Explaining alliance success: Competences, resources, relational factors, and resource-advantage theory

Business alliances, by filling critical resource gaps, enable firms to have positional advantages that lead to superior financial performance. Some alliances, however, are more successful than others. The three prominent theoretical approaches to explaining alliance success rely on resources, competences, and relational factors. The authors theorize that the three approaches are interdependent and, using resource-advantage (R-A) theory as a framework, develop an integrative model. This model proposes that the three approaches are linked by means of relationships among (1) alliance competence, (2) complementary resources, (3) idiosyncratic resources, and (4) cooperation. A test of the model, using a sample of alliance professionals, finds support for the theory that the three approaches are, indeed, interdependent and that resources, construed in the manner of R-A theory, influence alliance success through positional advantage.     

The impact of e-business infusion on channel coordination, conflict and reseller performance

Manufacturer-reseller interactions are becoming more technology-enabled as channels of distribution increasingly utilize e-business tools on the Internet. This research examines the performance consequences for resellers as these technological advances are applied to distribution activities between channel members. Using a sample of 216 resellers of computer products, the research explores the impact of e-business tools in 2 areas of manufacturer-reseller interactions: supply tasks and demand tasks. The results suggest that e-business in supply tasks increases relationship coordination between manufacturer and reseller, whereas e-business in demand tasks increases coordination as well as conflict within the channel dyad. The increase of conflict constitutes a potential “dark side” of e-business in channel relationships that may provide an explanation for e-business implementation failures and negative returns on investment in technology.     

领导力技能连续体

尽管对于很多财务专业人士来说,实现财务领导力的想法是一个明确且现实的目标,但是很少有人了解成为一名真正的领导者需要哪些技能。     

The effect of alternative goals on earnings management studies: An earnings benchmark examination

Firms’ management manages earnings because they have incentives or goals to do so. Earnings management studies have to account for these different goals as tests of earnings management can be compromised by the effect of conflicting goals. I illustrate this in the setting of Dechow et al. (2003). Their study examines whether firms with small profits and firms with small losses (loss-avoidance benchmark) have differing levels of discretionary accruals. Dechow et al. (2003) find that firms just above the loss-avoidance benchmark do not have discretionary accruals that are significantly different than firms just below the benchmark. However, they do not consider firms just below the loss-avoidance benchmark that might be using discretionary accruals to avoid missing an alternative benchmark. I find that after I consider these alternate earnings benchmark goals, firms just above the benchmark have significantly higher discretionary accruals. This provides direct evidence that the ‘kink’ in the distribution of earnings arises from earnings management. I find similar results for the earnings changes benchmark. These findings highlight the need to consider alternative earnings benchmark goals when examining firms immediately around benchmarks.     

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.     

The Relation Between Voluntary Disclosure and Financial Reporting: Evidence from Synthetic Leases

I investigate how the use and voluntary disclosure of synthetic leases is affected by incentives to defer cash outflows and manage the financial statements by keeping debt off the balance sheet. I find that managers of cash‐constrained firms with incentives to defer cash payments are more likely to finance asset purchases with synthetic leases. The mandated reporting for synthetic leases allows managers to avoid disclosing the financial consequences of these transactions. Managers of firms with incentives to use off‐balance‐sheet financing do not provide transparent disclosure about their synthetic leases. However, managers of cash‐constrained firms, which are less likely to use synthetic leases for financial reporting reasons, do voluntarily disclose the existence and financial consequences of these contracts. Alternative tests around FIN 46 adoption corroborate these findings.     

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.     

Predicting issuer credit ratings using a semiparametric method

This paper proposes a prediction method based on an ordered semiparametric probit model for credit risk forecast. The proposed prediction model is constructed by replacing the linear regression function in the usual ordered probit model with a semiparametric function, thus it allows for more flexible choice of regression function. The unknown parameters in the proposed prediction model are estimated by maximizing a local (weighted) log-likelihood function, and the resulting estimators are analyzed through their asymptotic biases and variances. A real data example for predicting issuer credit ratings is used to illustrate the proposed prediction method. The empirical result confirms that the new model compares favorably with the usual ordered probit model.     

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.     

Why Do the Swiss Rent?

At less than 34%, Switzerland has the lowest home ownership rate in Western Europe. This may seem odd given the economic strength of the country. We use household survey data for five Swiss cantons to explore some possible reasons for this. We estimate a tenure choice equation that allows us to analyze the impacts of a number of key variables on the ownership rate. We pay particular attention to the relative cost of owning and renting, which is a function of house prices, rents, and the user cost of owning. The latter is a function of income tax policy and expected house price inflation, among other things. We also measure mortgage underwriting criteria and consider rent control and other policies affecting rental housing. By simulating a number of hypothetical changes to taxation and other policies, underwriting criteria, and price levels, we assess the importance of these variables in explaining the ownership rate. We conclude that high house prices—relative to household incomes and wealth—and the tax on imputed rent are the most important causes of Switzerland’s low ownership rate.