Semantic Scholar Open Access 2013 422 sitasi

Noise as Information for Illiquidity: Noise as Information for Illiquidity

Grace X. Hu Jun Pan Jiang Wang

Abstrak

We propose a market-wide liquidity measure by exploiting the connection between the amount of arbitrage capital in the market and observed “noise” in U.S. Treasury bonds—the shortage of arbitrage capital allows yields to deviate more freely from the curve, resulting in more noise in prices. Our noise measure captures episodes of liquidity crises of different origins across the financial market, providing information beyond existing liquidity proxies. Moreover, as a priced risk factor, it helps to explain cross-sectional returns on hedge funds and currency carry trades, both known to be sensitive to the general liquidity conditions of the market. ∗Hu is from Faculty of Business and Economics, University of Hong Kong, and Pan (corresponding author) and Wang are from MIT Sloan School of Management, CAFR, and NBER. We are grateful to Cam Harvey (the Editor), the associate editor, two anonymous reviewers, Darrell Duffie, Mark Kritzman, Krishna Ramaswamy, Dimitri Vayanos, Adrien Verdelhan, and Haoxiang Zhu for valuable discussions. We also thank comments from seminar participants at Boston University, Shanghai University of Finance and Economics, University of Maryland, University of Michigan, University of Pennsylvania, University of Western Australia, Capula Investment Management LLC, 2011 NBER Asset Pricing Program Spring Meeting, Moody’s 2011 Credit Risk Conference, Morgan Stanley, and Q Group 2012 Spring Conference. The level of liquidity in the aggregate financial market is closely connected to the amount of arbitrage capital available. During normal times, institutional investors such as investment banks and hedge funds have abundant capital, which they can deploy to supply liquidity. Consequently, big price deviations from fundamental values are largely eliminated by arbitrage forces, and assets are traded at prices closer to their fundamental values. During market crises, however, capital becomes scarce and/or willingness to deploy it diminishes, and liquidity in the overall market dries up. The lack of sufficient arbitrage capital limits arbitrage forces and assets can be traded at prices significantly away from their fundamental values. Thus, temporary price deviations, or noise in prices, being a key symptom of shortage in arbitrage capital, contains important information about the amount of liquidity in the aggregate market. In this paper, we analyze the noise in the price of U.S. Treasuries and examine its informativeness as a measure of overall market illiquidity. Our basic premise is that the abundance of arbitrage capital during normal times helps smooth out the Treasury yield curve and keep the average dispersion low. This is particularly true given the presence of many proprietary trading desks at investment banks and fixedincome hedge funds that are dedicated to relative value trading with the intention to arbitrage across various habitats on the yield curve. During liquidity crises, however, the lack of arbitrage capital forces proprietary trading desks and hedge funds to limit or even abandon their relative value trades, leaving the yields to move more freely in their own habitats and resulting in more noise in the yield curve. We argue that abnormal noise in Treasury prices is a symptom of a market in severe shortage of arbitrage capital. More importantly, to the extent that capital is allocated across markets for major marginal players in the market, this symptom applies not only to the Treasury market, but also more broadly to the overall financial market.

Topik & Kata Kunci

Penulis (3)

G

Grace X. Hu

J

Jun Pan

J

Jiang Wang

Format Sitasi

Hu, G.X., Pan, J., Wang, J. (2013). Noise as Information for Illiquidity: Noise as Information for Illiquidity. https://doi.org/10.1111/JOFI.12083

Akses Cepat

Lihat di Sumber doi.org/10.1111/JOFI.12083
Informasi Jurnal
Tahun Terbit
2013
Bahasa
en
Total Sitasi
422×
Sumber Database
Semantic Scholar
DOI
10.1111/JOFI.12083
Akses
Open Access ✓