Using a market model and principal component analysis, we investigate the existence of common effects in order imbalance in the Borsa Istanbul's option market. Accordingly, we find the presence of commonality in order imbalance for call options and an even more dominant presence in put options....

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...

A highly significant feature of the stock market is its efficiency, which is associated with information efficiency. However, the liquidity of stock on the market is its essential characteristic. The inflow of information in highly liquid markets allows for the maintenance of high information...

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...

Most technical trading strategies use the official closing price for analysis. But what is the effect when the official closing price is subject to market manipulation? This paper answers this question by testing the difference of profitabilities between using the official closing price and the...

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...

This paper introduces a new algorithm for exploiting time-series predictability-based patterns to obtain an abnormal return, or alpha, with respect to a given benchmark asset pricing model. The algorithm proposes a deterministic daily market timing strategy that decides between being fully...

This study investigates the nexus of stock liquidity and trade-credit policies in China from 2002 to 2017. The estimates are robust to alternative proxies, various fixed-effects, and the exogenous impact of Chinese split share structure reforms (SSSR) 2005-06 is investigated through the...

We study liquidity provision by competitive high-frequency trading firms (HFTs) in a dynamic trading model with private information. Liquidity providers face adverse selection risk from trading with privately informed investors and from trading with other HFTs that engage in latency arbitrage...

It is a widely known fact that the intraday seasonality of trading intervals for financial transactions such as stocks is short at the beginning of business hours and long in the middle of the day. In this paper, we extend the stochastic conditional duration (SCD) model to capture the pattern of...

Prior research has established that the presence of designated market makers (DMMs) in an electronic open limit order book increases liquidity. We analyze whether the presence of additional DMMs results in a further improvement in liquidity. Using data from Deutsche B ̈orse’s Xetra system we...

We introduce a new mechanism for call auctions which are widely used in stock exchanges. Our unique design incorporates contingent claims (buy stock A, if selling stock B) into the price discovery process. With our proposed mechanism, we show that higher liquidity during the call auctions is...

The present paper is focused on the solution of optimal control problems such as optimal acquisition, optimal liquidation, and market making in relation to the high-frequency trading market. We have modeled optimal control problems with the price approximated by the diffusion process for the...

It is an open secret that most investment funds actually underperform the market. Yet, millions of individual investors fare even worse, barely treading water. Algorithmic trading is now so common, it accounts for over 80% of all trades and is the domain of professionals. Can it also help the...

The recent emergence of COVID-19 and the subsequent short-selling restriction (SSR) imposed on some equity markets provide us with a unique framework to analyze the effects of this kind of measure on market quality in the context of increasingly automated equity markets. We contribute to the...

Intraday analyses of volatility-volume relation by decomposing the volume into number of trades and average trade size is measured in Borsa Istanbul equity market. Results confirm that the number of trades has more explanatory power over the short-term volatility comparably parallel with the...

The annual income earned plays a very important role in stock investing as it influences several dimensions of the investment process. The main goal of this research was to examine the role of the annual income earned by the secondary equity investors in the decision- making process. The...

In recent years, Bitcoin has received substantial attention as potentially high-earning investment. However, its volatile price movement exhibits great financial risks. Therefore, how to accurately predict and capture changing trends in the Bitcoin market is of substantial importance to...

We characterize the demand function of multi-national corporations in foreign exchange (FX) markets and assess its impact on equilibrium asset prices. Our empirical findings suggest that corporate order flow does not consistently predict future returns, it is highly auto-correlated and, in...

I consider limit order book events that are likely to contribute to price discovery in the foreign exchange market, specifically, limit orders and transactions (market orders). The variance decomposition shows that improving orders and worsening cancels, both limit order events, substantially...

This study examines the impact of communication on investors' trading frequency based on a unique dataset drawn from a Chinese social trading platform. We find robust evidence that real-account portfolio owners on the platform trade more frequently under the influence of the comments posted by...

Academic research has identified several factors that affect price movements; however, the scenario changes abruptly in the case of very short time price changes (VSTPC). This topic is not specifically examined in the existing literature; nonetheless, the behavior of the market microstructure is...

We investigate the effect of ETF ownership on stock market anomalies and market efficiency. We find that low ETF ownership stocks exhibit higher returns, greater Sharpe ratios, and highly significant alphas in comparison to high ETF ownership stocks. We show that high ETF ownership stocks...

Designated market makers (DMMs) are contractually obligated to increase liquidity provision when trading volume breaches a floor. Using this feature in a regression discontinuity design, we show that increased DMM participation facilitates price informativeness with respect to earnings news....

We present a learning algorithm based on simulation and neural networks to solve a stochastic optimal control problem with a large state space using dynamic programming. The problem consists in liquidating a given number of shares of a stock through a limit order book (LOB). The state space...

Using 2010-2019 stock-level data in US, we examine whether and how retail investors trade on environmental, social, and government (ESG) information. Although retail investors trade more on ESG disclosed stocks than no-disclosed stocks, ESG disclosure information does not help retail investors...