Trading Network Structure and Market Variables in a Stock and Warrant

Summary

The study examines how trader relationships in transaction networks correspond to market behavior for a stock and its warrant. Using transaction-level audit trail data for Baosteel and its warrant over the stated study period, the authors divide each trading day into five-minute windows and build a network for each window. The resulting sequence contains more than 1,100 networks. Network measures include centralization, assortativity, and average path length, intended to describe patterns of order execution.

The paper reports strong simultaneous correlations between these network measures and financial variables, including returns, volatility, time between trades, and trading volume, for both instruments. This links network structure with market conditions in the observed data, but the reported relationship is correlational and simultaneous. The summary does not establish causal effects, predictive value, or whether the patterns generalize beyond the studied stock, warrant, and period.

Key ideas

• The authors construct trader networks from pairwise buy-sell relationships in transaction records.
• Each trading day is divided into five-minute windows to create a time series of networks.
• Network centralization, assortativity, and average path length are compared with market variables.
• The study reports simultaneous correlations with returns, volatility, intertrade duration, and trading volume.
• The evidence is observational and limited to one stock, its warrant, and the stated sample period.

Tags

# 1308.0925


# Unveiling correlations between financial variables and topological metrics of trading networks: Evidence from a stock and its warrant









Traders adopt different trading strategies to maximize their returns in financial markets. These trading strategies not only results in specific topological structures in trading networks, which connect the traders with the pairwise buy-sell relationships, but also have potential impacts on market dynamics. Here, we present a detailed analysis on how the market behaviors are correlated with the structures of traders in trading networks based on audit trail data for the Baosteel stock and its warrant at the transaction level from 22 August 2005 to 23 August 2006. In our investigation, we divide each trade day into 48 time windows with a length of five minutes, construct a trading network within each window, and obtain a time series of over 1,100 trading networks. We find that there are strongly simultaneous correlations between the topological metrics (including network centralization, assortative index, and average path length) of trading networks that characterize the patterns of order execution and the financial variables (including return, volatility, intertrade duration, and trading volume) for the stock and its warrant. Our analysis may shed new lights on how the microscopic interactions between elements within complex system affect the system's performance.

Shown in full with attribution under the source's licence. Licence: abstract CC0

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.