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We argue that uninformed subscribers to an initial public offering (IPO) of common stocks are exposed to greater ex ante risk of trading against informed traders in the secondary market because the advent of public trading conveys hitherto private information and thereby mitigates adverse selection. The going‐public firm underprices the new issue to compensate uninformed subscribers for this added secondary market adverse selection risk. We test this market liquidity‐based explanation by investigating the ex‐post consequences of ownership structure choice on the initial pricing and the secondary market liquidity of a sample of initial public offerings on the New York Stock Exchange (NYSE). Consistent with our argument, we find that initial underpricing varies directly with the ex post trading costs in the secondary market. Further, initial underpricing is related positively to the concentration of institutional shareholdings and negatively to the proportional equity ownership retained by the founding shareholders. Finally, the secondary market illiquidity of new issues is positively related to institutional ownership concentration and negatively to ownership retention and underwriter reputation. Thus, the evidence based on our NYSE sample supports the view that the entrepreneurs' choice of ownership structure affects both the initial pricing and the subsequent market liquidity of new issues.

Why do lenders shrink back from full risk pricing in certain credit markets, even when a sophisticated system of credit scoring is already in place? Fear of bad publicity is the usual reason cited but this paper offers a complementary explanation which suggests that there may be an underlying financial process driving such behaviour. The key proposition of the paper is that risk pricing can cause adverse selection which has the potential to mitigate any positive benefits such a pricing strategy may bring to the lender. This explanation is developed by introducing risk pricing into the seminal Stiglitz and Weiss model and in so doing offers the first substantial link between the risk assessment and credit rationing literatures.

Public reports of provider-specific patient outcomes aim to help consumers select suppliers of medical services. Yet, in an environment of rapidly changing medical technology and increasingly heterogeneous patient populations, and because they necessarily reflect the experience of other patients who received care in the past, such reports may be of limited value in helping patients forecast the probability of an adverse outcome for each provider they are considering. I propose that providers underwrite insurance policies that promptly pay patients a predetermined sum after an adverse outcome. Patients can use such outcome warranties to infer quality differences among providers easily and reliably. In addition, outcome warranties efficiently reward both providers and patients for reducing the risk of adverse outcomes and thereby improve the safety and affordability of health care. As such, outcome warranties help advance four important goals of health care management: reduction of financial risk, recruitment and retention of physicians, remediation of adverse outcomes, and raising the provider's reputation.

This study aims to explore information asymmetry (IA) (as measured by the adverse selection component of the bid-ask spread) around S&P 500 revisions.

The authors use adverse selection cost of trading measures to examine the effects of S&P 500 index composition changes on the trading environment from 2001 to 2010.

The authors find that the adverse selection cost of trading significantly decreases post-addition and increases post-deletion. However, the intraday price dynamics of additions to the index seem to be distinct from those of deletions from the index. The event period cumulative abnormal returns (CARs) for additions are significantly associated with the change in the adverse selection cost of trading. However, this association is non-significant for deletions. The CARs for deletion events are found to be significantly associated with the change in realized spreads. Realized spreads are a measure of revenue earned by liquidity providers in the market.

This study helps better understand the dynamics of two types of IA – one from a firm to investor and the other between investors – and presents evidence of the role of adverse selection in index changes. By doing so, it helps better understand the mechanism driving price formation post-addition to and deletion from an index.

The purpose of this study aims to examine the effect of fintech on pre- and post-financing credit risks faced by the Islamic banks.

This research uses primary data for fintech awareness and adoption and secondary data of various financial and economic variables from 2009 to 2021. It uses baseline regression to identify moderation of fintech controlling gross domestic products, size, return on assets and leverage. The findings are confirmed using robustness against key variable bias. It also uses a dynamic panel two-stage generalized method of moments for endogeneity.

The study finds that the fintech awareness and adoption are not the same across all Islamic countries. The Asia Pacific region is far ahead of the other two regions where Indonesia is ahead in terms of fintech awareness and adoption, and Malaysia is ahead in terms of reaping its benefits in credit risk management. Fintech affects prefinancing credit risk significantly more than postfinancing credit risk. Also, the study finds that Islamic banks suffer from the problem of “Adverse selection under Shariah compliance.”

This research invites regulators to introduce fintech in Islamic banks on war footing. Similar studies can be conducted on the role of other risks such as operational and market risks. Fintech will also help in improving the risk profile and stability of Islamic banks against systemic risks and financial crises.

This research has variety of originalities. First, it is the pioneering study that addresses the effect of fintech pre- and post-financing credit risks in Islamic banks. Second, it identifies “Adverse selection under Shariah compliance” for Islamic banks. Third, it helps identify how fintech can be useful in reducing credit risk that will help in reducing capital charge for regulatory capital.

The purpose of this study is to examine the impact of a recent innovation in the uranium market, the Global X Uranium Exchange-Traded Fund (URA), on the trading characteristics of constituent and non-constituent stocks.

The authors analyse bid-ask spread measures, relative effective spreads and adverse selection costs to assess changes in information asymmetry among uranium stocks. The authors also study abnormal returns to assess the impact of URA on the market.

Over a three-month period, following the introduction of URA, the authors find uranium stocks display decreased bid-ask spread measures, driven by reductions in information asymmetry. Relative effective spreads decrease by 36% after the introduction of URA, and adverse selection costs decline by 24% over the same period. Uranium stocks experience a significant positive abnormal return of 5.0% the day after the introduction of URA with subsequent price reversals. These suggest that the introduction of URA prompted uninformed traders to rebalance portfolios and migrate to the less information-sensitive Exchange-Traded Fund (ETF), causing temporary deviations in trading characteristics.

The authors demonstrate that the introduction of new financial securities to the market can have a significant impact on the trading characteristics of related equities. As URA is the only ETF in the uranium sector, the authors thereby avoid the influence of multiple ETFs that may have impacted previous studies.

Few issues in business ethics are as polarizing as the practice of risk classification and underwriting in the insurance industry. Theorists who approach the issue from a background in economics often start from the assumption that policy-holders should be charged a rate that reflects the expected loss that they bring to the insurance scheme. Yet theorists who approach the question from a background in philosophy or civil rights law often begin with a presumption against so-called “actuarially fair” premiums and in favor of “community rating,” in which everyone is charged the same price. This paper begins by examining and rejecting the three primary arguments that have been given to show that actuarially fair premiums are unjust. It then considers the two primary arguments that have been offered by those who wish to defend the practice of risk classification. These arguments overshoot their target, by requiring a “freedom to underwrite” that is much greater than the level of freedom enjoyed in most other commercial transactions. The paper concludes by presenting a defense of a more limited right to underwrite, one that grants the legitimacy of the central principle of risk classification, but permits specific deviations from that ideal when other important social goods are at stake.

In Australia broadacre crops can be insured against hail and fire damage and some other perils but not against losses caused by drought, flood or frost. The purpose of this paper is to investigate the private provision of crop insurance in Western Australia.

A farm survey was conducted with the cooperation of dryland farmers belonging to Western Australian grower groups. The willingness to pay for hail insurance is modelled as a function of risk aversion, risk of crop failure and government assistance; and the effect of expected crop yield in t/ha on the crop area is investigated.

The empirical analysis shows that the coefficient of relative risk aversion is 2.7. An increase in the variability of crop yield by 20 per cent, which may be caused by future climate change, would raise the willingness to pay for crop insurance one‐to‐one by 20 per cent. Adverse selection plays a minor role because almost all farmers buy full coverage for hail insurance and associated risks. A future supplier of multi‐peril crop insurance must, however, consider the potential for ex ante moral hazard because the size of the crop area depends on the expected crop yield in t/ha.

The Global Financial Crisis has provided a stark reminder that society crucially depends on the efficient and fair allocation of risk. Climate change threatens the livelihood of farmers and food security. Private multi‐peril crop insurance, which has yet to emerge, would improve the welfare of rural populations and the efficiency of farming.

Few empirical studies deal with the private provision of multi‐peril crop insurance because the market for multi‐peril crop insurance fails worldwide and private insurance does not exist. In this study, Australian crop insurance serves as a proxy to gain an understanding of multi‐peril crop insurance.

This paper aims to assess the impact of different financing strategies used in the cross-border acquisitions on the shifts in the risk profile of the acquiring companies in India. The purpose is to discern which of the stated modes of payment, viz., cash, stock and earnout, enables an acquiring company in better hedging the risk of adverse selection in cross-border acquisitions.

Analysis has been conducted by computing unsystematic (alphas, αs) and the systematic (betas, βs) risk of the acquiring companies, for three different estimation periods, that is the pre-acquisition estimation period, the post-acquisition estimation period and the pooled estimation period. The computations of αs and βs, for each company, have been done by using the market model, whereas further analysis of the average αs and average βs has been done by applying analysis of variance and paired sample t-test.

It has been found that of the three modes of payment, earnouts provide best hedge to the acquiring companies for minimizing the risk of adverse selection in cross-border acquisitions.

The paper recommends earnouts as a prudent strategy for the acquiring companies from India as well as other emerging markets for their future global acquisitions.

This is the pioneering study on analyzing the impact of the different financing strategies on the shifts in the risk profile of acquiring companies.

The purpose of this paper is to examine the impact of the introduction of anonymous trading on the liquidity of New Zealand Stock Exchange (NZX)‐listed stocks.

The paper examines the impact of the switch to anonymous trading on effective spreads and adverse selection costs using both univariate and multivariate approaches and data spanning a 240‐day event window period. The paper also compares the NZX's share of trading in cross‐listed stocks before and after the switch to anonymous trading to determine if the change in market architecture improved the NZX's competitiveness vis‐à‐vis the Australian Stock Exchange (ASX).

The paper finds that effective spreads and adverse selection costs increased following the switch to anonymous trading across the broad range of NZX50 stocks, consistent with an increase in information risk in the post‐event period. However, the paper also finds that the switch to anonymous trading improved the NZX's market share in trading in cross‐listed stocks vis‐à‐vis the ASX.

The results show that market liquidity deteriorates in a more opaque environment due to the greater information risk facing investors. This is in sharp contrast to prior research, which reports that similar changes in pre‐trade transparency on other exchanges have improved market liquidity. The results suggest that although institutional investors and the NZX itself might well have benefited from the switch to anonymous trading, liquidity demanders face higher transaction costs as a result.