We cross-sectionally analyze the presence of aggregated hidden depth and trade volume in the S&P 500 and identify its key determinants. We find that the spread is the main predictor for a stock's hidden dimension, both in terms of traded and posted liquidity. Our findings moreover suggest that...

The purpose of this paper is to provide that the explanation of excessive volatility can be only done through an attentive description of the psychological aspects of the investors. Our interest is carried in particular to the overconfidence bias. Our objective in this study is to identify...

This article documents how the changing composition of U.S. publicly traded firms has prompted a decline in the long-run mean of the aggregate dividend-price ratio, most notably since the 1970s. Adjusting the dividend-price ratio for such changes resolves several issues with respect to the...

We develop a model where a public limit order book (PLB) competes with a Sub-Penny Venue, which allows Sub-Penny Trading (SPT). SPT occurs when a trader undercuts orders in the PLB by less than one penny, a practice we call queue-jumping (QJ). QJ is higher for NASDAQ than for NYSE stocks. We...

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...

In March 2013, Lululemon Athletica removed its inventory of women's black yoga pants from its stores because recent shipments of the product were “too sheer.” For a company reliant on a reputation for quality, the news was devastating. Worse, the recall set off a series of PR related...

In this work, I study the impact of high-frequency trading (HFT) on price discovery and volatility in the Bund futures market. Using a new dataset based on microseconds, the focus of the study is on the reaction of high-frequency traders (HFTs) to major macroeconomic news events. I show that...

This paper proposes a theoretical analysis on the impacts of using a suboptimal information set on the three main components used in asset pricing, namely the risk physical and neutral measures and the relative pricing kernel.The analysis is carried out by means of a portfolio optimization...

Information processing filters out the noise in data but it takes time. Hence, low precision signals are available before high precision signals. We analyze how this feature affects asset price informativeness when investors can acquire signals of increasing precision over time about the payoff...

Using bottom-up information from corporate financial statements, we examine the relation between aggregate investment, future equity returns, and investor sentiment. Consistent with the business cycle literature, corporate investments peak during periods of positive sentiment, yet these periods...