Author:
Moosavi Mahsa,Clark Jeremy
Publisher
Springer International Publishing
Reference30 articles.
1. Aquilina, M., Budish, E.B., O’Neill, P.: Quantifying the high-frequency trading “arms race”: a simple new methodology and estimates. Chicago Booth Research Paper (20–16) (2020)
2. Lecture Notes in Computer Science;D Boneh,2018
3. Bonneau, J., Clark, J., Goldfeder, S.: On bitcoin as a public randomness source (2015). https://eprint.iacr.org/2015/1015.pdf. Accessed 25 Oct 2015
4. Brandom, R.: This Princeton professor is building a bitcoin-inspired prediction market (2013). https://www.theverge.com/2013/11/29/5158234/this-princeton-professor-is-building-a-bitcoin-inspired-prediction
5. Budish, E., Cramton, P., Shim, J.: The high-frequency trading arms race: frequent batch auctions as a market design response. Q. J. Econ. 130(4), 1547–1621 (2015)