This paper explores the impact of bank transparency on market efficiency by comparing banks that disclose supervisory capital requirements to those that remain opaque. Due to the informational content of supervisory capital requirements for the market this opacity might hinder market efficiency....

This paper investigates the relationship among transaction taxes, high-frequency trading (HFT), and market quality. We use the agent-based modeling (ABM) approach to dynamically assess the impact of transaction taxes on market quality with and without high-frequency trading. Preliminary tests...

Information is incorporated into stock prices when investors trade; consequently, prices respond only to the information investors pay attention to. Because market efficiency requires rapid information dissemination and fully informative prices, attention necessarily affects the level of market...

This paper explores the impact of bank transparency on market efficiency by comparing banks that disclose supervisory capital requirements to those that remain opaque. Due to the informational content of supervisory capital requirements for the market this opacity might hinder market efficiency....

Comparing the Efficient Market Hypothesis and Behavioral Finance, the Adaptive Markets Hypothesis (AMH), which identifies the extremes of these two hypotheses and adapts them to each other, argues that calendar anomalies can coexist, but also focuses on how investor behavior reacts to changing...

This paper examines the impact of complex yet precise language, particularly financial jargon, on information dissemination and ultimately market efficiency. As a natural laboratory, we analyze the information exchanged during earnings conference calls, where we instrument jargon with the Plain...

This research employs Multifractal Detrended Fluctuation Analysis (MFDFA) to investigate multifractal properties in financial variables, including Bitcoin prices and economic indicators. Spanning 2019-2022, the analysis reveals multifractal scaling not only in Bitcoin prices, but also in...

Since 2021, Kalshi has operated as the only federally licensed prediction market in the United States. Using transaction-level data on over 300,000 contracts, we provide the first systematic evidence on its pricing. Kalshi's contract prices are informative and improve in accuracy as markets...

This paper investigates the speed of price discovery when information becomes publicly available but requires costly processing to become common knowledge. We exploit the unique institutional setting of hacks on decentralized finance (DeFi) protocols. Public blockchain data provides the precise...

Heterogeneous beliefs among market participants can lead to questionable speculative trading that goes beyond any risk-sharing motives. We demonstrate that such unwarranted betting behavior in market equilibrium can be mitigated by introducing nonlinear pricing for ambiguous contracts, without...

We argue that capital misallocation arises endogenously due to incomplete consumption insurance. We model risk-averse entrepreneurs with heterogeneous productivity who face idiosyncratic output shocks and choose how much capital to rent before uncertainty unfolds. We show that incomplete markets...

While sports betting markets share similarities with traditional financial markets, they are more accessible for empirical research thanks to availability of high-quality data, straightforward betting procedures, and the finite duration of events. As a result, they are often analyzed for market...

This paper aims to deliver a comprehensive analysis of the theories and concepts that have formed the foundational link between two separate academic fields: finance and economics, resulting in the emergent field of financial economics. The main schools of thought can be divided, with a...

Markets are information aggregators. But how do they incorporate new data into their pricing? We examine the response of prediction markets to a novel information shock in a quasi-natural experiment: How did the absence announcements of elite soccer players influence the betting odds of affected...

The capital markets are sensitive to geopolitical events. It is important to provide evidence of reactions to specific geopolitical events in order to identify general patterns and effective risk management strategies. This study follows the event study approach to assess the reactions of...

The financial valuation of professional football players is influenced by multiple factors that evolve throughout a player's career. This study examines these determinants using Gradient Boosting Machine Learning models, segmented by three age categories and three playing positions to capture...

The Covid-19 pandemic profoundly disrupted global economies and financial systems, alte-ring investor behavior and challenging traditional market dynamics. Among these disruptions, calendar anomalies, which challenge the efficient market hypothesis, offer a unique lens to assess market...

Most financial assets are digital today. Tomorrow, they may be tokenized. Tokenization implies recording and transferring assets on a widely shared and trusted digital ledger that can be programmed. Interest in tokenization is strong and experiments abound, but what are the consequences of this...

This paper investigates the time-varying efficiency of Western European stock markets and examines how macroeconomic events defined as endogenous and exogenous shocks influence the degree of efficiency by either long-range dependence or mean reverting. We apply a rolling-window detrended...

This study provides a comprehensive assessment and synthesis of the literature on short-selling. It performs a lexicometric analysis, providing a quantitative review of 1093 peer-reviewed journal articles to identify and illustrate the main themes in short-selling research. Almost half the...