On the correlation structure of microstructure noise in theory and practice

We argue for incorporating the financial economics of market microstructure into the financial econometrics of asset return volatility estimation. In particular, we use market microstructure theory to derive the cross-correlation function between latent returns and market microstructure noise, which feature prominently in the recent volatility literature. The cross-correlation at zero displacement is typically negative, and cross-correlations at nonzero displacements are positive and decay geometrically. If market makers are sufficiently risk averse, however, the cross-correlation pattern is inverted. Our results are useful for assessing the validity of the frequently-assumed independence of latent price and microstructure noise, for explaining observed cross-correlation patterns, for predicting as-yet undiscovered patterns, and for making informed conjectures as to improved volatility estimation methods

On the Correlation Structure of Microstructure Noise in Theory and Practice

We argue for incorporating the financial economics of market microstructure into the financial econometrics of asset return volatility estimation. In particular, we use market microstructure theory to derive the cross-correlation function between latent returns and market microstructure noise, which feature prominently in the recent volatility literature. The cross-correlation at zero displacement is typically negative, and cross-correlations at nonzero displacements are positive and decay geometrically. If market makers are sufficiently risk averse, however, the cross-correlation pattern is inverted. Our results are useful for assessing the validity of the frequently-assumed independence of latent price and microstructure noise, for explaining observed crosscorrelation patterns, for predicting as-yet undiscovered patterns, and for making informed conjectures as to improved volatility estimation methods.Realized volatility, Market microstructure theory, High-frequency data, Financial econometrics

Exchange Rate Pass-Through and Credit Constraints: Firms Price to Market as Long as They Can

The macroeconomic evidence on the short-term impact of exchange rates on exports and prices is notoriously weak. In this paper I examine the micro-foundations of this disconnect by looking at firms' export and price setting decisions in response to fluctuations in exchange rates and credit conditions using German firm survey data. Firm- level data on pricing and export expectations enables me to measure the instantaneous response of each firm to changing financial constraints and the EUR/USD exchange rate, which avoids endogeneity issues. I find that primarily large firms cause the exchange rate "puzzles" in aggregate data. The exchange rate disconnect disappears for financially constrained firms. For these firms, the pass-through rate of exchange rate changes to prices is more than twice the rate of unconstrained firms. Similarly, their export volumes are about twice as sensitive to exchange rate fluctuations. Credit therefore affects not only exports via trade finance, but also international relative prices by constraining the scope of feasible pricing policies. The effect of borrowing constraints is particularly strong during the recent financial crisis.exchange rate pass-through, exchange rate disconnect, financing constraints, pricing to market, exports, credit crunch, trade collapse, law of one price, trade finance

The Efficiency of the Global Markets for Final Goods and Productive Capabilities

Slow mean reversion of real exchange rates is commonly considered a result of border frictions that remain despite integration of financial and goods markets. This paper shows that even if border frictions decline, a contemporaneous decline in output shock variance can in fact slow down mean reversion. It proposes a new method of estimating border cost from time-series data only, without relying on within-country variation. Applying this method to the real exchange rate of final goods and a novel measure of the real exchange rate for productive capabilities, such as technology and know-how, gives very differential border cost estimates. During the years 1974–2008, a relocation reduces productive capability by 22% for the average country pair, whereas final goods by only 15%. The real exchange rate for final goods takes more than two years to revert to purchasing power parity, more than twice as long as productive capabilities.Border Effect, Real Exchange Rate, PPP, Technology Spillover, Indirect Inference

On the Correlation Structure of Microstructure Noise: A Financial Economic Approach

We introduce the financial economics of market microstructure into the financial econometrics of asset return volatility estimation. In particular, we use market microstructure theory to derive the cross-correlation function between latent returns and market microstructure noise, which feature prominently in the recent volatility literature. The cross-correlation at zero displacement is typically negative, and cross- correlations at nonzero displacements are positive and decay geometrically. If market makers are sufficiently risk averse, however, the cross-correlation pattern is inverted. We derive model-based volatility estimators, which we apply to stock and oil prices. Our results are useful for assessing the validity of the frequently-assumed independence of latent price and microstructure noise, for explaining observed cross-correlation patterns, for predicting as-yet undiscovered patterns, and for microstructure-based volatil- ity estimation.Realized volatility, Market microstructure theory, High-frequency data, Financial econometrics