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The use of evidence and economic analysis in policymaking is on the rise, and accounting standard setting and financial regulation are no exception. This article discusses the promise of evidence-based policymaking in accounting and financial markets as well as the challenges and opportunities for research supporting this endeavor. In principle, using sound theory and robust empirical evidence should lead to better policies and regulations. But despite its obvious appeal and substantial promise, evidence-based policymaking is easier demanded than done. It faces many challenges related to the difficulty of providing relevant causal evidence, lack of data, the reliability of published research, and the transmission of research findings. Overcoming these challenges requires substantial infrastructure investments for generating and disseminating relevant research. To illustrate this point, I draw parallels to the rise of evidence-based medicine. The article provides several concrete suggestions for the research process and the aggregation of research findings if scientific evidence is to inform policymaking. I discuss how policymakers can foster and support policy-relevant research, chiefly by providing and generating data. The article also points to potential pitfalls when research becomes increasingly policy-oriented.
We examine whether the economy can be insured against banking crises with deposit and loan contracts contingent on macroeconomic shocks. We study banking competition and show that the private sector insures the banking system through such contracts, and banking crises are avoided, provided that failed banks are not bailed out. When risks are large, banks may shift part of them to depositors. In contrast, when banks are bailed out by the next generation, depositors receive non-contingent contracts with high interest rates, while entrepreneurs obtain loan contracts that demand high repayment in good times and low repayment in bad times. As a result, the present generation overinvests, and banks generate large macroeconomic risks for future generations, even if the underlying productivity risk is small or zero. We conclude that a joint policy package of orderly default procedures and contingent contracts is a promising way to reduce the threat of a fragile banking system.
Following the introduction of the one-child policy in China, the capital-labor (K/L) ratio of China increased relative to that of India, and, simultaneously, FDI inflows relative to GDP for China versus India declined. These observations are explained in the context of a simple neoclassical OLG paradigm. The adjustment mechanism works as follows: the reduction in the growth rate of the (urban) labor force due to the one-child policy permanently increases the capital per worker inherited from the previous generation. The resulting increase in China's (domestic K)/L thus "crowds out" the need for FDI in China relative to India. Our paper is a contribution to the nascent literature exploring demographic transitions and their effects on FDI flows.
Based on OECD evidence, equity/housing-price busts and credit crunches are followed by substantial increases in public consumption. These increases in unproductive public spending lead to increases in distortionary marginal taxes, a policy in sharp contrast with presumably optimal Keynesian fiscal stimulus after a crisis. Here we claim that this seemingly adverse policy selection is optimal under rational learning about the frequency of rare capital-value busts. Bayesian updating after a bust implies massive belief jumps toward pessimism, with investors and policymakers believing that busts will be arriving more frequently in the future. Lowering taxes would be as if trying to kick a sick horse in order to stand up and run, since pessimistic markets would be unwilling to invest enough under any temporarily generous tax regime.
We present empirical evidence on the heterogeneity in monetary policy transmission across countries with different home ownership rates. We use household-level data together with shocks to the policy rate identified from high-frequency data. We find that housing tenure reacts more strongly to unexpected changes in the policy rate in Germany and Switzerland –the OECD countries with the lowest home ownership rates– compared with existing evidence for the U.S. An unexpected decrease in the policy rate by 25 basis points increases the home ownership rate by 0.8 percentage points in Germany and by 0.6 percentage points in Switzerland. The response of non-housing consumption in Switzerland is less heterogeneous across renters and mortgagors, and has a different pattern across age groups than in the U.S. We discuss economic explanations for these findings and implications for monetary policy.
In 1983, Brian Henderson published an article that examined various types of narrative structure in film, including flashbacks and flashforwards. After analyzing a whole spectrum of techniques capable of effecting a transition between past and present – blurs, fades, dissolves, and so on – he concluded: "Our discussions indicate that cinema has not (yet) developed the complexity of tense structures found in literary works". His "yet" (in parentheses) was an instance of laudable caution, as very soon – in some ten–fifteen years – the situation would change drastically, and temporal twists would become a trademark of a new genre that has not (yet) acquired a standardized name: "modular narratives", "puzzle films", and "complex films" are among the labels used.
Asset transaction prices sampled at high frequency are much staler than one might expect in the sense that they frequently lack new updates showing zero returns. In this paper, we propose a theoretical framework for formalizing this phenomenon. It hinges on the existence of a latent continuous-time stochastic process pt valued in the open interval (0; 1), which represents at any point in time the probability of the occurrence of a zero return. Using a standard infill asymptotic design, we develop an inferential theory for nonparametrically testing, the null hypothesis that pt is constant over one day. Under the alternative, which encompasses a semimartingale model for pt, we develop non-parametric inferential theory for the probability of staleness that includes the estimation of various integrated functionals of pt and its quadratic variation. Using a large dataset of stocks, we provide empirical evidence that the null of the constant probability of staleness is fairly rejected. We then show that the variability of pt is mainly driven by transaction volume and is almost unaffected by bid-ask spread and realized volatility.
Through the lens of market participants' objective to minimize counterparty risk, we provide an explanation for the reluctance to clear derivative trades in the absence of a central clearing obligation. We develop a comprehensive understanding of the benefits and potential pitfalls with respect to a single market participant's counterparty risk exposure when moving from a bilateral to a clearing architecture for derivative markets. Previous studies suggest that central clearing is beneficial for single market participants in the presence of a sufficiently large number of clearing members. We show that three elements can render central clearing harmful for a market participant's counterparty risk exposure regardless of the number of its counterparties: 1) correlation across and within derivative classes (i.e., systematic risk), 2) collateralization of derivative claims, and 3) loss sharing among clearing members. Our results have substantial implications for the design of derivatives markets, and highlight that recent central clearing reforms might not incentivize market participants to clear derivatives.
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.