Factors Affecting Gold Price Prediction and the Use of Deep Learning Techniques for Gold Price Prediction

dc.contributor.authorLaor Boongasame
dc.date.accessioned2026-05-08T19:21:42Z
dc.date.issued2022-11-11
dc.description.abstract“Gold” is a term that refers to a collection of precious metals. Gold's bright, shiny yellow color is its defining characteristic. Due to the availability of sophisticated computational techniques such as generalized auto-regressive conditional heteroskedasticity (GARCH), it is possible to perform a more accurate analysis of gold price expression data using deep learning. In this chapter, techniques for predicting the gold price using deep learning are presented. Also talked about were problems that have come up in the field and possible directions for future work.
dc.identifier.doi10.4018/978-1-6684-5849-5.ch016
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/18180
dc.publisherAdvances in finance, accounting, and economics book series
dc.subjectStock Market Forecasting Methods
dc.subjectMarket Dynamics and Volatility
dc.subjectCurrency Recognition and Detection
dc.titleFactors Affecting Gold Price Prediction and the Use of Deep Learning Techniques for Gold Price Prediction
dc.typeBook-chapter

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