Stock Market Predictability and Industrial Metal Returns

Published Online:https://doi.org/10.1287/mnsc.2017.2933

References

  • Alquist R, Kilian L, Vigfusson RJ (2013) Forecasting the price of oil. Elliott G, Timmermann A, eds. Handbook of Economic Forecasting, Vol. 2 (North-Holland, Amsterdam), 427–507.CrossrefGoogle Scholar
  • Ang A, Bekaert G (2007) Stock return predictability: Is it there? Rev. Financial Stud. 20(3):651–707.CrossrefGoogle Scholar
  • Bakshi G, Panayotov G, Skoulakis G (2014) In search of explanation for the predictive ability of the Baltic Dry Index for global stock returns, commodity returns, and global economic activity. Working paper, University of Maryland.Google Scholar
  • Barsky RB, Kilian L (2002) Do we really know that oil caused the great sagflation? A monetary alternative. NBER/Macroeconom. Annual 16(1):137–183.Google Scholar
  • Barsky RB, Kilian L (2004) Oil and the macroeconomy since the 1970s. J. Econom. Perspect. 18(4):115–134.CrossrefGoogle Scholar
  • Baumeister C, Kilian L (2012) Real-time forecasts of the real price of oil. J. Bus. Econom. Statist. 30(2):326–336.CrossrefGoogle Scholar
  • Baumeister C, Kilian L (2015) Forecasting the real price of oil in a changing world: A forecast combination approach. J. Bus. Econom. Statist. 30(3):338–351.CrossrefGoogle Scholar
  • Bernanke BS (2008) Outstanding issues in the analysis of inflation. Speech at the Federal Reserve Bank of Boston’s 53rd Annual Econom. Conf., Chatham, MA, June 9, https://www.federalreserve.gov/newsevents/speech/bernanke20080609a.htm.Google Scholar
  • Boyd JH, Hu J, Jagannathan R (2005) The stock market’s reaction to unemployment news: Why bad news is usually good for stocks. J. Finance 60(2):649–672.CrossrefGoogle Scholar
  • Campbell JY (1991) A variance decomposition for stock returns. Econom. J. 101(405):157–179.Google Scholar
  • Campbell JY, Shiller RJ (1988) Stock prices, earnings, and expected dividends. J. Finance 43(3):661–676.CrossrefGoogle Scholar
  • Chauvet M, Piger J (2008) A comparison of the real-time performance of business cycle dating methods. J. Bus. Econom. Statist. 26(1):42–49.CrossrefGoogle Scholar
  • Dangl T, Halling M (2012) Predictive regressions with time-varying coefficients. J. Financial Econom. 106(1):157–181.CrossrefGoogle Scholar
  • Driesprong G, Jacobsen B, Maat B (2008) Striking oil: Another puzzle? J. Financial Econom. 89(2):307–327.CrossrefGoogle Scholar
  • Fama EF, French KR (1988) Business cycles and the behavior of metal prices. J. Finance 43(5):1075–1093.CrossrefGoogle Scholar
  • Fama EF, French KR (1989) Business conditions and expected returns on stocks and bonds. J. Financial Econom. 25(1):23–49.CrossrefGoogle Scholar
  • Fama EF, Schwert GW (1977) Asset returns and inflation. J. Financial Econom. 5:115–146.CrossrefGoogle Scholar
  • Forsyth RW (2011) Rising commodities put profits through the wringer. Barrons (February 3), http://online.barrons.com/news/articles.Google Scholar
  • Goyal A, Welch I (2008) A comprehensive look at the empirical performance of equity premium prediction. Rev. Financial Stud. 21(4):1455–1508.CrossrefGoogle Scholar
  • Henkel S, Martin J, Nardari F (2011) Time-varying short-horizon predictability. J. Financial Econom. 99(3):560–580.CrossrefGoogle Scholar
  • Hodrick RJ (1992) Dividend yields and expected stock returns: Alternative procedures for inference and measurement. Rev. Financial Stud. 5(3):357–386.CrossrefGoogle Scholar
  • Hong H, Yogo M (2012) What does futures market interest tell us about the macro economy and asset prices? J. Financial Econom. 105(3):473–490.CrossrefGoogle Scholar
  • Hong H, Torous W, Valkanov R (2007) Do industries lead stock markets? J. Financial Econom. 83(2):367–396.CrossrefGoogle Scholar
  • Hu C, Xiong W (2013) The informational role of commodity futures prices. Working paper, Princeton University, Princeton, NJ.Google Scholar
  • Inoue A, Kilian L (2004) In-sample or out-of-sample tests of predictability: Which one should we use? Econometrics Rev. 23(4): 371–402.CrossrefGoogle Scholar
  • Kelleher J, Zieminski N (2011) More manufacturers warn of rising input costs. Reuters (February 1), http://www.reuters.com/assets/print?aid=USTRE7104YF20110201.Google Scholar
  • Kilian L (2009) Not all oil price shocks are alike: Disentangling demand and supply shocks in the crude oil market. Amer. Econom. Rev. 99(3):1053–1069.CrossrefGoogle Scholar
  • Kilian L (2015) Comment. J. Bus. Econom. Statist. 33(1):13–17.CrossrefGoogle Scholar
  • Kilian L, Park C (2009) The impact of oil price shocks on the U.S. stock market. Internat. Econom. Rev. 50(4):1267–1287.CrossrefGoogle Scholar
  • Levine M (2014) Somebody owns a lot of copper. Bloomberg (October 27), http://www.bloomberg.com/view/articles/2014-10-27/somebody-owns-a-lot-of-copper.Google Scholar
  • Mandaro L (2009) “Dr. Copper” gets tested. MarketWatch (February 12), http://www.marketwatch.com/story/dr-coppers-forecasting-ability-tested-year.Google Scholar
  • McLean RD, Pontiff J (2016) Does academic research destroy stock predictability? J. Finance 71(1):5–32.CrossrefGoogle Scholar
  • McQueen G, Roley VV (1993) Stock prices, news, and business conditions. Rev. Financial Stud. 6(3):683–707.CrossrefGoogle Scholar
  • Mitchell M, Pulvino T, Stafford E (2002) Limited arbitrage in equity markets. J. Finance 57(2):551–584.CrossrefGoogle Scholar
  • Newey W, West KD (1987) A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica 55(3):703–708.CrossrefGoogle Scholar
  • Pesaran MH, Timmermann A (1995) Predictability of stock returns: Robustness and economic significance. J. Finance 50(4):1201–1228.CrossrefGoogle Scholar
  • Pesaran MH, Timmermann A (2009) Testing dependence among serially correlated multicategory variables. J. Amer. Statist. Assoc. 104(485): 325–337.CrossrefGoogle Scholar
  • Pianalto S (2006) Inflation, inflation expectations, and monetary policy. Copper Development Assoc. Global Market Trends Conf., Oak Brooks, IL, September 8, https://www.clevelandfed.org/newsroom-and-events/speeches/sp-20060908-inflation-inflation-expectations-and-monetary-policy.aspx.Google Scholar
  • Rapach D, Strauss J, Zhou G (2013) International stock return predictability. What is the role of the United States? J. Finance 68(4):1633–1662.CrossrefGoogle Scholar
  • Schwert GW (2003) Anomalies and market efficiency. Constantinides GM, Harris M, Stulz R, eds. Handbook of the Economics of Finance, Vol. 1B (Elsevier, Amsterdam), 939–972.Google Scholar
  • Singleton K (2014) Investor flows and the 2008 boom/bust in oil prices. Management Sci. 60(2):300–318.LinkGoogle Scholar
  • Sockin M, Wong W (2015) Informational frictions and commodity markets. J. Finance 70(5):2063–2098.CrossrefGoogle Scholar
  • Tse Y (1999) Price discovery and volatility spillovers in the DJIA index and futures markets. J. Futures Markets 19(8):911–930.CrossrefGoogle Scholar
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