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Author:Moench, Emanuel 

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Dynamic Leverage Asset Pricing

We empirically investigate predictions from alternative intermediary asset pricing theories. The theories distinguish themselves in their use of intermediary equity or leverage as pricing factors or forecasting variables. We find strong support for a parsimonious dynamic pricing model based on broker-dealer leverage as the return forecasting variable and shocks to broker-dealer leverage as a cross-sectional pricing factor. The model performs well in comparison to other intermediary asset pricing models as well as benchmark pricing models, and extends the cross-sectional results by Adrian, ...
Staff Reports , Paper 625

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Is There Hope for the Expectations Hypothesis?

Most macroeconomic models impose a tight link between expected future short rates and the term structure of interest rates via the expectations hypothesis (EH). While systematically rejected in the data, existing work evaluating the EH generally assumes either full-information rational expectations or stationarity of beliefs, or both. As such, these analyses are ill-equipped to refute the EH when these assumptions fail to hold, leaving the door open for a “resurrection” of the EH. We introduce a model of expectations formation which features time-varying means and accommodates deviations ...
Staff Reports , Paper 1098

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Fundamental disagreement

We use the term structure of disagreement of professional forecasters to document a novel set of facts: (1) forecasters disagree at all horizons, including the long run; (2) the term structure of disagreement differs markedly across variables: it is downward sloping for real output growth, relatively flat for inflation, and upward sloping for the federal funds rate; (3) disagreement is time-varying at all horizons, including the long run. These new facts present a challenge to benchmark models of expectation formation based on informational frictions. We show that these models require two ...
Staff Reports , Paper 655

Discussion Paper
Survey Measures of Expectations for the Policy Rate

Market prices provide timely information on policy expectations. But as we emphasized in our previous post, they can deviate from investors? expectations of the most likely path because they embed risk premiums and represent probability-weighted averages over different possible paths. In contrast, surveys explicitly ask respondents for their views on the likely path of economic variables. In this post, we highlight two surveys conducted by the Federal Reserve Bank of New York that provide information about expectations that can complement market-based measures.
Liberty Street Economics , Paper 20141205a

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Dynamic hierarchical factor models

This paper uses multi-level factor models to characterize within- and between-block variations as well as idiosyncratic noise in large dynamic panels. Block-level shocks are distinguished from genuinely common shocks, and the estimated block-level factors are easy to interpret. The framework achieves dimension reduction and yet explicitly allows for heterogeneity between blocks. The model is estimated using a Markov chain Monte-Carlo algorithm that takes into account the hierarchical structure of the factors. We organize a panel of 447 series into blocks according to the timing of data ...
Staff Reports , Paper 412

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The term structure of expectations and bond yields

Bond yields can be decomposed into expected short rates and term premiums. We directly measure the former using all available U.S. professional forecasts and obtain the latter as the difference between bond yields and survey-based expected short rates. While the behavior of nominal and real short rate expectations is consistent with standard macroeconomic theory, term premiums account for the bulk of the cross-sectional and time series variation in yields. They also largely explain the yield curve's reaction to a host of structural economic shocks. This dramatic failure of the expectations ...
Staff Reports , Paper 775

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Decomposing real and nominal yield curves

We present an affine term structure model for the joint pricing of Treasury Inflation-Protected Securities (TIPS) and Treasury yield curves that adjusts for TIPS? relative illiquidity. Our estimation using linear regressions is computationally very fast and can accommodate unspanned factors. The baseline specification with six principal components extracted from Treasury and TIPS yields, in combination with a liquidity factor, generates negligibly small pricing errors for both real and nominal yields. Model-implied expected inflation provides a better prediction of actual inflation than ...
Staff Reports , Paper 570

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Forecasting through the rear-view mirror: data revisions and bond return predictability

Real-time macroeconomic data reflect the information available to market participants, whereas final data?containing revisions and released with a delay?overstate the information set available to them. We document that the in-sample and out-of-sample Treasury return predictability is significantly diminished when real-time as opposed to revised macroeconomic data are used. In fact, much of the predictive information in macroeconomic time series is due to the data revision and publication lag components.
Staff Reports , Paper 581

Discussion Paper
Treasury Term Premia: 1961-Present

Treasury yields can be decomposed into two components: expectations of the future path of short-term Treasury yields and the Treasury term premium. The term premium is the compensation that investors require for bearing the risk that short-term Treasury yields do not evolve as they expected. Studying the term premium over a long time period allows us to investigate what has historically driven changes in Treasury yields. In this blog post, we estimate and analyze the Treasury term premium from 1961 to the present, and make these estimates available for download here.
Liberty Street Economics , Paper 20140512

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Pricing the term structure with linear regressions

We estimate the time series and cross section of bond returns by way of three-stage ordinary least squares, which we label dynamic Fama-MacBeth regressions. Our approach allows for estimation of models with a large number of pricing factors. Even though we do not impose yield cross-equation restrictions in the estimation, we show that our bond return regressions generate a term structure of interest rates with small yield errors when compared with commonly reported specifications. We uncover specifications that give rise to lower pricing errors than do commonly advocated specifications, both ...
Staff Reports , Paper 340

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