the quest for efficiency november 7, 2006 hide-and-seek in the market: placing and detecting hidden...
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The Quest for Efficiency November 7, 2006
Hide-and-Seek in the Market:Placing and Detecting
Hidden Orders
Rudy De Winne(FUCaM University - Mons - Belgium)
&Catherine D’Hondt
(EDHEC Business School – Lille - France)
The Quest for Efficiency November 7, 2006
OUTLINE
Motivation and context
Research questions (2)
Data
Methodology and results
Conclusion
The Quest for Efficiency November 7, 2006
MOTIVATIONMost trading systems moved
towards greater transparency…– Automation enables the dispatching of
information in real time
– Regulation?
But the use of hidden orders becomes a widespread practice Euronext, Toronto, Sydney, Nasdaq, …
The Quest for Efficiency November 7, 2006
TRANSPARENCY LEVELon Euronext
What market participants see on their screens• The displayed quantities available at the
different bid and ask prices• The number of orders contributing to the
depth at a bid or ask price
What they do not see on their screens• ID codes• Hidden quantities (from iceberg orders)
The Quest for Efficiency November 7, 2006
RESEARCH QUESTIONS
Why do traders hide their orders ?
Pardo & Pascual (2006), Anand & Weaver (2004)
How do other traders respond to the detection of hidden depth? Griffiths, Smith, Turnbull & White (2000), Ranaldo (2004), … Do traders also use information they can infer by monitoring
LOB movements (presence of hidden orders) ?
The Quest for Efficiency November 7, 2006
How to guess the presence
of hidden depth?Qty Bid Bid Ask Qty Ask
400 50.00
500 49.60 52.20
250 49.50 52.30 300
300 49.30 52.60 100
300 49.00 53.00 700
52.00 300
500
H_Ask
2500
1250
0
0
1000
H_Bid
0
1100
0
1000
550
Market buy order for a quantity of 300 shares
52.00 400 ?
The Quest for Efficiency November 7, 2006
DATA
• Public data: orders & trades+ some additional private data
• Limit order book data:both displayed and hidden quantitiesat each limit price in the whole order book
• Sample:CAC40 stocksOctober to December 2002
(64 trading days) More than 12 million of LOB states
(continuous session)
The Quest for Efficiency November 7, 2006
Why Do Traders Use Hidden Orders?
Traders are more likely to hide their limit orders when the order size is large relative to the prevailing displayed depth
The Quest for Efficiency November 7, 2006
Why Do Traders Use Hidden Orders?
Market members are less likely to hide part of their own limit orders than clients because they monitor the market more actively [Anand & Weaver (2004)]
The Quest for Efficiency November 7, 2006
Why Do Traders Use Hidden Orders?
Traders tend to hide when they submit non marketable but competitive limit orders
The Quest for Efficiency November 7, 2006
Presence of HO at the best quote
When some hidden orders are detected at the best Bid/Ask, they are thought to be present during 9 successive states !
The Quest for Efficiency November 7, 2006
Our order aggressiveness classificationCategory 1: orders that consume the whole displayed depth
at the best opposite quote
Category 2: orders that consume a part of displayed depth
at the best opposite quote
Category 3: orders improving the best price on the same side
Category 4: orders increasing the depth at the best quote
Category 5: other orders
How do traders respond when
they discover hidden depth?
The Quest for Efficiency November 7, 2006
Methodology
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The Quest for Efficiency November 7, 2006
Aggressive orders are more frequent when bid-ask spreads are narrow [Ranaldo (2004)]
RESULTS:Order aggressiveness
The Quest for Efficiency November 7, 2006
The deeper the market on the same side, the more aggressive the subsequent orders.
The deeper the market on the opposite side, the less aggressive the subsequent orders.
RESULTS:Order aggressiveness
The Quest for Efficiency November 7, 2006
Orders are more aggressive when hidden depthis discovered at the best opposite quote
See Pardo & Pascual (2006)
RESULTS:Order aggressiveness
The Quest for Efficiency November 7, 2006
RESULTS:Order aggressiveness
When discovering hidden orders at the best quote on the same side, members respond differently when they trade for their own account or not.
The Quest for Efficiency November 7, 2006
CONCLUSION Euronext members hide their limit orders when the order size is
large, the price limit is competitive and they trade for their clients.
Traders are able to infer the presence of hidden orders by monitoring LOB movements and they adapt their behavior
Traders do not associate hidden orders with informed trading (depth improvement)
Development of algorithmic trading plays a key role in detecting hidden orders
Hidden depth is important to understand traders’ behavior !