Journals / Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi / 2017 / Cilt: 12 - Sayı: 3

Forecasting Financial Data with ARIMA and ARCH Models: The Case of Turkey

Finansal Verilerin ARIMA ve ARCH Modelleriyle Öngörüsü: Türkiye Örneği

Pages
15–36
Publication Date
2017-12-12
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Also, the predictions obtained from the ARCH models were found to be close to zero in the theil statistics.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The aim of this study is to predict the stock market, gold, foreign exchange and oil prices with Box-Jenkins and ARCH models.
📊
Key Findings & Data:In this direction, weekly datasets are used of BIST100 index, gold and oil prices and exchange rate variables between 01.02.2009-11.25.2016.
💡
Conclusion & Impact:Also, the predictions obtained from the ARCH models were found to be close to zero in the theil statistics.
🔬Design:Modeling & Simulation
📍Scope:2009 Verileri
⚙️Variables:ARIMA · GARCH · EGARCH

Abstract

The aim of this study is to predict the stock market, gold, foreign exchange and oil prices with Box-Jenkins and ARCH models. In this direction, weekly datasets are used of BIST100 index, gold and oil prices and exchange rate variables between 01.02.2009-11.25.2016. As a result of the analyses, asymmetric effect is revealed in all variables except gold prices. Also, the predictions obtained from the ARCH models were found to be close to zero in the theil statistics.

Özet

Bu çalışmanın amacı borsa, altın, döviz ve petrol fiyatlarının Box-Jenkins modelleri ve ARCH modelleri ile öngörülmesidir. Bu doğrultuda çalışmada BIST100 endeksi, altın ve petrol fiyatları ile döviz kuru değişkenlerine ait 01.02.2009-11.25.2016 tarihleri arasında yer alan haftalık veri setleri kullanılmıştır. Yapılan analizler sonucunda altın fiyatları haricindeki tüm değişkenlerde asimetrik etkinin varlığı ortaya koyulmuştur. Ayrıca ARCH modellerinden elde edilen öngörülerin theil istatistiklerinin sıfıra oldukça yakın olduğu bulunmuştur.

🔖

Cite This Article

Değirmenci, N., Akay, A. (2017). Forecasting Financial Data with ARIMA and ARCH Models: The Case of Turkey. Eskişehir Osmangazi Üniversitesi İktisadi ve İdari Bilimler Dergisi, Cilt: 12 - Sayı: 3, 15–36. https://ajindex.com/articles/30545

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (1)

  1. Bollerslev, T. (1986), “Generalized Autoregressive Conditional Heteroscedasticity”, Journal of Econometrics, 31, 307 -327.