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The Effects of Price Limits on Trading Volume

The Effects of Price Limits on Trading Volume
Author: Joan Evans
Publisher:
Total Pages: 6
Release: 2007
Genre:
ISBN:

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Will trading volume shift from a market with price limits to a closely related market without them? An examination of the U.S. cotton market reveals that trading volume does in fact move from a class of security that is subject to trading limits (cotton futures) to another that is not (options on cotton futures). The results add to the debate on trading limits by calling into question the limits' overall effectiveness.


Ex-ante and Ex-post Effects of Price Limits in Commodity Futures Markets

Ex-ante and Ex-post Effects of Price Limits in Commodity Futures Markets
Author: Gabriel Blair Fontinelle
Publisher:
Total Pages:
Release: 2020
Genre:
ISBN:

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After October 1987, financial crisis, market regulators created dispositive called circuit breaks to contain high levels of volatility. As a type of circuit breaker, price limits were adopted not only on stock markets but in commodity futures contracts as well, however, its effects are not clear. The present study aimed to evaluate price limit ex-ante effects on the four major wheat futures markets by adopting Brogaard and Roshak (2015) methodology by estimating the probability of extreme movements and limit moves conditional to extreme movements and its ex-post effects on trading activity by contrasting the volume curve on limit days with a counterfactual volume curve that simulates a scenario where price limits were not hit. The results show that tighter limit levels decrease the probability of extreme movements by approximately 0.008% having an overall (four markets included) baseline probability of extreme moves equals 1.11% which agrees with the Holding Back hypothesis assuming extreme movements as a proxy for volatility. On the other hand, the probability of limit moves conditional to extreme movements increases when limit levels are tighter by approximately 0.066% with an overall baseline of 0.05% which supports the "Magnet" hypothesis. Regarding the ex-post effects, longer periods where prices stay at the limit level result in trading activity lost, however, if prices return to limit range but bounce back to a limit lock, the longer the gap between limit locks trading session experience an increase in trading activity. Moreover, the ex-post effects on trading activity are more intense in Chicago relative to Kansas City because Chicago presents a higher trading volume on average.


Can Price Limits Help When the Price is Falling? Evidence from Transactions Data on the Shanghai Stock Exchange

Can Price Limits Help When the Price is Falling? Evidence from Transactions Data on the Shanghai Stock Exchange
Author: Woon K. Wong
Publisher:
Total Pages: 34
Release: 2008
Genre:
ISBN:

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We use transactions data to explore the magnet effects of price limit rules on the Shanghai Stock Exchange (SHSE). When limit hits are imminent, stock prices are found to approach the price limits at faster rates, with higher trading intensity and larger price variation, supporting the magnet effect hypothesis of Subrahmanyam (1994). Moreover, when stock prices approach the floor limits, we observe lower than normal market conditions' trading volume and trade size but a wider spread. The panic selling psychology of individual investors for fear of illiquidity and the strategic trading decisions of discretionary traders during periods prior to price limit hits at the floors are conjectured as possible explanations for the observed price behaviors. Post-limit-hit analysis reveals evidence of delayed price discovery at the ceiling limit but price reversal at the floor.


Price Limits

Price Limits
Author: Recep Bildik
Publisher:
Total Pages: 30
Release: 2004
Genre:
ISBN:

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There has been considerable discussion in policy circles about controlling volatility by imposing price limits on asset prices. This study examines the effects of price limits on a stock market by testing volatility spillover, delayed price discovery, and trading interference hypotheses in a leading emerging market, Istanbul Stock Exchange (ISE), which has a unique microstructure with related to price limits. Our results support volatility spillover, delayed price discovery, and trading interference hypotheses. We also show price locks at limits measured by Volume-Weighted Average Prices provide significantly stronger evidence regarding the effects of price limits than measurement of limit moves only. Finally, price limits have a significant impact on stock market, casting doubt on their effectiveness in financial markets.


Effects of Price Limits on Informed Trading Strategies and Market Performances

Effects of Price Limits on Informed Trading Strategies and Market Performances
Author: Tai Ma
Publisher:
Total Pages: 51
Release: 2008
Genre:
ISBN:

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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.


Limit Order Books

Limit Order Books
Author: Frédéric Abergel
Publisher: Cambridge University Press
Total Pages: 242
Release: 2016-05-09
Genre: Mathematics
ISBN: 1316870480

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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.


The Microstructure of Financial Markets

The Microstructure of Financial Markets
Author: Frank de Jong
Publisher: Cambridge University Press
Total Pages: 209
Release: 2009-05-14
Genre: Business & Economics
ISBN: 1139478443

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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.


Econometric Modelling of Stock Market Intraday Activity

Econometric Modelling of Stock Market Intraday Activity
Author: Luc Bauwens
Publisher: Springer Science & Business Media
Total Pages: 192
Release: 2013-11-11
Genre: Business & Economics
ISBN: 147573381X

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Over the past 25 years, applied econometrics has undergone tremen dous changes, with active developments in fields of research such as time series, labor econometrics, financial econometrics and simulation based methods. Time series analysis has been an active field of research since the seminal work by Box and Jenkins (1976), who introduced a gen eral framework in which time series can be analyzed. In the world of financial econometrics and the application of time series techniques, the ARCH model of Engle (1982) has shifted the focus from the modelling of the process in itself to the modelling of the volatility of the process. In less than 15 years, it has become one of the most successful fields of 1 applied econometric research with hundreds of published papers. As an alternative to the ARCH modelling of the volatility, Taylor (1986) intro duced the stochastic volatility model, whose features are quite similar to the ARCH specification but which involves an unobserved or latent component for the volatility. While being more difficult to estimate than usual GARCH models, stochastic volatility models have found numerous applications in the modelling of volatility and more particularly in the econometric part of option pricing formulas. Although modelling volatil ity is one of the best known examples of applied financial econometrics, other topics (factor models, present value relationships, term structure 2 models) were also successfully tackled.