Bandit Market Makers

نویسندگان

  • Nicolás Della Penna
  • Mark D. Reid
چکیده

We propose a flexible framework for profit-seeking market making by combining cost function based automated market makers with bandit learning algorithms. The key idea is to consider each parametrisation of the cost function as a bandit arm, and the minimum expected profits from trades executed during a period as the rewards. This allows for the creation of market makers that can adjust liquidity and bid-asks spreads dynamically to maximise profits.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bandit cellphones: A blue ocean strategy

The cellphone market has been dominated by global brand companies for years. However, “bandit” cellphones (i.e., unbranded or unknown-brand “white box” cellphones) have introduced a new business model that is changing the rules of the game. Low cost, high value-added features are characteristic of bandit cellphones. Developing countries offer huge market potential for the growth of bandit cellp...

متن کامل

Complexity Constraints in Two - Armed Bandit Problems : An Example

This paper derives the optimal strategy for a two armed bandit problem under the constraint that the strategy must be implemented by a finite automaton with an exogenously given, small number of states. The idea is to find learning rules for bandit problems that are optimal subject to the constraint that they must be simple. Our main results show that the optimal rule involves an arbitrary init...

متن کامل

Human behavior in contextual multi-armed bandit problems

In real-life decision environments people learn from their direct experience with alternative courses of action. Yet they can accelerate their learning by using functional knowledge about the features characterizing the alternatives. We designed a novel contextual multi-armed bandit task where decision makers chose repeatedly between multiple alternatives characterized by two informative featur...

متن کامل

Online Decision-Making with High-Dimensional Covariates

Big data has enabled decision-makers to tailor choices at the individual-level. This involves learning a model of decision rewards conditional on individual-specific covariates. In domains such as medical decision-making and personalized advertising, these covariates are often high-dimensional ; however, typically only a small subset of these observed features are predictive of each decision’s ...

متن کامل

Risk-aware multi-armed bandit problem with application to portfolio selection

Sequential portfolio selection has attracted increasing interest in the machine learning and quantitative finance communities in recent years. As a mathematical framework for reinforcement learning policies, the stochastic multi-armed bandit problem addresses the primary difficulty in sequential decision-making under uncertainty, namely the exploration versus exploitation dilemma, and therefore...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • CoRR

دوره abs/1112.0076  شماره 

صفحات  -

تاریخ انتشار 2011