The Cross-Sectional Relationship Between Trading Costs and Lead/Lag Effects in Stock & Option Markets

Prior empirical research has failed to settle the question of lead/lag effects between stock and option markets. This study investigates the relation between cross‐sectional differences in trading costs and intraday lead/lag effects in stock and option markets. The data for the study comprise 19 firms sampled at five‐minute intervals over a two‐month period. Consistent with a trading cost hypothesis, results indicate overall stock market leading behavior. However, the lead appears to be related to option market trading costs. This study uses an error correction model framework to investigate the lead/lag effects. This approach provides information on both the long run equilibrating process as well as the short term interactions between stock and option markets. Information regarding the long run equilibrating process is important to the overall understanding of lead/lag effects and cannot be determined from time series models of differenced data. Specific criteria for assessing lead/lag effects in cointegrated series are also proposed. One advantage of these new criteria is their ability to identify leading behavior in the presence of feedback. All models are estimated with quote data and are constructed to eliminate overnight effects. Hence, the results are robust to previously identified distortions due to closing, overnight, and potential non‐trading effects. However, caution should be employed in generalizing the results as the study covers a two‐month trading period for a limited number of firms.