SAFE working paper
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- Sustainable Architecture for Finance in Europe (SAFE) (36) (remove)
192 n
This paper shows that judicial enforcement has substantial effects on firms’ decisions with regard to their employment policies. To establish causality, I exploit a reorganization of the court districts in Italy involving judicial district mergers as a shock to court productivity. I find that an improvement in enforcement, as measured by a reduction in average trial length, has a large, positive effect on firm employment. These effects are stronger in firms with high leverage, or that belong to industries more dependent on external finance and characterized by higher complementarity between labor and capital, consistent with a financing channel driving the results. Moreover, in presence of stronger enforcement, firms can raise more debt to dampen the impact of negative shocks and, in this way, reduce employment fluctuations.
260 n
This paper contributes to the debate on the adequate regulatory treatment of non-bank financial intermediation (NBFI). It proposes an avenue for regulators to keep regulatory arbitrage under control and preserve sufficient space for efficient financial innovation at the same time. We argue for a normative approach to supervision that can overcome the proverbial race between hare and hedgehog in financial regulation and demonstrate how such an approach can be implemented in practice. We first show that regulators should primarily analyse the allocation of tail risk inherent in NBFI. Our paper proposes to apply regulatory burdens equivalent to prudential banking regulation if the respective transactional structures become only viable through indirect or direct access to (ad hoc) public backstops. Second, we use insights from the scholarship on regulatory networks as communities of interpretation to demonstrate how regulators can retrieve the information on transactional innovations and their risk-allocating characteristics that they need to make the pivotal determination. We suggest in particular how supervisors should structure their relationships with semi-public gatekeepers such as lawyers, auditors and consultants to keep abreast of the risk-allocating features of evolving transactional structures. Finally, this paper uses the example of credit funds as non-bank entities economically engaged in credit intermediation to illustrate the merits of the proposed normative framework and to highlight that multipolar regulatory dialogues are needed to shed light on the specific risk-allocating characteristics of recent contractual innovations.
265
We introduce Implied Volatility Duration (IVD) as a new measure for the timing of uncertainty resolution, with a high IVD corresponding to late resolution. Portfolio sorts on a large cross-section of stocks indicate that investors demand on average about seven percent return per year as a compensation for a late resolution of uncertainty. In a general equilibrium model, we show that `late' stocks can only have higher expected returns than `early' stocks if the investor exhibits a preference for early resolution of uncertainty. Our empirical analysis thus provides a purely market-based assessment of the timing preferences of the marginal investor.
266
This paper provides an overview of how to use "big data" for economic research. We investigate the performance and ease of use of different Spark applications running on a distributed file system to enable the handling and analysis of data sets which were previously not usable due to their size. More specifically, we explain how to use Spark to (i) explore big data sets which exceed retail grade computers memory size and (ii) run typical econometric tasks including microeconometric, panel data and time series regression models which are prohibitively expensive to evaluate on stand-alone machines. By bridging the gap between the abstract concept of Spark and ready-to-use examples which can easily be altered to suite the researchers need, we provide economists and social scientists more generally with the theory and practice to handle the ever growing datasets available. The ease of reproducing the examples in this paper makes this guide a useful reference for researchers with a limited background in data handling and distributed computing.
267
We study whether and how time preferences change over the life cycle, exploiting representative long-term panel data. We estimate the age patterns of discount rates from age 25 to 80. In order to identify age effects, we have to disentangle them from cohort and period factors. We address this identification problem by estimating individual fixed effects models, where we substitute period effects with determinants of time preferences that depend on calendar years. We find that discount rates decrease with age and the decline is remarkably linear over the life cycle.
268
Using an original dataset on professional networks of directors sitting on the boards of large US corporations, we examine how personal relationships are used by firms to improve job match quality in the high-skill segment of the labor market. Analyzing explicit social connection data between new hires and recruiters, we are able to test predictions of well established job referral models. We find that referred executive directors have a fifteen percent longer tenure than their non-referred counterparts. Referred executive directors also tend to be similar to their referrers on multiple dimensions, giving support to network homophily hypotheses.
269
This paper presents causal evidence of the effects of boardroom networks on firm value. We exploit exogenous variation in network centrality arising from a ban on interlocking directorates of Italian financial and insurance companies. We leverage this shock to show that firms that become more central in the network as a result of the shock experience positive abnormal returns around the announcement date. We find that information dissemination plays a central role: results are driven by firms that have higher idiosyncratic volatility, low analyst coverage, and more uncertainty surrounding their earnings forecasts. We also find that firms benefit more from boardroom centrality when they are more central in the input-output network, as this reinforces information complementarities, or when they are less central in the cross-ownership network, as well as when they suffer from low profitability and low growth opportunities. Network centrality also results in higher compensation for board directors.
270
We show that High Frequency Traders (HFTs) are not beneficial to the stock market during flash crashes. They actually consume liquidity when it is most needed, even when they are rewarded by the exchange to provide immediacy. The behavior of HFTs exacerbate the transient price impact, unrelated to fundamentals, typically observed during a flash crash. Slow traders provide liquidity instead of HFTs, taking advantage of the discounted price. We thus uncover a trade-o↵ between the greater liquidity and efficiency provided by HFTs in normal times, and the disruptive consequences of their trading activity during distressed times.
271
This paper studies the impact of financial sector size and leverage on business cycles and risk-free rates dynamics. We model a general equilibrium productive economy where financial intermediaries provide costly risk mitigation to households by pooling the idiosyncratic risks of their investment activities. We find that leverage amplifies variations of intermediaries’ relative size, but may also mitigate the business cycle. Moreover, it makes risk-free rates pro-cyclical. Households benefit the most when the financial sector is neither too small, thus avoiding high consumption fluctuations and costly mitigation, nor too big, so that fewer resources are lost after intermediation costs.
272
We use data from a German online brokerage and a survey to show that retail investors sharply reduce risk-taking in response to nearby firm bankruptcies, which are not pre- dictive of returns. The effects on trading are spatially highly concentrated, immediate and not persistent. They seem to operate through more pessimistic expected returns and increased risk aversion and do not reflect wealth effects or changes in background risks. Investors learn about bankruptcies through immediate coverage in local newspapers. Our findings suggest that non-informative local experiences that make downside risks of stock investment more salient contribute to idiosyncratic short-term fluctuations in trading.