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A number of recent studies regress a "narratively" identified measure of a macroeconomic shock directly on an outcome variable. In this note, we argue that this approach can be viewed as the reduced-form regression of an instrumental variable approach in which the narrative time series is used as an instrument for an endogenous series of interest. This motivates evaluating the validity of narrative measures through the lens of a randomized experiment. We apply our framework to four recently constructed narrative measures of tax shocks by Romer and Romer (2010), Cloyne (2013), and Mertens and Ravn (2012). All of them turn out to be weak instruments for observable measures of taxes. After correcting for weak instruments, we find that using any of the considered narrative tax measures as an instrument for cyclically adjusted tax revenues yields tax multiplier estimates that are indistinguishable from zero. We conclude that the literature currently understates the uncertainty associated with quantifying the tax multiplier.
In the aftermath of the global financial crisis, both resolution planning, i.e. contingency planning by both regulated institutions and public authorities in order to prepare their actions in financial crisis, and concepts for structural bank reform have been identified as possible solutions to ending “Too Big To Fail” and foster market discipline among bank owners, bank managers and investors in bank debt. Both concepts thus complement the global quest for reliable procedures and tools for bank resolution that would minimise systemic implications once large and complex financial institutions have reached the stage of insolvency. Given the complex task of orchestrating swift and effective resolution actions, especially with regard to cross-border banking groups and financial conglomerates, planning ahead in good times has since been widely recognised as crucial for enhancing resolvability. At least part of the impediments to resolution will be found in organisational, financial and legal complexity that has evolved in banks and groups over time. To remove these impediments, interference with existing corporate and group structures is all but inevitable. However, in both international standard setting and at the European Union level, issues related to resolution planning (within the context of bank resolution reform) and structural banking reforms to date have been discussed rather separately. This lack of consistency is questionable, given the obvious need to reconcile both approaches in order to facilitate effective implementation and enforcement especially with regard to large, complex banking groups. Based on an analysis both of the Bank Recovery and Resolution Directive and the SRM Regulation, this paper explores how these problems could be dealt with within the context of the European Banking Union.
This paper looks into the specific influence that the European banking union will have on (future) bank client relationships. It shows that the intended regulatory influence on market conditions in principle serves as a powerful governance tool to achieve financial stability objectives.
From this vantage, it analyzes macro-prudential instruments with a particular view to mortgage lending markets – the latter have been critical in the emergence of many modern financial crises. In gauging the impact of the new European supervisory framework, it finds that the ECB will lack influence on key macro-prudential tools to push through more rigid supervisory policies vis-à-vis forbearing national authorities.
Furthermore, this paper points out that the current design of the European bail-in tool supplies resolution authorities with undue discretion. This feature which also afflicts the SRM imperils the key policy objective to re-instill market discipline on banks’ debt financing operations. The latter is also called into question because the nested regulatory technique that aims at preventing bail-outs unintendedly opens additional maneuvering space for political decision makers.
This paper looks into the specific influence that the European banking union will have on (future) bank client relationships. It shows that the intended regulatory influence on market conditions in principle serves as a powerful governance tool to achieve financial stability objectives.
From this vantage, it analyzes macro-prudential instruments with a particular view to mortgage lending markets – the latter have been critical in the emergence of many modern financial crises. In gauging the impact of the new European supervisory framework, it finds that the ECB will lack influence on key macro-prudential tools to push through more rigid supervisory policies vis-à-vis forbearing national authorities.
Furthermore, this paper points out that the current design of the European bail-in tool supplies resolution authorities with undue discretion. This feature which also afflicts the SRM imperils the key policy objective to re-instill market discipline on banks’ debt financing operations. The latter is also called into question because the nested regulatory technique that aims at preventing bail-outs unintendedly opens additional maneuvering space for political decision makers.
Our paper evaluates recent regulatory proposals mandating the deferral of bonus payments and claw-back clauses in the financial sector. We study a broadly applicable principal agent setting, in which the agent exerts effort for an immediately observable task (acquisition) and a task for which information is only gradually available over time (diligence). Optimal compensation contracts trade off the cost and benefit of delay resulting from agent impatience and the informational gain. Mandatory deferral may increase or decrease equilibrium diligence depending on the importance of the acquisition task. We provide concrete conditions on economic primitives that make mandatory deferral socially (un)desirable.
Do markets correct individual behavioral biases? In an experimental asset market, we compare the outcomes of a standard market economy to those of a an island economy that removed market interactions. We observe asset price bubbles in the market economy while prices are stable in the island economy. We also find that subjects took more risk following larger losses, resulting in larger prices and consistent with a gambling for resurrection motive. This motive can translate into bubbles in the market economy because higher prices increase average losses and thus reinforce the desire to resurrect. By contrast, the absence of such a strategic complementarity in island economies can explain the more stable outcome. These results suggest that markets do not correct behavioral biases, rather the contrary.
We develop a dynamic recursive model where political and economic decisions interact, to study how excessive debt-GDP ratios affect political sustainability of prudent fiscal policies. Rent seeking groups make political decisions – to cooperate (or not) – on the allocation of fiscal budgets (including rents) and issuance of sovereign debt. A classic commons problem triggers collective fiscal impatience and excessive debt issuing, leading to a vicious circle of high borrowing costs and sovereign default. We analytically characterize debt-GDP thresholds that foster cooperation among rent seeking groups and avoid default. Our analysis and application helps in understanding the politico-economic sustainability of sovereign rescues, emphasizing the need for fiscal targets and possible debt haircuts. We provide a calibrated example that quantifies the threshold debt-GDP ratio at 137%, remarkably close to the target set for private sector involvement in the case of Greece.
This paper studies a dynamic stochastic general equilibrium model involving climate change. Our model allows for damages on economic growth resulting from global warming. In the calibration, we capture effects from climate change and feedback effects on the temperature dynamics. We solve for the optimal state-dependent abatement policy. In our simulations, the costs of this policy measured in terms of lost GDP growth are moderate. On the other hand, postponing abatement action could reduce the probability that the climate can be stabilized. For instance, waiting for 10 years reduces this probability from 60% to 30%. Waiting for another 10 years leads to a probability that is less than 10%. Finally, doing nothing opens the risk that temperatures might explode and economic growth decreases significantly.
I assess how Basel III, Solvency II and the low interest rate environment will affect the financial connection between the bank and insurance sector by changing the funding patterns of banks as well as the investment strategies of life insurance companies. Especially for life insurance companies, the current low interest rate environment poses a key risk since declining returns on investments jeopardize the guaranteed return on life insurance contracts, a core component of traditional life insurance contracts in several European countries. I consider a contingent claim framework with a direct financial connection between banks and life insurers via bank bonds. The results indicate that life insurers' demand for bank bonds increases over the mid-term but ultimately declines in the long-run. Since life insurers are the largest purchasers of bank bonds in Europe, banks could lose one of their main funding sources. In addition, I show that shareholder value driven life insurers' appetite for risk increases when the gap between asset return and liability growth diminishes. To check the robustness of the findings, I calibrate a prolonged low interest rate scenario. The results show that the insurer's risk appetite is even higher when interest rates remain persistently low. A sensitivity analysis regarding industry-specific regulatory safety levels reveals that contagion between bank and life insurer is driven by the insurers' demand for bank bonds which itself depends on the regulatory safety level of banks.
n this paper we compute the optimal tax and education policy transition in an economy where progressive taxes provide social insurance against idiosyncratic wage risk, but distort the education decision of households. Optimally chosen tertiary education subsidies mitigate these distortions. We highlight the importance of two different channels through which academic talent is transmitted across generations (persistence of innate ability vs. the impact of parental education) for the optimal design of these policies and model different forms of labor as imperfect substitutes, thereby generating general equilibrium feedback effects from policies to relative wages of skilled and unskilled workers. We show that subsidizing higher education has important redistributive benefits, by shrinking the college wage premium in general equilibrium. We also argue that a full characterization of the transition path is crucial for policy evaluation. We find that optimal education policies are always characterized by generous tuition subsidies, but the optimal degree of income tax progressivity depends crucially on whether transitional costs of policies are explicitly taken into account and how strongly the college premium responds to policy changes in general equilibrium.
Although banks are at the center of systemic risk, there are other institutions that contribute to it. With the publication of the leveraged lending guideline in March 2013, the U.S. regulators show that they are especially worried about the private equity firms with their high-risk deals. Given these risks and the interconnectedness of the banks through the LBO loan syndicates, I shed light on the impact of a bank’s LBO loan exposure on its systemic risk. By using 3,538 observations between 2000 and 2013 from 165 global banks, I show that banks with higher LBO exposure also have a higher level of systemic risk. Other loan purposes do not show this positive relationship. The main drivers influencing this relationship positively are the bank’s interconnectedness to other LBO financing banks and its size. Lending experience with a specific PE sponsor, experience with leading LBO syndicates or a bank’s credit rating, however, lead to a lower impact of the LBO loan exposure on systemic risk.
This paper undertakes a quantitative investigation of the effects of anticipated inflation on the distribution of household wealth and welfare. Consumer Finance Data on household financial wealth suggests that about a third of the US population holds all its financial assets in transaction accounts. The remaining two-third of the US population holds most of their financial assets outside transaction accounts. To account for this evidence, I introduce a portfolio choice in a standard incomplete markets model with heterogeneous agents. I calibrate the model economy to SCF 2010 US data and use this environment to study the distributive effects of changes in anticipated inflation. An increase in anticipated inflation leads households to reshuffle their portfolio towards real assets. This crowding-in of supply for real assets lowers equilibrium interest rates and thereby redistributes wealth from creditors to borrowers. Because borrowers have a higher marginal utility, this redistribution improves aggregate welfare. First, this paper shows that inflation acts not only a regressive consumption tax as in Erosa and Ventura (2002), but also as a progressive tax. Second, this paper shows that the welfare cost of inflation are even lower than the estimates computed by Lucas (2000) and Ireland (2009). Finally, this paper offers insights into why deflationary environments should be avoided.
There is a growing debate about complementing the European Monetary Union by a more comprehensive fiscal union. Against this background, this paper emphasizes that there is a trade-off in designing a system of fiscal transfers ("fiscal capacity") in a union between members of different size. A system cannot guarantee symmetric treatment of members and simultaneously ensure a balanced budget. We compute hypothetical transfers for the Eurozone members from 2001 to 2012 to illustrate this trade-off. Interestingly, a symmetric system that treats shocks in small and large countries symmetrically would have produced large budgetary surpluses in 2009, the worst year of the financial crisis.
Since August 2009, German legislation allows for voluntary Say on Pay Votes (SoPV) during Annual General Meetings (AGMs). We examine 1,169 AGMs of all German listed firms with more than 10,000 agenda items over the period 2010-2013 to identify (1) determinants and approval rates of voluntary SoPVs, (2) the effect of voluntary SoPVs on AGM participation, and (3) the effect of SoP on executive compensation. Our data reveals that in the first four years of the voluntary say on pay regime every second firm in our sample has opted for having a SoPV. The propensity for a SoPV increases with firm size, abnormal executive compensation and free float of shares. Indeed, smaller firms with concentrated ownership do not only have a lower propensity for a SoPV, but also show a higher propensity to opt for only limited disclosure of executive compensation. Approval rates of SoPVs are lower than the approval rate for the average AGM agenda item and this effect is stronger in (i) widely held firms as well as in (ii) firms with abnormal executive compensation. Additionally, SoPVs actually can increase AGM participation; however, this result is particularly evident for widely held firms. Finally, we find stronger pay for performance elements within total executive compensation, particularly when the effect of executive compensation is lagged over the years following the vote. Overall, our results are consistent with the view that firms use voluntary SoPV to gain legitimation for executive remuneration policies in firms with low ownership concentration. This is enforced, where (small) shareholders consider executive compensation a part of the agency problem of listed firms, and where (small) shareholders consider SoPVs as a possibility to actively influence corporate decisions, with these decisions leading to a higher degree of alignment between executive management boards and shareholders.
We propose a multivariate dynamic intensity peaks-over-threshold model to capture extreme events in a multivariate time series of returns. The random occurrence of extreme events exceeding a threshold is modeled by means of a multivariate dynamic intensity model allowing for feedback effects between the individual processes. We propose alternative specifications of the multivariate intensity process using autoregressive conditional intensity and Hawkes-type specifications. Likewise, temporal clustering of the size of exceedances is captured by an autoregressive multiplicative error model based on a generalized Pareto distribution. We allow for spillovers between both the intensity processes and the process of marks. The model is applied to jointly model extreme returns in the daily returns of three major stock indexes. We find strong empirical support for a temporal clustering of both the occurrence of extremes and the size of exceedances. Moreover, significant feedback effects between both types of processes are observed. Backtesting Value-at-Risk (VaR) and Expected Shortfall (ES) forecasts show that the proposed model does not only produce a good in-sample fit but also reliable out-of-sample predictions. We show that the inclusion of temporal clustering of the size of exceedances and feedback with the intensity thereof results in better forecasts of VaR and ES.
Research on interbank networks and systemic importance is starting to recognise that the web of exposures linking banks balance sheets is more complex than the single-layer-of-exposure paradigm. We use data on exposures between large European banks broken down by both maturity and instrument type to characterise the main features of the multiplex structure of the network of large European banks. This multiplex network presents positive correlated multiplexity and a high similarity between layers, stemming both from standard similarity analyses as well as a core-periphery analyses of the different layers. We propose measures of systemic importance that fit the case in which banks are connected through an arbitrary number of layers (be it by instrument, maturity or a combination of both). Such measures allow for a decomposition of the global systemic importance index for any bank into the contributions of each of the sub-networks, providing a useful tool for banking regulators and supervisors. We use the dataset of exposures between large European banks to illustrate the proposed measures.
In this paper we assemble an annual data set on broad and narrow money, prices, real economic activity and interest rates in Ireland from a variety of sources for the period 1933-2012. We discuss in detail how the data set is constructed and what assumptions we have made to do so. Furthermore, we estimate a simple SVAR model to provide some empirical evidence on the behaviour of these time series. Money supply shocks appear to be the most important drivers of both money and prices. Interest rate shocks, which capture monetary policy, play an important role driving output and, of course, interest rates. The GDP shocks, which raise prices, seem of less importance.
We present an accessible narrative of the Turkish economy since its great 2001 crisis. We broadly survey economic developments and pay particular attention to monetary policy. The data suggests that the Central Bank of Turkey was a strong inflation targeter early in this period but began to pay less attention to inflation after 2009. Loss of the strong nominal anchor is visible in the break we estimate in Taylor-type rules as well as in asset prices. We also argue that recent discrete jumps in Turkish asset prices, especially the exchange value of the lira, are due more to domestic factors. In the post-2009 period the Central Bank was able to stabilize expectations and asset prices when it chose to do so, but this was the exception rather than the rule.