Showing 1 - 10 of 13
The high-frequency trading arms race is a symptom of flawed market design. Instead of the continuous limit order book (CLOB) that is currently predominant, we argue that financial exchanges should use frequent batch auctions: uniform price double auctions conducted, e.g., every tenth of a...
Persistent link: https://www.econbiz.de/10012938112
This paper builds a new model of financial exchange competition, tailored to the institutional details of the modern US stock market. In equilibrium, exchange trading fees are competitive but exchanges are able to earn economic profits from the sale of speed technology. We document stylized...
Persistent link: https://www.econbiz.de/10012849165
We use stock exchange message data to quantify the negative aspect of high-frequency trading, known as “latency arbitrage.” The key difference between message data and widely-familiar limit order book data is that message data contain attempts to trade or cancel that fail. This allows the...
Persistent link: https://www.econbiz.de/10012829972
This paper builds a new model of financial exchange competition, tailored to the institutional details of the modern US stock market. In equilibrium, exchange trading fees are competitive but exchanges are able to earn economic profits from the sale of speed technology. We document stylized...
Persistent link: https://www.econbiz.de/10012870055
This paper builds a model of stock exchange competition tailored to the institutional and regulatory details of the modern U.S. stock market. The model shows that under the status quo market design: (i) trading behavior across the seemingly fragmented exchanges is as if there is just a single...
Persistent link: https://www.econbiz.de/10012479804
Persistent link: https://www.econbiz.de/10012620780
Persistent link: https://www.econbiz.de/10012029917
We use stock exchange message data to quantify the negative aspect of high-frequency trading, known as "latency arbitrage." The key difference between message data and widely-familiar limit order book data is that message data contain attempts to trade or cancel that fail. This allows the...
Persistent link: https://www.econbiz.de/10012599301
Persistent link: https://www.econbiz.de/10012799269
We use stock exchange message data to quantify the negative aspect of high-frequency trading, known as "latency arbitrage." The key difference between message data and widely-familiar limit order book data is that message data contain attempts to trade or cancel that fail. This allows the...
Persistent link: https://www.econbiz.de/10013346834