Fear of Hazards in Commodity Futures Markets

Fernandez-Perez, Adrian and Fuertes, Ana-Maria and Gonzalez-Fernandez, Marcos and Miffre, Joelle (2019): Fear of Hazards in Commodity Futures Markets.

Abstract

We examine the commodity futures pricing role of active attention to weather, disease,geopolitical or economic threats or “hazard fear” as proxied by the volume of internet searches by 149 query terms. A long-short portfolio strategy that sorts the cross-section of commodity futures contracts according to a hazard fear signal captures a significant premium. This commodity hazard fear premium reflects compensation for extant fundamental, tail, volatility and liquidity risks factors, but it is not subsumed by them. Exposure to hazard-fear is strongly priced in the cross-section of commodity portfolios. The hazard fear premium exacerbates during periods of adverse sentiment or pessimism in financial markets.

• Item Type: MPRA Paper
• Language: English
• Keywords: Commodity futures; Fear; Attention; Hazards; Internet searches; Sentiment; Longshort portfolios.
• Subjects: Q - Agricultural and Natural Resource Economics ; Environmental and Ecological Economics > Q0 - General > Q02 - Commodity Markets

References

Acharya, V. V., Lochstoer, L. A., and Ramadorai, T. (2013). Limits to Arbitrage and Hedging: Evidence from Commodity Markets, Journal of Financial Economics 109, 441-465.

Amihud, Y. (2002). Illiquidity and Stock Returns: Cross-Section and Time Series Effects. Journal of Financial Markets 5, 31–56.

Baker, M., and Wurgler, J. (2006). Investor sentiment and the cross-section of returns. Journal of Finance 61, 1645–1680.

Baker, M., and Wurgler, J. (2007). Investor sentiment in the stock market. Journal of Economic Perspectives 21, 129–152 .

Baker, S. R., Bloom, N., and Davis, S. J. (2016). Measuring economic policy uncertainty. The Quarterly Journal of Economics 131, 1593-1636.

Bakshi, G., Gao, X., and Rossi, A. G. (2019). Understanding the Sources of Risk Underlying the Cross Section of Commodity Returns. Management Science 65, 619-641.

Barberis, N., and Huang, M. (2008). Stocks as lotteries: The implications of probability weighting for security prices. American Economic Review 98, 2066–2100.

Barberis, N., Shleifer, A., and Vishny, R. (1998). A Model of Investor Sentiment. Journal of Financial Economics 49, 307-343.

Barro, R. (2006). Rare Disasters and Asset Markets in the Twentieth Century. Quarterly Journal of Economics 121, 823-866.

Basu, D., and Miffre, J. (2013). Capturing the Risk Premium of Commodity Futures: The Role of Hedging Pressure. Journal of Banking and Finance 37, 2652–2664.

Ben-Rephael, A., Da, Z., and Israelsen, R. D. (2017). It Depends on Where You Search: Institutional Investor Attention and Underreaction to News. Review of Financial Studies 30, 3009–3047.

Bessembinder, H. (1992). Systematic Risk, Hedging Pressure, and Risk Premiums in Futures Markets. Review of Financial Studies 4, 637–667.

Bianchi, R. J., Drew, M., and Fan, J. (2015). Combining Momentum with Reversal in Commodity Futures. Journal of Banking and Finance 59, 423–444.

Birru, J. (2018). Day of the week and the cross-section of returns. Journal of Financial Economics 130, 182–214.

Brennan, M. (1958). The Supply of Storage. American Economic Review 48, 50-72.

Boons, M., and Prado, M. (2019). Basis-Momentum. Journal of Finance 74, 239-279.

Caldara, D., and Iacoviello, M. (2018). Measuring Geopolitical Risk. Board of Governors of the Federal Reserve System International Finance Discussion Paper No. 1222.

Cheng, I-H., Kirilenko, A., and Xiong, W (2015). Convective Risk Flows in Commodity Futures Markets. Review of Finance 19, 1733–1781.

Choi, D., Gao, Z., and Jiang, W. (2020). Attention to Global Warming. Review of Financial Studies, forthcoming.

Cootner, P. H. (1960). Returns to Speculators: Telser versus

Keynes. Journal of Political Economy 68, 396–404.

Da, Z., Engelberg, J., and Gao, P. (2011). In Search of Attention. Journal of Finance 66, 1461–1499.

Da, Z., Engelberg, J., and Gao, P. (2015). The Sum of All FEARS Investor Sentiment and Asset Prices. Review of Financial Studies 28, 1–32.

D'Amuri, F., and Marcucci, J. (2017). The Predictive Power of Google Searches in Forecasting US Unemployment. International Journal of Forecasting 33, 801-816.

Daskalaki, C., Kostakis, A., and Skiadopoulos, G. (2014). Are There Common Factors in Commodity Futures Returns? Journal of Banking and Finance 40, 346–363.

DeLong, J. B., Shleifer, A., Summers, L.H., and Waldmann, R. (1990). Noise trader Risk in Financial Markets. Journal of Political Economy 98, 703–738.

Dergiades, T., Milas, C., and Panagiotidis, T. (2015). Tweets, Google Trends, and Sovereign Spreads in the GIIPS. Oxford Economic Papers 67, 406–432.

Dzielinski, M., Rieger, M.O., and Talpsepp, T. (2018). Asymmetric Attention and Volatility Asymmetry. Journal of Empirical Finance 45, 59-67.

Erb, C. B., and Harvey, C. R. (2006). The Strategic and Tactical Value of Commodity Futures. Financial Analysts Journal 62, 69–97.

Fang, L. and Peress. J. (2009). Media Coverage and the Cross-Section of Stock Returns, Journal of Finance 64, 2023-2-25.

Fama, E. F., and MacBeth, J. D. (1973). Risk, Return, and Equilibrium: Empirical Tests. Journal of Political Economy 81, 607–636.

Fernandez-Perez, A., Frijns, B., Fuertes, A.-M., and Miffre, J. (2018). The Skewness of Commodity Futures Returns. Journal of Banking and Finance 86, 143-158.

Gao, L., Süss, S. (2015). Market Sentiment in Commodity Futures Returns. Journal of Empirical Finance 33, 84-103.

Gorton, G., Hayashi, F., and Rouwenhorst, G. (2012). The Fundamentals of Commodity Futures Returns. Review of Finance 17, 35-105.

Gorton, G., and Rouwenhorst, G., (2006). Facts and Fantasies about Commodity Futures. Financial Analysts Journal 62, 47-68.

Gu, M., Kang, W., Lou, D., & Tang, K. (2019). Relative-basis. SSRN Working Paper 3404561.

Han, L., Lv, Q., and Yin, L. (2017a). Can Investor Attention Predict Oil Prices? Energy Economics 66, 547–558.

Han, L., Li, Z., and Yin, L. (2017b). The Effects of Investor Attention on Commodity Futures Markets. Journal of Futures Markets 37, 1031–1049.

Hirshleifer, D. (1988). Residual Risk, Trading Costs and Commodity Futures Risk Premia. Review of Financial Studies 1, 173-193.

Hong, G.H., Li, F.W., and Xu, J., (2019). Climate Risks and Market Efficiency. Journal of Econometrics, forthcoming.

Hong, H., Lim, T., and Stein, J.C. (2000). Bad news travels slowly: Size, analyst coverage, and the profitability of momentum strategies. Journal of Finance 55, 265-295.

Iizumi, T., and Ramankutty, N. (2015). How Do Weather and Climate Influence Cropping Area and Intensity? Global Food Security 4, 46–50.

Israel, D. C., and Briones, R. M. (2013). Impacts of Natural Disasters on Agriculture, Food Security, and Natural Resources and Environment in the Philippines. Economic Research Institute for ASEAN and East Asia (ERIA) Discussion Paper 15, 1–53.

Kaldor, N. (1939). Speculation and Economic Stability. Review of Economic Studies 7, 1–27.

Kan, R., Robotti, C., and Shanken, J. (2013). Pricing Model Performance and the Two-Pass Cross-Sectional Regression Methodology. Journal of Finance 68, 2617-2649.

Kahneman, D. & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica 47, 263–291

Kang, W., Rouwenhorst, G., and Tang, K. (2019). A Tale of Two Premiums: The Role of Hedgers and Speculators in Commodity Futures Markets. Journal of Finance 75, 377-417.

Ledoit, O., and Wolf, M. (2008). Robust performance hypothesis testing with the Sharpe ratio. Journal of Empirical Finance 15, 850–859.

Lemieux, J., and Peterson, R. A. (2011). Purchase Deadline as a Moderator of the Effects of Price Uncertainty on Search Duration. Journal of Economic Psychology 32, 33–44.

Lo, A. (2011). Fear, Greed, and Financial Crises: A Cognitive Neurosciences Perspective in Handbook of Systemic Risk (Ch. 23, pp 622-662) eds. J. P. Fouque and J. Langsam, Cambridge University Press.

McLaren, N., and Shanbhogue, R., (2011). Using Internet Search Data as Economic Indicators. Bank of England Quarterly Bulletin Q2.

Marshall, B. R., Nguyen, N. H., and Visaltanachoti, N. (2012). Commodity Liquidity Measurement and Transaction Costs. Review of Financial Studies 25, 599–638.

Miffre, J., and Rallis, G. (2007). Momentum Strategies in Commodity Futures Markets, Journal of Banking and Finance 31, 1863-1886.

Niesert, R.F., Oorschot, J.A., Veldhuisen, C.P., Brons, K., and Lange, R. J. (2019). Can Google Search Data Help Predict Macroeconomic Series? International Journal of Forecasting, forthcoming.

Shanken, J. (1992). On the Estimation of Beta-Pricing Models. Review of Financial Studies 5, 1-33.

Shefrin, H. (2002). Beyond Greed and Fear: Understanding Behavioural Finance and the Psychology of Investing. Oxford University Press.

Shleifer, A. and Vishny, R.W. (1997). The Limits of Arbitrage. Journal of Finance 52, 35–55.

Stephens-Davidowitz, S. and H. Varian (2015). A Hands-on Guide to Google Data. Google Inc. report.

Szymanowska, M., De Roon, F., Nijman, T., and Van Den Goorbergh, R. (2014). An Anatomy of commodity futures risk premia. Journal of Finance 69, 453-482.

Tetlock, P.C. (2007). Giving Content to Investor Sentiment: the Role of Media in the Stock Market. Journal of Finance 62, 1139-1168.

Tetlock, P.C. (2015). The Role of Media in Finance in Handbook of Media Economics, (Vol. 1, Ch.18, 701-721) eds. S.P. Anderson, J. Waldfogel and D. Strömberg, North-Holland.

Tottenham, N. (2014). The Importance of Early Environments for Neuro-Affective Development. Current Topics in Behavioral Neurosciences 16, 109-129.

Vozlyublennaia, N. (2014). Investor Attention, Index Performance, and Return Predictability. Journal of Banking and Finance 41, 17–35.

Whaley, R.E. (2000). The Investor Fear Gauge. Journal of Portfolio Management 26, 12-17.

Working, H. (1949). The Theory of Price of Storage. American Economic Review 39, 1254-1262.