Substituting one risk increase for another: A method for measuring risk aversion

This paper defines the rate of substitution of one stochastic change to a random variable for another. It then focuses on the case where one of these changes is an nth degree risk increase, and the other is an m  th degree risk increase, where n>m?1$n>m?1$. The paper shows that the rate of substitution for these two risk increases can be used to provide a broader definition and two additional characterizations of the nth degree Ross more risk averse partial order. The implications for local intensity measures of nth degree risk aversion are also examined. The analysis organizes the existing results as well as generates new ones.     

Can an Ethical Revival of Prudence Within Prudential Regulation Tackle Corporate Psychopathy?

The view that corporate psychopathy played a significant role in causing the global financial crisis, although insightful, paints a reductionist picture of what we present as the broader issue. Our broader issue is the tendency for psychopathy, narcissism and Machiavellianism to cluster psychologically and culturally as ‘dark leadership’ within global financial institutions. Strong evidence for their co-intensification across society and in corporations ought to alarm financial regulators. We argue that an ‘ethical revival’ of prudence within prudential regulation ought to be included in any package of solutions. Referencing research on moral muteness and the role of language in framing thoughts and behaviours, we recommend that regulators define prudence in an explicitly normative sense, an approach that may be further strengthened by drawing upon a widely appealing ethic of intergenerational care. An ethical revival of prudence, we argue, would allow the core problems of greed and myopia highlighted by corporate psychopathy theory to be addressed in a politically sensitive manner which recognises the pitfalls of regulating directly against corporate psychopathy. Furthermore, it would provide a viable conceptual framework to guide regulators along the treacherous path to more intrusive cultural regulation.     

An innovative approach to risk and quality assessment in the regulation of care services in Scotland

The Scottish Government’s social care regulator, the Care Commission, seeks continual improvement in the quality of social care services. Its approach has been to establish a modern risk-based regulatory regime using separate measures of risk and quality. We evaluate this twin approach, firstly, in relation to the literature on predictors of poor service quality in care delivery; and, secondly, by interviewing a sample of Care Commission inspectors. We conclude that this system has important advantages, both in terms of regulatory transparency and the need for inspectors to remain sensitive to the separateness of risk and quality issues. Future revisions of risk and quality assessment within social care services, both in Scotland and further afield, should seek to minimise misunderstanding and conflict between regulators and regulatees on closely interrelated matters of risk, quality and efficiency.     

Transaction costs in an illiquid order‐driven market

Transaction costs in many international equity markets are much larger than those in the USA. This raises questions such as what trade size these reported trading costs relate to and whether investors can reduce trading costs by timing their trades. We show, using data from the order‐driven New Zealand market, that transaction costs are frequently lower for larger trades, particularly in small stocks, and investors are able to reduce costs by timing their transactions. While investors who require immediate execution incur transaction costs that are much higher than reported average costs, patient investors can trade at much better rates.     

Retail investor information demand – speculating and investing in structured products

We study the impact of retail investor information demand on trading in bank-issued investment and leverage structured products, which are specifically designed for retail investors. Stock-specific information demand positively predicts speculative trading activity. Furthermore, we find a positive relationship between market-wide information demand and order aggressiveness and order uncertainty for speculating and investing activity. Whereas information supply is associated with speculative long positions, information demand does not induce investors to be predominantly long or short. Finally, we do not find retail investor information demand to contribute to an upward price pressure on security prices. In contrast, information supply exerts negative price pressure. Overall, retail investor trading in individual stocks is much more strongly influenced by market-wide information demand instead of firm-specific information demand. This implies a low informational efficiency of retail investor speculation and investing activity.     

Democracies cooperate more: even where it threatens to bite?

Estimating two-step selection models, we find that more democratic governments are more likely to conclude preferential trade agreements (PTAs) and to agree to stricter investment provisions related to pre-establishment national treatment and investor–state dispute settlement in PTAs. This is surprising when considering the potentially high costs of litigation.     

EZB-Schuldverschreibungen — neue Verwendung für ein altes Instrument?

Wirtschaftsdienst - Als Reaktion auf die Corona-Krise haben die Notenbanken des Eurosystems ihre Anleihekäufe im Rahmen des APP-Programms weiter aufgestockt und um das PEPP-Programm erweitert....     

Land‐use change trajectories up to 2050: insights from a global agro‐economic model comparison

Changes in agricultural land use have important implications for environmental services. Previous studies of agricultural land‐use futures have been published indicating large uncertainty due to different model assumptions and methodologies. In this article we present a first comprehensive comparison of global agro‐economic models that have harmonized drivers of population, GDP, and biophysical yields. The comparison allows us to ask two research questions: (1) How much cropland will be used under different socioeconomic and climate change scenarios? (2) How can differences in model results be explained? The comparison includes four partial and six general equilibrium models that differ in how they model land supply and amount of potentially available land. We analyze results of two different socioeconomic scenarios and three climate scenarios (one with constant climate). Most models (7 out of 10) project an increase of cropland of 10–25% by 2050 compared to 2005 (under constant climate), but one model projects a decrease. Pasture land expands in some models, which increase the treat on natural vegetation further. Across all models most of the cropland expansion takes place in South America and sub‐Saharan Africa. In general, the strongest differences in model results are related to differences in the costs of land expansion, the endogenous productivity responses, and the assumptions about potential cropland.     

Impacts of increased bioenergy demand on global food markets: an AgMIP economic model intercomparison

Integrated Assessment studies have shown that meeting ambitious greenhouse gas mitigation targets will require substantial amounts of bioenergy as part of the future energy mix. In the course of the Agricultural Model Intercomparison and Improvement Project (AgMIP), five global agro‐economic models were used to analyze a future scenario with global demand for ligno‐cellulosic bioenergy rising to about 100 ExaJoule in 2050. From this exercise a tentative conclusion can be drawn that ambitious climate change mitigation need not drive up global food prices much, if the extra land required for bioenergy production is accessible or if the feedstock, for example, from forests, does not directly compete for agricultural land. Agricultural price effects across models by the year 2050 from high bioenergy demand in an ambitious mitigation scenario appear to be much smaller (+5% average across models) than from direct climate impacts on crop yields in a high‐emission scenario (+25% average across models). However, potential future scarcities of water and nutrients, policy‐induced restrictions on agricultural land expansion, as well as potential welfare losses have not been specifically looked at in this exercise.