We extend the classical "martingale-plus-noise" model for high-frequency prices by an error correction mechanism originating from prevailing mispricing. The speed of price reversal is a natural measure for informational efficiency. The strength of the price reversal relative to the...

The paper examines the volatility predictive ability of the CBOE crude oil volatility index (OVX), GARCH and Stochastic Volatility Models in the crude oil market. Specifically, the dynamics of two major crude oil pricing benchmarks - Brent in Europe and WTI in America are compared. OVX index is...

This online appendix to "Violations of Uncovered Interest Rate Parity and International Exchange Rate Dependences" includes the copula density function for the Clayton-Frank-Gumbel mixture copula and the details for the likelihood based estimation of the multivariate currency basket log returns....

We find that exogenous structural shocks caused by terrorist attacks, wars, political turmoil and gold market specific events have a strong role to play in the analysis of dynamic relationships between gold and stock market returns. Our main finding is that the interaction between the gold...

Testing for constant expected returns and forecasting future returns necessitate the information beyond a single predictor. We consider the predictive regression model with multiple predictors which are potentially strongly persistent and cointegrated. Instrumental variables based tests for...

Examination over multiple horizons has been a routine in testing asset return predictability in finance and macroeconomics. In a simple predictive regression model, we find that the popular scaled test for multiple-horizon predictability has zero null rejection rate if the forecast horizon...

Motivated by the empirical evidence of high-frequency lead-lag effects and cross-asset linkages, we introduce a multi-asset price formation model which generalizes standard univariate microstructure models of lagged price adjustment. Econometric inference on such model provides: (i) a unified...

Assets are traded on many places that are remotely situated. An outstanding question is how those places individually contribute to price discovery. We provide way to study this problem in the context of high frequency data. We propose a measure evaluating the permanent impact of a shock on a...

I propose a new measure of price discovery, which I will refer to as the Independent Component based Information Share (IC-IS). This measure constitutes a variant of the widespread Information Share, with the main difference being it does not suffer the same identification issues. Under the...