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Speculators, Prices, and Market Volatility

Published online by Cambridge University Press:  16 December 2016

Celso Brunetti ,
Bahattin Büyükşahin  and
Jeffrey H. Harris
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Abstract

We use data from 2005–2009 that uniquely identify categories of traders to test how speculators such as hedge funds and swap dealers relate to volatility and price changes. In examining various subperiods where price trends are strong, we find little evidence that speculators destabilize financial markets. To the contrary, hedge fund position changes are negatively related to volatility in corn, crude oil, and natural gas futures markets. Additionally, swap dealer activity is largely unrelated to contemporaneous volatility. Our evidence is consistent with the hypothesis that hedge funds provide valuable liquidity and largely serve to stabilize futures markets.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 51 , Issue 5 , October 2016 , pp. 1545 - 1574
Copyright
Copyright © Michael G. Foster School of Business, University of Washington 2016 

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References

Acharya, V. V.; Lochstoer, L. A.; and Ramadorai, T.. “Limits to Arbitrage and Hedging: Evidence from Commodity Markets.” Journal of Financial Economics, 109 (2013), 441–465.Google Scholar
Andersen, T.; Bollerslev, T.; Diebold, F. X.; and Ebens, H.. “The Distribution of Realized Stock Return Volatility.” Journal of Financial Economics, 61 (2001), 43–76.Google Scholar
Andersen, T.; Bollerslev, T.; Diebold, F. X.; and Labys, P.. “Great Realizations.” Risk, 13 (2000), 105–108.Google Scholar
Andersen, T.; Bollerslev, T.; Diebold, F. X.; and Labys, P.. “The Distribution of Realized Exchange Rate Volatility.” Journal of the American Statistical Association, 96 (2001), 42–55.CrossRefGoogle Scholar
Aruoba, S. B.; Diebold, F. X.; and Scotti, C.. “Real-Time Measurement of Business Conditions.” Journal of Business and Economic Statistics, 27 (2009), 417–427.CrossRefGoogle Scholar
Barndorff-Nielsen, O. E.; Hansen, P. R.; Lunde, A.; and Shephard, N.. “Designing Realized Kernels to Measure the Ex-Post Variation of Equity Prices in the Presence of Noise.” Econometrica, 76 (2008), 1481–1536.Google Scholar
Barsky, R., and Kilian, L.. “Oil and the Macroeconomy.” NBER Working Paper No. w10855 (2004).CrossRefGoogle Scholar
Bessembinder, H.; Carrion, A.; Tuttle, L.; and Venkataraman, K.. “Liquidity and Market Quality around Predictable Trades: Evidence from Crude Oil ETF Rolls.” Working Paper, University of Utah (2014).Google Scholar
Bloom, N.“The Impact of Uncertainty Shocks.” Econometrica, 77 (2009), 623–685.Google Scholar
Bodenstein, M., and Guerrieri, L.. “Oil Efficiency, Demand, and Prices: A Tale of Ups and Downs.” International Finance Discussion Papers, Federal Reserve Board (2011).Google Scholar
Brown, S. J.; Goetzmann, W. N.; and Park, J. M.. “Hedge Funds and the Asian Currency Crisis of 1997.” Journal of Portfolio Management, 26 (2000), 95–101.CrossRefGoogle Scholar
Brunetti, C., and Reiffen, D.. “Commodity Index Trading and Hedging Costs.” Journal of Financial Markets, 21 (2014), 153–180.Google Scholar
Brunnermeier, M. K., and Nagel, S.. “Hedge Funds and the Technology Bubble.” Journal of Finance, 59 (2004), 2013–2040.CrossRefGoogle Scholar
Büyükşahin, B.; Haigh, M. S.; Harris, J. H.; Robe, M.; and Overdahl, J.. “Fundamentals, Trading Activity and Derivative Pricing.” Working Paper, Commodity Futures Trading Commission (2010).Google Scholar
Büyükşahin, B., and Harris, J. H.. “Do Speculators Drive Crude Oil Futures Prices?” Energy Journal, 32 (2010), 167–202.CrossRefGoogle Scholar
Chaboud, A.; Chiquoine, B.; Hjalmarsson, E.; and Loretan, M.. “Frequency of Observation and the Estimation of Integrated Volatility in Deep and Liquid Financial Markets.” Journal of Empirical Finance, 17 (2010), 212–240.Google Scholar
Cheng, I.-H.; Kirilenko, A.; and Xiong, W.. “Convective Risk Flows in Commodity Futures Markets.” Review of Finance, 19 (2015), 1733–1781.Google Scholar
Corsi, F.“A Simple Approximate Long-Memory Model of Realized Volatility.” Journal of Financial Econometrics, 7 (2009), 174–196.Google Scholar
De Long, J. B.; Shleifer, A.; Summers, L. H.; and Waldmann, R. J.. “Noise Trader Risk in Financial Markets.” Journal of Political Economy, 98 (1990), 704–738.Google Scholar
Deuskar, P., and Johnson, T. C.. “Market Liquidity and Flow-Driven Risk.” Review of Financial Studies, 24 (2011), 721–753.CrossRefGoogle Scholar
Edwards, F. R.“Hedge Funds and the Collapse of Long-Term Capital Management.” Journal of Economic Perspectives, 13 (1999), 189–210.Google Scholar
Elliot, G.; Rothenberg, T. J.; and Stock, J. H.. “Efficient Tests for an Autoregressive Unit Root.” Econometrica, 64 (1996), 813–836.Google Scholar
Etula, E.“Broker-Dealer Risk Appetite and Commodity Returns.” Journal of Financial Economics, 11 (2013), 486–521.Google Scholar
Friedman, M.“The Case for Flexible Exchange Rates.” In Essays in Positive Economics, Chicago, IL: University of Chicago Press (1953).Google Scholar
Fung, W., and Hsieh, D. A.. “Measuring the Market Impact of Hedge Funds.” Journal of Empirical Finance, 7 (2000), 1–36.Google Scholar
Gorton, G. B.; Hayashi, F.; and Rouwenhorst, K. G.. “The Fundamentals of Commodity Futures Returns.” Review of Finance, 17 (2013), 35–105.Google Scholar
Griffin, J. M.; Harris, J. H.; Shu, T.; and Topaloglu, S.. “Who Drove and Burst the Tech Bubble?” Journal of Finance, 66 (2011), 1251–1290.CrossRefGoogle Scholar
Hamilton, J. D., and Wu, J. C.. “Effects of Index-Fund Investing on Commodity Futures Prices.” International Economic Review, 56 (2015), 187–205.Google Scholar
Hasbrouck, J.“The Summary Informativeness of Stock Trades: An Econometric Analysis.” Review of Financial Studies, 4 (1991), 571–595.CrossRefGoogle Scholar
Henderson, B. J.; Pearson, N. D.; and Wang, L.. “New Evidence on the Financialization of Commodities.” Working Paper, University of Illinois at Urbana-Champaign (2012).Google Scholar
Hirshleifer, D. A.“Determinants of Hedging and Risk Premia in Commodity Futures Markets.” Journal of Financial and Quantitative Analysis, 24 (1989), 313–331.CrossRefGoogle Scholar
Hirshleifer, D. A.“Hedging Pressure and Futures Price Movements in a General Equilibrium Model.” Econometrica, 58 (1990), 411–428.CrossRefGoogle Scholar
Irwin, S. H., and Sanders, D. R.. “Index Funds, Financialization, and Commodity Futures Markets.” Applied Economic Perspectives and Policy, 33 (2011), 1–31.Google Scholar
Irwin, S. H., and Sanders, D. R.. “Testing the Masters Hypothesis in Commodity Futures Markets.” Energy Economics, 34 (2012), 256–269.Google Scholar
Keynes, J. M.“Some Aspects of Commodity Markets.” In The Collected Writings of John Maynard Keynes, London: Macmillan (1923).Google Scholar
Kilian, L.“The Economic Effects of Energy Price Shocks.” Journal of Economic Literature, 46 (2007), 871–909.Google Scholar
Kilian, L., and Vega, C.. “Do Energy Prices Respond to U.S. Macroeconomic News? A Test of the Hypothesis of Predetermined Energy Prices.” Review of Economics and Statistics, 93 (2011), 660–671.Google Scholar
Lakonishok, J.; Shleifer, A.; and Vishny, R. W.. “The Impact of Institutional Trading on Stock Prices.” Journal of Financial Economics, 32 (1992), 23–43.Google Scholar
Leduc, S., and Liu, Z.. “Uncertainty, Unemployment, and Inflation.” Working Paper, Federal Reserve Bank of San Francisco (2012).Google Scholar
Lux, T.“Herd Behaviour, Bubbles and Crashes.” Economic Journal, 105 (1995), 881–896.Google Scholar
MacKinnon, J.“Numerical Distribution Functions for Unit Root and Cointegration Tests.” Journal of Applied Econometrics, 11 (1996), 601–618.3.0.CO;2-T>CrossRefGoogle Scholar
Mou, Y.“Limits to Arbitrage and Commodity Index Investment: Front-Running the Goldman Roll.” Working Paper, Columbia University (2010).Google Scholar
Roberts, M. R., and Whited, T. M.. Endogeneity in Empirical Corporate Finance. New York, NY: Mimeo (2012).Google Scholar
Sanders, D. R., and Irwin, S. H.. “A Speculative Bubble in Commodity Futures Prices? Cross-Sectional Evidence.” Agricultural Economics, 41 (2010), 25–32.CrossRefGoogle Scholar
Sanders, D. R., and Irwin, S. H.. “The Impact of Index Funds in Commodity Futures Markets: A Systems Approach.” Journal of Alternative Investments, 14 (2011), 40–49.CrossRefGoogle Scholar
Scotti, C.“Surprise and Uncertainty Indexes: Real-Time Aggregation of Real-Activity Macro Surprises.” International Finance Discussion Papers 1093, Board of Governors of the Federal Reserve System (2016).Google Scholar
Shiller, R. J.“From Efficient Markets Theory to Behavioral Finance.” Journal of Economic Perspectives, 17 (2003), 83–104.Google Scholar
Shleifer, A., and Summers, L. H.. “The Noise Trader Approach to Finance.” Journal of Economic Perspectives, 4 (1990), 19–33.Google Scholar
Singleton, K. J.“Investor Flows and the 2008 Boom/Bust in Oil Prices.” Management Science, 60 (2014), 300–318.Google Scholar
Staiger, D. O., and Stock, J. H.. “Instrumental Variable Regression with Weak Instruments.” Econometrica, 65 (1997), 348–352.Google Scholar
Stock, J. H., and Yogo, M.. “Testing for Weak Instruments in Linear IV Regression.” In Identification and Inference for Econometric Models: Essays in Honor of Thomas Rothenberg, Andrews, D. W. K. and Stock, J. H., eds. Cambridge: Cambridge University Press (2005).Google Scholar
Stoll, H. R., and Whaley, R. E.. “Commodity Index Investing and Commodity Futures Prices.” Journal of Applied Finance, 20 (2010), 7–46.Google Scholar
Tang, K., and Xiong, W.. “Index Investment and Financialization of Commodities.” Financial Analysts Journal, 68 (2012), 54–74.Google Scholar
Zhang, L.; Mykland, P. A.; and Aït-Sahalia, Y.. “A Tale of Two Time Scales: Determining Integrated Volatility with Noisy High-Frequency Data.” Journal of the American Statistical Association, 100 (2005), 1394–1411.Google Scholar