Haftanın Günü Anomalisi ile Dünya Deniz Ticareti Oynaklığının Tahmini: Baltık Kuru Yük Endeksi Uygulaması

Erkan Işiğiçok, Savaş Tarkun
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Abstract

The shipment of raw materials in the world by sea and the volatility in the Baltic Dry Index (BDI), which is the subject of this trade, and the day anomaly are two important issues. Although there are studies on BDI volatility in the literature, there are not many studies on the day anomaly related to BDI. The aim of this study is to reveal the volatility of the BDI variable used in determining the volume of world maritime trade and to determine the day of the week that causes this volatility. Data of the study includes the observation values for 262 working days for the period of 01 July 2021 – 01 July 2022. By taking the natural logarithmic differences of BDI data, the rate of return of the BDI index was obtained. Using these rates of return, experiments were conducted with various autoregressive conditional heteroscedasticity models and according to the findings obtained, it was concluded that there was an ARCH effect in the BDI variable, that Tuesday had an effect on increasing the volatility in the index and Friday had a decreasing effect.
利用周日异常估计世界海运贸易波动:波罗的海干散货指数的应用
全球原材料的海运和波罗的海干散货指数(BDI)的波动以及日异常是两个重要问题。虽然文献中有关于波罗的海干散货运价指数波动的研究,但与波罗的海干散货运价指数相关的当日异常的研究并不多。本研究旨在揭示用于确定世界海运贸易量的 BDI 变量的波动性,并确定导致这种波动性的星期几。研究数据包括 2021 年 7 月 1 日至 2022 年 7 月 1 日期间 262 个工作日的观测值。通过对 BDI 数据进行自然对数差分,得出了 BDI 指数的收益率。利用这些收益率,用各种自回归条件异方差模型进行了实验,根据实验结果得出结论,BDI 变量存在 ARCH 效应,周二对指数波动性有增加作用,而周五对指数波动性有减少作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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