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1
Debt-induced crises, including the subprime, are usually attributed exclusively to supply-side factors. We uncover an additional factor contributing to debt culture, namely social influences emanating from the perceived average income of peers. Using unique information from a representative household survey of the Dutch population that circumvents the need to define the social circle, we consider collateralized, consumer, and informal loans. We find robust social effects on borrowing – especially among those who consider themselves poorer than their peers – and on indebtedness, suggesting a link to financial distress. We check the robustness of our results using several approaches to rule out spurious associations and handle correlated effects.
34
We analyze the equilibrium in a two-tree (sector) economy with two regimes. The output of each tree is driven by a jump-diffusion process, and a downward jump in one sector of the economy can (but need not) trigger a shift to a regime where the likelihood of future jumps is generally higher. Furthermore, the true regime is unobservable, so that the representative Epstein-Zin investor has to extract the probability of being in a certain regime from the data. These two channels help us to match the stylized facts of countercyclical and excessive return volatilities and correlations between sectors. Moreover, the model reproduces the predictability of stock returns in the data without generating consumption growth predictability. The uncertainty about the state also reduces the slope of the term structure of equity. We document that heterogeneity between the two sectors with respect to shock propagation risk can lead to highly persistent aggregate price-dividend ratios. Finally, the possibility of jumps in one sector triggering higher overall jump probabilities boosts jump risk premia while uncertainty about the regime is the reason for sizeable diffusive risk premia.
2
A natural experiment in which customer-owned mutual companies converted to publicly listed firms created a plausibly exogenous shock to the stock market participation status of tens of thousands of people. We find the shock changed the way people vote in the affected areas, with a 10% increase in share-ownership rate being followed by a 1.3%–3.1% increase in right-of-center vote share. The institutional details and additional tests suggest that wealth, liquidity, and tax-related incentives cannot fully explain the results. A plausible explanation is that the associated increase in the salience of stock ownership causes a shift in voters’ attention.
27
This paper analyzes the evolving architecture for the prudential supervision of banks in the euro area. It is primarily concerned with the likely effectiveness of the SSM as a regime that intends to bolster financial stability in the steady state.
By using insights from the political economy of bureaucracy it finds that the SSM is overly focused on sharp tools to discipline captured national supervisors and thus under-incentives their top-level personnel to voluntarily contribute to rigid supervision. The success of the SSM in this regard will hinge on establishing a common supervisory culture that provides positive incentives for national supervisors. In this regard, the internal decision making structure of the ECB in supervisory matters provides some integrative elements. Yet, the complex procedures also impede swift decision making and do not solve the problem adequately. Ultimately, a careful design and animation of the ECB-defined supervisory framework and the development of inter-agency career opportunities will be critical.
The ECB will become a de facto standard setter that competes with the EBA. A likely standoff in the EBA’s Board of Supervisors will lead to a growing gap in regulatory integration between SSM-participants and other EU Member States.
Joining the SSM as a non-euro area Member State is unattractive because the cur-rent legal framework grants no voting rights in the ECB’s ultimate decision making body. It also does not supply a credible commitment opportunity for Member States who seek to bond to high quality supervision.
15
We show that the optimal consumption of an individual over the life cycle can have the hump shape (inverted U-shape) observed empirically if the preferences of the individual exhibit internal habit formation. In the absence of habit formation, an impatient individual would prefer a decreasing consumption path over life. However, because of habit formation, a high initial consumption would lead to high required consumption in the future. To cover the future required consumption, wealth is set aside, but the necessary amount decreases with age which allows consumption to increase in the early part of life. At some age, the impatience outweighs the habit concerns so that consumption starts to decrease. We derive the optimal consumption strategy in closed form, deduce sufficient conditions for the presence of a consumption hump, and characterize the age at which the hump occurs. Numerical examples illustrate our findings. We show that our model calibrates well to U.S. consumption data from the Consumer Expenditure Survey.
20
In this paper, we develop a state-dependent sensitivity value-at-risk (SDSVaR) approach that enables us to quantify the direction, size, and duration of risk spillovers among financial institutions as a function of the state of financial markets (tranquil, normal, and volatile). Within a system of quantile regressions for four sets of major financial institutions (commercial banks, investment banks, hedge funds, and insurance companies) we show that while small during normal times, equivalent shocks lead to considerable spillover effects in volatile market periods. Commercial banks and, especially, hedge funds appear to play a major role in the transmission of shocks to other financial institutions. Using daily data, we can trace out the spillover effects over time in a set of impulse response functions and find that they reach their peak after 10 to 15 days.
4
We test whether investor mood affects trading with data on all stock market transactions in Finland, utilizing variation in daylight and local weather. We find some evidence that environmental mood variables (local weather, length of day, daylight saving and lunar phase) affect investors’ direction of trade and volume. The effect magnitudes are roughly comparable to those of classical seasonals, such as the Monday effect. The statistical significance of the mood variables is weak in many cases, however. Only very little of the day-to-day variation in trading is collectively explained by all mood variables and calendar effects, but lower frequency variation seems connected to holiday seasons.