Price limits in product market have been discarded in classic microeconomics. However, price limits affect the trade behavior of the same agent, since agents in the stock market change their trade status frequently. D...Price limits in product market have been discarded in classic microeconomics. However, price limits affect the trade behavior of the same agent, since agents in the stock market change their trade status frequently. Due to the controversy on the institution effectiveness of the price limits in stock market, this paper design an experimental market with two stocks with continuous bid, in which we investigate the impact of the price limits on the stock market. The results show that the price limits moderate the price volatility within and between the trades periods, thus can stabilize stock price. In addition, price limits, when measured by traditional approach, restrain the fluidity of the market, reduce the volatility of transaction shares and maintain durative of fluidity. While volatility-based fluidity measurements show that the fluidity is enhanced significantly in stock market with price limits.展开更多
The mechanism of price limit impacts on informed traders’ behavior. To find out what effects related to price limit, three hypotheses caused by price limit are analyzed. Comprehensive method of event study and compar...The mechanism of price limit impacts on informed traders’ behavior. To find out what effects related to price limit, three hypotheses caused by price limit are analyzed. Comprehensive method of event study and comparative grouping is used to test the performance of price limit in Chinese stock market. The result of test indicates that price limit policy impedes fulfillment of traders and delays the discovery of stock price so it should be abolished.展开更多
We propose an empirical behavioral order-driven(EBOD)model with price limit rules,which consists of an order placement process and an order cancellation process.All the ingredients of the model are determined based on...We propose an empirical behavioral order-driven(EBOD)model with price limit rules,which consists of an order placement process and an order cancellation process.All the ingredients of the model are determined based on the empirical microscopic regularities in the order flows of stocks traded on the Shenzhen Stock Exchange.The model can reproduce the main stylized facts in real markets.Computational experiments unveil that asymmetric setting of price limits will cause the stock price to diverge exponentially when the up price limit is higher than the down price limit and to vanish vice versa.We also find that asymmetric price limits have little influence on the correlation structure of the return series and the volatility series,but cause remarkable changes in the average returns and the tail exponents of returns.Our EBOD model provides a suitable computational experiment platform for academics,market participants,and policy makers.展开更多
Many stock exchanges around the world enforcing daily price limits on the amount asset prices can change to prevent the market from overreacting and to reduce volatility. Price limits are artificial boundaries set by ...Many stock exchanges around the world enforcing daily price limits on the amount asset prices can change to prevent the market from overreacting and to reduce volatility. Price limits are artificial boundaries set by market regulators who restrict price changes of a stock to a pre-specified range during a trading day or a single trading session. The primary aim of price limit rules is to stabilize the markets during panic trading, to moderate vitality by repressing excessive speculation, and to allow stocks to be traded at prices close to their fair value. However, their impact on the market is a somewhat unresolved issue (Harris, 1998). Using a methodology of comparing volatility based on the extreme value technique, the authors empirically investigate the impact of price limits on the volatility of the Stock Exchange of Thailand. The empirical results support price limits advocates, suggesting that price limits rules moderate stock price volatility.展开更多
Previous literature on price limit offers mixed empirical evidence on the effectiveness of price limits.This study complements the literature by providing a quasi-natural experiment to study the performance of price l...Previous literature on price limit offers mixed empirical evidence on the effectiveness of price limits.This study complements the literature by providing a quasi-natural experiment to study the performance of price limit. We examine the effectiveness of price limit rule using cross-listed stocks in the Chinese stock markets and Hong Kong stock market. We find that the influence of price limit becomes weaker as limit-hitting stocks are traded more actively. Among stocks with high trading activity, the delay of efficient price discovery, the volatility spillover and the trading interference become statistically insignificant. This challenges the views of price limit critics. Additionally, we find that the effect of price limits on the trading is asymmetric for A-shares in the upward and downward price movements.展开更多
The paper presents a valuation model of futures options trading at exchanges with initial margin requirements and daily price limit, and this result gives an academic guidance to design trading rules at exchanges. Unl...The paper presents a valuation model of futures options trading at exchanges with initial margin requirements and daily price limit, and this result gives an academic guidance to design trading rules at exchanges. Unlike the leading work of Black, certain trading rules are considered so as to be more fit for practical futures markets. The paper prices futures options with initial margin requirements and daily price limit by duplicating them with the help of the theory of backward stochastic differential equations (BSDEs, for short). Furthermore, an explicit expression of the price Of the call (or the put) futures option is given and also is shown to be the unique solution of the associated nonlinear partial differential equation.展开更多
基金Acknowledgements: This research is supported in part by National Nature Science Foundation of China (No. 70672029 and 70532001), project of key base for studies of social science of Ministry of Education of China (No. 05JJD630023), Social Science Foundation of Tianjin (No. TJ05-GL004), base for innovation of Philosophy and Social Science 985 Project-"Management and institution innovation of Corporate in China" item.
文摘Price limits in product market have been discarded in classic microeconomics. However, price limits affect the trade behavior of the same agent, since agents in the stock market change their trade status frequently. Due to the controversy on the institution effectiveness of the price limits in stock market, this paper design an experimental market with two stocks with continuous bid, in which we investigate the impact of the price limits on the stock market. The results show that the price limits moderate the price volatility within and between the trades periods, thus can stabilize stock price. In addition, price limits, when measured by traditional approach, restrain the fluidity of the market, reduce the volatility of transaction shares and maintain durative of fluidity. While volatility-based fluidity measurements show that the fluidity is enhanced significantly in stock market with price limits.
基金National Nature Science Foundation (04104007,60323043,60293061)
文摘The mechanism of price limit impacts on informed traders’ behavior. To find out what effects related to price limit, three hypotheses caused by price limit are analyzed. Comprehensive method of event study and comparative grouping is used to test the performance of price limit in Chinese stock market. The result of test indicates that price limit policy impedes fulfillment of traders and delays the discovery of stock price so it should be abolished.
基金This work was supported by the National Natural Science Foundation of China(Grants Nos.U1811462,71671066,and 71532009)the Fundamental Research Funds for the Central Universities.
文摘We propose an empirical behavioral order-driven(EBOD)model with price limit rules,which consists of an order placement process and an order cancellation process.All the ingredients of the model are determined based on the empirical microscopic regularities in the order flows of stocks traded on the Shenzhen Stock Exchange.The model can reproduce the main stylized facts in real markets.Computational experiments unveil that asymmetric setting of price limits will cause the stock price to diverge exponentially when the up price limit is higher than the down price limit and to vanish vice versa.We also find that asymmetric price limits have little influence on the correlation structure of the return series and the volatility series,but cause remarkable changes in the average returns and the tail exponents of returns.Our EBOD model provides a suitable computational experiment platform for academics,market participants,and policy makers.
文摘Many stock exchanges around the world enforcing daily price limits on the amount asset prices can change to prevent the market from overreacting and to reduce volatility. Price limits are artificial boundaries set by market regulators who restrict price changes of a stock to a pre-specified range during a trading day or a single trading session. The primary aim of price limit rules is to stabilize the markets during panic trading, to moderate vitality by repressing excessive speculation, and to allow stocks to be traded at prices close to their fair value. However, their impact on the market is a somewhat unresolved issue (Harris, 1998). Using a methodology of comparing volatility based on the extreme value technique, the authors empirically investigate the impact of price limits on the volatility of the Stock Exchange of Thailand. The empirical results support price limits advocates, suggesting that price limits rules moderate stock price volatility.
文摘Previous literature on price limit offers mixed empirical evidence on the effectiveness of price limits.This study complements the literature by providing a quasi-natural experiment to study the performance of price limit. We examine the effectiveness of price limit rule using cross-listed stocks in the Chinese stock markets and Hong Kong stock market. We find that the influence of price limit becomes weaker as limit-hitting stocks are traded more actively. Among stocks with high trading activity, the delay of efficient price discovery, the volatility spillover and the trading interference become statistically insignificant. This challenges the views of price limit critics. Additionally, we find that the effect of price limits on the trading is asymmetric for A-shares in the upward and downward price movements.
基金Supported by National Natural Science Foundation of China (Grant Nos. 10701050, 10426022)Shandong Province (Grant No. Q2007A04), Postdoctoral Science Foundation of Shanghai (Grant No. 06R214121) National Basic Research Program of China (973 Program) (Grant No. 2007CB814904)
文摘The paper presents a valuation model of futures options trading at exchanges with initial margin requirements and daily price limit, and this result gives an academic guidance to design trading rules at exchanges. Unlike the leading work of Black, certain trading rules are considered so as to be more fit for practical futures markets. The paper prices futures options with initial margin requirements and daily price limit by duplicating them with the help of the theory of backward stochastic differential equations (BSDEs, for short). Furthermore, an explicit expression of the price Of the call (or the put) futures option is given and also is shown to be the unique solution of the associated nonlinear partial differential equation.