Insiders maintain voice: A psychological safety model of organizational politics

We present a psychological safety model of organizational politics to account for the effects that exposure to organizational politics has on voice behavior. In particular, we hypothesize that psychological safety mediates the negative relation between organizational politics, as perceived by employees, and their voice behavior. Moreover, we examine the extent to which perceived insider status alleviates the main effect of organizational politics and the indirect effect of psychological safety. Using a sample of 283 supervisor–subordinate dyads in six electronic companies at two time points in China, our results fully support the hypotheses and provide new directions for politics and voice research.     

Clustering of cultural industries in Chinese cities

This study is the first empirical research on understanding the determinants of the concentration of cultural industries (CIs) in cities in China. What factors of the urban environment are important for attracting the location of CIs? How is the development of CIs in a city influenced by its neighbouring cities and its early development? To answer these questions, three types of spatial panel models – the spatial lag model, the spatial error model and the spatial dynamic panel model – are employed using the urban statistics for China from 2003 to 2009. Human capital, diversified industrial structure and transportation and communication infrastructure are significant factors contributing to the development of CIs. The empirical findings reveal the presence of positive spatial spillovers among cities, which suggests that promoting CIs in one city benefits other cities. Also, the evidence suggests the presence of temporal spillovers, implying that the early concentration of CIs in a city tends to attract more CIs in that city.     

A robust textual analysis of the dynamics of Hong Kong property market

Market sentiments influence the dynamics of Hong Kong’s macro-critical property market, but the unobservable nature of market sentiments makes it difficult to systemically assess this sentiment channel. Using text mining techniques, this paper sets up a news-based property market sentiment index and a Google Trends-based buyer incentive index for Hong Kong and studies the sentiment channel of transmission in the Hong Kong property market. The news-based property market sentiment index can reflect the change in sentiments in past key events, with the sentiments in the primary market tending to lead that of the secondary market during the low housing supply period. For the Google Buyer Incentive Index, we find that it has value-added in forecasting (or nowcasting) the official property price index. In mapping out the sentiment channel using a structural vector-autoregressive model, we find that an improvement in market sentiments could stimulate buyers’ incentives, which then together would affect property prices and transaction volumes.     

What firm risk factors drive bank loan pricing and other terms? Evidence from China

This study investigates how firm risk factors affect bank loan pricing. Although firm-specific stock price crash risk affects bank loan costs directly, it also prompts other risks, including financial restatement and litigation, which in turn trigger higher bank loan costs. Strong internal and external governance mechanisms help reduce agency problems and improve information transparency, alleviating the adverse effect of stock price crash risk on loan costs. Our results confirm that bankers take good corporate governance into account in their bank loan decisions. We also show that bond investors price the adverse effect of stock price crash risk, prompting higher corporate bond costs. Futher evidence suggests that banks impose stricter non-price terms, such as smaller loan size, shorter loan maturity, and a higher likelihood of collateral requirement, on firms with higher crash risk.     

Client corruption culture and audit quality: the conditioning effect of the competitive position of the incumbent auditor

Review of Quantitative Finance and Accounting - Prior research suggests that corporate corruption culture captures an audit client’s general attitude towards opportunistic behavior. In this...     

Do uninformed traders move prices? Evidence from the Bank of Japan's ETF purchasing program

Using the Bank of Japan (BoJ) ETF purchasing program as an exogenous shock to stock demand, we find that stocks with a higher BoJ demand experience higher positive abnormal returns on BoJ ETF purchase dates, which only partially revert in the long term. Our findings support the hypothesis that stocks have a downward-sloping demand curve, implying that uninformed traders can cause a permanent shift in price.     

Financial dependence and exports: Entrants or incumbents?

Using firm-level customs data from 51 countries at different levels of development, we explore differential impacts of access to finance on incumbent and new exporters. Consistent with the literature, firms in sectors more dependent on external finance have higher exports based in financially more developed countries. This effect, however, occurs entirely through entrants, with no effect found for incumbents. The trade response of entrants works primarily through the extensive margin (number of exporters) rather than the intensive margin (average size). We further find access to external finance affects exporter entry rates while it does not affect exporter exit rates.     

Improving risk classification and ratemaking using mixture-of-experts models with random effects

In the underwriting and pricing of nonlife insurance products, it is essential for the insurer to utilize both policyholder information and claim history to ensure profitability and proper risk management. In this paper, we apply a flexible regression model with random effects, called the Mixed Logit-weighted Reduced Mixture-of-Experts, which leverages both policyholder information and their claim history, to categorize policyholders into groups with similar risk profiles, and to determine a premium that accurately captures the unobserved risks. Estimates of model parameters and the posterior distribution of random effects can be obtained by a stochastic variational algorithm, which is numerically efficient and scalable to large insurance portfolios. Our proposed framework is shown to outperform the classical benchmark models (Logistic and Lognormal GL(M)M) in terms of goodness-of-fit to data, while offering intuitive and interpretable characterization of policyholders' risk profiles to adequately reflect their claim history.     

Intelligence promotes cooperation in long-term interaction: experimental evidence in infinitely repeated public goods games

Journal of Economic Interaction and Coordination - A growing body of literature in experimental economics examines how cognitive ability affects cooperation in social dilemma settings. We...