The promotion of both market fairness and efficiency has long been a goal of securities market regulators worldwide. Accelerated digital disruption and abusive trading behaviors, such as the GameStop mania, prompt regulatory changes. It is unclear how this "democratization" of trading power...

This paper studies whether and why algorithmic traders exhibit one of the most broadlydocumented behavioral puzzles - the disposition effect. We use trade data from the NASDAQ Copenhagen Stock Exchange merged with the weather data. We find that on average, the disposition effect for human...

We examine the soundness of high-frequency trading (HFT) proxies that are widely defined on the limit order book (LOB) information. We use a unique TRTH (Thomson Reuters Tick History) millisecond time-stamped intraday trades and quotes dataset enriched with 10 levels of LOB depth messages for...

One of the challenges that economic experiments that use artificial financial markets to explore high-frequency trading face, is the development of a sufficiently sophisticated software. Moreover, it is not trivial to adequately communicate the complex financial market rules to non-experts. The...

Despite the growing adoption of decentralized exchanges, little is known about their market quality. Using a comprehensive dataset, we compare decentralized blockchain-based venues (DEXs) to centralized crypto exchanges (CEXs) assessing two aspects of market quality: price efficiency and market...

We address two important recent trends in equity markets---high-frequency trading (HFT) and trade fragmentation, in this paper and join the ongoing debate regarding their social benefits. We take the European equity market as a laboratory as it has been confronting the issue since its adoption...

Jumps and cojumps are examined in the covariance matrices of high-frequency financial markets. We propose a new method for identifying intraday volatility jumps in the diffusive covariance matrix of asset pairs. Our method avoids model misspecification errors, is able to identify multiple...