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Are Algorithmic Trades Informed An Empirical Analysis Of Algorithmic Trading Around Earnings Announcements
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Book Synopsis Are Algorithmic Trades Informed? - An Empirical Analysis of Algorithmic Trading Around Earnings Announcements by : Alex Frino
Download or read book Are Algorithmic Trades Informed? - An Empirical Analysis of Algorithmic Trading Around Earnings Announcements written by Alex Frino and published by . This book was released on 2015 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study examines the impact of corporate earnings announcements on trading activity and speed of price adjustment, analyzing algorithmic and non-algorithmic trades during the immediate period pre- and post- corporate earnings announcements. We confirm that algorithms react faster and more correctly to announcements than non-algorithmic traders. During the initial surge in trading activity in the first 90 seconds after the announcement, algorithms time their trades better than non-algorithmic traders, hence algorithms tend to be profitable, while non-algorithmic traders make losing trades over the same time period. During the pre announcement period, non-algorithmic volume imbalance leads algorithmic volume imbalance, however, in the post announcement period, the direction of the lead-lag relationship is exactly reversed. Our results suggest that as algorithms are the fastest traders, their trading accelerates the information incorporation process.
Book Synopsis Essays on Algorithmic Trading by : Markus Gsell
Download or read book Essays on Algorithmic Trading written by Markus Gsell and published by Columbia University Press. This book was released on 2010-07-09 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technological innovations are altering the traditional value chain in securities trading. Hitherto the order handling, i.e. the appropriate implementation of a general trading decision into particular orders, has been a core competence of brokers. Labeled as Algorithmic Trading, the automation of this task recently found its way both into the brokers' portfolio of service offerings as well as to their customers' trading desks. The software performing the order handling thereby constantly monitors the market(s) in real-time and further evaluates historical data to dynamically determine appropriate points in time for trading. Within only a few years, this technology propagated itself among market participants along the entire value chain and has nowadays gained a significant market share on securities markets worldwide. Surprisingly, there has been only little research analyzing the impact of this special type of trading on markets. Markus Gsell's book aims at closing this gap by analyzing the drivers for adoption of this technology, the impact the application of this technology has on markets on a macro level, i.e. how the market outcome is affected, as well as on a micro level, i.e. how the exhibited trading behavior of these automated traders differs from normal traders' behavior.
Book Synopsis An Empirical Analysis of the Effects of Online Trading on Investor Reactions to Earnings Announcements by : Anwer S. Ahmed
Download or read book An Empirical Analysis of the Effects of Online Trading on Investor Reactions to Earnings Announcements written by Anwer S. Ahmed and published by . This book was released on 2002 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study provides evidence regarding the effects of online trading on stock market reactions to quarterly earnings announcements. We test for differences in stock price and volume reactions to quarterly earnings announcements between a period with a significant amount of online trading (1996-1999) and a period without online trading (1992-1995). We conjecture that online trading has increased the proportion of naive investors in the market. Based on noisy rational expectations models of trade, we predict that this will result in larger stock price and trading volume reactions to earnings announcements. We find strong evidence in support of these predictions. The stock price results suggest that the advent of online trading has decreased average prior precision and the trading volume results suggest that online trading has increased differential belief revisions around earnings announcements. An analysis of the relation between volume reactions and price reactions in both periods suggests that the increase in differential belief revisions is primarily due to an increase in the differential interpretation of earnings announcements in the online trading period. Our findings are relevant for assessing the validity of concerns about online trading expressed by regulators and the validity of theoretical models of trade with asymmetrically informed investors.
Book Synopsis Investors' Trade Size and Trading Responses Around Earnings Announcements by : Neil Bhattacharya
Download or read book Investors' Trade Size and Trading Responses Around Earnings Announcements written by Neil Bhattacharya and published by . This book was released on 2013 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Prior research suggests that the earnings expectations of a segment of the market can be described by the seasonal random-walk model. Prior research also provides evidence that less wealthy and less informed investors tend to make smaller trades (small traders) than wealthier and better informed investors (large traders).I hypothesize that it is the earnings expectations of small traders that are associated with predictions from the seasonal random-walk model. By directly analyzing the trading activities of small and large traders, this study provides evidence that is largely consistent with the hypotheses.Specifically, small traders' trading response around earnings announcements is increasing in the magnitude of seasonal random-walk forecast errors even after controlling for absolute analyst forecast errors, contemporaneous price changes, and market-wide trading. Supplementary analysis reveals that this effect is largely confined to firms with relatively impoverished information environments (i.e., smaller firms and firms with little to moderate analyst following).
Book Synopsis An Introduction to Algorithmic Trading by : Edward Leshik
Download or read book An Introduction to Algorithmic Trading written by Edward Leshik and published by John Wiley & Sons. This book was released on 2011-09-19 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interest in algorithmic trading is growing massively – it’s cheaper, faster and better to control than standard trading, it enables you to ‘pre-think’ the market, executing complex math in real time and take the required decisions based on the strategy defined. We are no longer limited by human ‘bandwidth’. The cost alone (estimated at 6 cents per share manual, 1 cent per share algorithmic) is a sufficient driver to power the growth of the industry. According to consultant firm, Aite Group LLC, high frequency trading firms alone account for 73% of all US equity trading volume, despite only representing approximately 2% of the total firms operating in the US markets. Algorithmic trading is becoming the industry lifeblood. But it is a secretive industry with few willing to share the secrets of their success. The book begins with a step-by-step guide to algorithmic trading, demystifying this complex subject and providing readers with a specific and usable algorithmic trading knowledge. It provides background information leading to more advanced work by outlining the current trading algorithms, the basics of their design, what they are, how they work, how they are used, their strengths, their weaknesses, where we are now and where we are going. The book then goes on to demonstrate a selection of detailed algorithms including their implementation in the markets. Using actual algorithms that have been used in live trading readers have access to real time trading functionality and can use the never before seen algorithms to trade their own accounts. The markets are complex adaptive systems exhibiting unpredictable behaviour. As the markets evolve algorithmic designers need to be constantly aware of any changes that may impact their work, so for the more adventurous reader there is also a section on how to design trading algorithms. All examples and algorithms are demonstrated in Excel on the accompanying CD ROM, including actual algorithmic examples which have been used in live trading.
Book Synopsis An Empirical Analysis of the Effects of Online Trading on Stock Price and Trading Volume Reactions to Earnings Announcements by : Anwer S. Ahmed
Download or read book An Empirical Analysis of the Effects of Online Trading on Stock Price and Trading Volume Reactions to Earnings Announcements written by Anwer S. Ahmed and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study provides evidence on the effects of online trading on stock price and trading volume reactions to quarterly earnings announcements. We test for differences in stock price and volume reactions to quarterly earnings announcements between a period with a significant amount of online trading (1996-1999) and a period without online trading (1992-1995). We conjecture that online trading has increased the proportion of naive investors in the market. We predict that this will result in (i) a decrease in the average precision of investor information prior to earnings announcements implying higher ERCs, (ii) an increase in differential interpretation of earnings leading to higher trading volume reactions that are unrelated to price change, and (iii) a decrease in differential prior precision leading to a decrease in the association between trading volume and absolute price change. We find evidence consistent with all three predictions. Our findings are relevant for assessing the validity of concerns about online trading expressed by regulators and the validity of theoretical models of trade with asymmetrically informed investors.
Book Synopsis Algorithmic and High-Frequency Trading by : Álvaro Cartea
Download or read book Algorithmic and High-Frequency Trading written by Álvaro Cartea and published by Cambridge University Press. This book was released on 2015-08-06 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: The design of trading algorithms requires sophisticated mathematical models backed up by reliable data. In this textbook, the authors develop models for algorithmic trading in contexts such as executing large orders, market making, targeting VWAP and other schedules, trading pairs or collection of assets, and executing in dark pools. These models are grounded on how the exchanges work, whether the algorithm is trading with better informed traders (adverse selection), and the type of information available to market participants at both ultra-high and low frequency. Algorithmic and High-Frequency Trading is the first book that combines sophisticated mathematical modelling, empirical facts and financial economics, taking the reader from basic ideas to cutting-edge research and practice. If you need to understand how modern electronic markets operate, what information provides a trading edge, and how other market participants may affect the profitability of the algorithms, then this is the book for you.
Author :Patricia M. Dechow Publisher :Research Foundation of the Institute of Chartered Financial Analysts ISBN 13 :9780943205687 Total Pages :152 pages Book Rating :4.2/5 (56 download)
Book Synopsis Earnings Quality by : Patricia M. Dechow
Download or read book Earnings Quality written by Patricia M. Dechow and published by Research Foundation of the Institute of Chartered Financial Analysts. This book was released on 2004-01-01 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Developing Algorithmic Trading Strategies and Empirical Analysis with High Frequency Trading Data by : Jeonghoe Lee
Download or read book Developing Algorithmic Trading Strategies and Empirical Analysis with High Frequency Trading Data written by Jeonghoe Lee and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Informed Trading Behavior of Institutions and Individuals Around Earnings Announcements by : Yu-Chen Wei
Download or read book Informed Trading Behavior of Institutions and Individuals Around Earnings Announcements written by Yu-Chen Wei and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study constructs the institutional- and individual-based probability of informed trading (PIN) by adjusting Easley, Hvidkjaer and O'Hara (2002) and investigates the impact of the informed trading behaviors of institutions and individuals on the post-announcement drift around the earnings announcement. The differences between this study and the previous literatures lie in that the investor types of informed traders are distinguished as institutions and individuals. Besides, the trading date effect is considered to examine the informed trading behaviors. The findings show that the informed trading behaviors of institutions and individuals can be distinguished. If there are informed traders involves in the stocks, the cumulative abnormal returns after the earnings announcement may be higher than the other stocks with no informed traders. Some individuals may possess relevant information that may prompt them to trade prior to or after the earnings announcement. The findings of the study may contribute to the government regulations and portfolio selections.
Book Synopsis The Signal Quality of Earnings Announcements by : Lu Xie
Download or read book The Signal Quality of Earnings Announcements written by Lu Xie and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This study examines the revealed preference of informed traders to infer the extent to which earnings announcements are informative of subsequent stock price responses. From 2011 to 2015, a cartel of sophisticated traders illegally obtained early access to firm press releases prior to publication and traded over 1,000 earnings announcements. I study their constrained profit maximization: which earnings announcements they chose to trade vs. which ones they forwent trading. Consistent with theory, these traders targeted more liquid earnings announcements with larger subsequent stock price movement. Despite earning large profits overall, the informed traders enjoyed only mixed success in identifying the biggest profit opportunities. Controlling for liquidity differences, only 31% of their trades were in the most extreme announcement period return deciles. I model the informed traders' tradeoff between liquidity and expected returns. From this model, I recover an average signal-to-noise ratio of 0.4. I further explore two potential economic sources of this noise: (i) ambiguous market expectations of earnings announcements and (ii) heterogeneous interpretations of earnings information by the marginal investor. Empirically, I document that the informed traders avoided noisier earnings announcements as measured by both sources of noise.
Download or read book Quantitative Trading written by Xin Guo and published by CRC Press. This book was released on 2017-01-06 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first part of this book discusses institutions and mechanisms of algorithmic trading, market microstructure, high-frequency data and stylized facts, time and event aggregation, order book dynamics, trading strategies and algorithms, transaction costs, market impact and execution strategies, risk analysis, and management. The second part covers market impact models, network models, multi-asset trading, machine learning techniques, and nonlinear filtering. The third part discusses electronic market making, liquidity, systemic risk, recent developments and debates on the subject.
Download or read book Disrupting Finance written by Theo Lynn and published by Springer. This book was released on 2018-12-06 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access Pivot demonstrates how a variety of technologies act as innovation catalysts within the banking and financial services sector. Traditional banks and financial services are under increasing competition from global IT companies such as Google, Apple, Amazon and PayPal whilst facing pressure from investors to reduce costs, increase agility and improve customer retention. Technologies such as blockchain, cloud computing, mobile technologies, big data analytics and social media therefore have perhaps more potential in this industry and area of business than any other. This book defines a fintech ecosystem for the 21st century, providing a state-of-the art review of current literature, suggesting avenues for new research and offering perspectives from business, technology and industry.
Book Synopsis Is Algorithmic Trading Distinctively Different? Assessing its Behavior in Comparison to Informed, Momentum and Noise Traders by : Markus Gsell
Download or read book Is Algorithmic Trading Distinctively Different? Assessing its Behavior in Comparison to Informed, Momentum and Noise Traders written by Markus Gsell and published by . This book was released on 2009 with total page 25 pages. Available in PDF, EPUB and Kindle. Book excerpt: The concept of Algorithmic Trading emulates via electronic means a broker s core competency of slicing a big order into a multiplicity of smaller orders and of timing these orders to minimize market impact. Based on mathematical models and considering historical and real-time market data, algorithms determine ex ante or continuously the optimum size of the (next) slice and its time of submission to the market. Algorithmic trading models are gaining market share worldwide. As this might impact the order flow on the markets it is self-evident to investigate whether algorithmic trading can be categorized in the traditional way or whether it represents a new category of stylized trader. The paper assesses the upcoming sophisticated trading strategy of algorithmic trading against the background of the traditional categories of stylized traders in the literature, i.e. informed traders, momentum traders and noise traders. As a conclusion, in order to assess the of impact algorithmic trading on financial markets, the set-up of a new simulation model incorporating agents representing the specific properties and the trading behavior of algorithmic trading is proposed.
Book Synopsis The Effect of Earnings Announcements on Trading Outcomes for Different Investor Classes by : James Dale Vincent
Download or read book The Effect of Earnings Announcements on Trading Outcomes for Different Investor Classes written by James Dale Vincent and published by . This book was released on 2010 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Liquidity and Price Discovery of Algorithmic Trading by : Tina Prodromou
Download or read book Liquidity and Price Discovery of Algorithmic Trading written by Tina Prodromou and published by . This book was released on 2014 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: We study the intra-day impact of algorithmic trading on the futures market to increase our understanding of algorithmic trading and its role in the price formation process. First, we find that algorithmic trading provides liquidity when the spread is wide and that algorithms enter the market at a series of intervals that decrease the spread. Second, we show that algorithmic trading is related to lower adverse selection and is unrelated to realised spreads. Third, we confirm that information asymmetry is highest at the beginning of the trading day, and as the price stabilises during the trading day, we find that the trade becomes the information carrier and algorithmic trading increases. Fourth, we find that algorithmic trades strategically enter the market during periods with less informed trading, while the period following exhibits higher public and private information. Our results suggest that algorithmic traders contribute to the price discovery process of financial markets.
Book Synopsis The Empirical Analysis of Liquidity by : Craig Holden
Download or read book The Empirical Analysis of Liquidity written by Craig Holden and published by Now Publishers. This book was released on 2014-11-28 with total page 90 pages. Available in PDF, EPUB and Kindle. Book excerpt: We provide a synthesis of the empirical evidence on market liquidity. The liquidity measurement literature has established standard measures of liquidity that apply to broad categories of market microstructure data. Specialized measures of liquidity have been developed to deal with data limitations in specific markets, to provide proxies from daily data, and to assess institutional trading programs. The general liquidity literature has established local cross-sectional patterns, global cross-sectional patterns, and time-series patterns.
