Stock Returns Autocorrelation when the Order-arrival Process is the Result of Positive Feedback Trading PDF Download

Author: Peter G. Dunne
Publisher:
ISBN:
Category : Stock exchanges
Languages : en
Pages : 32

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Author: Martin T. Bohl
Publisher:
ISBN:
Category :
Languages : en
Pages : 18

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Author: Die Wan
Publisher:
ISBN:
Category :
Languages : en
Pages : 40

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Book Description
Based on Level-2 transaction data of individual stocks in Chinese market, the paper constructs measures to directly estimate positive feedback trading intensity and its asymmetry in high-frequency intervals, and then investigates the impact of feedback trading on market quality. Heterogeneous positive feedback traders are found in high-frequency trading intervals of individual stocks, and the buying-winners effect is generally more intensive than selling-losers effect. The asymmetric positive feedback traders contribute to high volatility, high return autocorrelations, high variance ratios and low speed of price discovery. The asymmetry is positively related to aggressive trading orders and hence large price impact, while positive feedback trading reduces both liquidity provision and trading cost. Collectively, the high-frequency asymmetric positive feedback trading leads to an active-trading but less efficient market.

Author: Xiangkang Yin
Publisher:
ISBN:
Category :
Languages : en
Pages : 69

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Applying a recently developed approach, the paper estimates the daily arrival rates of buy and sell orders originated from different trading motives for each stock in a sample of NYSE-listed companies. Based on these arrival rates, it shows that stock return tends to continue on consecutive days when privately-informed trading prevails, leading to positive return autocorrelation. But return is more likely to reverse itself on days with continuous trading on dispersion in beliefs, leading return autocorrelation to be more negative. Contrarian trading strategies conditional on daily measures of investment disagreement can yield economically and statistically significant excess returns.

Author: Yong Zeng
Publisher: Springer Science & Business Media
ISBN: 1461477891
Category : Business & Economics
Languages : en
Pages : 358

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Book Description
State-space models as an important mathematical tool has been widely used in many different fields. This edited collection explores recent theoretical developments of the models and their applications in economics and finance. The book includes nonlinear and non-Gaussian time series models, regime-switching and hidden Markov models, continuous- or discrete-time state processes, and models of equally-spaced or irregularly-spaced (discrete or continuous) observations. The contributed chapters are divided into four parts. The first part is on Particle Filtering and Parameter Learning in Nonlinear State-Space Models. The second part focuses on the application of Linear State-Space Models in Macroeconomics and Finance. The third part deals with Hidden Markov Models, Regime Switching and Mathematical Finance and the fourth part is on Nonlinear State-Space Models for High Frequency Financial Data. The book will appeal to graduate students and researchers studying state-space modeling in economics, statistics, and mathematics, as well as to finance professionals.

Author: Robert A. Schwartz
Publisher: John Wiley & Sons
ISBN: 0470642491
Category : Business & Economics
Languages : en
Pages : 290

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Book Description
An interactive guide to successfully trading in today's markets Mastering the Art of Equity Trading Through Simulation is a guidebook to interactive computer trading simulation designed to provide participants with hands-on experience in making tactical decisions and implementing them in different market environments-from continuous order drive markets to call auction markets, and from dealer markets to dark liquidity pools. By showing traders how to operate in these different markets, this reliable resource quickly reveals a good deal about what trading involves and how market design impacts trading decisions. Provides a virtual platform that gives users hands-on experience in making tactical trading decisions Shows exactly how prices are established in the marketplace Teaches how the structure of a marketplace influences participant decisions Learning to trade through study is like learning about a roller coaster ride verbally. You may get the idea of going up and down and around curves, but will lack the actual experience. Mastering the Art of Equity Trading Through Simulation will get you as close as possible to the markets-without actually going in them-and prepare you to profit once you're really there.

Author: Steve Bell
Publisher: John Wiley & Sons
ISBN: 1118769465
Category : Business & Economics
Languages : en
Pages : 423

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Book Description
An accessible introduction to quantitative finance by the numbers--for students, professionals, and personal investors The world of quantitative finance is complex, and sometimes even high-level financial experts have difficulty grasping it. Quantitative Finance For Dummies offers plain-English guidance on making sense of applying mathematics to investing decisions. With this complete guide, you'll gain a solid understanding of futures, options and risk, and become familiar with the most popular equations, methods, formulas, and models (such as the Black-Scholes model) that are applied in quantitative finance. Also known as mathematical finance, quantitative finance is about applying mathematics and probability to financial markets, and involves using mathematical models to help make investing decisions. It's a highly technical discipline--but almost all investment companies and hedge funds use quantitative methods. The book breaks down the subject of quantitative finance into easily digestible parts, making it approachable for personal investors, finance students, and professionals working in the financial sector--especially in banking or hedge funds who are interested in what their quant (quantitative finance professional) colleagues are up to. This user-friendly guide will help you even if you have no previous experience of quantitative finance or even of the world of finance itself. With the help of Quantitative Finance For Dummies, you'll learn the mathematical skills necessary for success with quantitative finance and tips for enhancing your career in quantitative finance. Get your own copy of this handy reference guide and discover: An easy-to-follow introduction to the complex world of quantitative finance The core models, formulas, and methods used in quantitative finance Exercises to help augment your understanding of QF How QF methods are used to define the current market value of a derivative security Real-world examples that relate quantitative finance to your day-to-day job Mathematics necessary for success in investment and quantitative finance Portfolio and risk management applications Basic derivatives pricing Whether you're an aspiring quant, a top-tier personal investor, or a student, Quantitative Finance For Dummies is your go-to guide for coming to grips with QF/risk management.

Author: Thorsten Hens
Publisher: Elsevier
ISBN: 0080921434
Category : Business & Economics
Languages : en
Pages : 607

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Book Description
The models of portfolio selection and asset price dynamics in this volume seek to explain the market dynamics of asset prices. Presenting a range of analytical, empirical, and numerical techniques as well as several different modeling approaches, the authors depict the state of debate on the market selection hypothesis. By explicitly assuming the heterogeneity of investors, they present models that are descriptive and normative as well, making the volume useful for both finance theorists and financial practitioners. - Explains the market dynamics of asset prices, offering insights about asset management approaches - Assumes a heterogeneity of investors that yields descriptive and normative models of portfolio selections and asset pricing dynamics

Author: Dongwei Su
Publisher: World Scientific
ISBN: 9812795626
Category : Business & Economics
Languages : en
Pages : 454

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Book Description
The exponential growth of China''s stock markets in the past decade has attracted global attention from academics and practitioners. The practitioner''s interest in Chinese markets stems from corporations; investors and financial institutions foresee substantial benefits from investing in China in the long run. However, the academic literature on the development of securities markets and reform of state enterprises in China is still in its infancy and fragmented. This handbook aims to bridge that gap by presenting a wide spectrum of research in the forefront of financial applications. It integrates theory and practice with state-of-the-art statistical techniques and provides numerous insights into the main challenges confronting Chinese markets in the new millennium. Contents: Development of Chinese Stock Markets; Structural and Institutional Characteristics; Risk, Return and Regulation in Chinese Stock Markets; Ownership Restrictions and Foreign Shares Discount; Excess Volatility in Domestic Share Markets; The Underpricing of Initial Public Offerings; Corporate Governance and Post-IPO Financing; Accounting Information and Stock Performance; Internationalization of Chinese Stock Markets; Appendices: Securities Law; Summary of P.R.C Taxes; Major Events in Chinese Stock Markets. Readership: PhD and advanced MBA students, researchers, practitioners, and policymakers interested in emerging market issues.

Author: Frédéric Abergel
Publisher: Cambridge University Press
ISBN: 1316870480
Category : Mathematics
Languages : en
Pages : 242

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Book Description
A limit order book is essentially a file on a computer that contains all orders sent to the market, along with their characteristics such as the sign of the order, price, quantity and a timestamp. The majority of organized electronic markets rely on limit order books to store the list of interests of market participants on their central computer. A limit order book contains all the information available on a specific market and it reflects the way the market moves under the influence of its participants. This book discusses several models of limit order books. It begins by discussing the data to assess their empirical properties, and then moves on to mathematical models in order to reproduce the observed properties. Finally, the book presents a framework for numerical simulations. It also covers important modelling techniques including agent-based modelling, and advanced modelling of limit order books based on Hawkes processes. The book also provides in-depth coverage of simulation techniques and introduces general, flexible, open source library concepts useful to readers studying trading strategies in order-driven markets.