Cathay Nikkei Etf Forecast - Polynomial Regression
| 00657K Etf | USD 14.26 0.20 1.38% |
The Polynomial Regression forecasted value of Cathay Nikkei 225 on the next trading day is expected to be 14.50 with a mean absolute deviation of 0.14 and the sum of the absolute errors of 8.39. Cathay Etf Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Cathay Nikkei stock prices and determine the direction of Cathay Nikkei 225's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Cathay Nikkei's historical fundamentals, such as revenue growth or operating cash flow patterns.
Cathay |
Cathay Nikkei Polynomial Regression Price Forecast For the 15th of December 2024
Given 90 days horizon, the Polynomial Regression forecasted value of Cathay Nikkei 225 on the next trading day is expected to be 14.50 with a mean absolute deviation of 0.14, mean absolute percentage error of 0.03, and the sum of the absolute errors of 8.39.Please note that although there have been many attempts to predict Cathay Etf 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 Cathay Nikkei's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Cathay Nikkei Etf Forecast Pattern
| Backtest Cathay Nikkei | Cathay Nikkei Price Prediction | Buy or Sell Advice |
Cathay Nikkei Forecasted Value
In the context of forecasting Cathay Nikkei's Etf 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. Cathay Nikkei's downside and upside margins for the forecasting period are 13.29 and 15.72, respectively. We have considered Cathay Nikkei'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Cathay Nikkei etf data series using in forecasting. Note that when a statistical model is used to represent Cathay Nikkei etf, 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 | 116.3947 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.1354 |
| MAPE | Mean absolute percentage error | 0.0095 |
| SAE | Sum of the absolute errors | 8.3944 |
Predictive Modules for Cathay Nikkei
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Cathay Nikkei 225. Regardless of method or technology, however, to accurately forecast the etf market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the etf 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 Cathay Nikkei
For every potential investor in Cathay, whether a beginner or expert, Cathay Nikkei's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Cathay Etf price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Cathay. Basic forecasting techniques help filter out the noise by identifying Cathay Nikkei's price trends.Cathay Nikkei 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 Cathay Nikkei etf to make a market-neutral strategy. Peer analysis of Cathay Nikkei could also be used in its relative valuation, which is a method of valuing Cathay Nikkei by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Cathay Nikkei 225 Technical and Predictive Analytics
The etf market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Cathay Nikkei'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 Cathay Nikkei's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Cathay Nikkei Market Strength Events
Market strength indicators help investors to evaluate how Cathay Nikkei etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Cathay Nikkei shares will generate the highest return on investment. By undertsting and applying Cathay Nikkei etf market strength indicators, traders can identify Cathay Nikkei 225 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 | 14.26 | |||
| Day Typical Price | 14.26 | |||
| Price Action Indicator | (0.10) | |||
| Period Momentum Indicator | (0.20) |
Cathay Nikkei Risk Indicators
The analysis of Cathay Nikkei'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 Cathay Nikkei's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cathay etf 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 | 0.9636 | |||
| Semi Deviation | 0.9791 | |||
| Standard Deviation | 1.24 | |||
| Variance | 1.54 | |||
| Downside Variance | 1.46 | |||
| Semi Variance | 0.9586 | |||
| Expected Short fall | (1.08) |
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.
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Cathay Etf
Cathay Nikkei financial ratios help investors to determine whether Cathay Etf 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 Cathay with respect to the benefits of owning Cathay Nikkei security.