Going Public


Book Description

Going Public investigates why companies routinely underprice themselves as they try to list themselves on the stock exchange. They subsequently underperform over the long-term and, in Going Public, the authors explore these 2 phenomena in plain English.




Initial Public Offerings (IPO)


Book Description

After the cooling off of IPOs since the dot com bubble, Google has rekindled the fire for IPOs. This IPO reader contains new articles exclusive to this reader by leading academics from around the world dealing with quantitative and qualitative analyses of this increasingly popular and important area of finance. Articles address new methods of IPO performance, international IPOs, IPO evaluation, IPO underwriting, evaluation and bookbuilding. Although numerous articles are technical in nature, with econometric and statistical models, particular attention has been directed towards the understanding and the applicability of the results as well as theoretical development in this area. This reader will assist researchers, academics, and graduate students to further understand the latest research on IPOs.*Interest in IPOs is increasing again after the Google IPO, and IPOs are up significantly from last year*Chapters by well known academics provide an international perspective, describing research results from IPO data in countries spanning the globe*Research is based on real results from IPO data collected over the past 5-7 years




Current Financial Studies


Book Description




Linear and Non-Linear Financial Econometrics


Book Description

The importance of experimental economics and econometric methods increases with each passing day as data quality and software performance develops. New econometric models are developed by diverging from earlier cliché econometric models with the emergence of specialized fields of study. This book, which is expected to be an extensive and useful reference by bringing together some of the latest developments in the field of econometrics, also contains quantitative examples and problem sets. We thank all the authors who contributed to this book with their studies that provide extensive and accessible explanations of the existing econometric methods.




Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes)


Book Description

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.




Proceedings of Data Analytics and Management


Book Description

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2022), held at tThe Karkonosze University of Applied Sciences, Poland, during June 2022. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.




The Essence and Measurement of Organizational Efficiency


Book Description

This book offers a collection of studies on various organizations’ efficiency, criteria for evaluating efficiency, together with tools and methods for measuring efficiency. The articles included present an interdisciplinary look at efficiency, its essence and the principles of its measurement. They represent an attempt to seek the conceptual boundaries of efficiency, i.e. to clarify this abstract and multidimensional concept including its relation to innovation, competitiveness and intellectual capital. The contributions also identify a broad spectrum of conditions for achieving efficiency in various types of organizations and systems (e.g. health care, hybrid organizations, non-profit organizations), representing various industries (e.g. insurance, banking, tourism, agriculture).







The IPO Decision


Book Description

Annotation Initial public offerings (IPOs) garnered unprecedented positive attention in the 1990s for their spectacular returns and central role in entrepreneurial activity. Subsequent revelations of unscrupulous IPO allocation and promotion practices cast a less fa.




Market Volatility


Book Description

Market Volatility proposes an innovative theory, backed by substantial statistical evidence, on the causes of price fluctuations in speculative markets. It challenges the standard efficient markets model for explaining asset prices by emphasizing the significant role that popular opinion or psychology can play in price volatility. Why does the stock market crash from time to time? Why does real estate go in and out of booms? Why do long term borrowing rates suddenly make surprising shifts? Market Volatility represents a culmination of Shiller's research on these questions over the last dozen years. It contains reprints of major papers with new interpretive material for those unfamiliar with the issues, new papers, new surveys of relevant literature, responses to critics, data sets, and reframing of basic conclusions. Included is work authored jointly with John Y. Campbell, Karl E. Case, Sanford J. Grossman, and Jeremy J. Siegel. Market Volatility sets out basic issues relevant to all markets in which prices make movements for speculative reasons and offers detailed analyses of the stock market, the bond market, and the real estate market. It pursues the relations of these speculative prices and extends the analysis of speculative markets to macroeconomic activity in general. In studies of the October 1987 stock market crash and boom and post-boom housing markets, Market Volatility reports on research directly aimed at collecting information about popular models and interpreting the consequences of belief in those models. Shiller asserts that popular models cause people to react incorrectly to economic data and believes that changing popular models themselves contribute significantly to price movements bearing no relation to fundamental shocks.