Akademik Veri Yönetim Sistemi
Horizons of Progress: International Conference on Economics, Management, Technology, and Social Sciences, Bangkok, Tayland, 4 - 05 Ocak 2025, ss.1-5
Google is the most widely
used search engine globally, providing users with easy access to information.
Google Trends, a tool that has gained significant popularity in recent years,
offers insights into search term volumes and their variations over time, either
globally or by specific countries. This platform allows users to explore trends
in search activity related to various concepts, objects, countries, or
individuals, with data including search frequency changes and regional
distribution.
In this study, we
investigate the relationship between Google Trends search volumes and stock
prices within the automotive sector. The analysis utilizes Wavelet Coherence,
a powerful technique that allows for the examination of correlations between
time series data across different frequencies. The application of this method
enables us to assess how fluctuations in public interest, as indicated by
Google search volumes, correlate with stock price movements in the automotive
industry.
Investor behavior is not
always entirely rational and that emotions and psychological factors can
significantly influence market movements. Google Trends data may reflect shifts
in public sentiment, which in turn can drive investor decisions, leading to
corresponding price fluctuations in the stock market. The analysis of search
volumes can provide a proxy for measuring market sentiment or investor
attention, as increases in searches often coincide with heightened public
interest in a company or sector. The results of this study provide valuable
insights into the potential predictive power of Google Trends data for
understanding market behavior and sentiment, offering implications for both
investors and researchers in financial markets.