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Macide Çiçek Prof. Dr. KÜTAHYA DUMLUPINAR ÜNİVERSİTESİ
Publication 1 Review 10 CrossRef Cited 5
1 Publication
10 Review
5 CrossRef Cited
0000-0001-7512-767X

Research Fields

Monetary Policy

Institution

KÜTAHYA DUMLUPINAR ÜNİVERSİTESİ

Popular Publications

Prediction of Cryptocurrency Prices: Comparison of ARIMA-GARCH and LSTM Methods
Authors: Neman Eylasov , Macide Çiçek
Published: 2024 , Research of Financial Economic and Social Studies
DOI: 10.29106/fesa.1380870
CITED 5 FAVORITE 1 TOTAL DOWNLOAD COUNT 2242

5

1

2242

Publications

Prediction of Cryptocurrency Prices: Comparison of ARIMA-GARCH and LSTM Methods
Authors: Neman Eylasov , Macide Çiçek
Published: 2024 , Research of Financial Economic and Social Studies
DOI: 10.29106/fesa.1380870
FAVORITE 1 TOTAL DOWNLOAD COUNT 2242

1

2242

Articles published in
Research of Financial Economic and Social Studies
Research of Financial Economic and Social Studies

Reviews

Alanya Academic Review
Alanya Academic Review
Bulletin of Economic Theory and Analysis
Bulletin of Economic Theory and Analysis
Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Çankırı Karatekin Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Ege Academic Review
Ege Academic Review
İzmir Journal of Economics
İzmir Journal of Economics
Journal of Economics and Administrative Sciences
Journal of Economics and Administrative Sciences
Journal of Economics and Research
Journal of Economics and Research
Kastamonu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Kastamonu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi
Trends in Business and Economics
Trends in Business and Economics
Yönetim Bilimleri Dergisi
Yönetim Bilimleri Dergisi

Publications

Prediction of Cryptocurrency Prices: Comparison of ARIMA-GARCH and LSTM Methods
Authors: Neman Eylasov , Macide Çiçek
Published: 2024 , Research of Financial Economic and Social Studies
DOI: 10.29106/fesa.1380870
CITED 5 FAVORITE 1 TOTAL DOWNLOAD COUNT 2242

5

1

2242

Popular Publications: It is determined automatically by the researchers doing research in DergiPark according to the statistics of being added to the favorites. CrossRef Cited: The citations shown in DergiPark are drawn from CrossRef. For this, the cited and cited articles must be registered in CrossRef (DOI number). ^: Citation numbers are reflected in the system by DergiPark at certain periods. : Click to get information about the DergiPark User Badge.