Board gender composition and waste management: Cross-country evidence

Extant literature on board gender diversity focuses on the main pillars of sustainability while ignoring the important subdimension – waste management. Using a sample of 8365 firm-year observations for the period 2002–2017 from 37 countries, we provide novel empirical evidence that board gender diversity significantly reduces (increases) waste generation (waste recycling) in firms. We also note that the impact is significant with two or more female directors and is primarily driven by female directors’ independence. Moreover, the relationship is moderated by the masculinity dimension of national culture and sustainable compensation policies. Our analysis also shows that waste management activities of gender-diverse boards accompany the better financial performance. Our findings are robust to several identification strategies and estimation techniques. Our study provides new insights into the governance–sustainability nexus and presents important policy implications for regulators across countries.     

Contemporaneous ADR pricing: intraday dynamics during overlapping trading hours

We contribute to the literature by identifying and accurately measuring the drivers of American depositary receipt (ADR) returns contemporaneously across various global time zones. We consider ADRs as two inherently distinct asset classes – stocks and currencies – bundled into one. Throughout, we use a relatively refined, focused, and synchronized minute-by-minute data set on ADRs and all other variables. ADRs from all countries with regular trading hours that overlap with those of the US are considered individually and in clusters. We analyze the interplay of several factors that influence ADRs pricing patterns. Further, we investigate whether such patterns vary by currency, ADR, industry, and emerging/developed market classifications. Our findings indicate that synchronized returns on underlying shares comprise 68.5–74% of the explained returns in ADRs. The remaining 31.5–26% of returns are generated by movements in currency rates. These results are robust across the several models and estimation methods employed. Our findings also show persistent small price discrepancies between ADRs and dollar-adjusted underlying shares on a minute-by-minute basis, implying possible arbitrage opportunities. However, we conclude that trading and ADR conversion costs render such opportunities unattractive.     

Examining the Effect of Globalization on Insurance Activities in Large Emerging Market Economies

This study applies the cross-sectionally augmented distributed lag long-run estimation technique alongside bootstrap panel Granger causality testing to examine the impact of globalization on insurance market activities in large emerging market economies. Economic, social and political globalization indices are considered separately. Two alternative measures of globalization (de facto and de jure) are also used in each case for our estimations. The empirical results confirm the following; first, empirical outcomes are slightly sensitive to the choice of globalization measure used. Second, cross-sectional dependence and cross-country heterogeneity exist among large emerging market economies. Third, causality varies across large emerging economies with different conditions. We make a case for de facto measures as the most appropriate since they reflect actual practices rather than policy claims. We thus reach the conclusion that all dimensions of globalization positively impact life and non-life insurance density.     

Simultaneous borrowing of information across space and time for pricing insurance contracts: An application to rating crop insurance policies

Changing climate and technology can often lead to nonstationary losses across both time and space for a variety of insurance lines including property, catastrophe, health, and life. As a result, naive estimation of premium rates using past losses will tend to be biased. We present three successively flexible data‐driven methodologies to nonparametrically smooth across both space and time simultaneously, thereby appropriately incorporating possibly nonidentically distributed data into the rating process. We apply these methodologies in estimating U.S. crop insurance premium rates. Crop insurance, with global premiums totaling $4.1 trillion in 2018, is an interesting application as losses exhibit both temporal and spatial nonstationarity. We find significant borrowing of information across both time and space. We also find all three methodologies improve both the stability and accuracy of crop insurance premium rates. The proposed methods may be of relevance for other lines of insurance characterized by spatial and/or temporal nonstationary losses.     

A shot in the arm: Economic support packages and firm performance during COVID-19

We use firm-level data to provide some early evidence on the effectiveness of COVID-19 economic policy packages. Our empirical strategy relies on the varying degree of vulnerability to the pandemic across industries. We find a robust association of fiscal support with changes in firm performance indicators (as measured by sales-to-assets ratio, profit margin, interest coverage ratio as well as probability of default) in pandemic-prone sectors. We also observe marginal effects of monetary policy on the sales-to-assets ratio and of foreign exchange intervention on the interest coverage ratio in the hardest-hit firms. These results broadly survive a battery of exercises to address endogeneity. Additionally, we show that firms with a better financial position are more likely to take advantage of the support packages to withstand the pandemic shock. Overall, this preliminary evidence suggests that policy interventions have bought time for the hardest-hit industries, by supporting turnover and improving liquidity.     

Oil and the Stock Market: An Industry Level Analysis

I investigate the impact of daily oil price changes on the stock returns of a wide array of industries. I find that in addition to the stock returns of industries that depend heavily on oil, stock returns of some industries that use little oil also are sensitive to oil prices perhaps because their main customers are impacted by oil price changes. In addition, I present robust estimates of industries’ cost‐side and demand‐side dependence on oil. These measures can serve as reliable benchmarks when classifying industries into oil‐intensive and non–oil‐intensive groups, a distinction widely used in studies and media without any quantitative justification so far. Further, I find that the sensitivity of industries’ returns to oil price changes depends on both the cost‐side and demand‐side dependence on oil and that the relative effects of these factors vary across industries.     

Banking structure and industrial growth: Evidence from China

The debate on the puzzling relationship between financial development and economic growth in China has remained inconclusive because the effects of banking ownership structure and size structure are highly intertwined in the existing studies. This paper addresses this problem by specifying an empirical model to disentangle the two structural effects. The analysis uses a data set that includes the banking sector and 28 manufacturing industries across 30 Chinese provinces over the period 1999–2007. In order to identify the channel through which banking structure affects industrial growth, two interactive variables are constructed to capture the interaction of the prevailing banking structure with labor intensity and the share of non-state-owned enterprises in each industry, respectively. The regression results are robust and make the case for the ongoing banking reforms to reduce state ownership and promote small banking institutions.     

The Strategic Uses of Value at Risk

In contrast to alternative measures of risk, value at risk (VaR) has important virtues–intelligibility, comparability, and practicality–that make it a potentially valuable tool for strategic decision making and capital management in a wide variety of industries. However, capital-management decisions in most industries–including financial services, such as property/casualty insurance–have time horizons far longer than the one-day horizon that prevails in commercial and investment banking, where the use of VaR is now concentrated. For VaR to be usefully applied to longhorizon decisions, it must address three fundamental problems unique to that context: estimation risk, adaptive risk modification, and franchise risk. This paper describes each of these problems, shows how they can be solved, and provides examples applicable to property/casualty insurance.     

Firm Size and Growth in the United Kingdom Life Insurance Industry

This study tests whether the organic growth rates of United Kingdom (UK) life insurance firms are independent of size, as predicted by Gibrat's (1931) Law of Proportionate Effects. Using data for 1987–1996 and the three subperiods, 1987–1990, 1990–1993, and 1993–1996, we find that smaller life insurance firms tended to grow faster than larger ones in the 1987–1990 period and that larger life insurers tended to grow faster than smaller ones in the 1990–1993 and 1993–1996 periods. But over the ten‐year period, we find no significant difference between the growth rates of small and large firms, thus supporting Gibrat's Law as a long‐run tendency in the UK life insurance industry. When we examine firm‐specific determinants of asset growth, we find evidence in 1987–1996 and 1987–1990 that more diversified life insurance firms experienced higher growth rates on average than more specialized life insurers. We also find that the growth of life insurance firms was related to input costs during the 1990–1993 and 1993–1996 subperiods.     

Law and the Determinants of Property-Casualty Insurance

This article examines the importance of legal rights and enforcement in influencing property‐casualty insurance (PCI) consumption. We extend the existing literature by examining the role of legal factors in determining insurance density across countries. Also, measures of risk aversion, loss probability, and price, which overcome limitations of proxies used in the existing literature on insurance demand, are analyzed. Using a panel data set, we apply a generalized methods of moments dynamic system estimator, which relaxes the assumption of strict exogeneity of the regressors and produces unbiased and efficient estimates. The results show a strong positive relationship between the protection of property rights and insurance consumption, which is robust to various model specifications and estimation techniques. Moreover, the results show the purchase of PCI is significantly and positively related to loss probability and income, as well as providing weaker evidence of a negative relationship with price.     

A semiparametric model for the systematic factors of portfolio credit risk premia

The aim of this paper is to investigate the empirical relationship between daily fluctuations in the risk premium for holding a large diversified credit portfolio, which we approximate by a benchmark credit index, and some tradeable market factors which capture systematic risk. The analysis is based on an adaptive nonparametric modelling approach which allows for the data-driven estimation of the nonlinear dynamic relationship between portfolio credit risk premia and their hypothetical components. Our main finding is that the empirical weights of the systematic factors display sudden jumps during market crises and a less intense time-dependent behaviour during normal market conditions. In addition, we find that during market crises the directions of the empirical relationships are often inconsistent with ordinary economic intuition, as they are influenced by the specific circumstances of financial markets distress.     

Stock markets,credit markets,and technology-led growth

The high-tech sector accounts for the majority of corporate innovation in modern economies. In a sample of 38 countries, we document a strong positive relation between the initial size of the country's high-tech sector and subsequent rates of GDP and total factor productivity growth. We also find a strong positive connection between a country's equity (but not credit) market development and the size of its high-tech sector. Our main difference-in-differences estimates show that better developed stock markets support faster growth of innovative-intensive, high-tech industries. The main channels for this effect are higher rates of productivity and faster growth in the number of new high-tech firms. Credit market development fosters growth in industries that rely on external finance for physical capital accumulation but is unimportant for growth in innovation-intensive industries. These findings show that stock markets and credit markets play important but distinct roles in supporting economic growth. Stock markets are uniquely suited for financing technology-led growth, a particularly important concern for advanced economies.     

Value-added taxation and consumption

One of the main rationales for taxing consumption rather than income is that it is believed that consumption taxes discourage consumption, encourage savings, and thus generate higher economic growth. However, empirical evidence on the actual effectiveness of consumption taxes in stimulating savings is very limited. In this paper, we estimate the impact of a broad-based consumption tax, the value-added tax (VAT), on the aggregate consumption of fifteen European Union countries over the period 1961–2005. Our empirical results indicate, across a variety of estimation methods and specifications, that a one percentage point increase in the VAT rate leads to roughly a one percent reduction in the level of aggregate consumption in the short run and to a somewhat larger reduction in the long run.     

How do accounting variables explain stock price movements? Theory and evidence

This paper provides theory and evidence showing how accounting variables explain cross-sectional stock returns. Based on Zhang, G. [2000. Accounting information, capital investment decisions, and equity valuation: theory and empirical implications. Journal of Accounting Research 38, 271–295], who relates equity value to accounting measures of underlying operations, we derive returns as a function of earnings yield, equity capital investment, and changes in profitability, growth opportunities, and discount rates. Empirical results confirm the predicted roles of all identified factors. The model explains about 20% of the cross-sectional return variation, with cash-flow-related factors (as opposed to changes in discount rates) accounting for most of the explanatory power. The properties of the model are robust across various subsamples and periods.     

Does insurance activity promote economic growth? Further evidence based on bootstrap panel Granger causality test

This study applies the bootstrap panel Granger causality test to test whether insurance activity promotes economic growth, using data from 10 OECD countries over the period of 1979–2006. Empirical results indicate that one-way Granger causality running from all insurance activities to economic growth for France, Japan, Netherlands, Switzerland, and the UK, and economic growth Granger causes insurance activities in Canada (for life insurance), Italy (for total and life insurance) and the USA (for total and non-life insurance). There is a two-way Granger causality between life insurance activity and economic growth in the USA, while no causality between insurance activities and economic growth is found in Belgium (for all insurance), Canada (for total and non-life insurance), Italy (for non-life insurance) and Sweden (for life insurance). Our results also confirm the finding of Ward and Zurbruegg [Does insurance promote economic growth? Evidence from OECD economies. Journal of Risk and Insurance 67, no. 4: 489–506] showing that the insurance–growth nexus varies across countries, since their paper have previously demonstrated heterogeneity in this vein. In an analysis of a broader, though overlapping 17-country sample and taking into account banking activities, the results suggest the importance of including banking activities when investigating the insurance–growth relationship.     

Effects of Corporate Diversification: Evidence From the Property–Liability Insurance Industry

Using a sample of property–liability insurers over the period 1995–2004, we develop and test a model that explains performance as a function of line‐of‐business diversification and other correlates. Our results indicate that undiversified insurers consistently outperform diversified insurers. In terms of accounting performance, we find a diversification penalty of at least 1 percent of return on assets or 2 percent of return on equity. These findings are robust to corrections for potential endogeneity bias, alternative risk measures, alternative diversification measures, and an alternative estimation technique. Using a market‐based performance measure (Tobin's Q) we find that the market applies a significant discount to diversified insurers. The existence of a diversification penalty (and diversification discount) provides strong support for the strategic focus hypothesis. We also find that insurance groups underperform unaffiliated insurers and that stock insurers outperform mutuals.     

LIQUIDITY AND ASSET PRICING UNDER THE THREE‐MOMENT CAPM PARADIGM

We examine whether the use of the three‐moment capital asset pricing model can account for liquidity risk. We also make a comparative analysis of a four‐factor model based on Fama–French and Pástor–Stambaugh factors versus a model based solely on stock characteristics. Our findings suggest that neither of the models captures the liquidity premium nor do stock characteristics serve as proxies for liquidity. We also find that sensitivities of stock return to fluctuations in market liquidity do not subsume the effect of characteristic liquidity. Furthermore, our empirical findings are robust to differences in market microstructure or trading protocols between NYSE/AMEX and NASDAQ.     

The Theory of Optimal Stochastic Control as Applied to Insurance Underwriting Cycles

We use the theories of optimal stochastic control and engineering process control to analyze the well-known phenomenon of insurance underwriting cycles in continuous time. We show in a continuous time framework that underwriting cycles can be explained with a model where premiums are set rationally, but where there are various reporting and regulatory lags. We find that the observed cycle length depends on the length of these underlying lags. Our result can be seen as consistent with previous empirical work showing underwriting cycles varying across countries and lines of insurance. In the event that no lags exist, our result is also consistent with more recent literature suggesting that insurance cycles may not exist.     

The relative impacts of banking,infrastructure and labour on industrial growth: evidence from Indian states

This article analyses the impacts of outreach of banking services, infrastructure penetration, and labour market rigidity on the growth of manufacturing industries across 14 major states in India in the post-liberalization period (from 1991–92 to 2002–3). It documents that the outreach of the banking sector as well as infrastructure penetration has a significant positive impact on the growth of industries. Interestingly, the counteracting effect of labour market rigidity does not appear to be significant, if the effects of infrastructure and banking services are controlled for. This article also assesses the relative magnitudes of the impacts of these three institutional factors on industrial growth.     

Why Do Firms Evade Taxes? The Role of Information Sharing and Financial Sector Outreach

Tax evasion is a widespread phenomenon across the globe and even an important factor in the ongoing sovereign debt crisis. We show that firms in countries with better credit information–sharing systems and higher branch penetration evade taxes to a lesser degree. This effect is stronger for smaller firms, firms in smaller cities and towns, firms in industries relying more on external financing, and firms in industries and countries with greater growth potential. This effect is robust to instrumental variable analysis, controlling for firm fixed effects in a smaller panel data set of countries, and many other robustness tests.