When analysing the volatility related to high frequency financial data, mostly non-parametric approaches based on realised or bipower variation are applied. This article instead starts from a continuous time diffusion model and derives a parametric analog at high frequency for it, allowing...

The seminal work of Fudenberg and Tirole [Preemption and Rent Equalization in the Adoption of New Technology, Rev. Econ. Stud., 1985] on how preemption erodes the value of an option to wait raises general questions about the relation between models in discrete and continuous time and thus about...

We divide hedging methods between single-period and multi-period. After reviewing some well-known hedging algorithms, two new procedures are introduced, called Dickey-Fuller Optimal (DFO), Mini-Max Subset Correlation (MMSC). The former is a multi-period, cointegration-based hedging method that...

An appropriate metric for the success of an algorithm to forecast the variance of the rate of return on a capital asset could be the incremental profit from substituting it for the next best alternative. We propose a framework to assess incremental profits for competing algorithms to forecast...

We study forward curves formed from commodity futures prices listed on the Standard and Poor's-Goldman Sachs Commodities Index (S&P GSCI) using recently developed tools in functional time series analysis. Functional tests for stationarity and serial correlation suggest that log-differenced...

This paper proposes and estimates dynamic hedge ratios using a Vector Error Correction Markov Switching Multifractal (VEC-MSM) model, and examines its hedging effectiveness using conditional VaR coverage. The VEC-MSM model introduces an error correction mechanism in the mean equation that...