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| Author | : Jeff Jing-Sheng Chung |
| Publisher | : |
| Total Pages | : 192 |
| Release | : 2000 |
| Genre | : |
| ISBN | : |
| Author | : Jeff Chung |
| Publisher | : |
| Total Pages | : 24 |
| Release | : 2001 |
| Genre | : |
| ISBN | : |
In this study, we demonstrate how price limits can affect a return series on limit-hitting days. Our identification of two effects - a ceiling effect and a cooling or heating effect (C-H effect) is based on a resampling method suggested by Wei and Chiang (1999). We estimate the C-H effect by assuming that the return series will have a mixture normal density instead of a simple normal density. We apply our model to five randomly selected Taiwanese stocks as well as all the stocks that are continuously traded in our sample. The simple normal density is soundedly rejected and it would generally lead one to conclude that price limits can quot;cool offquot; stock prices. On the other hand, if normal mixture density is used, one would generally conclude that price limits will have no effect on the variance of stock returns.
| Author | : Wayne Ferson |
| Publisher | : MIT Press |
| Total Pages | : 497 |
| Release | : 2019-03-12 |
| Genre | : Business & Economics |
| ISBN | : 0262039370 |
An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.
| Author | : Tai Ma |
| Publisher | : |
| Total Pages | : 51 |
| Release | : 2008 |
| Genre | : |
| ISBN | : |
This paper investigates the effect of price limits on strategically informed trading and market performances. We show that a price limit will increase the costs of liquidity traders and volatility spillover by its ex ante effects on strategically informed trading. Our study differs from prior research by focusing on informed traders' strategies and information competitiveness. With long-lived information or less information competitiveness, the price limit rule encourages stealthily informed trading, distorts the price dynamics and increases the trading costs of small liquidity traders. Volatility subsequent to a limit-hit is also increased. By using the listed firms in the Taiwan Stock Exchange, we provide empirical evidences that informed traders switch to trade with small orders when they encounter a price limit and volatility spillover exists. Furthermore, this negative effect is more sever for those stocks with less information competitiveness. Our findings suggest that the ex ante effects of price limits on market performances may be contrary to what the stabilizing mechanism is intended to achieve, especially for those firms with less information competitiveness.
| Author | : Stefan Nagel |
| Publisher | : Princeton University Press |
| Total Pages | : 156 |
| Release | : 2021-05-11 |
| Genre | : Business & Economics |
| ISBN | : 0691218706 |
A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricing Investors in financial markets are faced with an abundance of potentially value-relevant information from a wide variety of different sources. In such data-rich, high-dimensional environments, techniques from the rapidly advancing field of machine learning (ML) are well-suited for solving prediction problems. Accordingly, ML methods are quickly becoming part of the toolkit in asset pricing research and quantitative investing. In this book, Stefan Nagel examines the promises and challenges of ML applications in asset pricing. Asset pricing problems are substantially different from the settings for which ML tools were developed originally. To realize the potential of ML methods, they must be adapted for the specific conditions in asset pricing applications. Economic considerations, such as portfolio optimization, absence of near arbitrage, and investor learning can guide the selection and modification of ML tools. Beginning with a brief survey of basic supervised ML methods, Nagel then discusses the application of these techniques in empirical research in asset pricing and shows how they promise to advance the theoretical modeling of financial markets. Machine Learning in Asset Pricing presents the exciting possibilities of using cutting-edge methods in research on financial asset valuation.
| Author | : Tse-Chun Lin |
| Publisher | : Rozenberg Publishers |
| Total Pages | : 146 |
| Release | : 2009 |
| Genre | : |
| ISBN | : 9036101514 |
| Author | : Mr.Ian Domowitz |
| Publisher | : International Monetary Fund |
| Total Pages | : 50 |
| Release | : 1992-09-01 |
| Genre | : Business & Economics |
| ISBN | : 1451849788 |
A taxonomy of existing and planned automated trade execution systems in financial markets is provided. Over 50 automated market structures in 16 countries are analyzed. The classification scheme is organized around the principle that such markets consist of an algorithm that performs a trade matching function, together with information display and transmission mechanisms. Automated market structures are classified by ordered sets of trade execution priority rules, trade matching protocols and associated degree of automation of price discovery, and transparency, to include informational asymmetries between classes of market participants. Systematic differences in systems across types of financial instruments, geographical market centers, and over time are analyzed.
| Author | : Damien Challet |
| Publisher | : OUP Oxford |
| Total Pages | : 364 |
| Release | : 2004-11-04 |
| Genre | : Science |
| ISBN | : 0191546526 |
The Minority Game is a physicist's attempt to explain market behaviour by the interaction between traders. With a minimal set of ingredients and drastic assumptions, this model reproduces market ecology among different types of traders. Its emphasis is on speculative trading and information flow. The book first describes the philosophy lying behind the conception of the Minority Game in 1997, and includes in particular a discussion about the El Farol bar problem. It then reviews the main steps in later developments, including both the theory and its applications to market phenomena. 'Minority Games' gives a colourful and stylized, but also realistic picture of how financial markets operate.
| Author | : Joel Hasbrouck |
| Publisher | : Oxford University Press |
| Total Pages | : 209 |
| Release | : 2007-01-04 |
| Genre | : Business & Economics |
| ISBN | : 0198041306 |
The interactions that occur in securities markets are among the fastest, most information intensive, and most highly strategic of all economic phenomena. This book is about the institutions that have evolved to handle our trading needs, the economic forces that guide our strategies, and statistical methods of using and interpreting the vast amount of information that these markets produce. The book includes numerous exercises.
| Author | : Mr. Kangni R Kpodar |
| Publisher | : International Monetary Fund |
| Total Pages | : 34 |
| Release | : 2021-11-12 |
| Genre | : Business & Economics |
| ISBN | : 1616356154 |
This paper investigates the response of consumer price inflation to changes in domestic fuel prices, looking at the different categories of the overall consumer price index (CPI). We then combine household survey data with the CPI components to construct a CPI index for the poorest and richest income quintiles with the view to assess the distributional impact of the pass-through. To undertake this analysis, the paper provides an update to the Global Monthly Retail Fuel Price Database, expanding the product coverage to premium and regular fuels, the time dimension to December 2020, and the sample to 190 countries. Three key findings stand out. First, the response of inflation to gasoline price shocks is smaller, but more persistent and broad-based in developing economies than in advanced economies. Second, we show that past studies using crude oil prices instead of retail fuel prices to estimate the pass-through to inflation significantly underestimate it. Third, while the purchasing power of all households declines as fuel prices increase, the distributional impact is progressive. But the progressivity phases out within 6 months after the shock in advanced economies, whereas it persists beyond a year in developing countries.
