Portfolio optimisation for a Fund of Hedge Funds (“FoHF”) has to address the asymmetric, non-Gaussian nature of the underlying returns distributions. Furthermore, the objective functions and constraints are not necessarily convex or even smooth. Therefore traditional portfolio optimisation...

In today's turbulent marketplace with unprecedented portfolio turnover, transition activity and drawdowns, one must identify and eliminate all sources of Sharpe ratio erosion. In this environment, trading costs and risks are significant contributors to this performance drag and avoiding them is...

None of the models that have been developed to determine the optimal strategic asset allocation (SAA) of stabilization sovereign wealth funds (SWFs) has received direct empirical validation, primarily because there is a lack of transparency regarding some of the key parameters that characterize...

Offshore assets present investors with an increased investment universe and additional opportunities for reward, but embedded exposure to exchange rates can result in additional risk. In this work, we consider a global equity portfolio of five equity indices (US, Japan, Europe, UK and Canada),...

GLOBAL FINANCE LIQUIDITY RISK REVISITED: Development of A Framework for Liquidity Assessment in Portfolio Construction Process: Presentations to the JP Morgan Global Head of Quant Research & Analytics and US Head of Portfolio Construction Teams:Presentations To: JP Morgan Global Head of Quant...

GLOBAL FINANCE LIQUIDITY RISK REVISITED: JP Morgan Alternative Assets Portfolio Liquidity Assessment Framework & Models: $500 Billion Fund of Funds: 17 Asset ClassesPresentations atJP Morgan World HQ, 270 Park Ave, Manhattan, NY, USAToJP Morgan Global Head of Quant Research & Analytics, JP...

In establishing the foundation of their investment process, global equity investors typically adopt a framework along geographic and/or industry dimensions. The chosen framework is then applied to the whole investment process including alpha generation, portfolio construction, and risk...

This study examines seven variables for Global Tactical Sector Allocation (GTSA) purposes. We construct 10 global sector indices over the extended sample period from 1970 to 2008. This enables us to test previously documented variables on a global basis and to examine whether they continued to...

We study the economic sources of stock-bond return comovement and its time variation using a dynamic factor model. We identify the economic factors employing structural and non-structural vector autoregressive models for economic state variables such as interest rates, (expected) inflation,...