Can Shareholders Be at Rest after Adopting Clawback Provisions? Evidence from Stock Price Crash Risk

Using a propensity score matched sample and a difference‐in‐differences research design, we find that stock price crash risk increases after a firm voluntarily incorporates clawback provisions in executive officers' compensation contracts. This heightened crash risk is concentrated in adopters that increase upward real activities‐based earnings management and those that reduce the readability of 10‐K reports. Based on cross‐sectional analyses, we also find that the increased crash risk is more pronounced for adopters with high ex ante fraud risk, low‐ability managers, high CEO equity incentives, and low dedicated institutional ownership. Collectively, our results suggest that the clawback adoption per se does not curb managerial opportunism but rather induces managers to use alternative channels for concealing bad news, which may contribute to a greater stock price crash risk; and the increase in crash risk is more likely in cases where incentives are strong or monitoring is weak. Our results should be of interest to regulators and policymakers considering the effects of clawback adoption on the investing public.     

Co-opted directors,gender diversity,and crash risk: evidence from China

Review of Quantitative Finance and Accounting - This study examines how the composition of the board of directors at Chinese firms affects crash risk. The results indicate that co-opted directors...     

Europe,Germany and “The German Model”: Economic Links and Implications for China

Abstract

In this paper, I examine the economic links first between the European Union (EU) and China and then I focus on the economic relationships between Germany and China. The links I will consider include international trade and direct investment. Lastly I highlight some elements of the so-called “German Model” or the “Berlin Way” and examine if they can be of policy relevance to China. There are four main results: first, EU-China trade and investment relationships are strong, deepening rapidly but they are somewhat unbalanced and asymmetric. Second, the economic relationships between Europe and China are focused on manufacturing. Third, the EU-China relationships are primarily Deutschland-centric. Lastly, elements of the “German Model” such as Mitbestimmung, Mittelstand and the German apprenticeship system can have important structural and policy implications as China continues to grow and experiment with reforms aiming at combining stability, harmony and competitiveness.     

Firm Size and Performance of Manufacturing Enterprises in P.R. China: The Case of Shanghai's Manufacturing Industries

This paper studies the relationship between firm size and technical efficiency of manufacturing enterprises in Shanghai's manufacturing sector from 1989 to 1992. Although our empirical results show that technical efficiency is increasing in the firm size, the group of the smallest enterprises (0–99 workers) have very high technical efficiency. The group of enterprises with size of 100–249.9 workers have the lowest technical efficiency while the largest size (1000 workers or above) group usually have the highest technical efficiency. Finally, technical efficiency computed from net industrial product has large upward biases compared with that computed from gross industrial product.     

Market Reaction to Corporate Social Responsibility Announcements： Evidence from China

This study uses an event study methodology to examine how the Chinese market reacts to announcements of involvement in corporate social responsibilitY （CSR） by Southern Weekend （a Chinese newspaper）for Chinese firms from 2008 to 2012. Our results show significant and pcsitive market reactions, supporting the instrumental stakeholder theory. We attribute the positive market response to social capital development and real growth options related to the CSR involvement by the Chinese firms.     

Forecasting volatility: Roles of sampling frequency and forecasting horizon

This study empirically tests how and to what extent the choice of the sampling frequency, the realized volatility (RV) measure, the forecasting horizon and the time‐series model affect the quality of volatility forecasting. Using highly synchronous executable quotes retrieved from an electronic trading platform, the study avoids the influence of various market microstructure factors in measuring RV with high‐frequency intraday data and in inferring implied volatility (IV) from option prices. The study shows that excluding non‐trading‐time volatility produces significant downward bias of RV by as much as 36%. Quality of prediction is significantly affected by the forecasting horizon and RV model, but is largely immune from the choice of sampling frequency. Consistent with prior research, IV outperforms time‐series forecasts; however, the information content of historical volatility critically depends on the choice of RV measure. © 2010 Wiley Periodicals, Inc. Jrl Fut Mark     

Multivariate Cox Hidden Markov models with an application to operational risk

ABSTRACT

Modeling multivariate time-series aggregate losses is an important actuarial topic that is very challenging due to the fact that losses can be serially dependent with heterogeneous dependence structures across loss types and business lines. In this paper, we investigate a flexible class of multivariate Cox Hidden Markov Models for the joint arrival process of loss events. Some of the nice properties possessed by this class of models, such as closed-form expressions, thinning properties and model versatility are discussed in details. We provide the expectation-maximization (EM) algorithm for efficient model calibration. Applying the proposed model to an operational risk dataset, we demonstrate that the model offers sufficient flexibility to capture most characteristics of the observed loss frequencies. By modeling the log-transformed loss severities through mixture of Erlang distributions, we can model the aggregate losses. Finally, out-of-sample testing shows that the proposed model is adequate to predict short-term future operational risk losses.     

Effect of Money Supply on Real Output and Price in China

Over the past 30 years, China has achieved remarkable long-term economic growth. Using quarterly data, we study the effects of money supply on real output and inflation in China between 1993 and 2008. To this end, we use money supply shocks afler filtering out the expected component of the money supply. Our findings provide evidence supporting the asymmetric effect of positive and negative money supply shocks on real output and inflation in China. That is, real GDP growth in China responds to negative money supply shocks but not positive money supply shocks. In addition, inflation responds to positive money supply shocks but not negative money supply shocks. We conclude that the People＇s Bank of China＇ s policy of steady monetary growth appears to be appropriate. Our study offers important policy implications for China.