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1 – 10 of 20Haoyu Gao, Ruixiang Jiang, Wei Liu, Junbo Wang and Chunchi Wu
This chapter investigates the effect of the geographical distance between institutional investors and firms on managers' financial misconduct. The evidence shows that the…
Abstract
This chapter investigates the effect of the geographical distance between institutional investors and firms on managers' financial misconduct. The evidence shows that the likelihood of committing financial misconduct by management is positively associated with distance. The distance effect is more prominent for firms with higher information asymmetry and more dedicated institutional investors. In line with the balance between risk-taking and benefit extraction from misconduct, the severity of financial misconduct is higher for firms closer to their institutional investors. Results show that geographical proximity can significantly reduce the cost of information production and facilitate monitoring through access to soft information.
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Lin Chen, Junbo Wang, Chunchi Wu and Hongquan Zhu
Although stock price co-movement has been examined extensively, its causes are not well understood. Using a decomposition method, we extract three information components from the…
Abstract
Although stock price co-movement has been examined extensively, its causes are not well understood. Using a decomposition method, we extract three information components from the turnover rate: market information, firm-specific information, and investors' opinion divergence. We find that market information strengthens stock price co-movement, whereas firm-specific information weakens it. Moreover, our analysis shows that divergence of investors' opinion increases stock price variations but weakens price co-movement.
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Peter Huaiyu Chen, Kasing Man, Junbo Wang and Chunchi Wu
We examine the informational roles of trades and time between trades in the domestic and overseas US Treasury markets. A vector autoregressive model is employed to assess the…
Abstract
We examine the informational roles of trades and time between trades in the domestic and overseas US Treasury markets. A vector autoregressive model is employed to assess the information content of trades and time duration between trades. We find significant impacts of trades and time duration between trades on price changes. Larger trade size induces greater price revision and return volatility, and higher trading intensity is associated with a greater price impact of trades, a faster price adjustment to new information and higher volatility. Higher informed trading and lower liquidity contribute to larger bid–ask spreads off the regular daytime trading period.
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Chaoqun Ma, Lan Liu, Junbo Wang and Jing Chen
The purpose of this paper is to examine the risk of inefficiency of China's stock index futures market by investigating the opportunity and profitability of exchange‐traded fund…
Abstract
Purpose
The purpose of this paper is to examine the risk of inefficiency of China's stock index futures market by investigating the opportunity and profitability of exchange‐traded fund (ETF) arbitrage. The explanation of behavioral risk to market efficiency is examined.
Design/methodology/approach
Based on cost‐of‐carry model, some assumptions about market efficiency were examined, and statistical tests were implemented to support the findings.
Findings
In China, borrowing and lending interest rates are quite different; dividends are small and paid in an irregular manner; and short sale cannot be used in arbitrage by all investors. It is found that the Chinese index futures market is far from efficient.
Originality/value
With reference to the empirical study, this is believed to be the first application of behavioral study to the study of market efficiency. The analysis of the statistics about Chinese index futures market and the algorithm parameters are very valuable for in‐depth understanding of the emerging markets.
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Hai Lin, Xinyuan Stacie Tao, Junbo Wang and Chunchi Wu
This chapter examines momentum in the corporate bond market using a comprehensive data set that includes bonds with different characteristics and provisions. We find that momentum…
Abstract
This chapter examines momentum in the corporate bond market using a comprehensive data set that includes bonds with different characteristics and provisions. We find that momentum exists in a wide range of corporate bonds. The momentum effect is more significant for callable bonds and lower-rated bonds. This effect cannot be explained by standard risk factors and liquidity in the bond market. Bond momentum prevails over time and remains strong even after the corporate bond market becomes more transparent and liquid with establishment of TRACE. The high magnitude of momentum profits casts doubt that they can be explained by risk-based theories.
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Haoyu Gao, Ruixiang Jiang, Junbo Wang and Xiaoguang Yang
This chapter investigates the cost of public debt for firms using a comprehensive sample consisting of 17,368 industrial bond issues from 1970 to 2011. The empirical evidence…
Abstract
This chapter investigates the cost of public debt for firms using a comprehensive sample consisting of 17,368 industrial bond issues from 1970 to 2011. The empirical evidence shows that yield spreads for seasoned bond issues are significantly lower than those for initial bond issues. This seasoning effect is robust across different sample periods, subsamples, and model specifications. On average, the yield spreads for seasoned bond issues are around 50 bps lower than those for initial bond issues. This difference cannot be explained by other bond and firm characteristics. The seasoning effect is more pronounced for firms with higher levels of uncertainty, lower information disclosure quality, and longer time intervals between the first and subsequent issues. Our empirical findings provide supportive evidence for the extant theories that aim to rationalize the information role in determining the cost of capital.
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Haoyu Gao, Ruixiang Jiang, Wei Liu, Junbo Wang and Chunchi Wu
Using initial public offering (IPO) involuntary delisting data, this chapter examines whether and how motivated institutional investors affect the survivability of IPO firms. The…
Abstract
Using initial public offering (IPO) involuntary delisting data, this chapter examines whether and how motivated institutional investors affect the survivability of IPO firms. The empirical evidence shows that the likelihood of future delisting is much lower for IPOs with more motivated institutional investors. This impact is more pronounced for firms with higher information asymmetry. The motivated institutional investors also facilitate better post-IPO operating performance. The results are consistent with the prediction of the limited attention theory.
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