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1. Risk, Financial Development and Firm Dynamics

Author:
Bernardo Morias
Publication Date:
05-2015
Content Type:
Commentary and Analysis
Institution:
Board of Governors of the Federal Reserve System
Abstract:
I document that the average productivity of firms tends to increase, and its variance to decrease, as they age. These two facts combined suggest that managers learn to reduce their mistakes as they operate. I develop a quantitative framework mimicking these dynamics and find that young firms have substantially higher financing costs due to lower and riskier returns. In this scenario, a reduction in the financial development of an economy raises disproportionately the cost of credit of young-productive firms increasing the input misallocation within this subgroup. To test the validity of the theory, I find that the data confirms some novel predictions on a series of firm-level moments. Finally, I show that introducing these two facts allows the model to better explain the relation between financial and economic development.
Topic:
Development, Economic Theory, Risk, Fiscal Policy, Models, and Productivity
Political Geography:
Global Focus

2. Understanding the Great Recession

Author:
Lawrence J. Christiano, Martin Eichenbaum, and Mathias Trabandt
Publication Date:
06-2014
Content Type:
Commentary and Analysis
Institution:
Board of Governors of the Federal Reserve System
Abstract:
We argue that the vast bulk of movements in aggregate real economic activity during the Great Recession were due to financial frictions. We reach this conclusion by looking through the lens of an estimated New Keynesian model in which firms face moderate degrees of price rigidities, no nominal rigidities in the wages and a binding zero lower bound constraint on the nominal interest rate. Our model does a good job of accounting for the joint behavior of labor and goods markets, as well as inflation, during the Great Recession. According to the model the observed fall in total factor productivity and the rise in the cost of working capital played critical roles in accounting for the small size of the drop in inflation that occurred during the Great Recession.
Topic:
Global Recession, Financial Crisis, Economic Theory, Interest Rates, Models, and Economic Crisis
Political Geography:
Global Focus

3. Generating Options-Implied Probability Densities to Understand Oil Market Events

Author:
Deepa Dhume Datta, Juan M. Londono, and Landon J. Ross
Publication Date:
10-2014
Content Type:
Commentary and Analysis
Institution:
Board of Governors of the Federal Reserve System
Abstract:
We investigate the informational content of options-implied probability density functions (PDFs) for the future price of oil. Using a semiparametric variant of the methodology in Breeden and Litzenberger (1978), we investigate the fit and smoothness of distributions derived from alternative PDF estimation methods, and develop a set of robust summary statistics. Using PDFs estimated around episodes of high geopolitical tensions, oil supply disruptions, and macroeconomic data releases, we explore the extent to which oil price movements are expected or unexpected, and whether agents believe these movements to be persistent or temporary.
Topic:
Energy Policy, International Trade and Finance, Markets, Oil, Economic Theory, and Models
Political Geography:
Global Focus

4. A Robust Neighborhood Truncation Approach to Estimation of Integrated Quarticity

Author:
Torben G. Andersen, Dobrislav Dobrev, and Ernst Schaumburg
Publication Date:
04-2013
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
We provide a first in-depth look at robust estimation of integrated quarticity (IQ) based on high frequency data. IQ is the key ingredient enabling inference about volatility and the presence of jumps in financial time series and is thus of considerable interest in applications. We document the significant empirical challenges for IQ estimation posed by commonly encountered data imperfections and set forth three complementary approaches for improving IQ based inference. First, we show that many common deviations from the jump diffusive null can be dealt with by a novel filtering scheme that generalizes truncation of individual returns to truncation of arbitrary functionals on return blocks. Second, we propose a new family of efficient robust neighborhood truncation (RNT) estimators for integrated power variation based on order statistics of a set of unbiased local power variation estimators on a block of returns. Third, we find that ratio-based inference, originally proposed in this context by Barndorff-Nielsen and Shephard (2002), has desirable robustness properties in the face of regularly occurring data imperfections and thus is well suited for empirical applications. We confirm that the proposed filtering scheme and the RNT estimators perform well in our extensive simulation designs and in an application to the individual Dow Jones 30 stocks.
Topic:
Economics, Markets, Models, and Stock Markets
Political Geography:
Global Focus

5. Firm Characteristics and Em

Author:
Leonid Kogan and Mary Tian
Publication Date:
12-2012
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
"A three-factor model using the standardized-unexpected-earnings and cashflow-to-price factors explains 15 well-known asset pricing anomalies." Our data-mining experiment provides a backdrop against which such claims can be evaluated. We construct three-factor linear pricing models that match return spreads associated with as many as 15 out of 27 commonly used firm characteristics over the 1971-2011 sample. We form target assets by sorting firms into ten portfolios on each of the chosen characteristics and form candidate pricing factors as long-short positions in the extreme decile portfolios. Our analysis exhausts all possible 351 three-factor models, consisting of two characteristic-based factors in addition to the market portfolio. 65% of the examined factor models match a larger fraction of the target return cross-sections than the CAPM or the Fama-French three-factor model. We find that the relative performance of the complete set of three-factor models is highly sensitive to the sample choice and the factor construction methodology. Our results highlight the challenges of evaluating empirical factor models.
Topic:
Economics, Markets, Economic Theory, Data, and Models
Political Geography:
Global Focus

6. The Taylor Rule and Interval Forecast For Exchange Rates

Author:
Jian Wang and Jason J. Wu
Publication Date:
01-2009
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
This paper attacks the Meese-Rogoff (exchange rate disconnect) puzzle from a different perspective: out-of-sample interval forecasting. Most studies in the literature focus on point forecasts. In this paper, we apply Robust Semi-parametric (RS) interval forecasting to a group of Taylor rule models. Forecast intervals for twelve OECD exchange rates are generated and modified tests of Giacomini and White (2006) are conducted to compare the performance of Taylor rule models and the random walk. Our contribution is twofold. First, we find that in general, Taylor rule models generate tighter forecast intervals than the random walk, given that their intervals cover out-of-sample exchange rate realizations equally well. This result is more pronounced at longer horizons. Our results suggest a connection between exchange rates and economic fundamentals: economic variables contain information useful in forecasting the distributions of exchange rates. The benchmark Taylor rule model is also found to perform better than the monetary and PPP models. Second, the inference framework proposed in this paper for forecast-interval evaluation can be applied in a broader context, such as inflation forecasting, not just to the models and interval forecasting methods used in this paper.
Topic:
Economics, Exchange Rate Policy, and Models
Political Geography:
Global Focus

7. Uncertainty over Models and Data: The Rise and Fall of American Inflation

Author:
Seth Pruitt
Publication Date:
12-2008
Content Type:
Working Paper
Institution:
Board of Governors of the Federal Reserve System
Abstract:
An economic agent who is uncertain of her economic model learns, and this learning is sensi- tive to the presence of data measurement error. I investigate this idea in an existing framework that describes the Federal Reserve’s role in U.S. inflation. This framework successfully fits the observed inflation to optimal policy, but fails to motivate the optimal policy by the perceived Philips curve trade-off between inflation and unemployment. I modify the framework to account for data uncertainty calibrated to the actual size of data revisions. The modified framework ameliorates the existing problems by adding sluggishness to the Federal Reserve’s learning: the key point is that data uncertainty is amplified by the nonlinearity induced by learning. Conse- quently there is an explanation for the rise and fall in inflation: the concurrent rise and fall in the perceived Philips curve trade-off.
Topic:
Economics, Inflation, and Models
Political Geography:
United States and North America