Author: Frank de Jong
Publisher: Cambridge University Press
ISBN: 1139478443
Category : Business & Economics
Languages : en
Pages : 209
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Book Description
The analysis of the microstructure of financial markets has been one of the most important areas of research in finance and has allowed scholars and practitioners alike to have a much more sophisticated understanding of the dynamics of price formation in financial markets. Frank de Jong and Barbara Rindi provide an integrated graduate level textbook treatment of the theory and empirics of the subject, starting with a detailed description of the trading systems on stock exchanges and other markets and then turning to economic theory and asset pricing models. Special attention is paid to models explaining transaction costs, with a treatment of the measurement of these costs and the implications for the return on investment. The final chapters review recent developments in the academic literature. End-of-chapter exercises and downloadable data from the book's companion website provide opportunities to revise and apply models developed in the text.
Author: Stephen Satchell
Publisher: Elsevier
ISBN: 0080550673
Category : Business & Economics
Languages : en
Pages : 299
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Book Description
Forecasting returns is as important as forecasting volatility in multiple areas of finance. This topic, essential to practitioners, is also studied by academics. In this new book, Dr Stephen Satchell brings together a collection of leading thinkers and practitioners from around the world who address this complex problem using the latest quantitative techniques.*Forecasting expected returns is an essential aspect of finance and highly technical *The first collection of papers to present new and developing techniques *International authors present both academic and practitioner perspectives
Author: Merritt B. Fox
Publisher: Columbia University Press
ISBN: 023154393X
Category : Business & Economics
Languages : en
Pages : 612
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Book Description
The U.S. stock market has been transformed over the last twenty-five years. Once a market in which human beings traded at human speeds, it is now an electronic market pervaded by algorithmic trading, conducted at speeds nearing that of light. High-frequency traders participate in a large portion of all transactions, and a significant minority of all trade occurs on alternative trading systems known as “dark pools.” These developments have been widely criticized, but there is no consensus on the best regulatory response to these dramatic changes. The New Stock Market offers a comprehensive new look at how these markets work, how they fail, and how they should be regulated. Merritt B. Fox, Lawrence R. Glosten, and Gabriel V. Rauterberg describe stock markets’ institutions and regulatory architecture. They draw on the informational paradigm of microstructure economics to highlight the crucial role of information asymmetries and adverse selection in explaining market behavior, while examining a wide variety of developments in market practices and participants. The result is a compelling account of the stock market’s regulatory framework, fundamental institutions, and economic dynamics, combined with an assessment of its various controversies. The New Stock Market covers a wide range of issues including the practices of high-frequency traders, insider trading, manipulation, short selling, broker-dealer practices, and trading venue fees and rebates. The book illuminates both the existing regulatory structure of our equity trading markets and how we can improve it.
Author: Jean-Philippe Bouchaud
Publisher: Cambridge University Press
ISBN: 1108639062
Category : Science
Languages : en
Pages : 464
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Book Description
The widespread availability of high-quality, high-frequency data has revolutionised the study of financial markets. By describing not only asset prices, but also market participants' actions and interactions, this wealth of information offers a new window into the inner workings of the financial ecosystem. In this original text, the authors discuss empirical facts of financial markets and introduce a wide range of models, from the micro-scale mechanics of individual order arrivals to the emergent, macro-scale issues of market stability. Throughout this journey, data is king. All discussions are firmly rooted in the empirical behaviour of real stocks, and all models are calibrated and evaluated using recent data from Nasdaq. By confronting theory with empirical facts, this book for practitioners, researchers and advanced students provides a fresh, new, and often surprising perspective on topics as diverse as optimal trading, price impact, the fragile nature of liquidity, and even the reasons why people trade at all.
Author: Nittaya Wiboonprapat
Publisher:
ISBN:
Category : Financial institutions
Languages : en
Pages : 176
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Book Description
Author: Vinaitheerthan Renganathan
Publisher: Vinaitheerthan Renganathan
ISBN: 9354579736
Category : Business & Economics
Languages : en
Pages : 107
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Book Description
Stock price analysis involves different methods such as fundamental analysis and technical analysis which is based on data related to price movement of the stock in the past. Price of the stock is affected by various factors such as company’s performance, current status of economy and political factor. These factors play an important role in supply and demand of the stock which makes the price to be volatile in the short term. Investors and stock traders aim to book profit through buying and selling the stocks. There are different statistical and data science tools are being used to predict the stock price. Data Science and Statistical tools assume only the stock price’s historical data in predicting the future stock price. Statistical tools include measures such as Graph and Charts which depicts the general trend and time series tools such as Auto Regressive Integrated Moving Averages (ARIMA) and regression analysis. Data Science tools include models like Decision Tree, Support Vector Machine (SVM), Artificial Neural Network (ANN) and Long Term and Short Term Memory (LSTM) Models. Current methods include carrying out sentiment analysis of tweets, comments and other social media discussion to extract the hidden sentiment expressed by the users which indicate the positive or negative sentiment towards the stock price and the company. The book provides an overview of the analyzing and predicting stock price movements using statistical and data science tools using R open source software with hypothetical stock data sets. It provides a short introduction to R software to enable the user to understand analysis part in the later part. The book will not go into details of suggesting when to purchase a stock or what at price. The tools presented in the book can be used as a guiding tool in decision making while buying or selling the stock. Vinaitheerthan Renganathan www.vinaitheerthan.com/book.php
Author: Gaikar Vilas Bhau
Publisher: Springer Nature
ISBN: 9464630426
Category : Mathematics
Languages : en
Pages : 1514
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Book Description
This is an open access book. 2022 International Conference on Mathematical Statistics and Economic Analysis(MSEA 2022) will be held in Dalian, China from May 27 to 29, 2022. Based on probability theory, mathematical statistics studies the statistical regularity of a large number of random phenomena, and infers and forecasts the whole. Economic development is very important to people's life and the country. Through data statistics and analysis, we can quickly understand the law of economic development. This conference combines mathematical statistics and economic analysis for the first time to explore the relationship between them, so as to provide a platform for experts and scholars in the field of mathematical statistics and economic analysis to exchange and discuss.
Author: Wing-Keung Wong
Publisher: Mdpi AG
ISBN: 9783036530802
Category : Business & Economics
Languages : en
Pages : 232
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Book Description
The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.
Author: Mohammad Shorif Uddin
Publisher: Springer Nature
ISBN: 9819914353
Category : Technology & Engineering
Languages : en
Pages : 729
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Book Description
This book gathers outstanding research papers presented at the 6th International Joint Conference on Advances in Computational Intelligence (IJCACI 2022), held in hybrid mode during October 15 – 16, 2022. IJCACI 2022 is jointly organized by Jahangirnagar University (JU), Bangladesh and South Asian University (SAU), India. The book presents the novel contributions in areas of computational intelligence and it serves as a reference material for advance research. The topics covered are collective intelligence, soft computing, optimization, cloud computing, machine learning, intelligent software, robotics, data science, data security, big data analytics, and signal and natural language processing.
Author: Leonard Barolli
Publisher: Springer Nature
ISBN: 3031578708
Category :
Languages : en
Pages : 486
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Book Description
