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Jel Classification:C14 

800,000 Years of Climate Risk

We use a long history of global temperature and atmospheric carbon dioxide (CO2) concentration to estimate the conditional joint evolution of temperature and CO2 at a millennial frequency. We document three basic facts. First, the temperature–CO2 dynamics are non-linear, so that large deviations in either temperature or CO2 concentrations take a long time to correct–on the scale of multiple millennia. Second, the joint dynamics of temperature and CO2 concentrations exhibit multimodality around historical turning points in temperature and concentration cycles, so that prior to the start of ...
Staff Reports , Paper 1031

Working Paper
Local Polynomial Regressions versus OLS for Generating Location Value Estimates: Which is More Efficient in Out-of-Sample Forecasts?

As an alternative to ordinary least squares (OLS), we estimate location values for single family houses using a standard housing price and characteristics dataset by local polynomial regressions (LPR), a semi-parametric procedure. We also compare the LPR and OLS models in the Denver metropolitan area in the years 2003, 2006 and 2010 with out-of-sample forecasting. We determine that the LPR model is more efficient than OLS at predicting location values in counties with greater densities of sales. Also, LPR outperforms OLS in 2010 for all 5 counties in our dataset. Our findings suggest that LPR ...
Working Papers , Paper 2015-14

Working Paper
Sample Selection Models Without Exclusion Restrictions: Parameter Heterogeneity and Partial Identification

This paper studies semiparametric versions of the classical sample selection model (Heckman (1976, 1979)) without exclusion restrictions. We extend the analysis in Honoré and Hu (2020) by allowing for parameter heterogeneity and derive implications of this model. We also consider models that allow for heteroskedasticity and briefly discuss other extensions. The key ideas are illustrated in a simple wage regression for females. We find that the derived implications of a semiparametric version of Heckman's classical sample selection model are consistent with the data for women with no college ...
Working Paper Series , Paper WP 2022-33

Working Paper
Measuring Transaction Costs in the Absence of Timestamps

This paper develops measures of transaction costs in the absence of transaction timestamps and information about who initiates transactions, which are data limitations that often arise in studies of over-the-counter markets. I propose new measures of the effective spread and study the performance of all estimators analytically, in simulations, and present an empirical illustration with small-cap stocks for the 2005-2014 period. My theoretical, simulation, and empirical results provide new insights into measuring transaction costs and may help guide future empirical work.
Finance and Economics Discussion Series , Paper 2017-045

Working Paper
Fitting a distribution to survey data for the half-life of deviations from PPP

This note presents a nonparametric Bayesian approach to fitting a distribution to the survey data provided in Kilian and Zha (2002) regarding the prior for the half-life of deviations from purchasing power parity (PPP). A point mass at infinity is included. The unknown density is represented as an average of shape-restricted Bernstein polynomials, each of which has been skewed according to a preliminary parametric fit. A sparsity prior is adopted for regularization.
FRB Atlanta Working Paper , Paper 2015-15

Working Paper
Robust Inference in First-Price Auctions : Experimental Findings as Identifying Restrictions

In laboratory experiments bidding in first-price auctions is more aggressive than predicted by the risk-neutral Bayesian Nash Equilibrium (RNBNE) - a finding known as the overbidding puzzle. Several models have been proposed to explain the overbidding puzzle, but no canonical alternative to RNBNE has emerged, and RNBNE remains the basis of the structural auction literature. Instead of estimating a particular model of overbidding, we use the overbidding restriction itself for identification, which allows us to bound the valuation distribution, the seller's payoff function, and the optimal ...
Finance and Economics Discussion Series , Paper 2019-006

Working Paper
Systemic Tail Risk: High-Frequency Measurement, Evidence and Implications

We develop a new framework to measure market-wide (systemic) tail risk in the cross-section of high-frequency stock returns. We estimate the time-varying jump intensities of asset prices and introduce a testing approach that identifies multi-asset tail risk based on the release times of scheduled news announcements. Using high-frequency data on individual U.S. stocks and sector-specific ETF portfolios, we find that most of the FOMC announcements create systemic left tail risk, but there is no evidence that macro announcements do so. The magnitude of the tail risk induced by Fed news varies ...
Working Papers , Paper 2023-016

Working Paper
Risk, Return, and Volatility Feedback: A Bayesian Nonparametric Analysis

The relationship between risk and return is one of the most studied topics in finance. The majority of the literature is based on a linear, parametric relationship between expected returns and conditional volatility. This paper models the contemporaneous relationship between market excess returns and contemporaneous log-realized variances nonparametrically with an infinite mixture representation of their joint distribution. The conditional distribution of excess returns given log-realized variance will also have an infinite mixture representation but with probabilities and arguments depending ...
FRB Atlanta Working Paper , Paper 2014-6

Working Paper
Option-Implied Libor Rate Expectations across Currencies

In this paper, I study risk-neutral probability densities regarding future Libor rates denominated in British pounds, euros, and US dollars as implied by option prices. I apply Breeden and Litzenberger?s (1978) result regarding the relationship between option prices and implied probabilities for the underlying to estimate full probability density functions for future Libor rates. I use these estimates in case studies, detailing the evolution of probabalistic expectations for future Libor rates over the course of several important market events. Next, I compute distributional moments from ...
International Finance Discussion Papers , Paper 1182

Working Paper
A contribution to the chronology of turning points in global economic activity (1980-2012)

The Database of Global Economic Indicators (DGEI) of the Federal Reserve Bank of Dallas is aimed at standardizing and disseminating world economic indicators for the study of globalization. It includes a core sample of 40 countries with available indicators and broad coverage for quarterly real GDP, and the monthly series of industrial production (IP), Purchasing Managers Index (PMI), merchandise exports and imports, headline CPI, CPI (ex. food and energy), PPI/WPI inflation, nominal and real exchange rates, and official/policy interest rates (see Grossman, Mack, and Martnez-Garca (2013)). ...
Globalization Institute Working Papers , Paper 169


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