Hypothetical–actual bid calibration of a multigood auction

Evidence suggests the calibration of hypothetical and actual behavior is good-specific. We examine whether clustering commodities into mutual categories can reduce the burden. While we reject a common calibration across sets of commodities, a sport-specific calibration function cannot be rejected.     

Risk Management in Small- and Medium-Sized Businesses and How Accountants Contribute*

We investigate how owners of small- and medium-sized enterprises (SMEs) perceive, make sense of, and practice risk management. Drawing on Schatzki's practice theory, we theorize on how and why risk management happens in SMEs. Thus, we fill a gap in the extant literature, which focuses almost exclusively on risk management within large organizations. We interview entrepreneurs and conduct site observations to gain insight into their risk management activities, the drivers that lead to the adoption of said activities, their attitudes toward risk management, and how their accountants may shape and contribute to risk management in SMEs. We find that rather than a specific set of formal processes, entrepreneurs view risk management as a mindset that emphasizes the preservation of key assets, creation of competitive advantages, and development of local talent and expertise. We observe practices that are mainly informal yet planned, deliberate, and fully integrated within the fabric of organizations that align with ideal forms of risk management. We also find that full-time, in-house accountants do help entrepreneurs with risk management, while external accountants, whose main activities relate to financial statement preparation and tax filings, do not systematically help entrepreneurs manage risk. We contribute to both the theory and practice of risk management by sharing empirical insights into how SME owners perceive, make sense of, and manage risk.     

Vulnerable options,risky corporate bond,and credit spread

In the current literature, the focus of credit‐risk analysis has been either on the valuation of risky corporate bond and credit spread or on the valuation of vulnerable options, but never both in the same context. There are two main concerns with existing studies. First, corporate bonds and credit spreads are generally analyzed in a context where corporate debt is the only liability of the firm and a firm’s value follows a continuous stochastic process. This setup implies a zero short‐term spread, which is strongly rejected by empirical observations. The failure of generating non‐zero short‐term credit spreads may be attributed to the simplified assumption on corporate liabilities. Because a corporation generally has more than one type of liability, modeling multiple liabilities may help to incorporate discontinuity in a firm’s value and thereby lead to realistic credit term structures. Second, vulnerable options are generally valued under the assumption that a firm can fully pay off the option if the firm’s value is above the default barrier at the option’s maturity. Such an assumption is not realistic because a corporation can find itself in a solvent position at option’s maturity but with assets insufficient to pay off the option. The main contribution of this study is to address these concerns. The proposed framework extends the existing equity‐bond capital structure to an equity‐bond‐derivative setting and encompasses many existing models as special cases. The firm under study has two types of liabilities: a corporate bond and a short position in a call option. The risky corporate bond, credit spreads, and vulnerable options are analyzed and compared with their counterparts from previous models. Numerical results show that adding a derivative type of liability can lead to positive short‐term credit spreads and various shapes of credit‐spread term structures that were not possible in previous models. In addition, we found that vulnerable options need not always be worth less than their default‐free counterparts. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:301–327, 2001     

Empirical organizational‐level examinations of agency and collaborative predictions of performance‐contingent compensation

Competitive predictions regarding the relationships between: (a) monitoring and agent tenure, and (b) performance‐contingent compensation are derived from agency theory and collaborative perspectives. These results are tested in a within‐industry (trucking) sample and in a cross‐industry sample. The results partially support both perspectives, particularly with respect to monitoring and agent tenure. Implications of the results for theory and practice are discussed. Copyright © 2000 John Wiley & Sons, Ltd.     

Short-Run Demand and Uncertainty of Outcome in Major League Baseball

This article explores the importance of uncertainty in athletic contests. We use a probit model and Monte Carlo simulations to forecast game outcomes in Major League Baseball. Simulations are necessary to understand fully the preferences that consumers have towards uncertainty in sports. We use these simulations to estimate demand using attendance data for regular season games. Our findings show that when game, playoff, and consecutive season uncertainty measures are all included in estimating attendance for individual games, only the metrics that are related to the home team’s standing are significant. These metrics include the change in performance from the previous season and the importance of the game in qualifying for the playoffs.     

An annual index of Irish industrial production, 1800–1913

We assemble the Irish industrial data currently available for the years 1800–1921, the period during which the entire island was in a political union with Great Britain, and construct an annual index of Irish industrial output for 1800–1913. We also construct a new industrial price index. Irish industrial output grew by an average of 1.3 per cent per annum between 1800 and the outbreak of the First World War. Industrial growth was slightly slower than previously thought, especially during the two decades immediately preceding the Great Famine. While Ireland did not experience absolute deindustrialisation either before the Famine or afterwards, its industrial growth was disappointing when considered in a comparative perspective.     

Using input–output models to estimate sectoral effects of carbon tax policy: Applications of the NGFS scenarios

The Network of Central Banks and Supervisors for Greening the Financial System (NGFS) has engaged in scenario analysis that estimates a $200/ton carbon tax would be required to transition to net zero carbon by 2050. Using a $200/ton carbon tax as a base, this paper uses input–output (IO) modeling to generate price and revenue effects of a carbon tax. Results from these models, which can only be interpreted as the short-run, upper-bound effects of the carbon tax policy, imply that in response to a $200/ton tax on CO₂e emissions, carbon-intensive industries, such as agriculture, extraction, transportation, utilities, and chemicals, may experience price increases in the range of 10-30 percent. Other industries will also experience price increases, but to a lesser degree, due to increased input costs associated with the tax. In addition, modeling results also suggest that industries facing elastic pricing regimes may face similar-sized declines in revenues as a consequence of the carbon tax. Rank-ordered impact results from these models can be utilized by bank supervisors and firms to adequately plan for sectoral-level transition risk within their lending and/or investment portfolios.