What are the biggest constraints or challenges you see in
the future trading landscape?
With more than 250 bil $ under management and a global
multi-asset trading desk with volume in excess of 1 trillion bil Euro yearly,
it is easy to understand that liquidity is our main concern.
We have to deal with a huge variety of orders across a wide
range of asset classes, each with a diversified set of requirements and
criteria in terms of how best to achieve best execution.
In order to succeed with such a large trading operation, we
have to use a mix of orders, from brokers’ algos to low touch and DMAs, from
dark pools to traditional high-touch orders. When liquidity is low and market
impact might be significant, our approach is to source liquidity from all
available sources.
In defining our execution strategy, liquidity is certainly
the key element we consider. Our objective is always to build our positions
trying to minimise market impact. Due to our large sizes we want to do that with
the appropriate level of confidentiality to protect our investors. Therefore,
the route and venues that we select depend really from the type of order that
we are trying to execute. If we are working a large position, we feel our
investors are better protected when trading away from lit venues, using
high-touch orders with our most trusted counterparties, because our trading
info are better protected as no one can see what you are trying to do and you
can eventually get a decent part of your institutional block trade done. We
know that if a large trade is spotted entering the market, our traders are open
to abuse by HFT firms. It’s like playing poker where the other players else can
see your hand. We have nothing against HFT, we just do not want to interact
with them. These firms are making it fundamentally more difficult for
institutional long-term investors to interact with the market and find
liquidity at fair prices and generates volumes not liquidity.
If we are executing high ADV stocks, then we normally look
at low-touch, electronic platform, DMA and algos, because we believe it can
give us a better access to a fragmented liquidity and ensure the required level
of anonymity.
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