New England Realty Stock Market Value
| NEN Stock | USD 82.50 2.25 2.80% |
| Symbol | New |
New England Realty Price To Book Ratio
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 1.6 | Earnings Share 3.87 | Revenue Per Share | Quarterly Revenue Growth 0.065 |
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.
New England 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to New England's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of New England.
| 12/15/2024 |
| 03/15/2025 |
If you would invest 0.00 in New England on December 15, 2024 and sell it all today you would earn a total of 0.00 from holding New England Realty or generate 0.0% return on investment in New England over 90 days. New England is related to or competes with J W, Intergroup, Transcontinental, American Realty, and Gyrodyne Company. New England Realty Associates Limited Partnership engages in acquiring, developing, holding for investment, operating, a... More
New England Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure New England's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess New England Realty upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.04 | |||
| Information Ratio | 0.0559 | |||
| Maximum Drawdown | 12.59 | |||
| Value At Risk | (3.43) | |||
| Potential Upside | 4.39 |
New England Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for New England's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as New England's standard deviation. In reality, there are many statistical measures that can use New England historical prices to predict the future New England's volatility.| Risk Adjusted Performance | 0.0077 | |||
| Jensen Alpha | (0.1) | |||
| Total Risk Alpha | 0.403 | |||
| Sortino Ratio | 0.0666 | |||
| Treynor Ratio | 0.0103 |
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.
New England Realty Backtested Returns
As of now, New Stock is very steady. New England Realty has Sharpe Ratio of 0.046, which conveys that the firm had a 0.046 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for New England, which you can use to evaluate the volatility of the firm. Please verify New England's Mean Deviation of 1.49, downside deviation of 2.04, and Risk Adjusted Performance of 0.0077 to check out if the risk estimate we provide is consistent with the expected return of 0.12%. New England has a performance score of 3 on a scale of 0 to 100. The company secures a Beta (Market Risk) of -0.63, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning New England are expected to decrease at a much lower rate. During the bear market, New England is likely to outperform the market. New England Realty right now secures a risk of 2.61%. Please verify New England Realty downside variance, as well as the relationship between the accumulation distribution and market facilitation index , to decide if New England Realty will be following its current price movements.
Auto-correlation | -0.35 |
Poor reverse predictability
New England Realty has poor reverse predictability. Overlapping area represents the amount of predictability between New England time series from 15th of December 2024 to 29th of January 2025 and 29th of January 2025 to 15th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of New England Realty price movement. The serial correlation of -0.35 indicates that nearly 35.0% of current New England price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.35 | |
| Spearman Rank Test | -0.49 | |
| Residual Average | 0.0 | |
| Price Variance | 2.28 |
New England Realty lagged returns against current returns
Autocorrelation, which is New England stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting New England's stock expected returns. We can calculate the autocorrelation of New England returns to help us make a trade decision. For example, suppose you find that New England has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
New England regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If New England stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if New England stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in New England stock over time.
Current vs Lagged Prices |
| Timeline |
New England Lagged Returns
When evaluating New England's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of New England stock have on its future price. New England autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, New England autocorrelation shows the relationship between New England stock current value and its past values and can show if there is a momentum factor associated with investing in New England Realty.
Regressed Prices |
| Timeline |
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
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.Check out New England Correlation, New England Volatility and New England Alpha and Beta module to complement your research on New England. You can also try the Stocks Directory module to find actively traded stocks across global markets.
New England technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.