scholarly journals SIMULTANEOUS TRADING IN ‘LIT’ AND DARK POOLS

2016 ◽  
Vol 19 (08) ◽  
pp. 1650055 ◽  
Author(s):  
M. ALESSANDRA CRISAFI ◽  
ANDREA MACRINA

We consider an optimal trading problem over a finite period of time during which an investor has access to both a standard exchange and a dark pool. We take the exchange to be an order-driven market and propose a continuous-time setup for the best bid price and the market spread, both modeled by Lévy processes. Effects on the best bid price arising from the arrival of limit buy orders at more favorable prices, the incoming market sell orders potentially walking the book, and deriving from the cancellations of limit sell orders at the best ask price are incorporated in the proposed price dynamics. A permanent impact that occurs when ‘lit’ pool trades cannot be avoided is built in, and an instantaneous impact that models the slippage, to which all lit exchange trades are subject, is also considered. We assume that the trading price in the dark pool is the mid-price and that no fees are due for posting orders. We allow for partial trade executions in the dark pool, and we find the optimal trading strategy in both venues. Since the mid-price is taken from the exchange, the dynamics of the limit order book also affects the optimal allocation of shares in the dark pool. We propose a general objective function and we show that, subject to suitable technical conditions, the value function can be characterized by the unique continuous viscosity solution to the associated partial integro-differential equation. We present two explicit examples of the price and the spread models, derive the associated optimal trading strategy numerically. We discuss the various degrees of the agent's risk aversion and further show that roundtrips are not necessarily beneficial.

2020 ◽  
Vol 43 (1) ◽  
pp. 277-301
Author(s):  
Qing-Qing Yang ◽  
Wai-Ki Ching ◽  
Jiawen Gu ◽  
Tak-Kuen Siu

2017 ◽  
Vol 20 (01) ◽  
pp. 1750005 ◽  
Author(s):  
ROSSELLA AGLIARDI ◽  
RAMAZAN GENÇAY

A model is proposed to study the risk management problem of designing optimal trading strategies in a limit order book. The execution of limit orders is uncertain, which leads to a stochastic control problem. In contrast to previous literature, we allow the agents to choose both the quotes and the sizes of their submitted orders. Attention is paid to how the trading strategy is affected by an order book’s characteristics, market volatility and the trader’s risk attitude. We prescribe an optimal splitting of the order size for the trades with limit orders, while the existing literature offers a solution to this problem with market orders, and, at the same time, we provide guidelines to optimally place orders further behind the best price or to (re)position them more aggressively. Thus this paper is an attempt towards a more realistic modeling of optimal liquidation throughout limit orders.


2018 ◽  
Vol 55 (3) ◽  
pp. 667-681
Author(s):  
Vít Peržina ◽  
Jan M. Swart

AbstractWe consider a simple model for the evolution of a limit order book in which limit orders of unit size arrive according to independent Poisson processes. The frequencies of buy limit orders below a given price level, respectively sell limit orders above a given level, are described by fixed demand and supply functions. Buy (respectively, sell) limit orders that arrive above (respectively, below) the current ask (respectively, bid) price are converted into market orders. There is no cancellation of limit orders. This model has been independently reinvented by several authors, including Stigler (1964), and Luckock (2003), who calculated the equilibrium distribution of the bid and ask prices. We extend the model by introducing market makers that simultaneously place both a buy and sell limit order at the current bid and ask price. We show that introducing market makers reduces the spread, which in the original model was unrealistically large. In particular, we calculate the exact rate at which market makers need to place orders in order to close the spread completely. If this rate is exceeded, we show that the price settles at a random level that, in general, does not correspond to the Walrasian equilibrium price.


2013 ◽  
Author(s):  
William T. LIn ◽  
Shih-Chuan Tsai ◽  
Zhenlong Zheng ◽  
Pei-Yau Long

2017 ◽  
Vol 20 (04) ◽  
pp. 1750022 ◽  
Author(s):  
JÖRN SASS ◽  
DOROTHEE WESTPHAL ◽  
RALF WUNDERLICH

This paper investigates optimal trading strategies in a financial market with multidimensional stock returns, where the drift is an unobservable multivariate Ornstein–Uhlenbeck process. Information about the drift is obtained by observing stock returns and expert opinions which provide unbiased estimates on the current state of the drift. The optimal trading strategy of investors maximizing expected logarithmic utility of terminal wealth depends on the filter which is the conditional expectation of the drift given the available information. We state filtering equations to describe its dynamics for different information settings. At information dates, the expert opinions lead to an update of the filter which causes a decrease in the conditional covariance matrix. We investigate properties of these conditional covariance matrices. First, we consider the asymptotic behavior of the covariance matrices for an increasing number of expert opinions on a finite time horizon. Second, we state conditions for convergence in infinite time with regularly-arriving expert opinions. Finally, we derive the optimal trading strategy of an investor. The optimal expected logarithmic utility of terminal wealth, the value function, is a functional of the conditional covariance matrices. Hence, our analysis of the covariance matrices allows us to deduce properties of the value function.


2016 ◽  
Author(s):  
Tolga Cenesizoglu ◽  
Gunnar Grass

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