Autoregressive conditional duration models: An application in foreign exchange markets
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Abstract (EN)
In this study, the price changes duration processes obtaining from Forex market are analyzed with autoregressive conditional duration models. The price durations of four currency pairs (EUR/USD, USD/JPY, GBP/USD and USD/CHF) ranging from April 1, 2019 to April 26, 2019 are calculated and 795,892 observations are obtained. The aim of this study is to analyze whether behaviors of market can be explained by using statistical properties and estimation procedures of ACD models. The obtained results indicate that duration clustering arises clearly in Burr-ACD models. It can be concluded that ACD models with flexible distributions can successfully explain price changes durations.
Author
Pınar Süloğlu
How to Cite
Pınar Süloğlu (Master Thesis). Autoregressive conditional duration models: An application in foreign exchange markets, 2019, İstanbul University.
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