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LBMA/LPPM Precious Metals Conference

30/09/2013

Algorithmic trading facts & fantasies

J Scott Kerson

Head of Commodities AHL / Man Systematic Strategies, Man Group PLC

LBMA/LPPM Precious Metals Conference 2013

September 2013

For institutional/professional and/or qualified investor use only. Not for public distribution.

www.man.com

This material is communicated by Man Investments Limited and AHL Partners LLP (the ‘Entities'), which are both registered in England and Wales at Riverbank House, 2 Swan Lane, London, EC4R 3AD. Both are authorised and regulated in the UK by the Financial Conduct Authority.

Switzerland: To the extent this material is communicated in Switzerland, this material is communicated by Man Investments (CH) AG, which is regulated and authorised by the Swiss

Financial Market Supervisory Authority FINMA.

Germany: To the extent this material is communicated in Germany, the communicating entity is Man (Europe) AG, which is authorised and regulated by the Liechtenstein Financial Market

Authority (FMA).

Hong Kong: To the extent this material is communicated in Hong Kong, this material is communicated by Man Investments (Hong Kong) Ltd and has not been reviewed by the Securities

and Futures Commission in Hong Kong. This material can only be distributed to institutional/professional clients who are within one of the professional investor exemptions contained in the Securities and Futures Ordinance and must not be relied upon by any other person.

This material is for informational purposes only and should not be relied upon for any other purpose. This material includes facts, views and opinions of global economic markets deemed of interest.

This material is proprietary information of the Entities and its affiliates and may not be reproduced or otherwise disseminated in whole or in part without prior written consent from the Entities. The Entities believe its data and text services to be reliable, but accuracy is not warranted or guaranteed. We do not assume any liability in the case of incorrectly reported or incomplete information.

Information contained herein is provided from the Man database except where otherwise stated. Please be aware that investment products involve investment risks, including the possible loss of the principal amount invested. Alternative investments can involve significant risks and the value of an investment may go down as well as up. Returns may increase or decrease as a result of currency fluctuations. The data used herein constitutes the latest data available at the time of production.

Important notes

© Man 2013 2

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What do systematic traders actually do?

Why do we use algorithmic execution?

An anecdotal history of systematic trading

Source: Man database and Wikipedia.

© Man 2013 4

What do we do?

1954

: IBM introduces the 704, the world’s first mass-produced

computer with floating point hardware, index registers, and core

memory.

1956

: Mathematics PhD student Edward O. Thorp observes that

a deck of cards has “memory” – the conditional distribution of the

next card depends on the previous cards dealt. He uses the IBM

704 to bootstrap a systematic strategy for Black Jack. He doubles

his money in his first weekend.

1962

: Thorpe publishes his system in Beat The Dealer, becomes a

NY Times best-seller, and forces every casino in the world to alter

(3)

LBMA/LPPM Precious Metals Conference

30/09/2013

Source: Man database

There is no guarantee of trading performance and past performance is no indication of current or future performance/results.

© Man 2013 5

Estimating the composition of ‘the deck’

The empirical response function for FASTCOMM

B a si s p o in ts P n L

Standard deviation of signal

Simulation of the Man Commodities Fund systematic overlay and WTI Crude Oil in 2008

Sources: Man database and Bloomberg.

Sample period of backtrack data: 1 January 2008 to 31 December 2008. In this backtrack, which corresponds to a simulation of the Man Commodities Fund USD institutional share class. There is no guarantee of trading performance and past performance is no indication of current or future performance/results.

6

Is it an advantage not to read newspapers?

“An ominous warning that

the rapid rise in oil prices

has only just begun”

(The Independent,

11 June 2008; Model remains

LONG, but starts to CUT)

“An ominous warning that

the rapid rise in oil prices

has only just begun”

(The Independent,

11 June 2008; Model remains

LONG, but starts to CUT)

“Will oil prices recover after

tanking in 2008?”

(The Telegraph,

29 December 2008; Model

remains SHORT)

“Will oil prices recover after

tanking in 2008?”

(The Telegraph,

29 December 2008; Model

remains SHORT)

“New ‘super-spike’ might

mean USD 200 a barrel oil”

(MarketWatch, 7 March 2008;

Model is LONG)

“New ‘super-spike’ might

mean USD 200 a barrel oil”

(4)

What do systematic traders actually do?

Why do we use algorithmic execution?

© Man 2013 8

(5)

LBMA/LPPM Precious Metals Conference

30/09/2013

Coming soon to a market near you

At least 30% of all US equity market volumes are traded by machines, with some estimates suggesting 60% or more

In electronic commodities futures execution, we estimate that algo share has doubled in the last two years, from 20%

to 40%

‘High-touch’ or human-to-human rapidly going to zero for liquid futures

Sources: BloombergBusinessweek, 6 June 2013: How the Robots Lost: High-Frequency Trading's Rise and Fall. Marco Avellaneda, 2011: Algorithmic and High-frequency trading: an overview.

© Man 2013 9

The rise of the machines

US Equities markets: percentage of orders generated by algorithms

Per c entage of equity volum e

Source: Man database.

© Man 2013 10

The AHL approach: pitting humans against the machines

Explicit competition between Virtual Trader and The Desk

100% to machines 100% to desk Competitive band – 50/50 split Large trades Small trades

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AHL’s evidence on competitive execution

Source: Man database.

© Man 2013 11

-2 -1 0 1 2 3 4

Cocoa (NY)Soy Oil Cocoa (London)Soy Beans Coffee (Robusta)Corn Rapeseed (Winnipeg)Platinum Wheat (Chicago)Palm Oil Sugar (London)Lean Hogs Copper (NY)Rubber Wheat (KC)Live Cattle Crude Oil (WTI)Heating Oil Gasoil Cotton Crude Oil (Brent)Soy Meal Gold Coffee (Arabica)Feeder Cattle Silver Wheat (Minneapolis)Palladium Crude Oil (ICE WTI)Natural Gas Gasoline Sugar (NY)

Noisy but generally consistent performance

Welsh t-Statistic by market

Virtual Trader outperforms

Im

p

le

m

ent

a

tion s

h

o

rt

fa

ll

 Streaming prices from multiple counterparties, often updating several times/second

 Multi-broker model minimises inside bid-offer spread

 Direct price feeds reduce information leakage and execution risk from ‘stale’ information

 Internal order book enables proprietary execution algorithms – overall slippage reduced by around 30%

Source: Man database.

Sample view of internal order book – intraday cash gold on 21

st

Aug, 2013

© Man 2013 12

Electronic competition in the dealer market

Improving price discovery

Inside

spread

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LBMA/LPPM Precious Metals Conference

30/09/2013

Source: Man database.

© Man 2013 13

Competition between marketplaces

Maximising market depth

OTC Cheaper

Exchange cheaper

1 January 1994 to 30 June 2013

Source: Man database.

© Man 2013 14

The final result

Lower costs mean higher returns

References

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