The trading of securities on multiple markets raises the question of each market's share in the discovery of the informationally efficient price. We exploit salient distributional features of multivariate financial price processes to uniquely determine these contributions. Thereby we resolve the...

This paper addresses and resolves the problems caused by microstructure effects when measuring the relative importance of home and U.S. market in the price discovery process of internationally cross listed stocks. In order to avoid large bounds for information shares, previous studies applying...

This paper addresses and resolves the issue of microstructure noise when measuring the relative importance of home and U.S. market in the price discovery process of Canadian interlisted stocks. In order to avoid large bounds for information shares, previous studies applying the Cholesky...

After the implementation of Regulation NMS in 2007, the U.S. equity market became highly fragmented. The traditional exchanges, in particular the New York Stock Exchange (NYSE), lost substantial trading volume to the off-exchange market. We investigate the extent to which this development has...

We implement the Fama-French five-factor model for the German market using recent monthly data from 2002 to 2017. We construct the five factors associated with the market, size, value, profitability, and investment for the CDAX constituents and examine to which extent the five-factor model...

We analyze the phenomenon of zombification in Europe and show that monetary policy alone is not its only driver. Concurring phenomena explain zombie and distressed firms’ prevalence. Using Compustat data on public firms, we find that a rise in short-term interest rates is associated with a...

This paper proposes a new measure for contributions to price discovery based on Russell's (1999) autoregressive conditional intensity model. While previous studies rely on equally spaced high frequency data, we use the information conveyed by quote revision intensities to determine a market's...

This paper proposes a new information share for price discovery based on Russell's (1999) autoregressive conditional intensity model. While previous studies rely on equally spaced high frequency data, we use the information conveyed by trade intensities to determine a market's contribution to...

We implement the VIX methodology on intraday data of a large set of individual equity options. We thereby consider approaches based on monthly option contracts, weekly option contracts, and a cubic spline interpolation approach. We are able to derive reliable model-free implied volatility...