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We study the incidence and severity of lower-bound episodes and the efficacy of three types of state-dependent policies—forward guidance about the future path of interest rates, large-scale asset purchases and spending-based fiscal stimulus—in ameliorating the adverse consequences stemming from the effective lower bound on nominal interest rates. In particular, we focus on the euro area economy and examine, using the ECB’s New Area- Wide Model, the consequences of the lower bound both for the near-term economic outlook, characterised by persistently low nominal interest rates and inflation, and in a lasting low-real-interest-rate world. Our findings suggest that, if unaddressed, the lower bound can have very substantial costs in terms of worsened macroeconomic performance. Forward guidance, if fully credible, is most powerful and can largely undo the distortionary effects due to the lower bound. A combination of imperfectly credible forward guidance, asset purchases and fiscal stimulus is almost equally effective, in particular when asset purchases enhance the credibility of the forward guidance policy via a signalling effect.
Differential games of common resources that are governed by linear accumulation constraints have several applications. Examples include political rent-seeking groups expropriating public infrastructure, oligopolies expropriating common resources, industries using specific common infrastructure or equipment, capital-flight problems, pollution, etc. Most of the theoretical literature employs specific parametric examples of utility functions. For symmetric differential games with linear constraints and a general time-separable utility function depending only on the player’s control variable, we provide an exact formula for interior symmetric Markovian-strategies. This exact solution, (a) serves as a guide for obtaining some new closed-form solutions and for characterizing multiple equilibria, and (b) implies that, if the utility function is an analytic function, then the Markovian strategies are analytic functions, too. This analyticity property facilitates the numerical computation of interior solutions of such games using polynomial projection methods and gives potential to computing modified game versions with corner solutions by employing a homotopy approach.
This paper focuses on the life and work of three of the most important men who arrived in the Philippines during the 16th century: the Augustinian Martín de Rada (1533–1578) studied at the universities of Paris and Salamanca. He was one of the best European scientists of his time in East Asia. The Dominican Domingo de Salazar (1512–1594), first bishop of Manila, studied the legitimacy of the conquest of the Philippines and wrote against the Spanish plan to conquest China. The Dominican Juan Cobo (? –1592) was the first Spanish to master the Chinese language and, through his book Shilu, the first European who introduced Christianity to the Chinese from a rational point of view and the first one to introduce European science into Chinese context. All of them were very influenced by the School of Salamanca and, from Manila, they always had their eyes on China. These three men of the late 16th century are paradigmatic examples of the influence of the University of Salamanca in the production of global knowledge in the early modernity.
Differences in euro-area household finances and their relevance for monetary-policy transmission
(2019)
This paper quantifies the extent of heterogeneity in consumption responses to changes in real interest rates and house prices in the four largest economies in the euro area: France, Germany, Italy, and Spain. We first calibrate a life-cycle incomplete-markets model with a financial asset and housing to match the large heterogeneity of households asset portfolios, observed in the Household Finance and Consumption Survey (HFCS) for these countries. We then show that the heterogeneity in household finances implies that responses of consumption to changes in the real interest rate and in house prices differ substantially across countries, and within countries by household characteristics such as age, housing tenure, and asset positions. The different consumption responses quantified in this paper point towards important heterogeneity in monetary-policy transmission in the euro area.
Is it true that speed bumps level the playing field, make financial markets more stable and reduce negative externalities of high-frequency trading (HFT) firms? We examine how the implementation of a particular speed bump – Midpoint Extended Life order (M-ELO) on Nasdaq impacted financial markets stability in terms of occurrences of mini-flash crashes in individual securities. We use high-frequency order book message data around the implementation date and apply difference-in-differences analysis to estimate the average treatment effect of the speed bump on market stability and liquidity provision. The results suggest that the introduction of the M-ELO decreases the average number of crashes on Nasdaq compared to other exchanges by 4.7%. Liquidity provision by HFT firms also improves. These findings imply that technology-based solutions by exchanges are feasible alternatives to regulatory intervention towards safer markets.
We study the accuracy and usefulness of automated (i.e., machine-generated) valuations for illiquid and heterogeneous real assets. We assemble a database of 1.1 million paintings auctioned between 2008 and 2015. We use a popular machine-learning technique—neural networks—to develop a pricing algorithm based on both non-visual and visual artwork characteristics. Our out-of-sample valuations predict auction prices dramatically better than valuations based on a standard hedonic pricing model. Moreover, they help explaining price levels and sale probabilities even after conditioning on auctioneers’ pre-sale estimates. Machine learning is particularly helpful for assets that are associated with high price uncertainty. It can also correct human experts’ systematic biases in expectations formation—and identify ex ante situations in which such biases are likely to arise.
In this study, we investigate the wealth decumulation decision from the perspective of a retiree who is averse to the prospect of fully annuitizing her accumulated savings. We field a large online survey of hypothetical product choices for phased drawdown offerings and annuities. While the demand for annuities remains low in our sample, we find significant demand for phased withdrawal products with equity-based asset allocations and flexible payout structures. Consistent with the product choice, the most important self-reported considerations for the wealth decumulation decision are low default risk in the products they purchase, the size of the withdrawal rates, and flexibility in the timing of their withdrawal. As determinants of the decision of how much wealth individuals are willing to draw down, we identify consumers’ attitudes towards future economic conditions, the extent to which they are protected against longevity risk, and their desire to leave bequests. Policy implications are discussed.
Libra – a global virtual currency project initiated by Facebook – has been the subject of many controversial discussions since its announcement in June 2019. This paper provides a differentiated view on Libra, recognising that different development scenarios of Libra are conceivable.
Libra could serve purely as an alternative payment system in combination with a dedicated payment token, the Libra coin. Alternatively, the Libra project could develop into a broader financial infrastructure for advanced financial services such as savings and loan products operating on the Libra blockchain. Based on a comparison of the Libra architecture with other cryptocurrencies, the opportunities and challenges for the development of the respective Libra ecosystems are investigated form a commercial, regulatory and monetary policy perspective.
Local crowding out in China
(2019)
In China, between 2006 and 2013, local public debt crowded out the investment of private firms by tightening their funding constraints, while leaving state-owned firms’ investment unaffected. We establish this result using a purpose-built dataset for Chinese local public debt. Private firms invest less in cities with more public debt, the reduction in investment being larger for firms located farther from banks in other cities or more dependent on external funding. Moreover, in cities where public debt is high, private firms’ investment is more sensitive to internal cash flow, also when cash-flow sensitivity is estimated jointly with the probability of being credit-constrained.
We analyze debt and debt management of Americans nearing retirement age. We show that older people have numerous financial obligations that can lead to financial distress. Using data from the 2015 National Financial Capability Study and an extensive literature review, we show that lack of financial literacy, lack of information, and behavioral biases help explain the prevalence of debt later in life. Our evidence indicates that debt at older ages can negatively influence retirement well-being.
Over the life-cycle, wealth holdings tend to be highest in the early part of retirement. The quality of financial decisions among older adults is therefore an important determinant of their financial security during the asset drawdown phase. This paper assesses how financial literacy shapes financial decision-making at older ages. We devised a special module in the Singapore Life Panel survey to measure financial literacy to study its relationship with three aspects of household financial and investment behaviors: credit card debt repayment, stock market participation, and adherence to age-based investment glide paths. We found that the majority of respondents age 50+ has some grasp of concepts such as interest compounding and inflation, but fewer know about risk diversification. We provide evidence of a statistically significant positive association between financial literacy and each of the three aspects of suboptimal financial decision-making, controlling for many other factors, including education. A one-unit increase in the financial literacy score was associated with an 8.3 percentage point greater propensity to hold stocks, and a 1.7 percentage point higher likelihood of following an age-appropriate investment glide path. The financial literacy score is only weakly positively linked with timely credit card balance repayment, both in terms of statistical significance and estimate size.
Many Americans claim Social Security benefits early, though this leaves them with lower benefits throughout retirement. We build a lifecycle model that closely tracks claiming patterns under current rules, and we use it to predict claiming delays if, by delaying benefits, people received a lump sum instead of an annuity. We predict that current early claimers would defer claiming by a year given actuarially fair lump sums, and the predictions conform with respondents’ answers to a strategic survey about the lump sum. In other words, such a reform could provide an avenue for encouraging delayed retirement without benefit cuts or tax increases. Moreover, many people would still defer claiming even for smaller lump sums.
We show that firm liability structure and associated cash flow matter for firm behavior, and that financial market participants price stocks accordingly. Looking at firm level stock price changes around monetary policy announcements, we find that firms that have more cash flow exposure see their stock prices affected more. The stock price reaction depends on the maturity and type of debt issued by the firm, and the forward guidance provided by the Fed. This effect has remained intact during the ZLB period. Importantly, we show that the effect is not a rule of thumb behavior outcome and that the marginal stock market participant actually studies and reacts to the liability structure of firm balance sheets. The cash flow exposure at the time of monetary policy actions predicts future net worth, investment, and assets, verifying the stock pricing decision and also providing evidence of cash flow effects on firms' real behavior. The results hold for S&P500 firms that are usually thought of not being subject to tight financial constraints.
A common prediction of macroeconomic models of credit market frictions is that the tightness of financial constraints is countercyclical. As a result, theory implies a negative collateralizability premium; that is, capital that can be used as collateral to relax financial constraints provides insurance against aggregate shocks and commands a lower risk compensation compared with non-collateralizable assets. We show that a longshort portfolio constructed using a novel measure of asset collateralizability generates an average excess return of around 8% per year. We develop a general equilibrium model with heterogeneous firms and financial constraints to quantitatively account for the collateralizability premium.
Implications of money-back guarantees for individual retirement accounts: protection then and now
(2019)
In the wake of the financial crisis and continued volatility in international capital markets, there is growing interest in mechanisms that can protect people against retirement account volatility. This paper explores the consequences for savers’ wellbeing of implementing market-based retirement account guarantees, using a life cycle consumption and portfolio choice model where investors have access to stocks, bonds, and tax-qualified retirement accounts. We evaluate the case of German Riester plans adopted in 2002, an individual retirement account produce that includes embedded mandatory money-back guarantees. These guarantees influenced participant consumption, saving, and investment behavior in the higher interest rate environment of that era, and they have even larger impacts in a low-return world such as the present. Importantly, we conclude that abandoning these guarantees could enhance old-age consumption for over 80% of retirees, particularly lower earners, without harming consumption during the accumulation phase. Our results are of general interest for other countries implementing default investment options in individual retirement accounts, such as the U.S. 401(k) defined contribution plans and the Pan European Pension Product (PEPP) recently launched by the European Parliament.
We investigate the default probability, recovery rates and loss distribution of a portfolio of securitised loans granted to Italian small and medium enterprises (SMEs). To this end, we use loan level data information provided by the European DataWarehouse platform and employ a logistic regression to estimate the company default probability. We include loan-level default probabilities and recovery rates to estimate the loss distribution of the underlying assets. We find that bank securitised loans are less risky, compared to the average bank lending to small and medium enterprises.
In this paper, we investigate the relation between buildings' energy efficiency and the probability of mortgage default. To this end, we construct a novel panel dataset by combining Dutch loan-level mortgage information with provisional building energy ratings that are calculated by the Netherlands Enterprise Agency. By employing the Logistic regression and the extended Cox model, we find that buildings' energy efficiency is associated with lower likelihood of mortgage default. The results hold for a battery of robustness checks. Additional findings indicate that credit risk varies with the degree of energy efficiency.
The use of contractual engineering to create channels of credit intermediation outside of the realm of banking regulation has been a recurring activity in Western financial systems over the last 50 years. After the financial crisis of 2007 and 2008, this phenomenon, at that time commonly referred to as ‘shadow banking’, evoked a large-scale regulatory backlash, including several specific regulatory constraints being placed on non-bank financial institutions (NBFI). This paper proposes a different avenue for regulators to keep regulatory arbitrage under control and preserve sufficient space for efficient financial innovation. Rather than engaging in the proverbial race between hare and hedgehog that is emerging with increasingly specific regulation of particular contractual arrangements, this paper argues for a normative approach to supervision. We outline this approach in detail by showing that regulators should primarily analyse the allocation of tail risk inherent in the respective contractual arrangements. Our paper proposes to assign regulatory burdens equivalent to prudential banking regulation, in case these arrangements become only viable through indirect or direct access to an (ad hoc) public backstop. In order to make the pivotal assessment, regulators will need information about recent contractual innovations and their risk-allocating characteristics. According to the scholarship on regulatory networks serving as communities of interpretation, we suggest in particular how regulators should structure their relationships with semi-public gatekeepers such as lawyers, auditors and consultants to keep abreast of the real-world implications of evolving transactional structures. This paper then uses the rise of credit funds as a non-bank entities economically engaged in credit intermediation to apply this normative framework, pointing to recent contractual innovations that call for more regulatory scrutiny in a multipolar regulatory dialogue.
Our recently developed LRSX Tool implements a technique to automatically prove the correctness of program transformations in higher-order program calculi which may permit recursive let-bindings as they occur in functional programming languages. A program transformation is correct if it preserves the observational semantics of programs- In our tool the so-called diagram method is automated by combining unification, matching, and reasoning on alpha-renamings on the higher-order metalanguage, and automating induction proofs via an encoding into termination problems of term rewrite systems. We explain the techniques, we illustrate the usage of the tool, and we report on experiments.
The focus of this paper are space-improvements of programs, which are transformations that do not worsen the space requirement during evaluations. A realistic theoretical treatment must take garbage collection method into account. We investigate space improvements under the assumption of an optimal garbage collector. Such a garbage collector is not implementable, but there is an advantage: The investigations are independent of potential changes in an implementable garbage collector and our results show that the evaluation and other similar transformations are space-improvements.