Popular price discovery measures in literature are based on the reduced form shocks. This paper introduces structural counterparts of these existing methods, and investigates the relationships among six different price discovery methods. Different methods generally lead to different results....

This paper investigates the impact of macroeconomic news on the dynamics of interest rates and stock returns during "low" and "high" volatility periods. These periods are determined by estimating asset dynamics using a SWARCH process. Our results suggest that securities volatility is higher...

The purpose of this paper is to investigate which of the proposed parametric models for extracting risk-neutral density; among Black-Scholes Merton, mixture of two log-normals and generalized beta; give the best fit. The model that fits sample data better is used to describe different...

Following recent advances in the non-parametric realized volatility approach, we separately measure the discontinuous jump part of the quadratic variation process for individual stocks and incorporate it into heterogeneous autoregressive volatility models. We analyze the distributional...

We consider an extension of the Roll model where the trade direction, i.e. whether the trade is buyer or seller initiated, is multiplied by the dynamic quoted half-spread. Employing tick-by-tick maximum likelihood estimation on S&P 500 constituents, we find that the efficient price is quite...

The consideration of an averaging interval Δ of market trade time-series change the basic consumption-based asset pricing equation. The duration of Δ determines Taylor series of investor’s utility over current and future values of consumption. We present consumption at current and future...

The COVID-19 pandemic has caused severe disruption to economic activity worldwide. This note analyzes what happened to the aggregate U.S. stock market during this period, including implications for both short and long-horizon investors. We identify bull and bear market regimes including their...

Conventional measurements of risk premiums are biased if the estimation models are potentially misspecified and unstable. Say, factor interactions is one of the crucial omitted specifications that standard models cannot involve. Motivated by this argument, we propose an interpretable...

This study employs the recently developed Lagrange multiplier-based causality-in-variance test by Hafner and Herwartz (2006), to determine the volatility spillovers between interest rates and stock returns for the US, the euro area, the UK, and Japan. The investigation pays careful attention to...

We present a two-factor volatility model to study the impact of news arrival and trading volume on stock returns variance. The model can explicitly account for the association between volatility and volume, as well as the persistence in equity variance. Unlike the standard "Mixture of...