Mandatory disclosure,greenhouse gas emissions and the cost of equity capital: UK evidence of a U-shaped relationship

This paper examines the effects of disclosing greenhouse gas (GHG) information mandatorily on the cost of equity capital (COC) using a longitudinal unbalanced panel database of the United Kingdom's FTSE 350 firms for the period 2011–2016. We use a nonlinear panel quantile regression (PQR) model to examine the relationship between GHG disclosure (GHGD) and COC in the United Kingdom. This technique was supplemented by conducting a two-step generalised method of moment (GMM) estimation to address any concerns related to the potential existence of endogeneity problems. Our findings suggest that high-level GHGD appeared to be negatively associated with COC up to a certain level, which is known as the turning point; then, any increase in GHGD is likely to increase the COC. This means that the nonlinear association between GHGD and COC is evidenced in our study and takes a U shape. Likewise, our findings are associative of a moderating effect of the 2013 carbon disclosure regulation (CDR) on the GHGD–COC nexus. We argue that mandatory GHGD and GHG risk are linked so that those companies that are associated with higher GHG risk have a tendency to be better disclosers. Consequently, we urge regulators to design GHGD regulations in a way that mirrors corporate environmental risk and leads to a lower COC in order to align the interests of corporations with those of the society at large.     

Market impact: a systematic study of the high frequency options market

This paper deals with a fundamental subject that has seldom been addressed in recent years, that of market impact in the options market. Our analysis is based on a proprietary database of metaorders—large orders that are split into smaller pieces before being sent to the market—on one of the main Asian markets. In line with our previous work on the equity market [Said, E., Bel Hadj Ayed, A., Husson, A. and Abergel, F., Market impact: A systematic study of limit orders. Mark. Microstruct. Liq., 2018, 3(3&4), 1850008.], we propose an algorithmic approach to identify metaorders, based on some implied volatility parameters, the at the money forward volatility and at the money forward skew. In both cases, we obtain results similar to the now well-understood equity market: Square-Root Law, Fair Pricing Condition and Market Impact Dynamics.     

Free Entry under Uncertainty

When focusing on firm’s risk-aversion in industry equilibrium, the number of firms may be either larger or smaller when comparing market equilibrium with and without price uncertainty. In this paper, we introduce risk-averse firms under cost uncertainty in a model of spatial differentiation and show that the impact of uncertainty will increase the number of firms in an industry. With increased uncertainty, the risk premium of the marginal buyer increases by more than the risk premium of the average buyer, so that the price increases by more than the risk premium. When turning to the free entry game, we find that the market generates too many firms.     

Economies of scale and scope in French banking and savings institutions

In this study, we analyze the costs incurred by French commercial banks and savings institutions. One of the main distinctions between these two types of financial entities concerns management costs, which are higher for commercial bank demand deposits than for the savings institutions' tax-free livret A passbook accounts. Taking this differential into consideration by constructing separate models based on different principles, we find that the average overall and operating costs of the savings institutions are half those of commercial banks. As regards operating costs, small savings institutions enjoy a significant cost advantage over small commercial banks, but this cost advantage is smaller when one compares the performance of large savings institutions to the large banks. The results of our econometric estimates suggest a possible explanation, as we find increasing returns to scale for the banks and diminishing returns for the savings institutions. The value of the returns-to-scope parameter at the mean point appears to indicate a complementarity between certain pairs of outputs. Therefore, ouptut diversification appears to have a positive impact on cost levels for both savings institutions and commercial banks; while institution size, measured by the total assets, has a different impact in these two industries.     

The survivorship bias, share price effect, and small firm effect in Canadian markets

After controlling for survivorship bias, we examine the relation between average returns, firm size, and price levels for Canadian stocks during the 1975-1994 period. Our findings indicate that there is a significant inverse share price level effect in Canadian markets. When we compare the results of the overall sample with the groups of surviving firms and delisted stocks, the latter group shows strong performance for large-size, high-priced stocks. Evidence that supports an independent size effect is less clear for Canadian stocks. A small size effect exists only among the higher share price denominations, which suggests a confounded size-price effect. Although the delisted group returns are statistically different from those of the survivor and the overall groups, which implies some evidence of survivorship bias, the difference between the survivor group and the overall group is weak at best.     

Value-at-Risk under Measurement Error

We propose a method for estimating Value-at-Risk that corrects for the effect of measurement errors in stock prices. We show that the presence of measurement errors might pose serious problems for estimating risk measures. In particular, when stock prices are contaminated, existing estimators of Value-at-Risk are inconsistent and might lead to an underestimation of risk, which can result in extreme leverage ratios within the held portfolios. Using a Fourier transform and a deconvolution kernel estimator of the probability distribution function of actual latent prices, we derive a robust estimator of Value-at-Risk in the presence of measurement errors. Monte Carlo simulations and real data analysis illustrate satisfactory performance of the proposed method.     

Consideration of technological and environmental heterogeneity in cost efficiency analysis

In order to evaluate and compare the efficiency levels across banking industries, we adopt the meta-frontier model that can assess the technological difference among countries. Given the importance of country specific conditions, we include in our analysis the different specificities of each country to incorporate the technological as the environmental differences in the evaluation of banking efficiencies. Using data on the banking industries of several countries in the MENA region, over the period 1991–2011, the results of the efficiency scores corrected by the technological and environmental gap led us to conclude that Egyptian banks are the most efficient in terms of cost compared with banks in other countries. Egyptian banks enjoy a very favourable banking technology. Our results support the hypothesis that traditional techniques of efficiency analysis based on the efficiency scores of a specific and pooled frontier tend to mystify efficiency levels and may incorrectly identify efficient banks. This paper contributes to the efficiency literature by incorporating technological and environmental heterogeneities in the evaluation of efficiency. This helps to characterize the production process of a bank and provides common standards by which the efficiencies of banks in different countries can be compared in a meaningful way with each other.     

Migration and employment interactions in a crisis context

This article analyses how a crisis impacts labour markets in origin countries through migration channels. For this purpose, we develop a novel dynamic general equilibrium model with a focus on the interlinkages between migration, the labour market and education. The main innovation of the paper is the retrospective modelling in general equilibrium of the impact of an economic crisis to isolate the impact of migration on local unemployment. The impact of the crisis on education decision is captured through endogenous returns to education. The simultaneity of the crisis in Tunisia and its partners worsened the labour market situation mainly through the increase in labour supply. The main result of this study is that migration is indeed one of the main determinants of the unemployment increase and that remittances have a higher impact than the variation of emigration flows. The low skilled bear the highest costs in terms of unemployment and wage decline.