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Using novel monthly data for 226 euro-area banks from 2007 to 2015, we investigate the determinants of changes in banks’ sovereign exposures and their effects during and after the crisis. First, public, bailed out and poorly capitalized banks responded to sovereign stress by purchasing domestic public debt more than other banks, with public banks’ purchases growing especially in coincidence with the largest ECB liquidity injections. Second, bank exposures significantly amplified the transmission of risk from the sovereign and its impact on lending. This amplification of the impact on lending does not appear to arise from spurious correlation or reverse causality.
The euro crisis was fueled by the diabolic loop between sovereign risk and bank risk, coupled with cross-border flight-to-safety capital flows. European Safe Bonds (ESBies), a union-wide safe asset without joint liability, would help to resolve these problems. We make three contributions. First, numerical simulations show that ESBies would be at least as safe as German bunds and approximately double the supply of euro safe assets when protected by a 30%-thick junior tranche. Second, a model shows how, when and why the two features of ESBies — diversification and seniority — can weaken the diabolic loop and its diffusion across countries. Third, we propose a step-by-step guide on how to create ESBies, starting with limited issuance by public or private-sector entities.
How do insiders trade?
(2016)
We characterize how informed investors trade in the options market ahead of corporate news when they receive private, but noisy, information about (i) the timing of the announcement and (ii) its impact on stock prices. Our theoretical framework generates a rich set of predictions about the insiders’ behavior and their maximum expected returns. Three different analyses offer empirical support for our approach. First, predicted trades resemble illegal insider trades documented in SEC litigation cases with insiders being more likely to trade in options that offer higher expected returns. Second, pre-announcement patterns in unusual activity in the options market ahead of significant corporate news are consistent with the predictions of our framework. We employ our approach to characterize informed trading ahead of twelve different types of news including the announcement of earnings, corporate guidance, M&As, product innovations, management changes, and analyst recommendations. Third, to address concerns that pre-announcement patterns are driven by speculation, we show that measures capturing trading activity in call (put) options with high expected returns predict significant positive (negative) corporate news in the aggregate cross-section.
Based on a unique data set of driving behavior we find direct evidence that private information has significant effects on contract choice and risk in automobile insurance. The number of car rides and the relative distance driven on weekends are significant risk factors. While the number of car rides and average speeding are negatively related to the level of liability coverage, the number of car rides and the relative distance driven at night are positively related to the level of first-party coverage. These results indicate multiple and counteracting effects of private information based on risk preferences and driving behavior.
Prestige and loan pricing
(2016)
We find that prestigious companies pay lower spreads and upfront fees on their loans despite the fact that prestige does not predict default risk over the life of the loan. Using survey data on firm-level prestige, we show that a one standard deviation increase in prestige reduces loan spreads by 6.18% per year and upfront fees by 22.86%. We identify causal effects (i) using fraud by industry peers as an instrument for borrower prestige and (ii) exploiting a regression discontinuity around rank 100 of the prestige survey. Banks that lend to prestigious firms attract more business afterwards compared to otherwise similar institutions. Moreover, the effect of prestige on upfront fees is particularly strong for new bank relationships. Our findings suggest that prestigious firms receive cheaper funding because the associated lending relationship helps banks establish valuable credentials they use to compete for future borrowers.
Data show that sovereign risk reduces liquidity, increases funding cost and risk of banks highly exposed to it. I build a model that rationalizes this fact. Banks act as delegated monitors and invest in risky projects and in risky sovereign bonds. As investors hear rumors of increased sovereign risk, they run the bank (via global games). Banks could rollover liquidity in repo market using government bonds as collateral, but as sovereign risk raises collateral values shrink. Overall banks’ liquidity falls (its cost increases) and so does banks’ credit. In this context noisy news (announcements with signal extraction) of consolidation policies are recessionary in the short run, as they contribute to investors and banks pessimism, and mildly expansionary in the medium run. The banks liquidity channel plays a major role in the fiscal transmission.
This paper uses recent legislation in Austria to establish a link between sovereign reputation and yield spreads. In 2009, Hypo Alpe Adria International, a bank previously co-owned by the regional government of Carinthia, had been nationalized by Austria’s central government in order to avoid a default triggering multi-billion Euro local government guarantees. In 2015, special legislation retroactively introduced collective action clauses allowing a haircut on both the bonds and the guarantees while avoiding formal default. We document that legislative and administrative action designed to partly abrogate the guarantees resulted in a loss of reputation, leading to higher yield spreads for sovereign debt. Our analysis of covered bonds uncovers an increase in yield spreads on the secondary market and a deterioration of primary market conditions.
Studies employing micro price data to examine the extent of international goods market integration tend to find that borders induce arbitrage-impeding transaction costs which contribute to segment national markets. Analyzing household scanner price data from the three euro area countries Belgium, Germany and Netherlands, we document that Belgian households living in the vicinity of the border to Netherlands pay almost 10% more for the same good as their Dutch counterparts. German consumers on the other hand face prices that are on average up to around 3% smaller than those in the neighboring Netherlands. Counterfactual evidence for within-country price discontinuities provides no evidence of any existing border effects. The induced costs of crossing national borders amount to at least 13%. We also find evidence on border discontinuities in various household preference characteristics (such as demand elasticities and goods valuation) and household shopping patterns such as shopping frequencies.
Studies employing micro price data suggest that price dispersion is larger between regions in different countries than between regions in the same country. To investigate the strength of this border effect, deviations from the law of one price are used in most studies to provide statistical evidence on the effect of borders on price dispersion. I propose an alternative measure of the economic costs of borders which has an explicit welfare-theoretic foundation. Employing a unique micro price data set from households in Belgium, Germany and the Netherlands I provide evidence on the economic importance of price differences for households. I find that price dispersion within countries has only small economic importance, but that price dispersion between Belgium and Germany (and Belgium and the Netherlands) has considerable economic importance.
Microeconometric evidence on demand-side real rigidity and
implications for monetary non-neutrality
(2016)
To model the observed slow response of aggregate real variables to nominal shocks, most macroeconomic models incorporate real rigidities in addition to nominal rigidities. One popular way of modelling such a real rigidity is to assume a non-constant demand elasticity. By using a homescan data set for three European countries, including prices and quantities bought for a large number of goods, in addition to consumer characteristics, we provide estimates of price elasticities of demand and on the degree of demand-side real rigidities. We find that price elasticites of demand are about 4 in the median. Furthermore, we find evidence for demand-side real rigidities. These are, however, much smaller than what is often assumed in macroeconomic models. The median estimate for demand-side real rigidity, the super-elasticity, is in a range between 1 and 2. To quantitatively assess the implications of our empirical estimates, we calibrate a menu-cost model with the estimated super-elasticity. We find that the degree of monetary non-neutrality doubles in the model including demand-side real rigidity, compared to the model with only nominal rigidity, suggesting a multiplier effect of around two. However, the model can explain only up to 6% of the monetary non-neutrality observed in the data, implying that additional multipliers are necessary to match the behavior of aggregate variables.