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Traditional New Keynesian models prescribe that optimal monetary policy should aim at price stability. In the absence of a labor market frictions, the monetary authority faces no unemployment/inflation trade-off. I study the design of optimal monetary policy in a framework with sticky prices and matching frictions in the labor market. Optimal policy features deviations from price stability in response to both productivity and government expenditure shocks. When the Hosios 1990 condition is not met, search externalities make the flexible price allocation unfeasible. Optimal deviations from price stability increase with workers’ bargaining power, as firms´ incentives to post vacancies fall and unemployment fluctuates above the Pareto efficient one.
Recent empirical research suggests that measures of investor sentiment have predictive power for future stock returns at intermediate and long horizons. Given that sentiment indicators are widely published, smart investors should exploit the information conveyed by the indicator and thus trigger an immediate market response to the publication of the sentiment indicator. The present paper is the first to empirically analyze whether this immediate response can be identified in the data. We use survey-based sentiment indicators from two countries (Germany and the US). Consistent with previous research we find predictability at intermediate horizons. However, the predictability in the US largely disappears after 1994. Using event study methodology we find that the publication of sentiment indicators affects market returns. The sign of this immediate response is the same as the sign of the intermediate horizon predictability. This is consistent with sentiment being related to mispricing but is inconsistent with the sentiment indicator providing information about future expected returns.
JEL-Classification: G12, G14
Recent evaluations of the fiscal stimulus packages recently enacted in the United States and Europe such as Cogan, Cwik, Taylor and Wieland (2009) and Cwik and Wieland (2009) suggest that the GDP effects will be modest due to crowding-out of private consumption and investment. Corsetti, Meier and Mueller (2009a,b) argue that spending shocks are typically followed by consolidations with substantive spending cuts, which enhance the short-run stimulus effect. This note investigates the implications of this argument for the estimated impact of recent stimulus packages and the case for discretionary fiscal policy.
The global financial crisis has lead to a renewed interest in discretionary fiscal stimulus. Advocates of discretionary measures emphasize that government spending can stimulate additional private spending — the so-called Keynesian multiplier effect. Thus, we investigate whether the discretionary spending announced by Euro area governments for 2009 and 2010 is likely to boost euro area GDP by more than one for one. Because of modeling uncertainty, it is essential that such policy evaluations be robust to alternative modeling assumptions and different parameterizations. Therefore, we use five different empirical macroeconomic models with Keynesian features such as price and wage rigidities to evaluate the impact of fiscal stimulus. Four of them suggest that the planned increase in government spending will reduce private spending for consumption and investment purposes significantly. If announced government expenditures are implemented with delay the initial effect on euro area GDP, when stimulus is most needed, may even be negative. Traditional Keynesian multiplier effects only arise in a model that ignores the forward-looking behavioral response of consumers and firms. Using a multi-country model, we find that spillovers between euro area countries are negligible or even negative, because direct demand effects are offset by the indirect effect of euro appreciation.
The recent financial crisis has led to a major debate about fair-value accounting. Many critics have argued that fair-value accounting, often also called mark-to-market accounting, has significantly contributed to the financial crisis or, at least, exacerbated its severity. In this paper, we assess these arguments and examine the role of fair-value accounting in the financial crisis using descriptive data and empirical evidence. Based on our analysis, it is unlikely that fair-value accounting added to the severity of the current financial crisis in a major way. While there may have been downward spirals or asset-fire sales in certain markets, we find little evidence that these effects are the result of fair-value accounting. We also find little support for claims that fair-value accounting leads to excessive write-downs of banks’ assets. If anything, empirical evidence to date points in the opposite direction, that is, towards overvaluation of bank assets.
In this paper we investigate the comparative properties of empirically-estimated monetary models of the U.S. economy. We make use of a new data base of models designed for such investigations. We focus on three representative models: the Christiano, Eichenbaum, Evans (2005) model, the Smets and Wouters (2007) model, and the Taylor (1993a) model. Although the three models differ in terms of structure, estimation method, sample period, and data vintage, we find surprisingly similar economic impacts of unanticipated changes in the federal funds rate. However, the optimal monetary policy responses to other sources of economic fluctuations are widely different in the different models. We show that simple optimal policy rules that respond to the growth rate of output and smooth the interest rate are not robust. In contrast, policy rules with no interest rate smoothing and no response to the growth rate, as distinct from the level, of output are more robust. Robustness can be improved further by optimizing rules with respect to the average loss across the three models.
The goal of this research is to develop an understanding of what causes organizations and information systems to be “good” with regard to communication and coordination. This study (1) gives a theoretical explanation of how the processes of organizational adaptation work and (2) what is required for establishing and measuring the goodness of an organization with regard to communication and coordination. By leveraging concepts from cybernetics and philosophy of language, particularly the theoretical conceptualization of information systems as social systems and language communities, this research arrives at new insights. After discussing related work from systems theory, organization theory, cybernetics, and philosophy of language, a theoretical conceptualization of information systems as language communities is adopted. This provides the foundation for two exploratory field studies. Then a formal theory for explaining the adaptation of organizations via language and communication is presented. This includes measures for the goodness of organizations with regard to communication and coordination. Finally, propositions stemming from the theoretical model are tested using multiple case studies in six information system development projects in the financial services industry.
Over the last four decades the literature on bond rating changes and its effects on security prices increased significantly with almost all studies not controlling for the respective reason for those. We therefore investigate the impact of rating events on the stock and the credit default swap (CDS) market incorporating rating reviews and rating changes together with the reason mentioned by the rating agency. Our results for the general effects are in line with prior findings but conditioning on the respective reason shows that the markets’ anticipation of rating actions is largely driven by events due to changes in firms’ operating performance. Furthermore, we provide empirical evidence for the hypothesis in prior literature that a surprise downgrade does not necessarily have to be bad news for stockholders when wealth is transferred from bondholders, but negative rating actions are always bad news for bondholders. The results additionally reveal increasing rating announcement effects by declining credit quality of firms for both rating reviews and changes. JEL Classification: D82, G14, G20. Keywords: Credit Default Swaps, Credit Ratings, Credit Rating Reasons, Event Study.
The objective of this paper is to test the hypothesis that in particular financially constrained firms lease a higher share of their assets to mitigate problems of asymmetric information. The assumptions are tested under a GMM framework which simultaneously controls for endogeneity problems and firms’ fixed effects. We find that the share of total annual lease expenses attributable to either finance or operating leases is considerably higher for financially strained as well as for small and fast-growing firms – those likely to face higher agency-cost premiums on marginal financing. Furthermore, our results confirm the substitution of leasing and debt financing for lessee firms. However, we find no evidence that firms use leasing as an instrument to reduce their tax burdens. Keywords: Leasing; financial constraints; capital structure; asymmetric information.