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A tale of one exchange and two order books : effects of fragmentation in the absence of competition
(2018)
Exchanges nowadays routinely operate multiple, almost identically structured limit order markets for the same security. We study the effects of such fragmentation on market performance using a dynamic model where agents trade strategically across two identically-organized limit order books. We show that fragmented markets, in equilibrium, offer higher welfare to intermediaries at the expense of investors with intrinsic trading motives, and lower liquidity than consolidated markets. Consistent with our theory, we document improvements in liquidity and lower profits for liquidity providers when Euronext, in 2009, consolidated its order ow for stocks traded across two country-specific and identically-organized order books into a single order book. Our results suggest that competition in market design, not fragmentation, drives previously documented improvements in market quality when new trading venues emerge; in the absence of such competition, market fragmentation is harmful.
This paper presents new evidence on the expectation formation process from a Dutch household survey. Households become too optimistic about their future income after their income has improved, consistent with the over-extrapolation of their experience. We show that this effect of experience is persistent and that households over-extrapolate income losses more than income gains. Furthermore, older households over-extrapolate more, suggesting that they did not learn over time to form more accurate expectations. Finally, we study the relationship between expectation errors and consumption. We find that more over-optimistic households intend to consume more and subsequently report higher consumption, even though they do not consume as much as they intended to. These results suggests that overextrapolation hurts consumers and amplify business cycles.
The propagation of regional shocks in housing markets: evidence from oil price shocks in Canada
(2018)
Shocks to the demand for housing that originate in one region may seem important only for that regional housing market. We provide evidence that such shocks can also affect housing markets in other regions. Our analysis focuses on the response of Canadian housing markets to oil price shocks. Oil price shocks constitute an important source of exogenous regional variation in income in Canada because oil production is highly geographically concentrated. We document that, at the national level, real oil price shocks account for 11% of the variability in real house price growth over time. At the regional level, we find that unexpected increases in the real price of oil raise housing demand and real house prices not only in oil-producing regions, but also in other regions. We develop a theoretical model of the propagation of real oil price shocks across regions that helps understand this finding. The model differentiates between oil-producing and non-oil-producing regions and incorporates multiple sectors, trade between provinces, government redistribution, and consumer spending on fuel. We empirically confirm the model prediction that oil price shocks are propagated to housing markets in non-oil-producing regions by the government redistribution of oil revenue and by increased interprovincial trade.
We analytically characterize optimal monetary policy for an augmented New Keynesian model with a housing sector. In a setting where the private sector has rational expectations about future housing prices and inflation, optimal monetary policy can be characterized without making reference to housing price developments: commitment to a 'target criterion' that refers to inflation and the output gap only is optimal, as in the standard model without a housing sector. When the policymaker is concerned with potential departures of private sector expectations from rational ones and seeks to choose a policy that is robust against such possible departures, then the optimal target criterion must also depend on housing prices. In the empirically realistic case where housing is subsidized and where monopoly power causes output to fall short of its optimal level, the robustly optimal target criterion requires the central bank to 'lean against' housing prices: following unexpected housing price increases, policy should adopt a stance that is projected to undershoot its normal targets for inflation and the output gap, and similarly aim to overshoot those targets in the case of unexpected declines in housing prices. The robustly optimal target criterion does not require that policy distinguish between 'fundamental' and 'non-fundamental' movements in housing prices.
We establish that the labor market helps discipline asset managers via the impact of fund liquidations on their careers. Using hand-collected data on 1,948 professionals, we find that top managers working for funds liquidated after persistently poor relative performance suffer demotion coupled with a significant loss in imputed compensation. Scarring effects are absent when liquidations are preceded by normal relative performance or involve mid-level employees. Seen through the lens of a model with moral hazard and adverse selection, these results can be ascribed to reputation loss rather than bad luck. The findings suggest that performance-induced liquidations supplement compensation-based incentives.
In talent-intensive jobs, workers’ quality is revealed by their performance. This enhances productivity and earnings, but also increases layoff risk. Firms cannot insure workers against this risk if they compete fiercely for talent. In this case, the more risk-averse workers will choose less quality-revealing jobs. This lowers expected productivity and salaries. Public unemployment insurance corrects this inefficiency, enhancing employment in talent-sensitive industries, consistently with international evidence. Unemployment insurance dominates legal restrictions on firms’ dismissals, which penalize more talent-sensitive firms and thus depress expected productivity. Finally, unemployment insurance fosters education, by encouraging investment in risky human capital that enhances talent discovery.
We assess the relationship between finance and growth over the period 1980-2014. We estimate a cross-country growth regression for 48 countries during 20 periods of 15 years starting in 1980 (to 1995) and ending in 1999 (to 2014). We use OLS and IV estimations and we find that: 1) overall financial development had a positive effect on economic growth during all periods of our sample, i.e., we confirm that from 1980 to 2014 financial services provided by the various financial systems were significant (to various degrees) for firm creation, industrial expansion and economic growth; but that, 2) the structure of financial markets was particularly relevant for economic growth until the financial crisis; while 3) the structure of the banking sector played a major role since; and finally that, 4) the legal system is the primary determinant of the effectiveness of the overall financial system in facilitating innovation and growth in (almost) all of our sample period. Hence, overall our results suggest that the relationship between finance and growth matters but also that it varies over time in strength and in sector origination.
JEL Classification: O16, G16, G20.
Motivated by the observation that survey expectations of stock returns are inconsistent with rational return expectations under real-world probabilities, we investigate whether alternative expectations hypotheses entertained in the asset pricing literature are consistent with the survey evidence. We empirically test (1) the notion that survey forecasts constitute rational but risk-neutral forecasts of future returns, and (2) the notion that survey fore- casts are ambiguity averse/robust forecasts of future returns. We find that these alternative hypotheses are also strongly rejected by the data, albeit for different reasons. Hypothesis (1) is rejected because survey return forecasts are not in line with risk-free interest rates and because survey expected excess returns are predictable. Hypothesis (2) is rejected because agents are not al- ways pessimistic about future returns, instead often display overly optimistic return expectations. We speculate as to what kind of expectations theories might be consistent with the available survey evidence.
This paper argues that the introduction of the Banking Recovery and Resolution Directive (BRRD) improved market discipline in the European bank market for unsecured debt. The different impact of the BRRD on bank bonds provides a quasi-natural experiment that allows to study the effect of the BRRD within banks using a difference-in-difference approach. Identification is based on the fact that (otherwise identical) bonds of a given bank maturing before 2016 are explicitly protected from BRRD bail-in. The empirical results are consistent with the hypothesis that debt holders actively monitor banks and that the BRRD diminished bail-out expectations. Bank bonds subject to BRRD bail-in carry a 10 basis points bail-in premium in terms of the yield spread. While there is some evidence that the bail-in premium is more pronounced for non-GSIB banks and banks domiciled in peripheral European countries, weak capitalization is the main driver.
The authors relax the standard assumption in the dynamic stochastic general equilibrium (DSGE) literature that exogenous processes are governed by AR(1) processes and estimate ARMA (p,q) orders and parameters of exogenous processes. Methodologically, they contribute to the Bayesian DSGE literature by using Reversible Jump Markov Chain Monte Carlo (RJMCMC) to sample from the unknown ARMA orders and their associated parameter spaces of varying dimensions.
In estimating the technology process in the neoclassical growth model using post war US GDP data, they cast considerable doubt on the standard AR(1) assumption in favor of higher order processes. They find that the posterior concentrates density on hump-shaped impulse responses for all endogenous variables, consistent with alternative empirical estimates and the rigidities behind many richer structural models. Sampling from noninvertible MA representations, a negative response of hours to a positive technology shock is contained within the posterior credible set. While the posterior contains significant uncertainty regarding the exact order, the results are insensitive to the choice of data filter; this contrasts with the authors’ ARMA estimates of GDP itself, which vary significantly depending on the choice of HP or first difference filter.