Imitation in the Imitation Game

20 Pages Posted: 10 Oct 2017 Last revised: 19 Oct 2017

See all articles by Ravi Kashyap

Ravi Kashyap

Gain Knowledge Group; Estonian Business School; City University of Hong Kong (CityU) - Department of Economics & Finance

Date Written: October 10, 2017


We briefly review the objectives of automation, equipped with non-trivial decision making, or creating artificial intelligence, in the financial markets and provide, a possible alternative. Intelligence might be an unintended consequence, of curiosity left to roam free, best exemplified by a frolicking infant. For this unintentional yet welcome aftereffect to set in, a foundational list of guiding principles, needs to be present. We propose a test of intelligence for trading programs, on the lines of the Turing Test, which has long been the benchmark for intelligent machines. We conclude with a discussion of how this methodology could be applied to the dilemma in finance, which is whether, when and how much to Buy, Sell or Hold.

This is an adaptation of (Kashyap 2017), "Artificial Intelligence: A Child’s Play", to the financial markets.

Keywords: Artificial, Intelligence, Turing, Test, Curiosity, Confidence, Uncertainty, Trade, Finance, Trial, Error

JEL Classification: G11, B16, C63

Suggested Citation

Kashyap, Ravi, Imitation in the Imitation Game (October 10, 2017). Available at SSRN: or

Ravi Kashyap (Contact Author)

Gain Knowledge Group ( email )

1 Austin Road West
Hong Kong


Estonian Business School ( email )

City University of Hong Kong (CityU) - Department of Economics & Finance

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