Monetary Policy and Financial Stability: Cross‐Country Evidence

We explain the heterogeneous response of central banks to financial stability risks based on a financial stability orientation (FSO) index, which reflects statutory, regulatory, and discretionary components of central banks' monetary policy frameworks. Our baseline results from a cross‐country panel of modified Taylor rules suggest that central banks with a high FSO increase their policy rates in response to elevated financial stability risks by 0.27 percentage points more than central banks with a low orientation. Back‐of‐the‐envelope calculations suggest that this policy rate differential translates into a reduced crisis probability but also into considerably lower inflation and output growth rates.     

EASY MONEY OR HARD TIMES? HEALTH AND 401(k) LOANS

Rising health care costs and declining personal savings rates are nearly synonymous with household medical debt. For some, defined contribution (DC) retirement savings plans provide a ready source of funds to meet these medical debts. We examine whether health status and health insurance coverage predict the likelihood of having a DC loan using data from the Federal Reserve's triennial Survey of Consumer Finances (SCF) from 1989 to 2007. We find that poor health raises the likelihood that a household will borrow from their DC plans, even controlling for other forms of debt, access to credit, and whether households are covered by health insurance. Our estimates of the amount of the DC loan, taking selection effects into account, indicate that DC loan amounts are also influenced by health status; those with poor health borrow more from their DC plans. Apart from health status, once a household decides to borrow from their retirement funds, race and education also influence how much to borrow. We argue that public policy can improve the long‐term financial retirement security of households by offering more opportunities to save for medical emergencies, while cautiously maintaining the opportunity to borrow from DC plans. (JEL D12, D14, D91)     

Measuring Financial Integration via Idiosyncratic Risk: What Effects Are We Really Picking Up?

We study the method proposed by Flood and Rose (FR, 2004, 2005) for checking for financial integration by estimating the risk-free rate using the idiosyncratic component of individual stock returns. Performing simulations with data with a known return generation process, we find that the FR methodology produces poor estimates of the risk-free rate, and hence the FR method fails to accept integration when true. We then show analytically that the FR method actually provides an estimate of the market return, and conclude the FR methodology would also falsely accept integration as long as the market returns in the two markets do not differ widely.     

Figuring Out the Fed—Beliefs about Policymakers and Gains from Transparency

In this paper, I use a Markov chain Monte Carlo algorithm to estimate a model of private‐sector behavior that does not feature private‐sector knowledge of the monetary policymaking process and, instead, leaves firms and households uncertain about how monetary policy is set. The private sector entertains two competing views of monetary policymaking, which I estimate. Firms and households use Bayes' law on a rolling data sample to distinguish between those two models. I use this setup to study the evolution of beliefs about the Federal Reserve and the possible gains from transparency.     

Real Balance Effects,Timing, and Equilibrium Determination

By assuming that money balances at the beginning instead of at the end of the period provide transaction services, standard results on nominal and real determinacy in monetary models are overturned. The key is that predetermined real money balances can be a state variable. Whereas the determination of the absolute price level typically depends on fiscal policy under an exogenous interest setting, nominal determinacy is now achieved even when fiscal policy is Ricardian. Also, in contrast to the Taylor principle, the interest rate policy should respond passively to changes in inflation, thus ensuring nonoscillatory and locally stable equilibrium sequences.     

The Roles of Corporate Governance in Bank Failures during the Recent Financial Crisis

We analyze the roles of bank ownership, management, and compensation structures in bank failures during the recent financial crisis. Our results suggest that failures are strongly influenced by ownership structure: high shareholdings of lower‐level management and non‐chief executive officer (non‐CEO) higher‐level management increase failure risk significantly. In contrast, shareholdings of banks’ CEOs do not have a direct impact on bank failure. These findings suggest that high stakes in the bank induce non‐CEO managers to take high risks due to moral hazard incentives, which may result in bank failure. We identify tail risk in noninterest income as a primary risk‐taking channel of lower‐level managers.     

The Economics of Disclosure and Financial Reporting Regulation: Evidence and Suggestions for Future Research

This paper discusses the empirical literature on the economic consequences of disclosure and financial reporting regulation, drawing on U.S. and international evidence. Given the policy relevance of research on regulation, we highlight the challenges with (1) quantifying regulatory costs and benefits, (2) measuring disclosure and reporting outcomes, and (3) drawing causal inferences from regulatory studies. Next, we discuss empirical studies that link disclosure and reporting activities to firm‐specific and market‐wide economic outcomes. Understanding these links is important when evaluating regulation. We then synthesize the empirical evidence on the economic effects of disclosure regulation and reporting standards, including the evidence on International Financial Reporting Standards (IFRS) adoption. Several important conclusions emerge. We generally lack evidence on market‐wide effects and externalities from regulation, yet such evidence is central to the economic justification of regulation. Moreover, evidence on causal effects of disclosure and reporting regulation is still relatively rare. We also lack evidence on the real effects of such regulation. These limitations provide many research opportunities. We conclude with several specific suggestions for future research.     

The Dynamics of Capital Flow Episodes

We first propose a novel methodology for identifying episodes of strong equity and bond flows using estimates from a regime-switching model that keeps context- and sample-specific assumptions to a minimum. We then assess the impacts of U.S. stock market volatility (VIX) and U.S. monetary policy shocks on equity and bond flow episodes. Our results indicate that the impacts of both shocks differ across in- and outflow episodes and, based on an assessment of equity flows, vary considerably over time. While VIX shocks are mostly associated with asymmetric impacts across episodes, U.S. monetary policy shocks generate such asymmetries primarily over time.     

Real Anomalies

We examine the importance of cross‐sectional asset pricing anomalies (alphas) for the real economy. To this end, we develop a novel quantitative model of the cross‐section of firms that features lumpy investment and informational inefficiencies, while yielding distributions in closed form. Our findings indicate that anomalies can cause material real inefficiencies, which raises the possibility that agents who help eliminate them add significant value to the economy. The model shows that the magnitude of alphas alone is a poor indicator of real outcomes, and highlights the importance of the alpha persistence, the amount of mispriced capital, and the Tobin's q of firms affected.     

What Is the Expected Return on a Stock?

We derive a formula for the expected return on a stock in terms of the risk‐neutral variance of the market and the stock's excess risk‐neutral variance relative to that of the average stock. These quantities can be computed from index and stock option prices; the formula has no free parameters. The theory performs well empirically both in and out of sample. Our results suggest that there is considerably more variation in expected returns, over time and across stocks, than has previously been acknowledged.