To study the fluctuation characteristics of the Yangtze river ro-ro freight index, the monthly data of Yangtze river ro-ro freight index, international crude oil price and sales volume of Chinese commercial vehicles are selected, and the empirical analysis is carried out by using CensusX12 seasonal adjustment method and VAR model. The results show that there is obvious seasonal fluctuation law in the ro-ro freight index of commercial vehicles. Granger causality exists between automobile sales and ro-ro freight index, and between international crude oil price and ro-ro freight index. Through impulse response function analysis, the ro-ro freight index of commercial vehicles is sensitive to the impact of itself, crude oil price and sales volume of commercial vehicles, and the ro-ro freight index of commercial vehicles responds most violently to its own fluctuation impact.
Analysis of Volatility Characteristics of Yangtze River Commodity Automobile Ro-Ro Freight Index Based on VAR
2021-12-10
2876041 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Engineering Index Backfile | 1928
Freight transportation demand forecast and structural adjustment in Yangtze River Delta
British Library Conference Proceedings | 2022
|Commodity values and freight rates
Engineering Index Backfile | 1930
|Volatility in tanker freight markets
Elsevier | 2023
|