The IAS/IFRS application on the intangible assets of non-listed companies

With the introduction of IFRS （International Financial Reporting Standards） most of the intangibles are expensed on the income statement and hence they ＂disappear＂ from the balance sheet, while investments in tangible assets are capitalized. Based on a sample of 128 firms, made up of 99 SMEs （Small and Medium Enterprises） and 29 large firms, and through a simulation of IAS （International Accounting Standards） transition, the authors＇ study finds that IAS 38 reduces the amount of intangible assets recognized on the balance sheet of SMEs, while large firms do not appear to experience such large reductions in their intangible assets. The differential effect of IAS 38 on SMEs and large firms can be explained by the different growth strategies of these firm types. SMEs largely depend on internal paths of growth and intangibles assets that typically arise from internal growth strategies are eliminated from the balance sheet under IAS 38. Larger firms are less exposed to such reductions in their intangibles assets, because they mostly follow external paths of growth and the treatment of those intangible assets that typically arise from external growth strategies requires the impairment test.     

Exploring professionals' motivation to lead: a cross-level study in the healthcare sector

The extant leadership research has paid increasing attention to the concept of motivation to lead (MTL) as an individual construct that strongly affects leadership processes and behaviors. However, despite its importance, scant knowledge is available about how individual characteristics and organizational structural features interact in influencing MTL in professional-based organizations. This article contributes to this line of research by adopting a multilevel perspective to study the MTL among individual professionals in the healthcare sector. We collected data from a sample of 791 physicians nested in 44 departments belonging to 27 hospitals. Using the hierarchical linear model, we tested the impact of individual and organizational variables on the motivation of physicians to engage in managerial positions. Our findings demonstrate that the physicians' MTL was positively associated with their individual self-efficacy. Departmental decentralization interacted with this self-efficacy, such that the effect of self-efficacy on the MTL was significantly lower when decentralization was high. We discuss the implications of these findings for human resource management and organizational (re)design within professional organizations.     

Market and Model Credit Default Swap Spreads: Mind the Gap!

Structural models of default establish a relation across the fair values of various asset classes (equity, bonds, credit derivatives) referring to the same company. In most circumstances such relation is verified in practice, as different financial assets tend to move in the same direction at similar speed. However, occasional deviations from the theoretical fair values occur, especially in times of financial turmoil. Understanding how the dynamics of the theoretical fair values of various assets compares to that of their market values is crucial to a number of market participants. This paper investigates whether a popular structural model, the CreditGrades approach proposed by Finger (2002) , Stamicar and Finger (2005) , succeeds in explaining the dynamic relation between equity/option variables and Credit Default Swap (CDS) premia at individual company level. We find that CDS model spreads display a significant correlation with CDS market spreads. However, the gap between the two is time varying and widens substantially in times of financial turbulence. The analysis of the gap dynamics reveals that this is partly due to episodes of decoupling between equity and credit markets, and partly due to shortcomings of the model. Finally, we observe that model spreads tend to predict market spreads.     

From network ties to network structures: Exponential Random Graph Models of interorganizational relations

Theoretical accounts of network ties between organizations emphasize the interdependence of individual intentions, opportunities, and actions embedded in local configurations of network ties. These accounts are at odds with empirical models based on assumptions of independence between network ties. As a result, the relation between models for network ties and the observed network structure of interorganizational fields is problematic. Using original fieldwork and data that we have collected on collaborative network ties within a regional community of hospital organizations we estimate newly developed specifications of Exponential Random Graph Models (ERGM) that help to narrow the gap between theories and empirical models of interorganizational networks. After controlling for the main factors known to affect partner selection decisions, full models in which local dependencies between network ties are appropriately specified outperform restricted models in which such dependencies are left unspecified and only controlled for statistically. We use computational methods to show that networks based on empirical estimates produced by models accounting for local network dependencies reproduce with accuracy salient features of the global network structure that was actually observed. We show that models based on assumptions of independence between network ties do not. The results of the study suggest that mechanisms behind the formation of network ties between organizations are local, but their specification and identification depends on an accurate characterization of network structure. We discuss the implications of this view for current research on interorganizational networks, communities, and fields.     

THE SLOPE OF THE TERM STRUCTURE OF CREDIT SPREADS: AN EMPIRICAL INVESTIGATION

In this article we analyze the slope of the term structure of credit spreads. We investigate the explanatory role of interest rate, market, and idiosyncratic equity variables that the recent empirical literature highlights as important determinants of credit spread levels. This study extends the analysis and assesses its effect on credit slopes for a sample of corporate bonds. We find that these factors affect credit spreads at short and long maturities in a significantly different way. A closer inspection of the credit spread slope also reveals that it is a useful indicator of the direction of changes in future short‐term credit spreads. This evidence has important implications for the trading and risk management of portfolios of bonds with different maturities.     

Pricing multiasset equity options: How relevant is the dependence function?

In this paper we test how different choices for the dependence function can affect the prices of a set of multiasset equity options. We conduct the analysis for various 5-dimensional baskets of UK shares, and a wide range of payoffs for the multiasset options, consistent with the instruments traded on the market. We also test the relevance of the dependence specification over both volatile and quiet market scenarios. Interestingly, we find that, in most circumstances, the choice of a dependence structure richer than the standard linear correlation does not seem to affect option prices substantially. However, the dependence function becomes more relevant in particularly volatile market conditions.     

Credit risk transfer in U.S. commercial banks: What changed during the 2007–2009 crisis?

Following the debate on the role of credit risk transfer (CRT) in exacerbating the 2007–2009 crisis, this paper investigates the usage and effects of loan sales, securitization, and credit derivatives in U.S. commercial banks over the last decade, with special emphasis on the financial crisis. We find that in times of severe funding constraints, the need to raise financial resources becomes the principal incentive behind CRT. We document some beneficial effects of CRT on the economy, since the funds released through CRT are subsequently invested by banks to sustain credit supply, also in recession. However, we report higher overall riskiness in banks that engage intensively in loans sales and securitization, which translates into higher default rates during the crisis. Interestingly, the benefits and drawbacks of CRT are much stronger for loan sales and securitization than for credit derivatives.     

Bank credit constraints for women‐led SMEs: Self‐restraint or lender bias?

We test the existence of possible gender biases affecting firm behavior in demanding and obtaining bank credit using a cross‐country sample of European small‐ and medium‐sized enterprises (SMEs). We show consistent evidence that female‐led firms are more likely than their male counterparts to refrain from applying for loans. When they apply, female‐led enterprises do not seem to face gender discrimination from the lender. Interestingly, however, signs of gender bias appear to arise during the upside phase of the economy. Overall, our study provides support for policy actions aimed at reducing the frictions faced by women‐led SMEs when accessing credit markets.     

The dynamics of the volatility skew: A Kalman filter approach

Much attention has been devoted to understanding and modeling the dynamics of implied volatility curves and surfaces. This is crucial for both trading, pricing and risk management of option positions. We suggest a simple, yet flexible, model, based on a discrete and linear Kalman filter updating of the volatility skew. From a risk management perspective, we assess whether this model is capable of producing good density forecasts of daily returns on a number of option portfolios. We also compare our model to the sticky-delta and the vega–gamma alternatives. We find that it clearly outperforms both alternatives, given its ability to easily account for movements of different nature in the volatility curve.