Global Disaster Risk Matters

Published Online:https://doi.org/10.1287/mnsc.2022.4328

References

  • Baker M, Wurgler J, Yuan Y (2012) Global, local, and contagious investor sentiment. J. Finance Econom. 104(2):272–287.CrossrefGoogle Scholar
  • Barro R (2006) Rare disasters and asset markets in the twentieth century. Quart. J. Econom. 121(3):823–866.CrossrefGoogle Scholar
  • Berkman H, Jacobsen B, Lee J (2011) Time-varying rare disaster risk and stock returns. J. Finance Econom. 101(2):313–332.CrossrefGoogle Scholar
  • Bollerslev T, Todorov V, Xu L (2015) Tail risk premia and return predictability. J. Finance Econom. 118(1):113–134.CrossrefGoogle Scholar
  • Campbell J (1991) A variance decomposition for stock returns. Econom. J. (Lond.). 101:157–179.Google Scholar
  • Campbell J (1993) Intertemporal asset pricing without consumption data. Amer. Econom. Rev. 83:487–512.Google Scholar
  • Campbell J, Ammer J (1993) What moves the stock and bond markets? A variance decomposition for long-term asset returns. J. Finance 48(1):3–37.CrossrefGoogle Scholar
  • Campbell J, Shiller R (1988) The dividend-price ratio and expectations of future dividends and discount factors. Rev. Finance Stud. 1(1):195–228.CrossrefGoogle Scholar
  • Campbell J, Thompson S (2008) Predicting excess stock returns out of sample: Can anything beat the historical average? Rev. Finance Stud. 21(4):1509–1531.CrossrefGoogle Scholar
  • Campbell J, Vuolteenaho T (2004) Inflation illusion and stock prices. Amer. Econom. Rev. 94(2):19–23.CrossrefGoogle Scholar
  • Campbell J, Serfaty DE, Medeiros K, Viceia LM (2010) Global currency hedging. J. Finance 65(1):87–121.CrossrefGoogle Scholar
  • Chen J, Tang G, Yao J, Zhou G (2020) Investor attention and stock returns. J. Financial Quant. Analysis. Google Scholar
  • Clark TE, West KD (2007) Approximately normal tests for equal predictive accuracy in nested models. J. Econometrics 138(1):291–311.CrossrefGoogle Scholar
  • Cochrane J, Piazzesi M (2005) Bond risk premia. Amer. Econom. Rev. 95(1):138–160.CrossrefGoogle Scholar
  • Engsted T, Pedersen T, Tanggaard C (2012) Pitfalls in var based return decompositions: A clarification. J. Bank. Finance 36:1255–1265.CrossrefGoogle Scholar
  • Farhi E, Gabaix X (2016) Rare disasters and exchange rates. Quart. J. Econom. 131(1):1–52.CrossrefGoogle Scholar
  • Ferreira MA, Santa-Clara P (2011) Forecasting stock market returns: The sum of the parts is more than the whole. J. Finance Econom. 100(3):514–537.CrossrefGoogle Scholar
  • Flachaire E (1999) A better way to bootstrap pairs. Econom. Lett. 64(3):257–262.CrossrefGoogle Scholar
  • Freedman D (1981) Bootstrapping regression models. Ann. Statist. 9(6):1218–1228.CrossrefGoogle Scholar
  • Gabaix X (2008) Variable rare disasters: A tractable theory of ten puzzles in macro-finance. Amer. Econom. Rev. 98(2):64–67.CrossrefGoogle Scholar
  • Gabaix X (2012) Variable rare disasters: An exactly solved framework for ten puzzles in macro-finance. Quart. J. Econom. 127:645–700.CrossrefGoogle Scholar
  • Gao G, Lu X, Song Z (2019) Tail risk concerns everywhere. Management Sci. 65(7):3111–3130.LinkGoogle Scholar
  • Gourio F (2012) Disaster risk and business cycles. Amer. Econom. Rev. 102(6):2734–2766.CrossrefGoogle Scholar
  • Gourio F, Siemer M, Verdelhan A (2013) International risk cycles. J. Internat. Econom. 89(2):471–484.CrossrefGoogle 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
  • Gu S, Kelly B, Xiu D (2020) Empirical asset pricing via machine learning. Rev. Finance Stud. 33(5):2223–2273.CrossrefGoogle Scholar
  • Hansen PR, Timmermann A (2012) Choice of sample split in out-of-sample forecast evaluation, Working Paper, University of California at San Diego.Google Scholar
  • Hodrick R (1992) Dividend yields and expected stock returns: Alternative procedures for inference and measurement. Rev. Finance Stud. 5(3):357–386.CrossrefGoogle Scholar
  • Huang D, Jiang F, Tu J, Zhou G (2015) Investor sentiment aligned: A powerful predictor of stock returns. Rev. Financ. Stud. 28(3):791–837.CrossrefGoogle Scholar
  • Huang D, Lia J, Wang L, Zhou G (2019) Time series momentum: Is it there? J. Financial Econom. 135:774–794.CrossrefGoogle Scholar
  • Kandel S, Stambaugh R (1996) On the predictability of stock returns: An asset allocation perspective. J. Finance 51(3):385–424.CrossrefGoogle Scholar
  • Kelly B, Jiang H (2014) Tail risk and asset prices. Rev. Finance Stud. 27:2841–2871.CrossrefGoogle Scholar
  • Kelly B, Pruitt S (2013) Market expectations in the cross-section of present values. J. Finance 68(5):1721–1756.CrossrefGoogle Scholar
  • Kelly B, Pruitt S (2015) The three-pass regression filter: A new approach to forecasting using many predictors. J. Econometrics 186(2):294–316.CrossrefGoogle Scholar
  • Kilic M, Wachter J (2018) Risk, unemployment, and the stock market: A rare-event-based explanation of labor market volatility. Rev. Finance Stud. 31(12):4762–4814.CrossrefGoogle Scholar
  • Lewis K, Liu E (2017) Disaster risk and asset returns: An international perspective. J. Internat. Econom. 108(S1):S42–S58.CrossrefGoogle Scholar
  • Light N, Maslov D, Rytchkov O (2017) Aggregation of information about the cross section of stock returns: A latent variable approach. Rev. Finance Stud. 30(4):1339–1381.CrossrefGoogle Scholar
  • Lustig H, Roussanov N, Verdelhan A (2014) Countercyclical currency risk premia. J. Finance Econom. 111(3):527–553.CrossrefGoogle Scholar
  • Manela A, Moreira A (2017) News implied volatility and disaster concerns. J. Finance Econom. 123(1):137–162.CrossrefGoogle Scholar
  • Mele A (2007) Asymmetric stock market volatility and the cyclical behavior of expected returns. J. Finance Econom. 86(2):446–478.CrossrefGoogle Scholar
  • Moskowitz T, Ooi Y, Pedersen L (2012) Time series momentum. J. Finance Econom. 104:228–250.CrossrefGoogle Scholar
  • Newey W, West K (1987) A simple, positive semidefinite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica 55:703–708.CrossrefGoogle Scholar
  • Pettenuzzo D, Timmermann A, Valkanov R (2014) Forecasting stock returns under economic constraints. J. Finance Econom. 114(3):517–553.CrossrefGoogle Scholar
  • Ranaldo A, Söderlind P (2010) Safe haven currencies. Rev. Finance 14(3):385–407.CrossrefGoogle Scholar
  • Rapach D, Ringgenberg M, Zhou G (2016) Short interest and aggregate stock returns. J. Finance Econom. 121(1):46–65.CrossrefGoogle Scholar
  • Rapach D, Strauss J, Zhou G (2010) Out-of-sample equity premium prediction: Combination forecasts and links to the real economy. Rev. Financial Stud. 23(2):821–862.CrossrefGoogle 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
  • Rietz T (1988) The equity risk premium: a solution. J. Monet. Econom. 22(1):117–131.CrossrefGoogle Scholar
  • Rossi B, Inoue A (2012) Out-of-sample forecast tests robust to the choice of window size. J. Bus. Econom. Statist. 30:432–453.CrossrefGoogle Scholar
  • Sarno L, Schneider P, Wagner C (2012) Properties of foreign exchange risk premiums. J. Finance Econom. 105(2):279–310.CrossrefGoogle Scholar
  • Wachter J (2013) Can time-varying risk of rare disasters explain aggregate stock market volatility? J. Finance 68(1):987–1035.CrossrefGoogle Scholar
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