Using a unique data set that contains the complete ownership structure of the German stock market, we study the momentum and contrarian trading of different investor groups. Foreign investors and financial institutions, and especially mutual funds, are momentum traders, whereas private...

We investigate the impact of product market advertising on investor attention and financial market outcomes. Using daily advertising data allows us to identify short-term effects of advertising. We measure daily investor attention based the company's number of Wikipedia page views. We show that...

Utilizing subsets of trades in which dealers act purely as agents, purely as market-makers, and as both, we decompose dealer spreads in U.S. corporate bond OTC markets into components arising from: 1) dealers' marketmaking role, and 2) their role as agents for their non-dealer customers. We find...

In light of the recently passed 2010 Dodd-Frank Act, we assess the effect of margin changes on prices, the risk-sharing between speculators and hedgers, and the price stability of 20 commodity futures markets. We find that margin increases decrease the rate at which prices change, yet they...

This paper investigates high-frequency (HF) market and limit orders in the U.S. Treasury market around major macroeconomic news announcements. BrokerTec introduced i-Cross at the end of 2007 and we use this exogenous event as an instrument to analyze the impact of HF activities on liquidity and...

Der diesjährige Nobelpreis für Wirtschaftswissenschaften ist an drei Forscher "für ihre empirische Analyse von Vermögenspreisen" verliehen worden. Zwei der Laureaten haben ganz unterschiedliche Sichtweisen auf die Funktionsfähigkeit von Finanzmärkten: Während Fama die...

Mostly used estimators of Hurst exponent for detection of long-range dependence are biased by presence of short-range dependence in the underlying time series. We present confidence intervals estimates for rescaled range and modified rescaled range. We show that the difference in expected values...

The purpose of this paper is to model differential rates over residual information sets, so as to shape transactional algebras into operational grounds. Firstly, simple differential rates over residual information sets are introduced by taking advantage of finite algebras of sets. Secondly,...

Although the standard trading arbitrage model provides with simple settings and adjustment mechanisms so as to take profit whenever an arbitrage opportunity comes up, empirical evidence has been piling up showing that this point of view suffers from many downsides, leaving distinctive issues...

This paper considers spot variance path estimation from datasets of intraday high frequency asset prices in the presence of diurnal variance patterns, jumps, leverage effects and microstructure noise. We rely on parametric and nonparametric methods. The estimated spot variance path can be used...