Showing 1 - 10 of 14
Persistent link: https://www.econbiz.de/10003923943
We show that market-maker balance sheet and income statement variables explain time variation in liquidity, suggesting liquidity-supplier financing constraints matter. Using 11 years of NYSE specialist inventory positions and trading revenues, we find that aggregate market-level and specialist...
Persistent link: https://www.econbiz.de/10013113721
We show that market-maker balance sheet and income statement variables explain time variation in liquidity, suggesting liquidity-supplier financing constraints matter. Using 11 years of NYSE specialist inventory positions and trading revenues, we find that aggregate market level and...
Persistent link: https://www.econbiz.de/10012756345
Traditional microstructure models predict that market makers' inventory positions do not impact liquidity (the effective cost of trading). Models with limited market maker riskbearing capacity predict that larger inventories negatively impact overall liquidity and the effect is greater for more...
Persistent link: https://www.econbiz.de/10012717338
Persistent link: https://www.econbiz.de/10003501740
Persistent link: https://www.econbiz.de/10010466615
This paper examines daily inventory/asset price dynamics using 11 years of NYSE specialist data. The unique length and breadth of our sample enables the first longer horizon testing of market making inventory models - e.g., Grossman and Miller (1988). We confirm such models' predictions that...
Persistent link: https://www.econbiz.de/10012734066
This paper studies the ability of non-informational order imbalances (buy minus sell volume) to predict daily stock returns at the market level. Using a model with three types of participants (an informed trader, liquidity traders, and a finite number of arbitrageurs), we derive predictions...
Persistent link: https://www.econbiz.de/10012712391
Persistent link: https://www.econbiz.de/10012878980
This paper studies the ability of non-informational order imbalances (buy minus sell volume) to predict daily stock returns at the market level. Using a model with three types of participants (an informed trader, liquidity traders, and a finite number of arbitrageurs), we derive predictions...
Persistent link: https://www.econbiz.de/10012720134