||In the past, the used car market often had the problem of information asymmetry between buyers and sellers. In order to solve the above problems, most of the research on the used car market in the past used case studies and used questionnaires to collect information, but the way the questionnaires were collected. Subject to the distribution of pipelines and scope, the sampling community may not be representative of the type of trader in the entire used car market. Therefore, this study selected the German online used car auction market as the research target, and cooperated with the website to establish the price forecast model for the used car transaction record from March to April 2016, and gave the buyer a more detailed secondhand after the analysis. Car price forecast pipeline.|
This study uses data from the used car trading platform on the German Ebay website. The source of the database is more than 370,000 transactions. This study mainly relies on linear regression analysis to explore the price signal research of price-affecting time, and the establishment of price prediction model, and assists in the analysis with the image and text analysis techniques of narrative statistics.
Due to the limitations of research, although the research of price signals can not be directly discussed from the data analysis, the narrative statistics and brand research can still be applied to infer the cognitive influence of some brands on consumers. In addition, in the establishment of the price prediction model, it was discovered. Special price trends can also be provided to follow-up research and used car buyers and sellers as a reference.