Environmental–Economic Accounting: Progress and Digression in the SEEA Revisions

The 1992 Earth Summit and its message of sustainable development drove the launching of a System for integrated Environmental and Economic Accounting, the SEEA. Since then, sustainable development and the SEEA have given way to green growth and green economy indicators in the latest 2012 Summit. A lengthy revision process has now produced a curtailed “SEEA central framework.” The new framework focuses on expenditures for environmental protection and resource management, and stocks and flows of “economic” resources; both are covered by the conventional national accounts. Environmental degradation, notably from pollution, is left to “experimental” ecosystem accounts. Further revision of the SEEA should reverse this retrenchment from integrative environmental–economic accounting. A comprehensive satellite system, rather than a limited statistical standard, might put the SEEA back on the policy agenda.     

The transmission of partner mental health to individual life satisfaction: Estimates from a longitudinal household survey

This paper investigates the relationship between partner's mental health and individual life satisfaction, using panel data and calculating the monetary valuation of mental illness. Accounting for measurement error and endogeneity of income, partners' mental health has a significant association with individual well-being. The additional income needed to compensate someone living with a partner with a mental condition is substantial (ranges between USD 33,000 and USD 50,000). Further, individuals do not show adaptation to partners' mental illness. The results have implications for policy-makers wishing to value the effects of policies that aim to impact on mental health and levels of well-being.     

Does Accrual Management Impair the Performance of Earnings‐Based Valuation Models?

This study examines how accrual manipulations affect firm valuation in the years surrounding the passage of the Sarbanes‐Oxley Act (SOX). We compare the absolute percentage pricing errors of RIM and DCF valuation models for a group of US firms suspected to have engaged in accrual manipulations to avoid a small loss or a small earnings decline vs. ‘Normal’ firms matched on industry, year and size. We find that RIM can better estimate intrinsic value than DCF for the matched Normal firms in the pre‐SOX period, but not so for accrual manipulators, and that SOX mitigates the harmful effect of accrual manipulations, completely eliminating the difference in RIM's accuracy advantage over DCF between Normal firms and accrual manipulators. As a further analysis, we redefine Suspect firms as real‐activity manipulators and find a significant across‐group difference in accuracy wedge in both sample periods, implying that SOX has prompted firms to favor real‐activity manipulations over accrual manipulations.     

Consumers’ Willingness to Pay for Sustainable Seafood Made in Europe

Sustainability of increasing relevance also for seafood markets. The aim of this contribution is to analyze consumer preferences and their willingness to pay (WTP) for different sustainability claims, and to identify consumer segments according to their WTP. The contingent valuation method was applied to elicit consumers’ WTP in eight European countries. The WTP varies between seven and almost 20%, depending on attribute and country. Three consumer groups become apparent: the largest group without any additional WTP, a smaller group with a moderate additional WTP of plus 17%, and a very small group with an additional WTP of more than 40%. Clear differences between countries are obvious regarding preferences for different sustainability attributes, particularly in the segment with the highest WTP. A fraction of the consumers is willing to pay significantly higher prices for sustainably produced fish from Europe: given that trustful standards are applied and well communicated.     

Forest governance and economic values of forest ecosystem services in Vietnam

Forest ecosystems deliver valuable services to humanity. However, many forests are being degraded and their services have been undervalued. The main problem lies in the inadequate institutional arrangements for forest governance. This paper aims to assess the effects of alternative forest governance arrangements on the provision and economic values of forest ecosystem services (FES) in Vietnam. The study presents a framework for mapping land use and land cover (LULC) change stemming from actual and hypothetical changes in forest governance regimes, quantifies the resulting changes in the provision of FES, and estimates the associated economic values. In the context of the study site in the North Western uplands of Vietnam, we test three alternative forest governance scenarios: business as usual, with a dominant government role; a community-based governance regime; and a private, individual-based forestry governance regime. Scenarios are based quite closely on the way these regimes are (or might be expected to be) implemented in Vietnam. For each forest governance scenario, we map LULC changes based on land suitability analysis and transition likelihood for the period 2010 − 2020. The resulting maps are used as inputs into the InVEST (Integrated Valuation of Environmental Services and Tradeoffs) model, which is used to estimate the quantity of three specific FES: carbon storage/sequestration, sediment yield, and water yield. We apply economic valuation methods to value these services: the social cost of carbon is used to estimate the economic values of carbon storage/sequestration; the cost of removing sediment deposited in reservoirs is applied for valuing the reduction of sediment yield, and the residual value of water supply for hydropower generation is used for valuing water yield. The results show that forest governance regimes have a significant effect not only on forest LULC, but also on the quantity and values of FES derived from forests. The FES are differentially affected by alternative forest governance regimes: some FES increase in quantity and value under some governance regimes and decrease under others. Of the three forest governance regimes examined, there is no one regime that will always be ‘better’ than the others in terms of provisioning all considered FES. For the specific context of Vietnam, we find that the private forest governance scenario is inferior to the community-based governance scenario, as an alternative to the current state-based governance. Because our results pertain to the scenarios as constructed, rather than generally to broad categories of governance regimes, there remains the possibility that regimes can be constructed that outperform all of those examined here.     

Valuing Initial Public Offerings Using Article 11 Pro Forma Financial Information in the Prospectus*

We investigate whether Article 11 pro forma financial information assists investors in valuing IPOs. While the SEC expects it to be helpful in assisting investment decisions, Article 11 pro forma financial information is based on registrants' understanding and assumptions, and registrants can exercise their own judgment when preparing pro forma financial statements. It is therefore an empirical question whether the information contained in pro forma financial statements is useful to investors. We examine the association between pro forma adjustments of earnings and book value of equity and the IPO offer value and find asymmetric results. While positive pro forma adjustments of earnings and book value of equity are positively associated with the IPO offer value, negative pro forma adjustments of earnings and book value of equity are negatively associated with the IPO offer value, suggesting that negative pro forma adjustments are priced as growth opportunities. Additional analyses reveal that the association between pro forma adjustments of book value of equity and the IPO offer value varies across different time periods and industries and that pro forma adjustments of book value of equity are initially mispriced by investors. In contrast, we do not find similar results for pro forma adjustments of earnings. Further empirical tests show that the asymmetric results of mispricing of pro forma adjustments of earnings and book value of equity may be explained by the requirements of Article 11 of Regulation S‐X for pro forma adjustments dictating that adjustments to earnings reflect only recurring items while adjustments to book value reflect both recurring and nonrecurring items.     

“侧袋存放”机制在基金估值中的应用研究

对因突发事件临时停牌的股票和长期停牌的股票进行估值，可以借鉴国外对冲基金经常采用的“侧袋存放”机制。在公募基金行业中采取按允许赎回不允许申购、同时允许申购和赎回两种模式，具体实施机制各不相同。实施“侧袋存放”机制在基金持有人利益、IT系统支持、信息披露、费用计提等方面存在的一些难点。     

Decision-making in incomplete markets with ambiguity—a case study of a gas field acquisition

We apply utility indifference pricing to solve a contingent claim problem, valuing a connected pair of gas fields where the underlying process is not standard Geometric Brownian Motion and the assumption of complete markets is not fulfilled. First, empirical data are often characterized by time-varying volatility and fat tails; therefore, we use Gaussian generalized autoregressive score (GAS) and GARCH models, extending them to Student’s t-GARCH and t-GAS. Second, an important risk (reservoir size) is not hedgeable. As a result, markets are incomplete which makes preference free pricing impossible and thus standard option pricing methodology inapplicable. Therefore, we parametrize the investor’s risk preference and use utility indifference pricing techniques. We use Least Squares Monte Carlo simulations as a dimension reduction technique in solving the resulting stochastic dynamic programming problems. Moreover, an investor often only has an approximate idea of the true probabilistic model underlying variables, making model ambiguity a relevant problem. We show empirically how model ambiguity affects project values, and importantly, how option values change as model ambiguity gets resolved in later phases of the projects. We show that traditional valuation approaches will consistently underestimate the value of project flexibility and in general lead to overly conservative investment decisions in the presence of time-dependent stochastic structures.     

ARBITRAGE‐FREE BILATERAL COUNTERPARTY RISK VALUATION UNDER COLLATERALIZATION AND APPLICATION TO CREDIT DEFAULT SWAPS

We develop an arbitrage‐free valuation framework for bilateral counterparty risk, where collateral is included with possible rehypothecation. We show that the adjustment is given by the sum of two option payoff terms, where each term depends on the netted exposure, i.e., the difference between the on‐default exposure and the predefault collateral account. We then specialize our analysis to credit default swaps (CDS) as underlying portfolios, and construct a numerical scheme to evaluate the adjustment under a doubly stochastic default framework. In particular, we show that for CDS contracts a perfect collateralization cannot be achieved, even under continuous collateralization, if the reference entity’s and counterparty’s default times are dependent. The impact of rehypothecation, collateral margining frequency, and default correlation‐induced contagion is illustrated with numerical examples.     

Modelling property values in Nigeria using artificial neural network

Unreliable and inaccurate property valuation has been associated with techniques currently used in property valuation. A possible explanation for these findings may be due to the utilisation of traditional valuation methods. In the current study, an artificial neural network (ANN) is applied in property valuation using the Lagos metropolis property market as a representative case. Property sales transactions data (11 property attributes and property value) were collected from registered real estate firms operating in Lagos, Nigeria. The result shows that the ANN model possesses a good predictive ability, implying that it is suitable and reliable for property valuation. The relative importance analysis conducted on the property attributes revealed that the number of servants’ quarters is the most important attribute affecting property values. The findings suggest that the ANN model could be used as a tool by real estate stakeholders, especially valuers and researchers for property valuation.