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Predicting the oil prices: Do technical indicators help? · Study

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ArticlePredicting the oil prices: Do technical indicators help?

Libo Yin2016

OA

Articlegreen2016

Predicting the oil prices: Do technical indicators help?

Libo Yin · Qingyuan Yang

138 citations·0/0 files stored·Energy Economics

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Market Dynamics and Volatility Financial Markets and Investment Strategies Stock Market Forecasting Methods

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References

2009Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market 2007A Comprehensive Look at The Empirical Performance of Equity Premium Prediction 2007Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?2000What is an Oil Shock?2002Comparing Predictive Accuracy 2009A literature survey on energy–growth nexus 1999Predictive regressions 2013THE ROLE OF INVENTORIES AND SPECULATIVE TRADING IN THE GLOBAL MARKET FOR CRUDE OIL

Cited by

2017Can investor attention predict oil prices?2022Carbon prices forecasting in quantiles 2018Forecasting the aggregate oil price volatility in a data-rich environment 2021Oil, natural gas and BRICS stock markets: Evidence of systemic risks and co-movements in the time-frequency domain 2022Forecasting crude oil futures market returns: A principal component analysis combination approach 2023A novel hybrid model based on deep learning and error correction for crude oil futures prices forecast

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2017Can investor attention predict oil prices?article · 16 shared references 2022Geopolitical risk trends and crude oil price predictabilityarticle · 11 shared references 2016Oil price shocks and U.S. dollar exchange ratesarticle · 9 shared references 2021Forecasting crude oil prices: A scaled PCA approacharticle · 9 shared references 2022Forecasting crude oil futures market returns: A principal component analysis combination approacharticle · 9 shared references 2021Machine learning and oil price point and density forecastingarticle · 9 shared references

Details

Year2016

Typearticle

Published2016-04-01

VenueEnergy Economics

ISSN-L0140-9883

Languageen

Citations138

Files0 public / 0

ShelfMarket Dynamics and Volatility

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doi10.1016/j.eneco.2016.03.017

openalex_workW2332959600

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2021Predicting Gold and Silver Price Direction Using Tree-Based Classifiers

2019An integrated framework of genetic network programming and multi-layer perceptron neural network for prediction of daily stock return: An application in Tehran stock exchange market