Showing 1 - 10 of 11
Stock exchange operators compete for order flow by setting "make" fees for limit orders and "take" fees for market orders. When traders quote continuous prices, they can choose prices that perfectly neutralize any fee division, and traders stream to the exchange with the lowest total fee. The...
Persistent link: https://www.econbiz.de/10012904610
Persistent link: https://www.econbiz.de/10010489668
Persistent link: https://www.econbiz.de/10011926616
Persistent link: https://www.econbiz.de/10011782803
We show that queueing rationing under price controls drives high-frequency trading. A one-cent uniform tick size (minimal price variation) creates rents and generates queues for liquidity provision, particularly for securities with lower prices (larger relative tick sizes). Speed rations the...
Persistent link: https://www.econbiz.de/10012972909
Persistent link: https://www.econbiz.de/10012033534
Security trading now fragments into more than 10 almost identical stock exchanges in the United States. We show that discrete pricing is one economic force that prevents the consolidation of trading volume. The uniform one-cent tick size (minimum price variation), imposed by the SEC's Rule 612,...
Persistent link: https://www.econbiz.de/10012965049
We argue that a one-penny minimum tick size for all stocks priced above $1 (SEC rule 612) encourages high-frequency trading and taker/maker–fee markets. We find that non-high frequency traders (non-HFTers) are 2.62 times more likely than HFTers to provide best prices, thereby establishing...
Persistent link: https://www.econbiz.de/10012905126
When price competition is constrained by tick size, speed allocates the resources due to the time priority rule. We demonstrate three implications of competition in speed. 1) We find more high frequency liquidity provision for lower price stocks with high market cap, where the one cent tick size...
Persistent link: https://www.econbiz.de/10012905630
Odd-lots are trades for less than 100 shares of stock. These trades are missing from the TAQ data because they are not reported to the consolidated tape. We investigate the systematic bias that arises from the exclusion of odd lots from TAQ data. In our sample, the median number of missing...
Persistent link: https://www.econbiz.de/10012905694