This article tries to solve the portfolio inflation hedging problem by introducing a new class of dynamic trading strategies derived from classic portfolio insurance techniques adapted to the real world. These strategies aim at yielding higher returns on a risk-adjusted basis than regular...

Recent academic studies have shown that since the mid-nineties, the pass-through of exogenous oil shocks into headline inflation has been increasing while the pass through into core inflation seems to have ceased. This paper explores the implications in terms of commodity allocation for...

This article tries to solve the portfolio inflation hedging problem by introducing a new class of dynamic trading strategies derived from classic portfolio insurance techniques adapted to the real world. These strategies aim at yielding higher returns on a risk-adjusted basis than regular...

This paper uses wavelet theory to propose a frequency domain nonparametric and tuning parameter free family of unit root tests indexed by the fractional parameter d. The proposed test exploits the wavelet power spectrum of the observed series and its fractional partial sum to construct a test of...

Headline inflation in most industrialized countries, the US in particular, has been shown to be mean reverting to core inflation in the medium term, whilst at the same time the pass-through of exogenous commodity price shocks from the headline to the core has dramatically gone down as a result...

This article addresses unit root testing on regulated series through the variance ratio (VR) statistic of Nielsen (2009). The asymptotic distribution of the regulated VR statistic is developed with and without OLS detrending. Results of Cavaliere and Xu (2011) are extended by also developing the...

I develop a new method for approximating and estimating nonlinear, non-Gaussian state space models. I show that any such model can be well approximated by a discrete-state Markov process and estimated using techniques developed in Hamilton (1989). Through Monte Carlo simulations, I demonstrate...

Should long-term investors account for time-variation in model parameters? We develop a time-varying Vector Autoregressive model that can handle time-variation in intercepts, slopes, volatility and correlation, the leverage effect in volatility and fat tails. Long-term investors should take...

Blockchain offers the opportunity to use the transaction graph for financial governance, yet properties of this graph are understudied. One key question in this direction is the extent to which the transaction graph can serve as an early-warning indicator for large financial losses. In this...