Time is Money: The Equilibrium Trading Horizon and Optimal Arrival Price
Kevin Patrick Darby

TL;DR
This paper introduces a novel continuous-time framework for optimal trading horizons that balances variance risk and liquidity costs, providing insights into execution strategies for derivatives and baskets of instruments.
Contribution
It develops the Time Is Money model, incorporating real-time dynamics and convexity factors, to determine equilibrium trading horizons and optimize execution strategies.
Findings
Demonstrates a continuous-time Arrival Price framework.
Introduces half-life factor asymptotics based on convexity.
Provides a specialization for trading correlated instruments like futures spreads.
Abstract
Executing even moderately large derivatives orders can be expensive and risky; it's hard to balance the uncertainty of working an order over time versus paying a liquidity premium for immediate execution. Here, we introduce the Time Is Money model, which calculates the Equilibrium Trading Horizon over which to execute an order within the adversarial forces of variance risk and liquidity premium. We construct a hypothetical at-the-money option within Arithmetic Brownian Motion and invert the Bachelier model to compute an inflection point between implied variance and liquidity cost as governed by a central limit order book, each in real time as they evolve. As a result, we demonstrate a novel, continuous-time Arrival Price framework. Further, we argue that traders should be indifferent to choosing between variance risk and liquidity cost, unless they have a predetermined bias or an…
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Taxonomy
TopicsFinancial Markets and Investment Strategies · Complex Systems and Time Series Analysis · Market Dynamics and Volatility
