# Quantifying the Linguistic Complexity of Pan-Homophonic Events in Stock Market Volatility Dynamics

## TL;DR

This paper explores how phonetic similarities between event keywords and stock tickers can influence stock price volatility, using a case study and new analytical methods.

## Contribution

The study introduces a novel method to quantify and differentiate the intensity of pan-homophonic events using linguistic amplitude segmentation and a new benchmarking framework.

## Key findings

- Low-intensity pan-homophonic events often lead to moderate price fluctuations that may evolve into higher volatility.
- Price surges from these events typically occur within one or two days and revert within about three weeks.
- Repeated exposure to homophonic stimuli reduces the market's response, suggesting a decaying spillover effect.

## Abstract

Pan-Homophonic events denote fluctuations in stock prices that are triggered by phonetic similarities between event keywords and stock tickers. As a relatively novel and under-researched phenomenon, they mirror a subtle yet influential behavioral deviation within financial markets. Centering on the case of Chuandazhisheng, this study delves into how such events produce dynamic and time-varying impacts on stock prices. A linguistic amplitude segmentation method is devised to discriminate between high- and low-intensity events based on information entropy. To separate pan-homophonic-driven price movements from broader market trends, the Relational Stock Ranking (RSR) model is integrated with a Dynamic Conditional Correlation-Generalized Autoregressive Conditional Heteroskedasticity (DCC-GARCH) framework to establish an adjusted price benchmark. The empirical analysis reveals a sequential price response: initial moderate fluctuations in the low-amplitude phase often yield to more prominent volatility in the high-amplitude phase. While price surges typically occur within one or two days of the event, they generally revert within approximately three weeks. Moreover, repeated exposures to homo- phonic stimuli seem to attenuate the response, indicating a decaying spillover pattern. These findings contribute to a more profound understanding of the intersection between linguistic cues and market behavior and provide practical insights for investor education, information filtering, and regulatory supervision.