This paper examines the role of algorithmic trading in modern financial markets. Additionally, order types, characteristics, and special features of algorithmic trading are described under the lens provided by the large development of high frequency trading technology. Special order types are...

We examine the mechanism by which social media sentiment affects stock prices. Specifically, we assess the impact of Twitter feeds on stock returns at the intraday level. We find that an increase in buyer-initiated trades has a significantly positive price impact. The impact is stronger with an...

We examine whether brokers in order-driven markets possess an information advantage over their customers. We compare the price impact of proprietary trades to customer trades in Borsa Istanbul. We find an asymmetric effect: While proprietary buy trades lead to a significant price response...

The increased prevalence of algorithmic trading (AT) has an economically meaningful positive effect on the sensitivity of corporate investment to stock prices. The effect is pervasive in that the positive impact of AT on the investment-to-price sensitivity holds in even stocks with relatively...

The paper deals with the pattern of asset price dynamics as sequence of "bull markets" and "bear markets" and with stabilizing these" long swings" through replacing continuous asset trading with electronic auctions. First, the paper sketches the channels through which the "overshooting" of...

This paper analyzes the impact of intraday dynamic price limit rule - Limit Up Limit Down (LULD) on U.S. equity markets and high frequency trading (HFT) behavior around the price limit. Specifically, this paper examines the following five hypotheses: trading interference, volatility spillover,...

Although HFT has become a main feature of financial markets internationally, its impact on equity markets' functioning is still under discussion, since HFT can negatively affect market quality and stability. Regulatory measures recently adopted on both sides of the Atlantic to better control...

While attention is a predictor for digital asset prices, and jumps in Bitcoin prices are well-known, we know little about its alternatives. Studying high frequency crypto data gives us the unique possibility to confirm that cross market digital asset returns are driven by high frequency jumps...

This paper investigates increased liquidity provision by market makers resulting from their ability to reduce balance sheet encumbrance through the use of central counterparties (CCPs). The introduction of the Basel III leverage rule constitutes a shock to market makers’ balance sheets and...