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We use account-level data from the Shenzhen Stock Exchange to show that daily price limits, a widely adopted market stabilization mechanism, may lead to unintended, destructive market behavior: large investors tend to buy on the day when a stock hits the 10% upper price limit and then sell on the next day; and their net buying on the limit-hitting day predicts stronger long-run price reversal. We also analyze a sample of special treatment (ST) stocks, which face tighter 5% daily price limits, and provide a causal validation from comparing market dynamics before and after they are assigned the ST status.
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This book focuses on autonomous marine vessel systems and control approaches. In particular, it mainly contains modeling, analysis and control design methodologies for covert stabilization control, trajectory tracking control, and cooperative formation control of AMVs. The comprehensive and systematic treatment of practical issues in autonomous marine vessel systems is one of the book's significant features, particularly suited for readers interested in learning control problems in AMV and other related topic areas like mobile robots and vehicles. The book can benefit researchers, engineers, and graduate students in mathematical skills, methodologies, and algorithms needed in the analysis and control design for tracking and stabilization, cooperative control of surface vessels and underwater vehicles. Through the book, readers can have a deeper understanding of such fields.
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We use account-level data from the Shenzhen Stock Exchange to show that daily price limits, a widely adopted market stabilization mechanism, may lead to unintended, destructive market behavior: large investors tend to buy on the day when a stock hits the 10% upper price limit and then sell on the next day; and their net buying on the limit-hitting day predicts stronger long-run price reversal. We also analyze a sample of special treatment (ST) stocks, which face tighter 5% daily price limits, and provide a causal validation from comparing market dynamics before and after they are assigned the ST status.
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Despite the dominance of retail investors in the Chinese stock market, there's a conspicuous absence of price momentum in weekly and monthly returns. This study uncovers the presence of price momentum in daily returns and, through a systematic analysis of trading heterogeneity among investors, links daily momentum to the attention and trading activities of new investors--a phenomenon particularly significant in emerging stock markets. Furthermore, our findings indicate the existence of daily price momentum in various other emerging markets, contrasting with its relative scarcity in developed ones.
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By exploiting variation in state capital gains taxation as an instrument, we analyze the economic consequences of housing speculation during the U.S. housing boom in the 2000s. We find that housing speculation, anchored, in part, on extrapolation of past housing price changes, led not only to greater price appreciation, economic expansions, and housing construction during the boom in 2004-2006, but also to more severe economic downturns during the subsequent bust in 2007-2009. Our analysis supports supply overhang and local household demand as two key channels for transmitting these adverse effects.
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