Detecting and modelling the jump risk of CO2 emission allowances and their impact on the valuation of option on futures contracts

Modelling CO₂ emission allowance prices is important for pricing CO₂ emission allowance linked assets in the emissions trading scheme (ETS). Some statistical properties of CO₂ emission allowance prices have been discovered in the literature ignoring price jumps. By employing real data from the ETS, this research first detects the jump risk using a jump test and then verifies jump effects in modelling CO₂ emission allowance prices by comparing the in-sample and out-of-sample model performance. We suggest a model which can capture the statistical properties of autocorrelation, volatility clustering and jump effects is more appropriate for modelling CO₂ emission allowance prices. We establish a general framework for pricing CO₂ emission allowance options on futures contracts with these properties and find that the jump risk significantly affects the value of the CO₂ emission allowance option on futures contracts. More importantly, we demonstrate that the dynamic jump ARMA–GARCH model can provide more accurate valuations of the CO₂ emission allowance options on futures than other models in terms of pricing error.     

Simulación de la tasa de reciclaje de productos electrónicos Un modelo de dinámica de sistemas para la red de logística inversa

Current trends in the development and innovation of information technologies and shorter life cycles of electronic products have resulted in the generation of large amounts of waste (e-waste) which can potentially cause environmental problems due to the toxicity of some of their components. The e-waste problematic has attracted the attention of governments, companies and consumers that look to identify strategies for the management and proper disposal of e-waste with the goal to protect the environment. This work uses the methodology of system dynamics to simulate how the rate of products returned by individuals and the amount of computers recovered in an open-loop reverse supply chain, varies under different scenarios. The simulated scenarios correspond to the possible combinations of five macro factors: rate of innovation and product life cycle, information available to consumers about e-waste recycling, legislation, e-waste programs structure along with diffusion and publicity efforts. The results of the simulation are relevant to identify over which factors it is convenient to intervene to increase the amount of recycled computers because this amount represents a reduction in the volume of e-waste and an enterprise opportunity to generate earnings from recycling computers.     

Carbon Price in China: A CO2 Abatement Cost of Wind Power Perspective

As a result of rapid development of industrialization and urbanization, energy (especially fossil fuels) demand growth is increasing. Hence, China is facing the huge pressure of environmental protection and CO₂ emission reduction. The feed-in tariff (FIT) policy that promotes more wind power to substitute for thermal power and a well-functioning carbon price mechanism can significantly affect CO₂ abatement, and both can work in coordination to achieve emission reduction. Using panel model, we prove that FIT policy is more effective than other policies in promoting more wind power. Also the slowdown of economic growth, energy substitution, technological progress, and CO₂ mitigation requirement can stimulate the expansion of wind power. Additionally, based on the calculation of real abatement cost of wind power, we obtain the provincial and national average of carbon prices (239 CNY/ton and 242 CNY/ton). Specifically, 233-251 CNY/ton will be the range for reasonable carbon price in the future. We find that the carbon prices in this article are higher than those of the emissions trading scheme pilots in 2014 and 2015, due to the relatively high proportion of free allowance. Based on the above conclusions, we proposed some policy suggestions.     

Food scenarios 2025: Drivers of change between global and regional

This article presents the results of a future study of the food sector. Two scenarios have been developed using a combination of: 1) a summary of the relevant scientific knowledge, 2) systematic scenario writing, 3) an expert-based Delphi technique, and 4) an expert seminar assessment. The two scenarios present possible futures at global, national (Denmark) and regional (Zealand, Denmark) levels. The main scenario is called ‘Food for ordinary days and celebrations’ (a combination of ‘High-technological food production − The functional society’ and ‘High-gastronomic food − The experience society’). A less likely scenario is called ‘The reappearence of the sea − The aquarial society’. The purpose of the scenario writing has been to provide strategic tools for societal actors who to create economic growth and jobs, particularly regional governments and firms. Suggestions concerning regional industrial policy and firm actions are included in the article.     

Corporate social responsibility reports: topic analysis and big data approach

ABSTRACT

This paper performs topic modeling using all publicly available CSR (Corporate Social Responsibility) reports for all constituent firms of the major stock market indices of 15 industrialized countries included in MSCI Europe for the sample period from 1999 to 2016. Our text mining results and LDA analyses indicate that ‘employees safety’, ‘employees training support’, ‘carbon emission’, ‘human right’, ‘efficient power’, and ‘healthcare medicines’ are the common topics reported by publicly listed companies in Europe and the UK. There is a clear sector bias with industrial firms emphasizing ‘employee safety’, Utilities concentrating on ‘efficient power’ while consumer discretionary and consumer staples highlighting ‘food waste’ and ‘food packaging.’ To produce these results, we used a battery of python code to organize the hundreds of reports downloaded from Bloomberg and the internet, the latest R-algorithm to estimate LDA (Latent Dirichlet Allocation) model and the LDAvis interactive tool to visualize and refine the LDA model.     

How financial information disclosure affects risk perception. Evidence from Italian investors’ behaviour

This paper investigates how different representations of financial information may be appraised in terms of complexity and usefulness, and how financial disclosure influences individuals’ risk perception. By using a consumer testing analytical approach, we run a survey on a sample of Italian investors: 254 bank customers were submitted 4 different templates, each combining a different typology of data (historical and prospective) and framing (words, numbers and charts) to indicate the same level of risk and return of four real-life financial instruments. Representation formats partially overlap with those mandated by regulators and used within the financial industry. Results show that the perceived riskiness of financial products is affected by the way information is disclosed. Perceived complexity of the financial information disclosure intensifies perception of riskiness of the product solicited. Gender, age, personal traits, behavioural biases and financial knowledge, do also play a role. Overall, given investors’ heterogeneity and behavioural biases, neither simplifying disclosure nor a ‘one-size-fits-all’ approach may be sufficient to ensure correct risk perception and to prevent unbiased investment choices.     

Developing communications about CCS: three lessons learned

To curb the risks of climate change, the Intergovernmental Panel on Climate Change posits that global CO₂ emissions from the energy supply sector must be reduced to 90% below 2010 levels between 2040 and 2070. Electricity generation is the largest contributor to emissions from the energy supply sector. Carbon capture and storage (CCS) holds the promise of helping to reduce CO₂ emissions from coal-fired power plants, as part of a low-carbon portfolio that could also include energy efficiency, natural gas, renewables and nuclear power. To inform people’s decisions about whether or not to support the implementation of CCS, our team created brochures about 10 low-carbon technologies as well as a computer tool that helped users to develop technically realistic low-carbon portfolios. Here, we highlight three main lessons we learned in developing these communications about CCS: (1) when learning about CCS people also want to know about other alternatives; (2) using simple wording improves understanding, even about complex technologies; and (3) the time to communicate about CCS is now.     

Unmasking scenario planning: The colonization of the future in the ‘Local Governments of the Future’ program

In the Netherlands, the ‘Local Governments of the Future’ program has been introduced by the Ministry of the Interior and Kingdom Relations in 2014, in the context of the ongoing transformation of the Dutch welfare state; more specifically, the transformation of the social care sector. Scenario planning is a major preoccupation in this program and two major reports have been published in this connection. In this article, the authenticity of the scenario planning of the ‘Local Governments of the Future’ program is questioned. It is found that the ‘Local Governments of the Future’ program’s scenario planning is not a real scenario planning but, instead, a continuation of the neoliberal discourse by hegemonic stakeholders that seek to ‘close’ the future. It is concluded in this article that in the ‘Local Governments of the Future’ program the future is colonized and presented as an impersonal trend in which governmental agency for creatively negating and transcending the neoliberal discourse is irrelevant.     

The critical role of history in scenario thinking: Augmenting causal analysis within the intuitive logics scenario development methodology

The historian Eric Hobsbawm stated that ‘The safest empirical generalization about history is still that nobody heeds its obvious lessons much’. Whether at a macroeconomic level or within individual organisations there are numerous examples of this, such as the economic crash of 2008, the causes of which had many parallels with those that caused the great depression 80 years previously. On the other hand however, overly-relying on the past as a guide to the future has its own obvious dangers—not least that important future events may have no past precedent. As such, the present paper firstly provides a discussion of the advantages and disadvantages of using the past as a guide to the future. It then examines the role of history in scenario work, arguing that history should receive greater emphasis as part of the scenario planning process. We suggest changes to the standard Intuitive Logics (IL) approach to scenario planning which would render learning from history a more central component of the scenario process, in contrast to its current peripheral role. Rather than diminishing scenario planning’s ability to facilitate a consideration of how the future may differ from the past, we show how a greater emphasis on history can enhance consideration of the causality of future change. An adapted IL that has more emphasis on historical analysis can augment scenario planning’s effectiveness as a tool for consideration of the future.     

Taming animal spirits: risk management with behavioural factors

In several countries a major factor contributing to the current economic crisis was massive borrowing to fund investment projects on the basis of, in retrospect, grossly optimistic valuations. The purpose of this paper is to initiate an approach to project valuation and risk management in which ‘behavioural’ factors—Keynes’ ‘animal spirits’ or Greenspan’s ‘irrational exuberance’—can be explicitly included. An appropriate framework is risk-neutral valuation based on the use of the numéraire portfolio—the ‘benchmark’ approach advocated by Platen and Heath (A benchmark approach to quantitative finance. Springer, Berlin, 2006). In the paper, we start by discussing the ingredients of the problem: ‘animal spirits’, financial instability, market-consistent valuation, the numéraire portfolio and structural models of credit risk. We then study a project finance problem in which a bank lends money to an entrepreneur, collateralized by the value of the latter’s investment project. This contains all the components of our approach in a simple setting and illustrates what steps are required. In a final section, we briefly discuss the econometric problems that need to be solved next.     

Taxpayers' Behavioural Responses and Measures of Tax Compliance ‘Gaps’: A Critique and a New Measure

The work of Feldstein (1995 and 1999) has stimulated substantial conceptual and empirical advances in economists' approaches to analysing taxpayers' behavioural responses to changes in tax rates. Meanwhile, a largely independent literature proposing and applying alternative measures of tax compliance has also developed in recent years, which has sought to provide tax agencies with tools to identify the extent of tax non‐compliance as a first step to designing policies to improve compliance. In this context, measures of ‘tax gaps’ – the difference between actual tax collected and the potential tax collection under full compliance with the tax code – have become the primary measures of tax non‐compliance via (legal) avoidance and/or (illegal) evasion. In this paper, we argue that the tax gap as conventionally defined is conceptually flawed because it fails to incorporate behavioural responses by taxpayers. We show that conventional tax gap measures, which ignore the presence of behavioural responses, exaggerate the degree of non‐compliance. This potentially applies both to indirect taxes (such as the ‘VAT gap’) and direct (income) taxes. Further, where these conventional tax gap measures motivate reforms designed to increase the tax compliance rate, they will likely have a tax‐base‐reducing effect and hence generate a smaller increase in realised tax revenues than would be anticipated from the tax gap estimate.     

Goal-based socio-technical scenarios: Greening the mobility practices in the Stockholm City District of Bromma,Sweden

This paper presents a new five-part method for developing goal-based socio-technical scenarios. In the first part, Scenario ‘Seeds’ are identified or created. The Scenario Content part focuses on the question of what could be changed and by whom, a fundamental element being iterative identification of objects and actors of change. Scenario Outcome focuses on the question of how to assess the potential contribution of these changes, estimated through modelling the scenario in terms of energy usage systems. Scenario Process explores the question of how to develop and represent a scenario in terms of a process of governance. Scenario Content, Outcome and Process are then combined into a Final Scenario which is further assessed and evaluated using qualitative methods. The development of Scenario Content is tested and exemplified in this paper through a scenario study of green mobility in the district of Bromma in Stockholm, Sweden. Preliminary findings indicate that by supporting explicit inclusion of actors and ‘the social’ aspect, the what-who iteration in Scenario Content also helps identify opportunities and obstacles of a social character, thus contributing to creation of socio-technically more consistent and comprehensive scenarios.     

A Panel Data Analysis of the Relationship Between Air Pollutant Emissions,Economics, and Industrial Structure of China

The purpose of this article is to investigate the relationship between China’s industrial structure, economic position, and air quality. The PM2.5 emission is used as the air pollution indicator, the gross regional product (GRP) and the proportion of secondary industry as the local economic indicators, and the power generation and the freight volume as the developmental indicators of important industries. Using the panel data model, this article provided evidence that the GRP has positive effect on the PM2.5 emission and the power generation has a significant impact as well in several cities. But freight volume could not increase the PM2.5 emission significantly in most regions of China.     

An evaluation of alternative approaches to the application of cash reserve requirements in Nigeria

This article evaluated ‘o-size-fits-all’ approach to cash reserve requirement implementation in Nigeria using the Vector Autoregressive methodology and scenario analysis. The central thrust was to ascertain if a one-size-fits-all approach would produce a better outcome or perhaps utilizing a differentiated approach would provide a better outcome. To that effect, our results eloquently provides various scenarios for consideration.     

Scenarios and the art of worldmaking

In this exploratory paper we propose ‘worldmaking’ as a framework for pluralistic, imaginative scenario development. Our points of departure are the need in scenario practice to embrace uncertainty, discomfort and knowledge gaps, and the connected need to capture and make productive fundamental plurality among understandings of the future. To help respond to these needs, we introduce what Nelson Goodman calls worldmaking. It holds that there is no singular, objective world (or “real reality”), and instead that worlds are multiple, constructed through creative processes instead of given, and always in the process of becoming. We then explore how worldmaking can operationalise discordant pluralism in scenario practice by allowing participants to approach not only the future but also the present in a constructivist and pluralistic fashion; and by extending pluralism to ontological domains. Building on this, we investigate how scenario worldmaking could lead to more imaginative scenarios: worldmaking is framed as a fully creative process which gives participants ontological agency, and it helps make contrasts, tensions and complementarities between worlds productive. We go on to propose questions that can be used to operationalize scenario worldmaking, and conclude with the expected potential and limitations the approach, as well as suggestions for practical experimentation.     

The effect of prior outcomes on gender risk-taking differences

This study proposed that men are more likely to take greater risk after a win (‘house money’ effect), while women are more likely to take greater risk after a loss (‘escalation of commitment’ effect). These effects are, however, moderated by prior experiences in risk-taking and role characteristics. Three distinct groups of 30 subjects (total?=?90) each were solicited to play an experimental betting game. The subjects were categorized into risk providers (RP), risk customers (RC), and non-risk customers (NRC). RP are represented by casino executives, RC by leisure life-time casino gamblers, and NRC by non-casino gamblers. On average, RC group was found to take most betting risk. Male RCs were more likely to bet more after a win, while female RCs were more likely to bet more after a loss. NRCs, irrespective of gender, were more likely to bet more after a loss. There were no gender risk-taking differences in prior outcomes in the RP group.     

Auditor–client management relationships and roles in negotiating financial reporting

We carry out an interview based field study of chief financial officer (CFO)–audit partner dyads to examine the assumption that the roles played by each side and the nature of the relationships are similar across negotiations. These dyads freely discussed with us their relationship, a specific issue negotiated and it’s resolution process. Employing the lens of social positioning negotiation research, we find these negotiations are ‘fluid’, with continual redefinition not only of the substantive issues under negotiation, but also of the negotiation roles and relationships (i.e. ‘shadow’ negotiations). The CFO’s actions and expectations in these ‘shadow’ negotiations appear to define the auditor’s role and the relationship’s parameters, but both can evolve over time. The audit partners express a desire to be in the “ideal” relationship where they assume the role of the ‘expert advisor’ (as opposed to a ‘police officer’) but they seemingly have no explicit strategy to move the relationship toward a ‘proactive’ (rather than ‘reactive’) state. Furthermore, the audit partner is always the ‘relationship manager’ whose job it is to see that client management remains “happy”. These roles and relationships negotiated in the ‘shadows’ also affect how the negotiation process unfolds, including the set of alternative accounting treatments considered during negotiations. Finally, audit firms appear to manage the assignment of partners to engagements based on CFO preferences and remove those partners who are in “poor” relationships, irrespective of why the relationship is considered by the CFO to be “poor”. Implications for the broader research program on auditor–client management negotiations are discussed.     

Bivariate normal mixture spread option valuation

We discuss the pricing and hedging of European spread options on correlated assets when the marginal distribution of each asset return is assumed to be a mixture of normal distributions. Being a straightforward two-dimensional generalization of a normal mixture diffusion model, the prices and hedge ratios have a firm behavioural and theoretical foundation. In this ‘bivariate normal mixture’ (BNM) model no-arbitrage option values are just weighted sums of different ‘2GBM’ option values that are based on the assumption of two correlated lognormal diffusions, and likewise for their sensitivities. The main advantage of this approach is that BNM option values are consistent with both volatility smiles and with the implied correlation ‘frown’. No other ‘frown consistent’ spread option valuation model has such straightforward implementation. We apply analytic approximations to compare BNM valuations of European spread options with those based on the 2GBM assumption and explain the differences between the two as a weighted sum of six second-order 2GBM sensitivities. We also examine BNM option sensitivities, finding that these, like the option values, can sometimes differ substantially from those obtained under the 2GBM model. Finally, we show how the correlation frown that is implied by the BNM model is affected as we change (a) the correlation structure and (b) the tail probabilities in the joint density of the asset returns.     

The implications of fossil fuel supply constraints on climate change projections: A supply-side analysis

Climate projections are based on emission scenarios. The emission scenarios used by the IPCC and by mainstream climate scientists are largely derived from the predicted demand for fossil fuels, and in our view take insufficient consideration of the constrained emissions that are likely due to the depletion of these fuels. This paper, by contrast, takes a supply-side view of CO₂ emission, and generates two supply-driven emission scenarios based on a comprehensive investigation of likely long-term pathways of fossil fuel production drawn from peer-reviewed literature published since 2000. The potential rapid increases in the supply of the non-conventional fossil fuels are also investigated. Climate projections calculated in this paper indicate that the future atmospheric CO₂ concentration will not exceed 610 ppm in this century; and that the increase in global surface temperature will be lower than 2.6 °C compared to pre-industrial level even if there is a significant increase in the production of non-conventional fossil fuels. Our results indicate therefore that the IPCC’s climate projections overestimate the upper-bound of climate change. Furthermore, this paper shows that different production pathways of fossil fuels use, and different climate models, are the two main reasons for the significant differences in current literature on the topic.     

The Perceived Importance of an Ethical Issue as a Determinant of Ethical Decision-making for Accounting Students in an Academic Setting

In this study, we investigate the impact of an ethical decision-making construct, the ‘perceived importance of an ethical issue’ (PIE) for accounting students in an academic setting. One objective was to test the measure of this construct for generalizability in gauging ethical decision- making. The other objective was to draw inferences on the PIE construct for pedagogical purposes. Using tests of validity, the measure reasonably captured the ‘perceived importance of an ethical issue’ construct. In addition, the PIE construct was significantly related to both ethical judgment and behavioural intention. Implications for accounting educators and ethics training in business are discussed.