Using large-cap exchange-traded funds (ETFs), this paper provides guidance on enhancing the performance of long-only factor portfolios through sector-based blending. The blending method builds ETF portfolios that optimize the factor exposure of sectors. We use the original factors of Fama and...

The recent turmoil in the financial markets has highlighted that no asset is really free of risk. Indeed, even the supposedly safest assets, namely sovereign bonds issued by developed countries, are exposed to default risk. Despite this observation most mean-variance efficiency tests are...

Using large-cap exchange-traded funds (ETFs), this paper provides guidance on enhancing the performance of long-only factor portfolios through sector-based blending. The blending method builds ETF portfolios that optimize the factor exposure of sectors. We use the original factors of Fama and...

We study the introduction of robo-advising on a large representative sample of Employee Saving Plans. Differently from many services that fully automate portfolio decisions, our robo-advisor proposes investment and rebalancing strategies, leaving investors free to follow or ignore them. We focus...

The exceptional rise in government deficits following the subprime crisis, the recent commodity price spikes and the increase in inflation volatility have revived the debate on medium to long-term resurgence of inflation. Using a vector-autoregressive model, this paper investigates the...

This paper addresses management of sovereign wealth from the perspective of the theory of contingent claims. Starting with the sovereign's balance sheet, we frame sovereign fund management as an asset-liability management (ALM) problem, covering all public entities and taking explicit account of...

Machine learning algorithms dedicated to financial time series forecasting have gained a lot of interest. But choosing between several algorithms can be challenging, as their estimation accuracy may be unstable over time. Online aggregation of experts combine the forecasts of a finite set of...

Inflation shocks are one of the pitfalls of developing economies and are usually difficult to hedge. This paper examines the optimal strategic asset allocation for a Brazilian investor seeking to hedge inflation risk at different horizons, ranging from one to 30 years. Using a...

Using a large database of US institutional investors' trades in the equity market, this paper explores the effect of simultaneous executions on trading cost. We design a Bayesian network modelling the inter-dependencies between investors' transaction costs, stock characteristics (bid-ask spread,...