This paper provides evidence on how the new international regulation on Global Systemically Important Banks (G-SIBs) impacts the market value of large banks. We analyze the stock price reactions for the 300 largest banks from 52 countries across 12 relevant regulatory announcement and designation events. We observe that the new regulation negatively affects the value of the newly regulated banks, yet that the official designation of banks as “globally systemically important” itself has a partly offsetting positive impact. A cross-sectional analysis of the valuation effects with respect to, for example, government ownership of banks supports the view that the positive reaction to these designations can be attributed to a Too-Big-to-Fail (TBTF) perception by investors. The fact that these valuation effects emerge from a regulation specifically designed to reduce the costs and risks of Too-Big-to-Fail demonstrates the inherently paradoxical nature of the new regulation. These results further suggest that even though the individual components of the regulation have been effective, revealing the identities of G-SIBs eliminated ambiguity about the presence of government guarantees, and thereby may have run counter to the regulators’ intent to contain the effects of TBTF.

This study examines the stock-picking ability of mutual funds in China using evidence from the IPO market. We hypothesize that the decision to invest in the IPO market contains positive information about a fund’s underlying expectation of newly listed firms’ future prospects. Using residuals from a model on the determinants of mutual funds purchases in the IPO market as proxy for consensus expectations, we find that IPO firms with high residual funds have significantly better stock returns and operating performance than those with low residual funds. In other words, residual funds can predict IPO future performance. These results are also robust to different specifications and alternative explanations such as mutual fund preferences or monitoring effects.

The paper examines the performance of US no-load equity mutual funds. Fund performance is derived using stochastic frontier analysis for a flexible functional form. This analysis allows us to derive parametric estimates of efficiency scores for each fund in our sample for the first time in the literature. Our results indicate that US no-load equity funds display varying levels of efficiency over time but also depending on size and on investment style. Robustness analysis reaffirm the efficiency scores remain consistent across different selections of inputs and outputs as well as the underlying distribution of the return. Having estimated each fund’s efficiency in the sample we unveil their underlying dynamics, also with respect to risk and operational characteristics such as flows, assets, and Morningstar star ratings. Panel-VAR estimations reveal that the response of funds’ efficiency to a shock in risk is positive and substantial. Some evidence of reverse causality is also observed. Finally, we extend our analysis to investigate the relationship between funds performance and key covariates across subgroups defined by size.

We study how Chinese private entrepreneurs benefit from participating in politics. Using original hand-collected data on listed firms controlled by private entrepreneurs, we document a significant positive relationship between political participation and subsequent change in firm performance. We also provide evidence that the change in social status cannot explain the change in performance. We then identify several ways through which firms gain preferential treatment when the controlling entrepreneur participates in politics: better access to debt financing, preferential tax treatment, more government subsidies, and superior access to regulated industries.

In light of the ongoing restructuring of the European banking industry and the challenging macroeconomic environment, banks have increased their efforts to reduce operating costs. Yet, the institutional features that affect banks’ ability to adjust costs and in particular personnel expenses, which comprise a significant part of banks’ non-interest cost structure, have not been adequately studied. This paper investigates the effect of labour market institutions and regulations on bank performance in 15 European countries over the period 2005–2010, using the Fraser index for labour regulation and its disaggregated sub-components. We propose a novel methodology to measure performance, based on the seminal work of Kumbhakar and Tsionas (2005), which allows the estimation of technical and allocative efficiency and the examination of the effect of labour market regulations in a single stage. Results indicate the existence of a positive relationship between the liberalisation of EU labour markets and allocative efficiency, while the effect on technical efficiency appears to be negative, although not statistically significant. When looking at the disaggregated components of the labour index, we further confirm that different forces are at play.

This paper tests for herding towards the market consensus for US and UK leading stocks, and to the best of our knowledge addresses a gap in the literature regarding the importance of major fundamental macroeconomic announcements. The results indicate that US investors tend to herd during days when important macro data are released, and that there have been herding spill-over effects from the US to the UK during earlier financial crises. Further results reveal more differences in herding behavior between the two markets: in the US we find that investors herd due to both fundamentals and non-fundamentals during different crises, when in the UK there is herding only due to fundamentals and only during the Dotcom bubble burst. These results suggest that the drivers of herding behavior are period and country specific.

This paper develops a new methodology for constructing a real estate price index that utilizes all transaction price information, encompassing both single-sales and repeat-sales. The method is less susceptible to specification error than standard hedonic methods and is not subject to the sample selection bias involved in indexes that rely only on repeat sales. The methodology employs a model design that uses a sale pairing process based on the individual building level, rather than the individual house level as is used in the repeat-sales method. The approach extends ideas from repeat-sales methodology in a way that accommodates much wider datasets. In an empirical analysis of the methodology, we fit the model to the private residential property market in Singapore between Q1 1995 and Q2 2014, covering several periods of major price fluctuation and changes in government macroprudential policy. The index is found to perform much better in out-of-sample prediction exercises than either the S&P/Case-Shiller index or the index based on standard hedonic methods. In a further empirical application, the recursive dating method of Phillips et al. (2015a,b) is used to detect explosive behavior in the Singapore real estate market. Explosive behavior in the new index is found to arise two quarters earlier than in the other indices.

A large number of newly listed firms have significant involvement in international business activity. In this paper, we examine the effect of international business activity on the pricing of initial public offerings (IPOs), post-IPO performance, and survival. In a large sample of U.S. IPOs over 1981–2012, we find that firms with exports and/or foreign sales prior to going public have significantly lower underpricing than firms without international business activity. Furthermore, firms with international business activity significantly outperform purely domestic IPO firms over 3- and 5-year periods after going public and have a significantly higher survival rate. Overall, we provide strong evidence that global diversification has an economically significant effect on the valuation and subsequent performance of firms going public.