Swire Properties Stock Forecast - 20 Period Moving Average
| SW9 Stock | EUR 1.83 0.01 0.54% |
The 20 Period Moving Average forecasted value of Swire Properties Limited on the next trading day is expected to be 1.87 with a mean absolute deviation of 0.07 and the sum of the absolute errors of 2.82. Swire Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Swire Properties' historical fundamentals, such as revenue growth or operating cash flow patterns.
Swire |
Swire Properties 20 Period Moving Average Price Forecast For the 28th of November
Given 90 days horizon, the 20 Period Moving Average forecasted value of Swire Properties Limited on the next trading day is expected to be 1.87 with a mean absolute deviation of 0.07, mean absolute percentage error of 0.01, and the sum of the absolute errors of 2.82.Please note that although there have been many attempts to predict Swire 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 Swire Properties' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Swire Properties Stock Forecast Pattern
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Swire Properties Forecasted Value
In the context of forecasting Swire 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. Swire Properties' downside and upside margins for the forecasting period are 0.02 and 5.90, respectively. We have considered Swire 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 20 Period Moving Average forecasting method's relative quality and the estimations of the prediction error of Swire Properties stock data series using in forecasting. Note that when a statistical model is used to represent Swire 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 | 78.7867 |
| Bias | Arithmetic mean of the errors | -0.0503 |
| MAD | Mean absolute deviation | 0.0672 |
| MAPE | Mean absolute percentage error | 0.0351 |
| SAE | Sum of the absolute errors | 2.8215 |
Predictive Modules for Swire 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 Swire 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.Other Forecasting Options for Swire Properties
For every potential investor in Swire, whether a beginner or expert, Swire Properties' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Swire Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Swire. Basic forecasting techniques help filter out the noise by identifying Swire Properties' price trends.Swire 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 Swire Properties stock to make a market-neutral strategy. Peer analysis of Swire Properties could also be used in its relative valuation, which is a method of valuing Swire Properties by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Swire 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 Swire 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 Swire Properties' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Swire Properties Market Strength Events
Market strength indicators help investors to evaluate how Swire 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 Swire Properties shares will generate the highest return on investment. By undertsting and applying Swire Properties stock market strength indicators, traders can identify Swire Properties Limited entry and exit signals to maximize returns.
| Daily Balance Of Power | (9,223,372,036,855) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 1.83 | |||
| Day Typical Price | 1.83 | |||
| Price Action Indicator | (0.01) | |||
| Period Momentum Indicator | (0.01) |
Swire Properties Risk Indicators
The analysis of Swire 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 Swire Properties' investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting swire 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 | 2.42 | |||
| Semi Deviation | 2.55 | |||
| Standard Deviation | 4.19 | |||
| Variance | 17.56 | |||
| Downside Variance | 12.89 | |||
| Semi Variance | 6.5 | |||
| Expected Short fall | (3.45) |
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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Other Information on Investing in Swire Stock
Swire Properties financial ratios help investors to determine whether Swire Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Swire with respect to the benefits of owning Swire Properties security.