The cross section of options holds great promise for identifying return distributions and risk premia, but estimating dynamic option valuation models with latent state variables is challenging when using large option panels. We propose a particle Markov Chain Monte Carlo framework with a novel filtering approach and illustrate our method by estimating index option pricing models. Estimates of variance risk premiums, variance mean reversion, and higher moments differ from the literature. We show that these differences are due to the composition of the option sample. Restricting the option sample’s maturity dimension has the strongest impact on parameter inference and option fit in these models.

Governments sometimes adopt policies that are not aligned with their preferences or have not come onto their agendas when doing so is linked to a reward. International organizations can therefore set conditions for coveted membership that include adopting new human rights and regulatory policies. As international organizations increasingly converge around the UN Guiding Principles on Business and Human Rights, how might they promote national uptake of these guidelines? This article considers the prospects of accession conditionality in answering this question. The focus of the article is on European Union and Organization for Economic Cooperation and Development (OECD) expansion in Central and Eastern Europe, where uptake of business and human rights policies remains comparatively low. The article argues that while these organizations increasingly include business and human rights conditionalities in accession negotiations, there remains significantly greater scope for promoting the Guiding Principles.

We develop 50 indices of state-level economic policy uncertainty (SEPU) based on newspaper coverage frequency using 204 million newspaper articles from Mar. 1984 to Dec. 2019. We assess the validity of our measures. Our SEPU indices vary counter-cyclically with respect to state-specific economic conditions, rise before close gubernatorial elections, and exhibit a large cross-sectional variation. We demonstrate that SEPU indices are associated with the cross-sectional variation in state-level GDP, employment, income as well as industry investment decisions. Our findings highlight the importance of economic policy uncertainty at the state level in addition to the nationwide level.

In almost every country, government is the largest buyer of works, goods, and services from the private sector. Through the laws and practice of public procurement, governments create competition among firms, thus optimizing public expenditure. However, public procurement is often associated with inefficient allocation of resources and corruption. One method to reduce inefficiencies and abuse in public procurement is the use of e-government procurement (e-GP) platforms. Yet nearly 40% of countries—mostly low- and lower-middle income countries—do not have functioning e-GP platforms. Cost–benefit analysis is used to make the investment case for the development and integration of e-procurement systems in low- and lower middle-income countries. The costs of setting up an e- GP system include an initial investment of $9.03 million, on average, for the planning, design, and build phases spread over a 5-year period. Annual operating and maintenance expenses during pilot and deployment phases are estimated at $1.1 million annually. In total, it is estimated that the net present value of costs to design, build, test, deploy, and operate a robust e-GP system is $16.7 million for a typical low- and middle-income country (at an 8% discount rate). While there are many tangible benefits of e-GP, the benefit assessed here is the reduction in the prices of goods, works, and services paid by government buyers. Using the average percentage reduction in procurement prices of 6.75%, the savings from an e-procurement system are valued at $637.9 million and $5.2 billion for low- and lower middle-income countries, respectively. The benefit–cost ratio of implementing an e-GP system in the average low-income country ranges from 8 to 58 and is 142 to 473 for a lower middle-income country. The size of the procurement market, the reduction in procurement prices, the duration of the implementation process, and the penetration rate of e-GP throughout government are principal determinants in the return on investment.

In this study, we investigate whether and how trust between board members and the CEO (board–CEO trust) affects the performance of mergers and acquisitions. Contrary to conventional wisdom, we find that firms with higher levels of board–CEO trust exhibit poor M&A performance. High trust is associated with low acquisition announcement returns, long-term stock return performance, and post-deal operating performance. This negative effect of board–CEO trust is more pronounced among acquiring companies prone to agency problems. Our results suggest that, in the institutional setting of corporate boards, high trust can be too much of a good thing.

The uncertainty and insecurity generated by COVID-19 has greatly reshaped work styles, bringing employees more strain and less engagement and subsequently making human resource management (HRM) more challenging. There has been a growing interest in employee work engagement in the field of HRM. This study utilized positive psychology and the job demands-resources model to explore the mediating mechanism between high-performance work systems (HPWS) and employee work engagement. Based on survey data from 71 senior HR managers and 288 employees of 71 China's manufacturing state-owned enterprises, multilevel structural equation modeling shows that HPWS is positively related to work engagement. Employee-perceived internal marketability fully mediates the relationship between HPWS and work engagement. The key result of this paper is that employee-perceived internal marketability is seen as a core personal psychological resource that can be developed through HPWS to benefit both employers and employees.

In addition to effects from greenhouse gases, climate change is affected by short-lived climate forcers (SLCF). These are often co-emitted with carbon dioxide, and some are regulated air pollutants. In the governance of these pollutants, established estimates of damage costs of pollution inform benefit–cost analyses. However, climate change impact of SLCFs is omitted from these estimates. The purpose of this study is to calculate economic damage costs of air pollutants’ effect on climate change and compare these with established damage costs. Focus is on European emissions governed in the EU National Emission Reduction Commitments Directive during 2020–2050. We use well-known SLCF emission metrics and multiply with literature values on social costs of methane to calculate climate damage costs of SLCFs. The results indicate that average absolute climate damage costs are highest for black carbon ($59,500/ton in 2050) and lowest for nonmethane volatile organic compounds ($661/ton). Our indicative values are likely underestimations. Indicative climate damage costs are usually lower than established damage costs, with notable exceptions. We propose that more detailed studies are necessary, and that inclusion of climate damage costs into economic valuation of SLCFs is important for future air pollution and climate benefit–cost analyses.