Spoofing in Equilibrium 

Basil Williams & Andrzej Skrzypacz

Discussion by Katya Malinova

DeGroote School of Business

McMaster University

WFA 2022

June 2022, Portland OR

Spoofing: why care now? new? big(ger) problem?

  • Not new 
    • But: was it easier to detect "bluffs" & bad actors on the floor/in the pit?
  • SEC filed charges against spoofing in Nov 2001
    • violating Securities Act of 1933 and Securities Exchanges Act of 1934
    • 6 individuals, collectively pay $43,860.63
  • Dodd-Frank: defined spoofing & explicitly illegal in futures in 2010
    • enforcement ramped up (?)

BUT: not that many cases made the news!

Little spoofing? Threat of prosecution?

Difficult to catch and/or to prosecute?

As an aside: "Cryptocurrency Pump and Dump Schemes" Li, Shin, Wang (2021)

"bidding or offering with the intent to cancel the bid or offer before execution"

Spoofing: remains difficult to identify

  • How to distinguish intent from legitimate cancels?
    • Change of mind, new info, ...
  • 2014: Michael Coscia
    • pre-programmed algorithms
  • 2021: Edward Bases and John Pacilio
    • online chat
    • “I know how to game this stuff.”
    • “One can definitely manipulate if you’re aggressive.”
    • “If you spoof this it really moves.”

Ideally: need a model/method to address this problem

High legal bar!

This paper

  • Cool tractable model to conceptualize spoofing
  • Spoofing is an equilibrium outcome 
    • most prevalent in "moderately" liquid markets
  • Predictions on the impact 
    • slower price discovery
    • lower liquidity 
    • higher volatility

Model: modified Glosten-Milgrom

  • Traders: informed or noise, use market orders against MM, trade one unit

MM posts T1 quotes 

MM posts T2 quotes 

fundamental revealed

T1 Short-term trader: market order

T2 Short-term trader: market order

T1

T2

T1 market order may be cancelled: by the T1 trader or exogenously

Model: modified Glosten-Milgrom

MM posts T1 quotes 

MM posts T2 quotes 

fundamental revealed

T1

T2

Long term trader (buyer)

market buy

market sell

cancel

Model: modified Glosten-Milgrom

T1

T2

long-term buyer \(\Rightarrow\) E[V| history] = Pr (informed) = \(\alpha\)

 \(p=\alpha\)

 \(0<p<\alpha\)

market buy

market sell

cancel

market buy

          long-term buyer \(\Rightarrow\) E[V| history] =\(\alpha\)

          short-term seller  +  short-term buyer   \(\Rightarrow\) E[V| history] =0

  • Cool approach & gets the job done!
    • tractable model of price manipulation
  • But:
    • interpretational challenges
    • high price impact of spoofing 
  • What about a stylized limit order book model (with "simple" pricing rules)?
    • Kaniel and Liu (2006)
    • Brolley and Malinova (2021)

Comment 1:  market order cancellations?

  • Single parameter describes both the mean and the variance of the fundamental
  • Spoofing by a buyer ("fake sells"):
    • lower expected value
    • \(\to\) mechanically higher variance \(\to\) higher bid-ask spread
  • How robust are the liquidity and volatility predictions to richer info structures?

Comment 2:  two states of the world

  • A single order enough to move the needle
  • Sell + cancel = always "bad news"
    • what if "cancel" is due to new positive info?
  • Long-term trader is a temporal "monopolist"
    • only exogenous costs to spoofing
    • no competition, no prices moving against you 

Comment 3:  too "easy" to spoof in the model?

Difficult to draw strong policy/practical implications

E.g., authors: HFTs facilitate spoofing

True: easier to "hide" the cancels

But is it easier to spoof with HFTs?

  • Very nice, tractable, parsimonious model to conceptualize spoofing
  • Spoofing is an equilibrium outcome
    • can't "educate it away"
  • Main takeaways for policy? Regulators? Prosecutors?
  • Key insights on differentiating price manipulation from legitimate behavior?

To sum up

@katyamalinova

malinovk@mcmaster.ca

slides.com/kmalinova

https://sites.google.com/site/katyamalinova/

https://www.justice.gov/opa/pr/eight-individuals-charged-deceptive-trading-practices-executed-us-commodities-markets

Spoofing: why care?

WFA 2022 Spoofing in Equilibrium Discussion

By Katya Malinova

WFA 2022 Spoofing in Equilibrium Discussion

WFA 2022 Spoofing in Equilibrium Discussion

  • 438