Addressing major global environmental and social challenges requires transformation of the private sector. Small- to medium-sized enterprises (SMEs) constitute 90% of private organisations globally, resulting in calls for research into the strategic roles SMEs can play in shaping sustainable futures through adopting sustainable business models (SBMs). The purpose of our study is to understand the factors that allow SMEs to successfully adopt SBMs. We used an exploratory qualitative approach drawing on interviews with SMEs implementing SBMs. Our findings extend contemporary insights by revealing the important role of the external support (‘enabling’) environment, and identifying—potentially transformative—capabilities that can help steer SMEs’ transitions to SBMs. These include persistence, tenacity, flexibility, adaptability, and a willingness to learn and fail. They enable SMEs to successfully operate in times of uncertainty and rapid changes in the external environment, and respond to new requirements through changes to their business models.

An unintended consequence of recent governance reforms in the United States is firms’ greater reliance on older director candidates, resulting in noticeable board aging. We investigate this phenomenon’s implications for corporate governance. We document that older independent directors exhibit poorer board meeting attendance, are less likely to serve on or chair key board committees, and receive less shareholder support in annual elections. These directors are associated with weaker board oversight in acquisitions, CEO turnovers, executive compensation, and financial reporting. However, they can also provide particularly valuable advice when they have specialized experience or when firms have greater advisory needs.

Information production associated with derivatives markets is not a sideshow; rather, it has significantly positive spillover effects on an array of corporate decisions of underlying firms. Using a regression-discontinuity design based on exogenous variation in options availability as an instrument for changes in the information environment, we show that options introductions have causal effects on corporate policies on both sides of the balance sheet. Through improved information efficiency, options availability reduces the need for debt and payout, increases efficient investment, and yields superior innovation. We conduct two independent experiments demonstrating that our instrument’s impact is not derived from alternative channels.

This article studies the relationship between credit provision and stock trading behavior. We collect every stock transaction of the three major British companies during the 1720 South Sea Bubble and link stock trading to margin loan positions with the Bank of England. We give insights in the selection of traders into the loan facility by comparing the trading behavior and realized returns of borrowers to other traders. We find that loan holders are more likely to buy following high returns and document strong underperformance of borrowers.

How should the lender of last resort provide liquidity to banks during periods of financial distress? During the 2008–2010 crisis, banks avoided borrowing from the Fed’s long-standing discount window but actively participated in its special monetary program, the Term Auction Facility, although both programs had the same borrowing requirements. Using an adverse selection model with endogenous borrowing decisions, we explain why the two programs suffer from different stigma costs and how the introduction of TAF incentivized banks’ borrowing. We discuss the empirical relevance of the model’s predictions.

We show theoretically that the usual estimated investment strategies will not achieve the optimal Sharpe ratio when the dimensionality is high relative to sample size, and the $ 1/N $ rule is optimal in a 1-factor model with diversifiable risks as dimensionality increases, which explains why it is difficult to beat the $ 1/N $ rule in practice. We also explore conditions under which it can be beaten, and find that we can outperform it by combining it with the estimated rules when $ N $ is small, and by combining it with anomalies or machine learning portfolios, conditional on the profitability of the latter, when $ N $ is large.

The social cost of greenhouse gases is important in many regulatory impact analyses. However, calculations of the social cost of greenhouse gases are highly complex and periodically revisited. We offer seven recommendations to improve current estimates. These include recommendations to use both country-level and global measures of the social cost of greenhouse gases, to use country-specific values for monetizing climate damages, to represent uncertainties by reporting distributions instead of using only central values, and to conduct a temporal distributional analysis that shows the magnitudes of climate damages across generations. We also provide recommendations for the discount rates that should be used when estimating the social cost of greenhouse gases, and the appropriate discount rates for regulatory impact analyses that include the social cost of greenhouse gases.

The Sustainable Development Goals (SDGs) are ambitious but in deep trouble. Benefit–cost analysis can help. This Special Issue highlights 12 of the most efficient interventions to speed up progress on the SDGs with Benefit–Cost Ratios (BCRs) above 15. The approaches cover tuberculosis, education, maternal and newborn health, agricultural R&D, malaria, e-procurement, nutrition, land tenure security, chronic diseases, trade, child immunization, and skilled migration. Spanning 2023–2030, these policy approaches are estimated to cost an annual average of $41 billion (of which $6 billion is non-financial). They will realistically deliver $2.1 trillion in annual benefits, consisting of $1.1 trillion in economic benefits and 4.2 million lives saved. The pooled benefit–cost ratio of all 12 investments is 52. By prioritizing these high-impact “best buy” interventions, decision-makers can enhance resource allocation and contribute most efficiently to the SDGs.

What factors contribute to the differences in foreign direct investment (FDI) levels in environments characterized as high risk? While research shows that armed conflict influences foreign investment decisions, it remains unclear how conflict dynamics, specifically the relative power capabilities of warring parties, affect FDI. This study explores the effects of rebel strength relative to government forces on FDI. We argue that there is a reduction in foreign investments in civil conflict countries as rebels gain a military advantage relative to the government. Stronger insurgents send a signal that the government is losing its strength in the conflict, creating uncertainty regarding conflict outcomes and posing economic and security risks for investors. To avoid facing economic and property losses due to increasing rebel strength, investors are incentivized to decrease their investment in the conflict state. Using data on insurgent troop size relative to government forces and FDI, our findings show that higher military capabilities of rebel forces relative to the government are associated with less FDI inflows in conflict-affected countries.