Empire State Stock Forecast - 20 Period Moving Average
| OGCP Stock | USD 9.25 0.05 0.54% |
The 20 Period Moving Average forecasted value of Empire State Realty on the next trading day is expected to be 9.41 with a mean absolute deviation of 0.26 and the sum of the absolute errors of 10.58. Empire Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Empire State stock prices and determine the direction of Empire State Realty's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Empire State's historical fundamentals, such as revenue growth or operating cash flow patterns. Although Empire State's naive historical forecasting may sometimes provide an important future outlook for the firm, we recommend always cross-verifying it against solid analysis of Empire State's systematic risk associated with finding meaningful patterns of Empire State fundamentals over time.
Check out Historical Fundamental Analysis of Empire State to cross-verify your projections. Empire |
Most investors in Empire State cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Empire State's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Empire State's price structures and extracts relationships that further increase the generated results' accuracy.
A commonly used 20-period moving average forecast model for Empire State Realty is based on a synthetically constructed Empire Statedaily price series in which the value for a trading day is replaced by the mean of that value and the values for 20 of preceding and succeeding time periods. This model is best suited for price series data that changes over time. Empire State 20 Period Moving Average Price Forecast For the 27th of May
Given 90 days horizon, the 20 Period Moving Average forecasted value of Empire State Realty on the next trading day is expected to be 9.41 with a mean absolute deviation of 0.26, mean absolute percentage error of 0.12, and the sum of the absolute errors of 10.58.Please note that although there have been many attempts to predict Empire 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 Empire State's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Empire State Stock Forecast Pattern
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Empire State Forecasted Value
In the context of forecasting Empire State'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. Empire State's downside and upside margins for the forecasting period are 6.26 and 12.56, respectively. We have considered Empire State'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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Empire State stock data series using in forecasting. Note that when a statistical model is used to represent Empire State 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 | 79.2414 |
| Bias | Arithmetic mean of the errors | 0.0978 |
| MAD | Mean absolute deviation | 0.258 |
| MAPE | Mean absolute percentage error | 0.028 |
| SAE | Sum of the absolute errors | 10.576 |
Predictive Modules for Empire State
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Empire State 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 Empire State'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.
Other Forecasting Options for Empire State
For every potential investor in Empire, whether a beginner or expert, Empire State's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Empire Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Empire. Basic forecasting techniques help filter out the noise by identifying Empire State's price trends.Empire State 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 Empire State stock to make a market-neutral strategy. Peer analysis of Empire State could also be used in its relative valuation, which is a method of valuing Empire State by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Empire State 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 Empire State'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 Empire State's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Empire State Market Strength Events
Market strength indicators help investors to evaluate how Empire State stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Empire State shares will generate the highest return on investment. By undertsting and applying Empire State stock market strength indicators, traders can identify Empire State Realty entry and exit signals to maximize returns.
| Daily Balance Of Power | 9.2 T | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 9.25 | |||
| Day Typical Price | 9.25 | |||
| Price Action Indicator | 0.025 | |||
| Period Momentum Indicator | 0.05 | |||
| Relative Strength Index | 50.0 |
Empire State Risk Indicators
The analysis of Empire State'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 Empire State's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting empire 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 | 1.78 | |||
| Semi Deviation | 2.9 | |||
| Standard Deviation | 3.14 | |||
| Variance | 9.89 | |||
| Downside Variance | 27.87 | |||
| Semi Variance | 8.4 | |||
| Expected Short fall | (2.69) |
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.
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Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Empire State to cross-verify your projections. Note that the Empire State Realty information on this page should be used as a complementary analysis to other Empire State's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.
Complementary Tools for Empire Stock analysis
When running Empire State's price analysis, check to measure Empire State'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 Empire State is operating at the current time. Most of Empire State's value examination focuses on studying past and present price action to predict the probability of Empire State's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Empire State's price. Additionally, you may evaluate how the addition of Empire State to your portfolios can decrease your overall portfolio volatility.
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Is Empire State's industry 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 Empire State. If investors know Empire 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 Empire State 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 (0.25) | Dividend Share 0.105 | Earnings Share 0.29 | Revenue Per Share 2.867 | Quarterly Revenue Growth 0.101 |
The market value of Empire State Realty is measured differently than its book value, which is the value of Empire that is recorded on the company's balance sheet. Investors also form their own opinion of Empire State's value that differs from its market value or its book value, called intrinsic value, which is Empire State'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 Empire State's market value can be influenced by many factors that don't directly affect Empire State'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 Empire State's value and its price as these two are different measures arrived at by different means. Investors typically determine if Empire State is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Empire State'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.