Nea Capital Limited is a London-based financial services entity authorised and regulated by the Financial Services Authority focusing on alternative investment management using option strategies. Our main and registered office is at 53 Queens Gate Gardens, London SW7 5NF. We are a Limited Company registered in England No. 4014398 Our clients are Professional investors including institutional and intermediate/non-private investors (comprising high-net-worth-individuals, where applicable).

Our Philosophy: Since 1994, our proprietary path-dependent quantitative model has has been applied in various forms to the most liquid financial markets and since 2000 dynamically optimized for each of the major equity indices (S&P 500, FTSE 100 etc.)

‘We can not determine the direction, the extent or the timing of an equity market movement. We focus instead on the likely limits of market movement in either direction over any given period of time.’

Financial markets move within given ranges of stationary and non-stationary means for a high proportion of their trading time.

Diversified ‘option strategies’ can exploit such tendencies and provide a return which is both substantially in excess of Libor and uncorrelated with market movements unanticipated moves in markets outside ranges can be hedged, or their downside impact minimised by both diversifying and limiting the size of strategy exposures.

 

 
Investment Managers and Advisors

Nea Capital Limited was created in 2000 aiming to apply derivatives trading expertise in the asset management arena through a systematic modeling approach.

The Nea Capital team employs a highly quantitative approach to trading and investment management, and has built sizeable proprietary analytics libraries, enabling it to price very complex structures and to decompose and risk-manage them in terms of liquid risk instruments.

This ability, combined with extensive mathematical modelling creates a trading platform that complements the team members' extensive trading and risk-management experience, and aims to implement optimal risk-reward strategies.

 

 
 

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