Size matters for OTC market makers: general results and dimensionality reduction techniques.
@article{Bergault2019SizeMF, title={Size matters for OTC market makers: general results and dimensionality reduction techniques.}, author={Philippe Bergault and Olivier Gu{\'e}ant}, journal={arXiv: Trading and Market Microstructure}, year={2019} }
In most OTC markets, a small number of market makers provide liquidity to other market participants. More precisely, for a list of assets, they set prices at which they agree to buy and sell. Market makers face therefore an interesting optimization problem: they need to choose bid and ask prices for making money while mitigating the risk associated with holding inventory in a volatile market. Many market making models have been proposed in the academic literature, most of them dealing with… CONTINUE READING
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Deep Reinforcement Learning for Market Making in Corporate Bonds: Beating the Curse of Dimensionality
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