Adaptive Methods in Macroeconomic Forecasting

Adaptive methods are used to forecast three main Austrian economic indicators. We use a weighted recursive model as well as a neural network approach both with and without adaptive characteristics and compare our results to the forecasts of two Austrian research institutes. It appears that even models which use very limited information can outperform the two Institutes’ forcasts of the unemployment rate. For the case of most series adaptivity represents a possibility of improving the forecasts. © 1997 by John Wiley & Sons, Ltd.     

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)     

Accounting Information, Disclosure, and the Cost of Capital

In this paper we examine whether and how accounting information about a firm manifests in its cost of capital, despite the forces of diversification. We build a model that is consistent with the Capital Asset Pricing Model and explicitly allows for multiple securities whose cash flows are correlated. We demonstrate that the quality of accounting information can influence the cost of capital, both directly and indirectly. The direct effect occurs because higher quality disclosures affect the firm's assessed covariances with other firms' cash flows, which is nondiversifiable. The indirect effect occurs because higher quality disclosures affect a firm's real decisions, which likely changes the firm's ratio of the expected future cash flows to the covariance of these cash flows with the sum of all the cash flows in the market. We show that this effect can go in either direction, but also derive conditions under which an increase in information quality leads to an unambiguous decline in the cost of capital.     

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.     

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.     

Consumption, Dividends, and the Cross Section of Equity Returns

We show that aggregate consumption risks embodied in cash flows can account for the puzzling differences in risk premia across book‐to‐market, momentum, and size‐sorted portfolios. The dynamics of aggregate consumption and cash flow growth rates, modeled as a vector autoregression, are used to measure the consumption beta of discounted cash flows. Differences in these cash flow betas account for more than 60% of the cross‐sectional variation in risk premia. The market price for risk in cash flows is highly significant. We argue that cash flow risk is important for interpreting differences in risk compensation across assets.