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Working Paper
Capital Controls and the Global Financial Cycle
Capital flows into emerging markets are volatile and associated with risks. A common prescription is to impose counter-cyclical capital controls that tighten during economic booms to mitigate future sudden-stop dynamics, but it has been challenging to document such patterns in the data. Instead, we show that emerging markets tighten their capital controls in response to volatility in international financial markets and elevated risk aversion. We develop a model in which this behavior arises from a desire to manipulate the risk premium. When investors are more risk-averse or markets are ...
Working Paper
Reasons Behind Words: OPEC Narratives and the Oil Market
We analyze the content of the Organization of the Petroleum Exporting Countries (OPEC) communications and whether it provides information to the crude oil market. To this end, we derive an empirical strategy which allows us to measure OPEC's public signal and test whether market participants find it credible. Using Structural Topic Models, we analyze OPEC narratives and identify several topics related to fundamental factors, such as demand, supply, and speculative activity in the crude oil market. Importantly, we find that OPEC communication reduces oil price volatility and prompts market ...
Working Paper
Top Income Concentration and Volatility
Measures of income concentration?such as the share of income received by the highest income families?may be biased by pro-cyclical volatility in annual income. Permanent income, though, can smooth away such volatility and sort families by their usual economic resources. Here, we demonstrate this bias using rolling 3-year panels of IRS tax records from 1997 to 2013 as a proxy for permanent income. For example, one measure of 2012 income concentration?the share of income received by the top 0.1 percent?falls from 11.3 percent to 8.9 percent when families are organized by permanent income ...
Working Paper
When do low-frequency measures really measure transaction costs?
We compare popular measures of transaction costs based on daily data with their high-frequency data-based counterparts. We find that for U.S. equities and major foreign exchange rates, (i) the measures based on daily data are highly upward biased and imprecise; (ii) the bias is a function of volatility; and (iii) it is primarily volatility that drives the dynamics of these liquidity proxies both in the cross section as well as over time. We corroborate our results in carefully designed simulations and show that such distortions arise when the true transaction costs are small relative to ...
Working Paper
Price Setting and Volatility: Evidence from Oil Price Volatility Shocks
How do changes in aggregate volatility alter the impulse response of output to monetary policy? To analyze this question, I study whether individual prices in Producer Price Index micro data are more likely to change and to move in the same direction when aggregate volatility is high, which would increase aggregate price exibility and reduce the effectiveness of monetary policy. Taking advantage of plausibly exogenous oil price volatility shocks and heterogeneity in oil usage across industries, I find that price changes are more dispersed and less frequent, implying that prices are less ...
Working Paper
Taxonomy of Global Risk, Uncertainty, and Volatility Measures
A large number of measures for monitoring risk and uncertainty surrounding macroeconomic and financial outcomes have been proposed in the literature, and these measures are frequently used by market participants, policy makers, and researchers in their analyses. However, risk and uncertainty measures differ across multiple dimensions, including the method of calculation, the underlying outcome (that is, the asset price or macroeconomic variable), and the horizon at which they are calculated. Therefore, in this paper, we review the literature on global risk, uncertainty, and volatility ...
Working Paper
Spectral Backtests of Forecast Distributions with Application to Risk Management
We study a class of backtests for forecast distributions in which the test statistic is a spectral transformation that weights exceedance events by a function of the modeled probability level. The choice of the kernel function makes explicit the user's priorities for model performance. The class of spectral backtests includes tests of unconditional coverage and tests of conditional coverage. We show how the class embeds a wide variety of backtests in the existing literature, and propose novel variants as well. In an empirical application, we backtest forecast distributions for the overnight ...
Working Paper
Interest Rate Volatility and Sudden Stops : An Empirical Investigation
Using a multi-country regime-switching vector autoregressive (VAR) model we document the existence of two regimes in the volatility of interest rates at which emerging economies borrow from international financial markets, and study the statistical relationship of such regimes with episodes of sudden stops. Periods of high volatility tend to be persistent and are associated with high interest rates, the occurrence of sudden stops in external financing, and large declines in economic activity. Most strikingly, we show that regime switches drive the countercyclicality of interest rates in ...