Culture and experience associate A with superior quality. In the marketing of dual-class IPOs, issuers are mindful of this preference. For years after IPO issuance, inferior voting rights shares labeled Class A enjoy higher market valuations and smaller voting premiums than do Class B shares.

This paper explores the widespread perception of insurers as bad payers, often accused of unjustly rejecting legitimate claims. We explore the mechanisms leading to this negative image by examining the strategic “nitpicking” behaviour of insurers. Such behaviour involves an insurer’s effort to find evidence that can help it cut the indemnities of honest claims. Our findings reveal that this nitpicking behaviour only arises in markets with asymmetric information, where policyholders are unable to observe insurers’ nitpicking strategies. Conversely, in markets with symmetric information, insurers lose the incentive to engage in nitpicking. Moreover, our study highlights that nitpicky behaviour leads to a reduction in welfare and Pareto-inefficiency. This is because nitpicking is essentially an overpriced gam- ble that charges lower premiums from policyholders at a no-loss state, but cuts actual indemnities received by policyholders at a loss state.

The study introduces 'earnings purity,' a concept based on the 'gold content' of target earnings, to evaluate its impact on merger and acquisition (M&A) premiums. Our findings reveal that targets with higher earnings purity command increased valuations and premiums. Further analysis of the information effects uncovers a U-shaped relationship between earnings purity and negotiation duration, suggesting that elevated premiums might not always be justified. The heterogeneity test indicates that the effect of a target firm's earnings purity on M&A premiums is more pronounced in cross-border and inter-industry M&As. However, it is less influential in cases with larger target firms and better external conditions. These results highlight the dual aspects of M&As, presenting them as both advantageous and potentially hazardous.

There is mixed evidence of a positive relationship between the stock market risk and return. We reexamine this critical implication of asset pricing theory using fresh data from China's stock market, which is largely segmented from the rest of the global financial market. Using formal variable selection methods and a comprehensive set of predictor variables, we identify conditional market variance, scaled market prices, and inflation as crucial determinants of equity premiums. The estimated simple risk-return relationship exhibits downward omitted variable bias, which underlines the importance of considering multiple factors to explain the variation in equity premiums. We cannot wholly attribute the three-factor conditional equity premium model to data mining, as Guo, Sanni, and Yu (2022) select the same model for the U.S. stock market. These findings challenge existing asset pricing models and provide valuable guidance for future theoretical research.

This paper investigates the effect on A–H premiums of the China Stock Connect, which allows the Mainland to invest in H-shares in Hong Kong (Southbound) and overseas to invest in A-shares in the Mainland (Northbound). It removes barriers to investor trading all crosslisted A- and H-shares but leads to them an enlarged premium. We develop the differential demand hypothesis of Stulz and Wasserfallen (1995) in China and identify the elasticities of Stock Connect relying on the demand asset pricing of Koijen and Yogo (2019). We ffnd that the average elasticity of Northbound (A-shares) is 0.18, and that of Southbound (H-shares) is 0.66, implying that A-H shares have different levels of substitute effect for investors on each side of Stock Connect, leading to the long-term premium. On a univariate basis, they explain 20% of the variation of the A-H premium and remain highly signiffcant when controlling other variables. We also estimate the cross-listed and time-varying elasticities of Stock Connect. They illustrate the strong positive spillover effect of A-H shares and check the robustness of our results.

We study the relationship between common factor betas and the expected overnight versus intraday stock returns. Using data from the Chinese A-share markets, we find that the Fama-French five-factor betas and expected returns exhibit contrasting relationships overnight versus intraday. The market, value, and profitability factors earn positive beta premiums overnight and negative premiums intraday, while the size and investment factors’ beta premiums behave oppositely. The night and day factor beta premium differentials are more muted among stocks with higher investor sophistication and vary across macroeconomic conditions. The contrasting day and night beta premiums extend to some other common factors and Chinese B shares, and vary their signs for some factors in the U.S. market.

This paper compares Chinese firms’ IPO performance both in the short- and the long-run on domestic and overseas markets and investigates what factors determine the IPO destinations of Chinese firms. We find China’s domestic IPO market performs well over both time horizons, while some listings in the overseas market perform well in the long run except for small- and mid-cap listings in the US. Analysis based on a capital asset pricing model reveals IPO premiums and short-term returns are less affected by three common risk factors, while longer term returns are mainly driven by market fundamentals. Investigation of the drivers for Chinese firms’ IPO destinations using the binary choice model shows that firm specifics, institutional setups, and market characteristics influence the choice of IPO destinations. The prospect of a high IPO premium and strong trading in IPO shares are substantial drivers for firms to list their shares onshore. On the other hand, indicators of market size and profitability appear to have the highest predictive power for the likelihood of overseas listings, followed by firm’s ownership structure, IPO offering size and IPO underwriting costs. Institutional setups have the least predictive power for overseas listings. These results are in general robust to domestic delisting and IPO suspension events.

This paper documents a stock-dividend premium of around 10% when controlling for optimistic earnings growth and liquidity improvement. We propose an alternative explanation for the effect of stock dividends from the perspective of investor recognition. First, we find that stock-dividend premiums are positively related to an increase in investor base, particularly for firms with a small investor base. Second, an increase in investor base is due to individual investors, as they, especially those with a stronger propensity to gamble, are net buyers around the announcement of stock dividends, while institutional investors behave in the opposite manner. Finally, we show that after paying stock dividends, firms experience significant increases in speculative features, which are caused by clientele shifts toward individual investors as opposed to the undertaking of riskier projects by managers. As a whole, our results also indicate that an increase in investor base could be related to investors’ gambling preferences.

This paper examines the efficiency of prediction markets by studying the markets for catastrophe (CAT) bonds, compared to previous studies of prediction markets that used small-scale observational field data or experiments. We collect actual catastrophe loss data, match the defined trigger events of each CAT bond contract, and then employ an empirical pricing framework to obtain the excess CAT premiums in order to represent the market-based forecasts. Our results indeed show that the market-based forecasts have more significantly predictive content for future CAT losses than professional forecasts that use natural catastrophe risk models. Although the predictive information for CAT events is specialized and complex, our evidence supports that CAT bond markets are successful prediction markets that efficiently aggregate information about future CAT losses. Our results also highlight that actual CAT losses in future periods can explain the excess CAT bond spreads in the primary market and provide evidence of market efficiency when pricing CAT risk.

This paper documents a stock-dividend premium of around 10% when controlling for optimistic earnings growth and liquidity improvement. We propose an alternative explanation for the effect of stock dividends from the perspective of investor recognition. First, we find that stock-dividend premiums are positively related to an increase in investor base, particularly for firms with a small investor base. Second, an increase in investor base is due to individual investors, as they, especially those with a stronger propensity to gamble, are net buyers around the announcement of stock dividends, while institutional investors behave in the opposite manner. Finally, we show that after paying stock dividends, firms experience significant increases in speculative features, which are caused by clientele shifts toward individual investors.. As a whole, our results also indicate that an increase in investor base could be related to investors' gambling preferences.