value of New England Realty is measured differently than its book value, which is the value of New that is recorded on the company's balance sheet. Investors also form their own opinion of New England's value that differs from its market value or its book value, called intrinsic value, which is New England's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because New England's market value can be influenced by many factors that don't directly affect New England's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between New England's value and its price as these two are different measures arrived at by different means. Investors typically determine if New England is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, New England's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.