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The Pricing of Uncertain Information: From the Lab, to Derivatives Markets, to State-contingent Sovereign Debt

Limits of Arbitrage and Collateral Constraints

Patient-specific multi-parametric computational model of lower limb muscle function from PET/MRI studies


Le but de la présente étude est d'étudier et de développer un modèle multidimensionnel des muscles des membres inférieurs spécifique pour le patient. Ce modèle combine des données anatomiques tridimensionnelles et des informations dynamiques fonctionnelles concernant la déformation musculaire, acquises à l'aide de l'imagerie PET et MRI.

How Media Coverage of Corporate Social Irresponsibility Increases Financial Risk Media Coverage of Corporate Social Irresponsibility


This article explores the relationship between corporate social irresponsibility (CSI) and financial risk. We posit that media coverage of CSI generates risk by providing conditions that increase the potential for stakeholder sanctions. Through analyzing an international panel of 539 firms during 2008–2013, we find that firms receiving higher CSI coverage face higher financial risk. We show that the reach of the reporting media outlet is a critical condition for this relationship. Once the outlet has a high reach, the severity of CSI coverage is a boundary condition that further reinforces the effect. Our findings complement existing theory about the risk-mitigating effect of corporate social responsibility by illuminating the risk-generating effect of CSI coverage. For executives, these insights suggest complementary strategies for corporate risk management.

The International Diversification of Banks and the Value of Their Cross-Border M&A Advice

Capital Regulation and Credit Fluctuations


We provide a rationale for imposing counter-cyclical capital ratios on banks. In our simple model, bankers cannot pledge the entire future revenues to investors, which limits borrowing in good and bad times. Complete markets do not sufficiently stabilize credit fluctuations, as banks allocate too much borrowing capacity to good states and too little to bad states. As a consequence, bank credit, output, capital prices or wages are excessively volatile. Imposing a (stricter) capital ratio in good states corrects the misallocation of the borrowing capacity, increases expected output and can be beneficial to all agents in the economy. Although in our economy, all agents are risk-neutral, counter-cyclical capital ratios are an effective stabilization tool. To ensure this effectiveness, capital ratios have to be based on ex ante equity capital, as classical capital ratios can be bypassed.

In the short run blasé, In the long run risqué


We identify the impact of short-term interest rates on credit risk-taking in the short and long run by analyzing a comprehensive credit register from Spain, a country where for the last twenty years monetary policy was mostly decided abroad. Duration analyses show that lower overnight rates prior to loan origination lead banks to lend more to borrowers with a worse credit history and to grant more loans with a higher per-period probability of default. Lower overnight rates during the life of the loan reduce this probability. Bank, borrower and market characteristics determine the impact of overnight rates on credit risk-taking.

Finance and development in muslim economies

A survival analysis of islamic and conventional banks


Are Islamic banks inherently more stable than conventional banks? We address this question by applying a survival analysis based on the Cox proportional hazard model to a comprehensive sample of 421 banks in 20 Middle and Far Eastern countries from 1995 to 2010. By comparing the failure risk for both bank types, we find that Islamic banks have a significantly lower risk of failure than that of their conventional peers. This lower risk is based both unconditionally and conditionally on bank-specific (microeconomic) variables as well as macroeconomic and market structure variables. Our findings indicate that the design and implementation of early warning systems for bank failure should recognize the distinct risk profiles of the two bank types.

Autoregressive Lag-Order Selection Using Conditional Saddlepoint Approximations


A new method for determining the lag order of the autoregressive polynomial in regression models with autocorrelated normal disturbances is proposed. It is based on a sequential testing procedure using conditional saddlepoint approximations and permits the desire for parsimony to be explicitly incorporated, unlike penalty-based model selection methods. Extensive simulation results indicate that the new method is usually competitive with, and often better than, common model selection methods.


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