控制权协议转让的交易规则主要分为市场规则（又称私下谈判规则）和同等权利规则，市场规则是我国上市公司控制权协议转让的主要交易规则。本文认为，制度环境对交易规则有重要影响，同样的交易规则在不同的制度环境下会产生不同的效率结果。本文着重分析了制度环境中外部治理环境的差异对市场规则成本的影响，通过建立市场规则的成本分析模型，对市场规则在不同外部治理环境下的成本进行了比较，结果表明，在较差的外部环境下，市场规则会导致较高的交易成本，从而降低控制权协议转让的效率。然后，本文在理论分析的基础上，运用上市公司的经验数据对我国市场规则下控制权协议转让的整体效率进行了检验，实证结果验证了理论分析的结论。本文的政策含义是：交易规则与制度环境之间缺乏必要的耦合将导致资源配置效率的降低。

Firm diversifications are prevalent in many emerging economies in contrast to the practices in developed economies. A fundamental difference between these two types of economies is the existence of sound economic institutions including in particular property rights protection. Indeed it has been argued that diversified firms may thrive in situations of poor economic institutions, but much research is needed to substantiate this idea. In this paper, using a survey data set of private enterprises in China, we examine whether cross-region variations in the degree of property rights protection a¤ect the extent of firm diversification. We find that poorer property rights protection causes firms to be more diversi?ed. We then explore several possible mechanisms through which property rights protection may affect firm diversification.

随着我国资本市场的日益成长壮大，直接融资的比例不断提高，吸存与放贷的难度越来越大，大量优质客户也开始转向资本市场直接融资，城商行受到“银行脱媒”的挤压影响越来越严重。在这种情况下，城商行只有着眼未来，不断深化改革，融入区域经济，加强同业合作，努力实现金融创新，才能在激烈的竞争中缩小与对手的差距，形成独具特色的经营优势，走出一条符合自身特点的发展之路。

为了真正地把握、真实地理解马克思货币哲学，也就有必要首先发掘埋藏在文本中的马克思哲学所理解货币的立足地，只有找到了马克思货币哲学的这个前提，我们才有可能达到真实地理解马克思货币哲学的思想原貌。

With a sample of 504 IPO issuers over a period of 2002-2008 in China, this paper studies a previously ignored issue by examining the relationship between pre-IPO earnings management and underwriter reputation for issuers with different level of marketization. We document that underwriter reputation is negatively related to pre-IPO earnings management only if the issuer is highly marketized. Specifically, we find a significantly negative relationship between pre-IPO earnings management and underwriter reputation if the issuer is a non-state-owned enterprise (NSOE) issuer, a small-size issuer, or is listed on the Small and Medium Enterprise (SME) Board. No significant association is found for the state-owned enterprise (SOE) issuers, the large issuers, or Main Board issuers. We argue that the results are driven by the fact that issuers in the NSOE, small-sized, or SME market segment have more incentives to signal their earnings quality to avoid adverse selection by the investors, and/or reputable underwriters are more influential over their clients in mitigating earnings management.

The current study documents an interesting phenomenon that retail investors prefer to invest in stocks listed at the stock exchange that is geographically close to them in China. This pattern is robust when we control for the well-documented local bias within a country. Among companies with similar distances to both stock exchanges, investors still display a much stronger tendency to invest in locally-listed companies. Among stocks with similar distances to both stock exchanges, those listed in Shanghai (Shenzhen) co-move more in returns and volume, with the benchmark at the Shanghai (Shenzhen) stock exchange. Such a preference for local exchange seems not to be motivated by information advantage, because investors do not obtain abnormal returns from their trades on stocks listed nearby. Our findings provide additional evidence that non-information-based familiarity bias induces investment and that such investor biases and exchange-level sentiment influence asset price formation.

China launched her warrant market in August 2005 in the split share structure reform of listed companies. As up to now, equity trading on margin and short-sale of any form are still prohibited in China. This warrant market enables investors to trade on information that otherwise might be prohibitively expensive to trade on. The Chinese warrant market created top trading volume and turnover with only a handful of different warrants traded. This paper first studies the Chinese warrant market. Empirical evidence shows that the market prices of warrants are much higher systematically than the Black-Scholes prices with historical volatility. Moreover, the paper documents ample evidence that the one-dimensional diffusion model does not apply well in the Chinese warrant market. The prices of a warrant and its underlying asset do not support the monotonicity, perfect correlation and option redundancy properties. The paper also studies the cumulated gains of a delta-hedged warrant portfolio. In the Chinese warrant market, the cumulated delta-hedged gains for almost all expired warrants are negative. The negative gains are mainly driven by the volatility risk, and the trading values of the warrants for puts and the market risk for calls. The investors are trading some other risks in addition to the underlying risk.

Current integration and co-movement among international stock markets has been boosted by increased globalization of the world economy, and profit-chasing capital surfing across borders. With a reputation as the fastest growing economy in the world, China’s stock market has continued gaining momentum during recent years and incurred growing attention from academicians, as well as practitioners. Taking into account economic and geographical considerations, the US and Hong Kong are considerably the most comparable stock markets to China. As the usual vector error correction model (VECM) could overlook the long memory feature of cointegration residual series, which can in turn exert bias on the resulting inferences, we chose to employ a fractionally integrated VECM (FIVECM) in this paper to investigate the long-term cointegration relations binding China’s stock market to the aforementioned stock markets. In addition, by augmenting the FIVECM with multivariate GARCH model, the return transmission and volatility spillover between market return series were revealed simultaneously. Our empirical results show that China’s stock market is fractionally cointegrated with the two markets, and it appears that China’s stock market has stronger ties with its neighboring Hong Kong market than with the world superpower, the US market.

This study adopts the Markov-switching ARCH (hereafter SWARCH) model to examine the volatility nature and volatility linkages of four segmented Chinese stock indices (SHA, SZA, SHB, and SZB). Our empirical findings are consistent with the following notions. First, we find strong evidence of regime shift in the volatility of four segmented markets and SWARCH model appears to outperform standard GARCH family models. Second, although there are some common features of volatility switch in segmented markets, there exist a few difference: (i)compared with the A-share markets, B-share markets are more volatile and shift more frequently between high- and low-volatility states; (ii) B-share markets have longer stays at high volatility state than the A-share markets; (iii) the relative magnitude of the high volatility compared with that of the low volatility is much greater than the case in two A-share markets. Third, B-share markets are found to be more sensitive to international shocks, while the A-share markets seem immune to international spillovers of volatility. Finally, analyses of volatility spillover effect among the four stock markets indicate that the A-share markets play a dominant role in volatility in Chinese stock markets.

Two motivations of internal financing in business groups are studied using Chinese data: cross-financing to relieve severe financing constraints, and expropriation from minority shareholders in environments with weak corporate governance. We document the existence of both, and discuss their implications on both the efficiency and magnitude of intra-group financing. We find that, from the business group perspective, the internal capital market is most efficient when the groups are well governed and have a pressing need to mitigate external financing constraints.