Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Two papers about LOBs #2

Open
zhsess opened this issue Oct 10, 2023 · 0 comments
Open

Two papers about LOBs #2

zhsess opened this issue Oct 10, 2023 · 0 comments

Comments

@zhsess
Copy link
Collaborator

zhsess commented Oct 10, 2023

I read the two papers about LOBs attached in Slack. Here is a brief summarize:

Buy Low Sell High: a High Frequency Trading Perspective

Key points:

  1. We must consider the short-term drift of the midprice (short-term-alpha).
  2. Assumption 2 gives fill probabilities due to changes in the LOB which result from the arrival of MOs.
  3. When an influential buy (sell) MO arrives, cancel sell (buy) LOs, purchase (sell) the asset (from/to the slower market participant), and send new sell (buy) LOs.
  4. We need to consider to penalize large long/short inventories.

Limitations:

The HJB equation in their simulations has many parameters, it’s hard to do real-time fitting for these parameters with limited data. We can just follow the idea in this paper (i.e. considering short-term-alpha), and train our own model.

The Informational Content of an Open Limit Order Book

I don’t think this paper offers valuable insights about LOBs. It just semi-quantitatively summarize some common senses:

  1. The shape of LOBs, besides the best bid and offer, is informative;
  2. The imbalance between bid and offer influences the short-term-alpha.
@zhsess zhsess changed the title Two papers of LOBs Two papers about LOBs Oct 10, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant