Air pollution and executive incentive: Evidence from pay-performance sensitivity

Based on the China's non-state-owned listed corporates in 2014–2020, we adopt the real-time air quality index data published by the Ministry of Environmental Protection of China as the proxy of air pollution to examine how air pollution affects firm's CEO pay–performance sensitivity (PPS). The results of logistic regression show that air pollution is negatively correlated with the executives' PPS. We also find that industrial and regional characteristics is heterogeneous by exploring the interaction effect of CEO. In addition, our study indicates that the influence of air pollution on PPS is more significant in companies with improved performance and we provide a possible explanation of this based on the theory of resource category equivalence. The mechanism test shows that air pollution increases the firms' difficulty to motivate executives, it also destroys the effectiveness of compensation contracts and significantly reduces the PPS by increasing explicit and implicit incentive. Furthermore, we investigate the economic consequences of air pollution. Results show that air pollution would damages the firm value directly and also affect their PPS. Overall, our study reveals how air pollution affects executives' incentive, therefore provides policy support to developing countries to balance the relationship between economic development and environmental protection.     

Capitalized intangibles and financial analysts

We examine whether firms that capitalize a higher proportion of their underlying intangible assets have higher analyst following, lower dispersion of analysts’ earnings forecasts and more accurate earnings forecasts relative to firms that capitalize a lower proportion. Under Australian generally accepted accounting principles, capitalization of intangible assets has become increasingly ‘routine’ since the late 1980s. It is predicted that this experience leads Australian analysts to expect firms with relatively more certain intangible investments to signal this fact by capitalizing intangible assets. Our results are consistent with this. We find that capitalization of intangible assets is associated with higher analyst following and lower absolute earnings forecast error for firms with a stock of underlying intangible assets. Our tests suggest a weaker association between capitalization and lower earnings forecast dispersion. We conclude that there are benefits for analysts, for management to have the option to capitalize intangible assets. These findings suggest that IAS 38 Intangible Assets and AASB 138 Intangible Assets reduce the usefulness of financial statements.     

Stock-based compensation,financial analysts,and equity overvaluation

Review of Accounting Studies - Stock-based compensation (SBC) reduces the value of shareholder equity, ceteris paribus, and is a significant and growing expense for many firms. Despite its...     

Industry specialist auditors, outsider directors, and financial analysts

This study investigates the relationships among industry specialist auditors, outside directors, and financial analysts. Specifically, we examine the effect of analyst coverage on the association between auditor industry specialization and outside directorship. We find that outside directors are less likely to hire industry specialist auditors for firms with high analyst coverage than for firms with low analyst coverage. Our findings suggest that analyst coverage moderates outside directors’ demand for industry specialist auditors, that is, financial analysts may compete with industry specialist auditors to some extent in monitoring financial reporting process.     

Dynamic forecasting behavior by analysts: Theory and evidence

We develop a multi-period learning model to examine the relation between analysts’ forecasting behavior and their performance. In a competitive market for banking services, the surplus and the analyst's payoff, which is determined through bargaining, are convex in her reputation. The convexity of her payoff structure and the presence of employment risk lead to a U-shaped relation between the analyst's forecast boldness and prior performance and a positive relation between forecast boldness and experience. We find support for these predictions in our empirical analysis. Significant underperformers (outperformers) face higher (lower) employment risk and are more likely to issue bolder forecasts.     

How demand scale affect services exports? Evidence from financial development perspective

China's service trade is increasingly capable of "going out," but there are still problems of uneven and insufficient economic development. This study uses bilateral services trade data from 2000 to 2018 to conduct empirical testing using the extended mutual gravity model and the threshold effect model. The results show that (i) an expansion in the size of the domestic market can significantly boost a country's service exports, and the magnitude of the impact is rising year by year. (ii) The development of the financial sector can strengthen the local market effect by increasing demand, thus promoting foreign exports. Financial development has a positive moderating effect on the relationship between demand size and the exports of service trade. (iii) Under the influence of the level of financial development, there is a "threshold effect" of domestic market demand size on service exports. This threshold effect varies among different types of services and different country categories. This study provides macro evidence that the scale of demand affects service exports and has important theoretical implications for the formulation of national service trade policies.     

Social comparison of cost behaviour and financial analysts

We investigate whether social comparison of a firm’s reported selling, general and administrative (SG&A) expenses affects financial analysts’ information uncertainty (and their behaviour). Based on a sample of US firms, we examine whether similarity of a firm’s SG&A to an industry-specific peer-based benchmark (or social benchmark) is associated with analyst forecast dispersion, forecast error and coverage. For external observers, the SG&A relative to sales (SG&A ratio) is a key diagnostic of a firm’s cost behaviour, but interpretational ambiguity of the SG&A signal is likely to incentivise search for information-relevant external cues to set expectations about and assess a firm’s SG&A ratio. Higher similarity to the social benchmark is expected to attenuate information asymmetry between analysts and firms regarding firms’ ability to effectively control overheads, decreasing analyst information uncertainty about cost behaviour and performance. In line with a varying weights model for social comparison, we observe a negative association between SG&A similarity and both forecast dispersion and error of one-year-ahead earnings for firms with a prior SG&A ratio exceeding the social benchmark. Our findings also show a negative relationship between SG&A similarity and analyst coverage, especially for firms with a prior SG&A ratio exceeding the social benchmark.     

The behavior of financial analysts during the Asian financial crisis in Indonesia,Korea, Malaysia,and Thailand

This study investigates the behavior of a potentially influential class of market participants, the stock analysts, around the period of market crashes in four Asian countries. We find that analysts not only failed to anticipate the weaknesses in the firms they covered before the crash, they also failed to sufficiently adjust their forecasts after these markets crashed. Throughout the entire period of the study, the magnitudes of forecast errors were several times to that observed in the pre-crash period. However, we also do not find evidence of panic or herding on a large scale. Other issues investigated in this paper include the changes in coverage, changes in forecasts accuracy, the extent analysts agree and the patterns of their convergence for the sample. We also compare analyst forecasts for large versus small firms, and for high- versus low-growth/quality firms. A contribution to the literature is the cataloguing of models that may provide explanations for investors' expectations during a market crash.     

Competition and innovation: Evidence from financial services

This paper presents new evidence on the relationship between competition and innovation by extending previous literature from manufacturing to financial services. We introduce a new measure of overall innovation by estimating and enveloping annual minimum cost frontiers to create a global frontier. The distance to the global frontier constitutes each bank’s technology gap, which decreases if the bank manages to innovate. Our innovation measure enables us to derive and estimate the model of Aghion et al. (2005b) at the firm level for the US banking industry. Based on individual bank Call Report data for the period 1984–2004, consistent with theoretical and empirical work by Aghion et al., we find evidence of an inverted-U relationship between competition and innovation that is robust over several different specifications. Further evidence on major structural changes in the US banking industry indicates that banks moved beyond their optimal innovation level and that interstate banking deregulation resulted in lower bank innovation. Policy implications to financial reform and prudential regulation are discussed also.     

Real Estate Valuation and Cross-Boundary Air Pollution Externalities: Evidence from Chinese Cities

Within an open system of cities, compensating differentials theory predicts that local real estate prices will be higher in cities with higher quality non-market local public goods. In this case, more polluted cities will feature lower home prices. A city’s air pollution levels depend on economic activity within the city and on cross-border pollution externalities. In this paper, we demonstrate that air pollution in Chinese cities is degraded by cross-boundary externalities. We use this exogenous source of variation in a city’s air pollution to present new robust estimates of the real estate impact of local air pollution. We find that reductions in cross-boundary pollution flows have significant effects on local home prices. On average, a 10 % decrease in imported neighbor pollution is associated with a 0.76 % increase in local home prices. We also find that the marginal valuation of clean air is larger in richer Chinese cities, and hukou barrier of labor migration has been further phased out.     

Institutional development,financial deepening and economic growth: Evidence from China

There have been profound changes in both political and economic institutions in China over the last 20 years. Moreover, the pace of transition has led to variation across the country in the level of development. In this paper, we use panel data for the Chinese provinces to study the role of legal institutions, financial deepening and political pluralism on growth rates. The most important institutional developments for a transition economy are the emergence and legalization of the market economy, the establishment of secure property rights, the growth of a private sector, the development of financial sector institutions and markets, and the liberalization of political institutions. We develop measures of these phenomena, which are used as explanatory variables in regression models to explain provincial GDP growth rates. Our evidence suggests that the development of financial markets, legal environment, awareness of property rights and political pluralism are associated with stronger growth.     

Using implied volatility jumps for realized volatility forecasting: Evidence from the Chinese market

This study examines the Chinese implied volatility index (iVIX) to determine whether jump information from the index is useful for volatility forecasting of the Shanghai Stock Exchange 50ETF. Specifically, we consider the jump sizes and intensities of the 50ETF and iVIX as well as cojumps. The findings show that both the jump size and intensity of the 50ETF can improve the forecasting accuracy of the 50ETF volatility. Moreover, we find that the jump size and intensity of the iVIX provide no significant predictive ability in any forecasting horizon. The cojump intensity of the 50ETF and iVIX is a powerful predictor for volatility forecasting of the 50ETF in all forecasting horizons, and the cojump size is helpful for forecasting in short forecasting horizon. In addition, for a one-day forecasting horizon, the iVIX jump size in the cojump is more predictive of future volatility than that of the 50ETF when simultaneous jumps occur. Our empirical results are robust and consistent. This work provides new insights into predicting asset volatility with greater accuracy.     

Short selling and the independence of business-related analysts: Evidence from an emerging market

This paper investigates whether short-sale deregulation improves analysts' independence in an emerging market where conventional mechanisms mitigating conflicts of interest are either ineffective or absent. Short selling reduces the effectiveness of analysts' favourable opinions in creating or sustaining overvalued stock prices, thus decreasing the incentives of institutional clients of brokerages to exert pressure on related analysts to initiate coverage and issue biased opinions. Using a difference-in-difference approach, we find strong evidence that stocks that are eligible for short sales experience a greater reduction in coverage by related analysts than stocks that are ineligible for short sales. When covered firms become eligible for short sales, the quality of forecasts and recommendations issued by related analysts improves considerably. Further analyses show that shortable firms with a significant reduction in related analysts' coverage are more likely to underperform and to experience stock price crashes in the future. Altogether, our results are consistent with short selling effectively restoring related analysts' independence in emerging markets.     

Market liquidity risk factor and financial market anomalies: Evidence from the Chinese stock market

The Chinese stock market is an order-driven market and hence its characteristics are structurally different from quote-driven markets. There are no studies that consider the role of the market liquidity risk factor in determining cross-sectional stock returns in a model including financial market anomalies for order-driven markets. Our aim is to test whether financial market anomalies such as firm size, the book-to-market ratio, the turnover rate, and momentum both with and without the inclusion of the market liquidity risk factor in the case of the Chinese stock market can explain cross-sectional stock returns. The empirical framework is based on the model proposed by Avramov and Chordia (AC, 2006). Our main finding is that the AC model can capture financial market anomalies except momentum when we include the market liquidity risk factor on the Chinese stock market.     

Institutional ownership and monitoring: Evidence from financial misreporting

We find that the likelihood and severity of financial misreporting is positively related to aggregate institutional ownership and this effect can be largely attributed to ownership by institutions with short investment horizons — those with little incentive to engage in costly monitoring of firm activities and precisely those that sell at the announcement of a restatement. We also find that the concentration of holdings by these institutions offsets this effect, which suggests concentrated ownership induces greater monitoring and mitigates the incentives for firms to misreport. Our results suggest that any link between myopic firm decision making and institutional ownership may be related to the nature of institutional monitoring.     

Excessive financial services CEO pay and financial crisis: Evidence from calibration estimation

The questions of whether there ever existed excessive risk-taking incentives from executive compensation in the financial industry, and whether top executives of financial services firms actually responded to such excessive incentives that eventually led to the crisis remain unanswered. The prior research has attempted to answer the second question, however, with conflicting evidence and without a clear definition of excessive. To answer the first question, this paper uses a numerical calibration approach to estimate the optimal level of CEO pay and derive the excessive compensation which provides excessive risk-taking incentives. We then examine the extent of excessive compensation in the financial industry relative to the non-financial industries during the 2000s and whether there were changes in compensation practices between the post Sarbanes–Oxley period and the pre-crisis period. We find mixed evidence in favor of the presence of higher excessive pay in the financial industry, and the CEO compensation practices remained largely unchanged over time. In addition, the relation between excessive pay and excessive risk-taking in the financial industry is somewhat weak, suggesting that CEO compensation might not be a major cause for the crisis in 2008.     

Do financial factors affect the capital–labour ratio? Evidence from UK firm-level data

This paper analyses how firms’ capital–labour ratio is affected by cash flow, leverage, and collateral, and how this effect differs at firms more and less likely to face financing constraints using a rich UK firm-level data set. It is common in the literature to examine the impact of financial constraints on hiring and firing decisions separately from their impact on decisions related to investment in physical capital. We argue that as long as firms use both inputs in production and there is some substitutability between them, the two decisions need to be jointly analysed. When we differentiate across firms that are more or less financially constrained, we find that the former group exhibits higher sensitivities of the capital–labour ratio to firm-specific characteristics compared to the latter.     

Internal financial constraints,external financial constraints,and investment choice: Evidence from a panel of UK firms

This paper uses a panel of 24,184 UK firms over the period 1993–2003 to study the extent to which the sensitivity of investment to cash flow differs at firms facing different degrees of internal and external financial constraints. Our results suggest that when the sample is split on the basis of the level of internal funds available to the firms, the relationship between investment and cash flow is U-shaped. On the other hand, the sensitivity of investment to cash flow tends to increase monotonically with the degree of external financial constraints faced by firms. Combining the internal with the external financial constraints, we find that the dependence of investment on cash flow is strongest for those externally financially constrained firms that have a relatively high level of internal funds.     

Stereotypes in financial literacy: Evidence from PISA

We examine gender differences in financial literacy among high school students in Italy using data from the 2012 Programme for International Student Assessment (PISA). Gender differences in financial literacy are large among the young in Italy. They are present in all regions and are particularly severe in the South and the Islands. Combining the rich PISA data with a variety of other indicators, we provide a thorough analysis of the potential determinants of the gender gap in financial literacy. We find that parental background, in particular the role of mothers, matters for the financial knowledge of girls. Moreover, we show that the social and cultural environment in which girls and boys live plays a crucial role in explaining gender differences. We also show that history matters: Medieval commercial hubs and the nuclear family structure created conditions favorable to the transformation of the role of women in society, and shaped gender differences in financial literacy as well. We discuss the changes that are needed to close the gap in financial knowledge among the young.     

The real effects of financial constraints: Evidence from a financial crisis

We survey 1,050 Chief Financial Officers (CFOs) in the U.S., Europe, and Asia to directly assess whether their firms are credit constrained during the global financial crisis of 2008. We study whether corporate spending plans differ conditional on this survey-based measure of financial constraint. Our evidence indicates that constrained firms planned deeper cuts in tech spending, employment, and capital spending. Constrained firms also burned through more cash, drew more heavily on lines of credit for fear banks would restrict access in the future, and sold more assets to fund their operations. We also find that the inability to borrow externally caused many firms to bypass attractive investment opportunities, with 86% of constrained U.S. CFOs saying their investment in attractive projects was restricted during the credit crisis of 2008. More than half of the respondents said they canceled or postponed their planned investments. Our results also hold in Europe and Asia, and in many cases are stronger in those economies. Our analysis adds to the portfolio of approaches and knowledge about the impact of credit constraints on real firm behavior.