Do non-profit hospitals provide more charity care when faced with a mandatory minimum standard? Evidence from Texas

Policymakers often question whether not-for-profit (NFP) hospitals provide enough charity care to justify tax advantages. In 1993, Texas enacted legislation requiring NFP hospitals to provide certain community benefits at levels set forth in specific criteria to retain tax-exempt status; this paper focuses on the effect of the legislation’s requirement that NFP hospitals spend a minimum of 4% of net patient revenue on charity care. We also study a modification of the law passed in 1995, which allows the deduction of bad debts expense when calculating net patient revenue. This change effectively lowers required charity care spending, and our study considers whether Texas hospitals responded by reducing charity care spending.     

Generalized parameter functions for option pricing

We extend the benchmark nonlinear deterministic volatility regression functions of Dumas et al. (1998) to provide a semi-parametric method where an enhancement of the implied parameter values is used in the parametric option pricing models. Besides volatility, skewness and kurtosis of the asset return distribution can also be enhanced. Empirical results, using closing prices of the S&P 500 index call options (in one day ahead out-of-sample pricing tests), strongly support our method that compares favorably with a model that admits stochastic volatility and random jumps. Moreover, it is found to be superior in various robustness tests. Our semi-parametric approach is an effective remedy to the curse of dimensionality presented in nonparametric estimation and its main advantage is that it delivers theoretically consistent option prices and hedging parameters. The economic significance of the approach is tested in terms of hedging, where the evaluation and estimation loss functions are aligned.     

Persistence and the four‐factor model in the Australian funds market: a note

We investigate whether Australian fund managers are able to deliver persistent performance using Carhart’s (1997) four‐factor model. Short‐ and long‐term persistence is examined and the sample is also divided into unit trusts and superannuation funds. We do not find evidence of persistence in any sample of funds. We find that winner (loser) funds tend to hold past winner (loser) stocks. Winner and loser unit trusts both appear to have positive exposure to small stocks.     

The Effects of Ambiguous Information on Initial and Subsequent IPO Returns

Newly public companies must disclose significant risk factors in the offering prospectus. These disclosures are examples of “soft” or ambiguous information. Ambiguity models predict that investors will alter their portfolio weights and react to subsequent signals about such information. We test for these effects in a sample of 1,398 initial public offerings (IPOs) using word count ratios between soft and hard information as measures of ambiguity. We find a significant relationship between the soft information on risk and both initial and ex post measures of returns. These results support the view that soft information embeds ambiguity and that it influences investors’ portfolio choices.     

Educational Insights: A Hybrid Course in Risk Management and Insurance

Universities and colleges continue to face constraints related to classroom space and faculty time, thus increasing the need to consider options such as hybrid courses that can leverage available resources. This article discusses the benefits of a hybrid course, as well as its design and implementation at a large, public university. In addition, for universities that use the introduction to risk and insurance course as a significant course for attracting majors, we identify the benefits for students from the use of hybrid courses, such as the variety of materials and activities utilized, as well as the flexibility in scheduling. This information may be useful in marketing the course so that it will be immediately attractive to students.     

An Optimal Product Mix for Hedging Longevity Risk in Life Insurance Companies: The Immunization Theory Approach

This article investigates the natural hedging strategy to deal with longevity risks for life insurance companies. We propose an immunization model that incorporates a stochastic mortality dynamic to calculate the optimal life insurance–annuity product mix ratio to hedge against longevity risks. We model the dynamic of the changes in future mortality using the well‐known Lee–Carter model and discuss the model risk issue by comparing the results between the Lee–Carter and Cairns–Blake–Dowd models. On the basis of the mortality experience and insurance products in the United States, we demonstrate that the proposed model can lead to an optimal product mix and effectively reduce longevity risks for life insurance companies.     

Takeover risk and the correlation between stocks and bonds

Existing research suggests that, for a given firm, stock returns and bond prices are positively related, and this implies a negative relation between stock returns and bond spreads. In this paper, we show how takeover risk influences this relation. Bondholders of high-rated firms can suffer losses in a takeover, particularly if the takeover is largely funded with debt, resulting in a more positive (or less negative) correlation between stock returns and bond spread changes. Consistent with this notion and based on a large sample of data covering the period from 1980 to 2000, we find that high-rated firms which are likely to be taken over have a more positive correlation between stock returns and bond spread changes, while target firms with a poison put or an indebtedness covenant have a more negative correlation. Overall, our findings have implications for the pricing and hedging of bonds and default risk based financial products such as credit default swaps.     

Examining bank SEOs: Are offers made by undercapitalized banks different?

Despite extensive monitoring, banking operations are often considered opaque, and despite explicit capital adequacy regulation, banks may have substantial discretion in their financing. Both monitoring and capital regulation have changed substantially over time, with the adoption of FDICIA being one important breakpoint. This article empirically studies seasoned equity offerings (SEOs) by banks to understand how opacity and capital regulation interact to determine the timing of bank SEOs and their market valuation. SEOs both by banks that are undercapitalized relative to regulatory standards and also well-capitalized banks are fully discretionary when it comes to SEOs, even before FDICIA. Both undercapitalized and well-capitalized banks experience similar and significantly negative stock price reactions to SEO announcements, and also have similar prior patterns of insider trading and similar economic drivers of the issuance decision. Moreover, post-SEO abnormal stock returns are similar to benchmark returns for both types of issuers in the long run, suggesting that, contrary to the well-documented evidence for industrial SEOs, investors understand the value implications of bank SEOs upon announcement. The evidence implies that undercapitalized banks' SEOs are more discretionary and that all bank SEOs are less opaque than implied by earlier studies.     

Inter-market competition for NYSE-listed securities under decimals

Blume and Goldstein (J Finance 52:221–244, 1997) suggest that quote competition between trading venues may diminish following tick size reductions. We test this suggestion by studying the competitive landscape in the NYSE-listed stocks before and after decimalization. We find that NBBO (National Best Bid and Offer) participation by non-NYSE venues declines following decimalization consistent with the prediction. At the same time, the importance of quote competitiveness in attracting order flow increases. In addition, although not as active in determining and maintaining the best quotes under decimals, non-NYSE venues become more active in price discovery. Finally, decimalization leads to lower trading costs and to smaller differences in trading costs across trading venues.