The Effectiveness of Price Limits and Stock Characteristics: Evidence from the Shanghai and Shenzhen Stock Exchanges

We examine the effectiveness of price limits on Chinese A shares and investigate the characteristics of those stocks that hit their price limits more frequently. We find that the effect of price limits is asymmetric for the A shares in upward and downward price movements and different for bullish and bearish sample periods. During a bullish period price limits effectively reduce stock volatility for downward price movements, but not for upward price movements; while during a bearish period price limits effectively reduce stock volatility for upward price movements, but not for downward price movements. Second, price limits delay efficient price discovery for upward price movements, but not for downward price movements. However, we do not find evidence to suggest that price limits harmfully interfere with the stock trading processes in the Chinese A share markets. Finally, we find that actively traded stocks hit their price limits more often and tend to hit the lower limit more frequently when overall market conditions are bearish. Stocks with high book-to-market values of equity hit their upper price limits more frequently, while stocks with a high ratio of tradable shares tend to hit their price limits less frequently.JEL Classification: G10, G14, G15     

Evidence of oil market price clustering during the COVID-19 pandemic

We use hourly data on opening price, closing price, opening ask price, opening bid price, closing ask price and closing bid price to show that while oil prices are characterized by price clustering behavior, prices tend to cluster on numbers closer to zero than to one. Comparing the pre-COVID-19 sample with the COVID-19 sample, we find that evidence of price clustering is 8% more in the COVID-19 sample. We test the determinants of price clustering and find that as much as 30% of the price clustering behavior can be attributed to the COVID-19 pandemic. Finally, using a simple technical trading strategy, we do not find any evidence that the oil market is profitable in the COVID-19 period.     

房产商与地方政府有限理性博弈模型的复杂性分析

基于地方政府地价控制行为和有限理性建立房产商和政府动态博弈模型,并分别用理论和数字模拟的方法对其复杂性加以分析,结果表明:区域地价和房价、房屋产销量博弈的Nash均衡在现实中是通过有限理性、不完全信息动态重复博弈达成的;若政府采取固定比率紧盯房价的模式管理地价,则政府对地价的控制决策决定区域房价均衡水平;均衡时,区域楼面地价与房价的比率是恒定的,且地价对房价的调整比率应小于最高地价房价比的2倍;政府税收和房产商建设成本制约地价调整并影响房产行业的产销量和价格,而区域政府可以通过延时反馈机制调控土地和房产市场。     

货币政策为何及如何关注食品价格

食品价格是通货膨胀压力的灵敏反映指标,且由于食品部门供应价格弹性、存货缓冲能力、需求价格弹性和生产效率相对较低,产品同质化程度相对较高,食品价格的弹性明显高于非食品价格,加之在通货膨胀和经济周期过程中,食品部门具有需求顺周期和供给逆周期的特征,食品价格波动幅度往往远高于非食品价格,存在一定程度的超调。因此,文章建议货币政策应充分关注食品价格,同时适当提高对食品价格波幅的容忍程度。     

Do Daily Price Limits Act as Magnets? The Case of Treasury Bond Futures

This article examines price behavior in the U.S. Treasury bond futures market in the mornings after large overnight price moves, using data from 1980 to 1987. The article tests whether price behavior is affected by proximity to a price limit, and whether the effect is a magnet effect or a calming effect. In that period, the price tends to reverse direction after the morning open, and the reversal appears to reflect a calming effect of the price being close to the limit. An alternative hypothesis—that morning price behavior reflects the overnight price change rather than proximity to the price limit per se—is also tested, and does not perform as well in explaining price behavior.     

Endogenous market statistics and security pricing:: An empirical investigation

This study examines empirically the degree to which the history of daytime and overnight price changes and order flow affects estimates of traders' beliefs about future security price changes. Estimates indicate that forecasts of the permanent component of price changes occurring after the open of trading are significantly related to past price changes and order flow; but the same is not generally true for price changes occurring after the close. These results are consistent with models of technical analysis, and models in which the process of trading facilitates price discovery. The evidence also suggests that private information is an important determinant of price movements.     

A liquidity-based model for asset price bubbles

We provide a new liquidity-based model for financial asset price bubbles that explains bubble formation and bubble bursting. The martingale approach to modeling price bubbles assumes that the asset's market price process is exogenous and the fundamental price, the expected future cash flows under a martingale measure, is endogenous. In contrast, we define the asset's fundamental price process exogenously and asset price bubbles are endogenously determined by market trading activity. This enables us to generate a model that explains both bubble formation and bubble bursting. In our model, the quantity impact of trading activity on the fundamental price process—liquidity risk—is what generates price bubbles. We study the conditions under which asset price bubbles are consistent with no arbitrage opportunities and we relate our definition of the fundamental price process to the classical definition.     

Collusion with intertemporal price dispersion

We develop a theory of optimal collusive intertemporal price dispersion. Dispersion clouds consumer price awareness, encouraging firms to coordinate on dispersed prices. Our theory generates a collusive rationale for price cycles and sales. Patient firms can support optimal collusion at the monopoly price. For less patient firms, monopoly prices must be punctuated with fleeting sales. The most robust structure involves price cycles that resemble Edgeworth cycles. Low consumer attentiveness enhances the effectiveness of price dispersion by reducing the payoff to deviations involving price reductions. However, for sufficiently low attentiveness, price rises are also a concern.     

Price Limit Performance: Evidence from the Tokyo Stock Exchange

Price limit advocates claim that price limits decrease stock price volatility, counter overreaction, and do not interfere with trading activity. Conversely, price limit critics claim that price limits cause higher volatility levels on subsequent days (volatility spillover hypothesis), prevent prices from efficiently reaching their equilibrium level (delayed price discovery hypothesis), and interfere with trading due to limitations imposed by price limits (trading interference hypothesis). Empirical research does not provide conclusive support for either positions. We examine the Tokyo Stock Exchange price limit system to test these hypotheses. Our evidence supports all three hypotheses suggesting that price limits may be ineffective.     

The timing of 52-week high price and momentum

We propose a new momentum strategy based on the timing of a stock’s 52-week high price. We find that the stocks that attained the 52-week high price in the recent past significantly outperform the stocks that attained the 52-week high price in the distant past. In particular, the top 10% of the stocks with the most recent 52-week high price outperform the bottom 10% of the stocks with most distant 52-week high price by 0.70% per month. Further, conditioning on the recency of 52-week high price significantly increases the profitability of momentum strategy based on the nearness of current price to the 52-week high price. Specifically, the average monthly return of this strategy is about twice as large for stocks with recent 52-week high price as compared with stocks with distant 52-week high price.     

Differences of opinion,institutional bids,and IPO underpricing

Miller (1977) hypothesizes that IPO underpricing arises because the issue price is based on the average opinion while the aftermarket price is set by a minority of optimistic investors. Using a unique data set of institutional bids for a large sample of Chinese IPOs, we show that the IPO issue price is positively related to the quantity-weighted average bid price and unrelated to the market-clearing bid price. In contrast, the first-day closing price is positively related to the market-clearing bid price and unrelated to the average bid price. Overall, our results provide strong support for Miller's explanation of IPO underpricing.     

What do price discovery metrics really measure?

A market is typically considered to dominate price discovery if it is the first to reflect new information about the fundamental value. Our simulations indicate that common price discovery metrics – Hasbrouck information share and Harris–McInish–Wood component share – are only consistent with this view of price discovery if the price series have equal levels of noise, including microstructure frictions and liquidity. If the noise in the price series differs, the information and component shares measure a combination of leadership in impounding new information and relative avoidance of noise, to varying degrees. A third price discovery metric, the ‘information leadership share’ uses the information share and the component share together to identify the price series that is first to impound new information. This third metric is robust to differences in noise levels and therefore correctly attributes price discovery in a wider range of settings. Using four recent empirical studies of price discovery we show that the choice and interpretation of price discovery metrics can have a substantial impact on conclusions about price discovery.     

国际原油价格波动对中国物价水平的影响

本文在多变量VAR模型的基础上,分别采用协整检验、脉冲响应和方差分解方法分析了国际原油价格对中国物价水平的影响.结果显示：国际石油价格冲击对中国物价水平的影响是显著的,对中国生产者物价水平的影响速度大于对消费者物价水平的影响,对中国生产者物价水平的影响程度大于对消费者物价水平的影响.     

Transaction duration and asymmetric price impact of trades—Evidence from Australia

This paper investigates the asymmetric price impact of buyer and seller initiated trades and the informational role of the trade duration. Using trade data from the Australian Stock Exchange (ASX), our results indicate that buyer initiated trades increase the ask price more than the bid price, and seller initiated trades decrease the bid price more than the ask price. The transaction duration is modeled in a Box-Cox ACD framework. The unexpected portion of the duration is found to play a more significant role in causing price impact in both purchases and sales than the expected duration. A trade shortly after the previous trade results in higher price impact than one after a long period. We found evidence that increased trading activity is associated with larger price impact, therefore implying a higher degree of information-based trading.     

What Drives Target Price Forecasts and Their Investment Value?

This paper examines the informativeness of analysts’ target price forecasts by relating the investment value of target prices to their primary drivers. Decomposing target price forecasts into near‐term earnings forecasts and price‐to‐earnings ratio forecasts, we show that target price revisions reflect information from both components. In addition, we also find that the relative importance of each component in target price revisions is related to firm characteristics. A portfolio based on target price implied expected returns delivers significant abnormal returns. More importantly, we find that the abnormal returns are associated with both earnings and price‐to‐earnings forecasts, which suggests that the informativeness of target price forecasts comes not only from analysts’ ability to forecast short‐term earnings but also from their ability to assess risk and long‐term growth prospect implied in price‐to‐earnings forecasts.     

Seller Over-Pricing and Listing Contract Length: The Effects of Endogenous Listing Contracts on Housing Markets

This paper examines how seller pricing decisions influence listing contract length and how these decisions affect price and liquidity in housing markets. Because list price affects broker effort required to sell the property, brokers respond to seller overpricing by increasing the negotiated listing contract length. At the same time, sellers respond to longer listing contracts by adjusting their list price strategy. Both list price and length of marketing time affect broker sales effort and therefore a property’s realized selling price and liquidity. Analysis of house transaction data from Virginia indicates that greater over-pricing by sellers prompts brokers to pursue longer listing contracts, which subsequently lengthen marketing time but increase selling price. The results reveal a novel transmission mechanism from higher list price (which induces longer contracts) to selling price and liquidity.     

Which Daily Price is Less Noisy?

The daily efficient price is the price that would prevail if the market were frictionless. I show that volume-weighted average price (VWAP) provides a less noisy estimate for the unobservable efficient price as compared to the closing price. The variance of daily returns computed with VWAPs is smaller than that computed with closing prices. The difference between these two realized variances is economically significant. The volatility of log closing price change tends to understate the beta risk and Sharpe ratio. A higher noise level in the closing price leads to derivative prices that favor option and volatility-related swap writers.     

基于VAR的我国产业间价格传导实证分析

价格传导机制是价格机制作用于微观经济主体、发挥资源配置功能的重要载体。我国顺向价格传导机制在工业品出厂价格指数向居民消费物价指数传导环节出现阻滞,而逆向价格传导机制则比较顺畅。这表明我国当前基本不存在成本推动型通货膨胀的价格传导条件,而需求拉上型通货膨胀的价格传导机制却比较顺畅。     

ARE PRICE LIMITS EFFECTIVE? EVIDENCE FROM THE ISTANBUL STOCK EXCHANGE

There is considerable discussion about controlling volatility by imposing price limits on asset prices. We examine the effects of price limits on a stock market by testing the volatility spillover, delayed price discovery, and trading interference hypotheses in a leading emerging market, the Istanbul Stock Exchange, which has a unique market microstructure as related to price limits. Our results support the volatility spillover, delayed price discovery, and trading interference hypotheses. We also show price locks at limits provide significantly stronger evidence regarding the effects of price limits than limit moves only. Finally, price limits have a significant effect on the stock market, casting doubt on their effectiveness.     

运用Matlab基于LSM方法对羹式期权定价的新探究

传统期权定价方法是通过主观假定初始价格、执行价格、期限、波动率、无风险利率等条件来对期权进行定价,很少联系实际的期权市场报价对期权进行定价。本文根据股票期权市场报价,通过Matlab快速方便地求解出隐含的波动率和无风险利率,并在此基础上运用Matlab基于最／bZ．乘蒙特卡洛模拟（LSM）方法对该股票的美式期权进行定价。本文揭示了如何根据期权市场报价实现隐含波动率和无风险利率的求解,进而结合LSM方法对美式期权进行定价的一种新方法。此外,本文对LSM方法的改进技术也进行了探讨。