HSBC MSCI Etf Forecast - Naive Prediction

Summary

H4ZT Etf

66.46 1.88 2.91%

The Naive Prediction forecasted value of HSBC MSCI Indonesia on the next trading day is expected to be 64.26 with a mean absolute deviation of 0.96 and the sum of the absolute errors of 59.54. Investors can use prediction functions to forecast HSBC MSCI's etf prices and determine the direction of HSBC MSCI Indonesia's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.

A naive forecasting model for HSBC MSCI is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of HSBC MSCI Indonesia value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

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HSBC MSCI Naive Prediction Price Forecast For the 4th of January

Given 90 days horizon, the Naive Prediction forecasted value of HSBC MSCI Indonesia on the next trading day is expected to be 64.26 with a mean absolute deviation of 0.96, mean absolute percentage error of 1.36, and the sum of the absolute errors of 59.54.

Please note that although there have been many attempts to predict HSBC 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 HSBC MSCI's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

HSBC MSCI Etf Forecast Pattern

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of HSBC MSCI etf data series using in forecasting. Note that when a statistical model is used to represent HSBC MSCI 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	120.2524
Bias	Arithmetic mean of the errors	None
MAD	Mean absolute deviation	0.9604
MAPE	Mean absolute percentage error	0.0139
SAE	Sum of the absolute errors	59.5428

This model is not at all useful as a medium-long range forecasting tool of HSBC MSCI Indonesia. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict HSBC MSCI. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for HSBC MSCI

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as HSBC MSCI Indonesia. 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.

HSBC MSCI 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 HSBC MSCI etf to make a market-neutral strategy. Peer analysis of HSBC MSCI could also be used in its relative valuation, which is a method of valuing HSBC MSCI by comparing valuation metrics with similar companies.

HSBC ETFs Public HSBC MSCI WORLD HSBC SP 500 HSBC MSCI World HSBC MSCI Indonesia HSBC MSCI Emerging HSBC MSCI World HSBC MSCI EUROPE HSBC Asia Pacific American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup SentinelOne

Risk & Return

Correlation

HSBC MSCI Market Strength Events

Market strength indicators help investors to evaluate how HSBC MSCI etf reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading HSBC MSCI shares will generate the highest return on investment. By undertsting and applying HSBC MSCI etf market strength indicators, traders can identify HSBC MSCI Indonesia entry and exit signals to maximize returns.

	Accumulation Distribution	3.08
	Daily Balance Of Power	2.441558
	Rate Of Daily Change	1.03
	Day Median Price	66.15
	Day Typical Price	66.25
	Market Facilitation Index	0.0029
	Price Action Indicator	1.25
	Period Momentum Indicator	1.88
	Relative Strength Index	28.83

HSBC MSCI Risk Indicators

The analysis of HSBC MSCI'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 HSBC MSCI's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting hsbc 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	0.9022
	Standard Deviation	1.2
	Variance	1.43

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.

S	SentinelOne
CRM	Salesforce
MSFT	Microsoft

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