Boston Properties Stock Forecast - Simple Exponential Smoothing
| BXP Stock | USD 67.05 0.92 1.39% |
The Simple Exponential Smoothing forecasted value of Boston Properties on the next trading day is expected to be 67.05 with a mean absolute deviation of 0.77 and the sum of the absolute errors of 46.40. Boston Stock Forecast is based on your current time horizon.
As of today, the value of RSI of Boston Properties' share price is approaching 44 suggesting that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Boston Properties, making its price go up or down. Momentum 44
Sell Extended
Oversold | Overbought |
Using Boston Properties hype-based prediction, you can estimate the value of Boston Properties from the perspective of Boston Properties response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Boston Properties on the next trading day is expected to be 67.05 with a mean absolute deviation of 0.77 and the sum of the absolute errors of 46.40. Boston Properties after-hype prediction price | USD 67.05 |
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 Boston Properties to cross-verify your projections. Boston Properties Additional Predictive Modules
Most predictive techniques to examine Boston price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Boston using various technical indicators. When you analyze Boston 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 |
Boston Properties Simple Exponential Smoothing Price Forecast For the 9th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Boston Properties on the next trading day is expected to be 67.05 with a mean absolute deviation of 0.77, mean absolute percentage error of 0.96, and the sum of the absolute errors of 46.40.Please note that although there have been many attempts to predict Boston 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 Boston Properties' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Boston Properties Stock Forecast Pattern
| Backtest Boston Properties | Boston Properties Price Prediction | Buy or Sell Advice |
Boston Properties Forecasted Value
In the context of forecasting Boston Properties' 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. Boston Properties' downside and upside margins for the forecasting period are 65.66 and 68.44, respectively. We have considered Boston Properties' 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 Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Boston Properties stock data series using in forecasting. Note that when a statistical model is used to represent Boston Properties 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 | 116.236 |
| Bias | Arithmetic mean of the errors | 0.039 |
| MAD | Mean absolute deviation | 0.7733 |
| MAPE | Mean absolute percentage error | 0.0111 |
| SAE | Sum of the absolute errors | 46.4 |
Predictive Modules for Boston Properties
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Boston Properties. 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 Boston Properties' 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.
Other Forecasting Options for Boston Properties
For every potential investor in Boston, whether a beginner or expert, Boston Properties' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Boston Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Boston. Basic forecasting techniques help filter out the noise by identifying Boston Properties' price trends.Boston Properties 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 Boston Properties stock to make a market-neutral strategy. Peer analysis of Boston Properties could also be used in its relative valuation, which is a method of valuing Boston Properties by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Boston Properties 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 Boston Properties' 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 Boston Properties' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Boston Properties Market Strength Events
Market strength indicators help investors to evaluate how Boston Properties stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Boston Properties shares will generate the highest return on investment. By undertsting and applying Boston Properties stock market strength indicators, traders can identify Boston Properties entry and exit signals to maximize returns.
Boston Properties Risk Indicators
The analysis of Boston Properties' 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 Boston Properties' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting boston 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 | 1.09 | |||
| Standard Deviation | 1.39 | |||
| Variance | 1.93 |
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 Boston Properties
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 Boston Properties 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 Boston Properties will appreciate offsetting losses from the drop in the long position's value.Moving against Boston Stock
| 0.41 | JPM | JPMorgan Chase Earnings Call This Week | PairCorr |
| 0.4 | AA | Alcoa Corp | PairCorr |
| 0.33 | MRK | Merck Company | PairCorr |
| 0.32 | VZ | Verizon Communications | PairCorr |
| 0.32 | TRV | The Travelers Companies | PairCorr |
The ability to find closely correlated positions to Boston Properties could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Boston Properties 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 Boston Properties - 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 Boston Properties to buy it.
The correlation of Boston Properties 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 Boston Properties moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Boston Properties 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 Boston Properties 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.Additional Tools for Boston Stock Analysis
When running Boston Properties' price analysis, check to measure Boston Properties' 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 Boston Properties is operating at the current time. Most of Boston Properties' value examination focuses on studying past and present price action to predict the probability of Boston Properties' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Boston Properties' price. Additionally, you may evaluate how the addition of Boston Properties to your portfolios can decrease your overall portfolio volatility.