0000000001063222

AUTHOR

Jos D. Bermdez

showing 1 related works from this author

Improving stock index forecasts by using a new weighted fuzzy-trend time series method

2017

Define a new technical indicator for measuring the trend of the fuzzy time series.Introduce a new weighted fuzzy-trend time series method to forecast stock indices.Compare ex-post performances of weighted FTS methods using stock market indices.Assess statistical significance of ex-post forecast accuracy for weighted FTS methods. We propose using new weighted operators in fuzzy time series to forecast the future performance of stock market indices. Based on the chronological sequence of weights associated with the original fuzzy logical relationships, we define both chronological-order and trend-order weights, and incorporate our proposals for the ex-post forecast into the classical modeling…

0209 industrial biotechnologyActuarial scienceComputer scienceGeneral Engineering02 engineering and technologyExpected valueFuzzy logicStock market indexComputer Science ApplicationsTrend analysis020901 industrial engineering & automationArtificial IntelligenceTechnical indicator0202 electrical engineering electronic engineering information engineeringEconometricsFuzzy number020201 artificial intelligence & image processingStock marketStock (geology)Expert Systems with Applications
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