Research article

Return range and the cross-section of expected index returns in international stock markets

  • Received: 03 February 2021 Accepted: 25 May 2021 Published: 31 May 2021
  • JEL Codes: G11, G12, G17

  • This study examines the cross-sectional relation between return range and future returns for the first time in literature. We show that the return range can serve as a very practical measure of total volatility instead of standard deviation due to the range's high correlation with standard deviation and strong predictive ability. Range, standard deviation, and idiosyncratic volatility are cross-sectionally linked to future returns on indexes of small size, while earnings-to-price ratio and net share issuance predict returns of mid-cap and large-cap indexes, respectively. Maximum and minimum return effects along with the momentum effect are prevalent in returns of indexes of any size but stronger for small-cap indexes.

    Citation: Mehmet Umutlu, Pelin Bengitöz. Return range and the cross-section of expected index returns in international stock markets[J]. Quantitative Finance and Economics, 2021, 5(3): 421-451. doi: 10.3934/QFE.2021019

    Related Papers:

  • This study examines the cross-sectional relation between return range and future returns for the first time in literature. We show that the return range can serve as a very practical measure of total volatility instead of standard deviation due to the range's high correlation with standard deviation and strong predictive ability. Range, standard deviation, and idiosyncratic volatility are cross-sectionally linked to future returns on indexes of small size, while earnings-to-price ratio and net share issuance predict returns of mid-cap and large-cap indexes, respectively. Maximum and minimum return effects along with the momentum effect are prevalent in returns of indexes of any size but stronger for small-cap indexes.



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    [1] Ang A, Hodrick R, Xing Y, et al. (2006) The cross-section of volatility and expected returns. J Financ 61: 259-299. doi: 10.1111/j.1540-6261.2006.00836.x
    [2] Ang A, Hodrick R, Xing Y, et al. (2009) High idiosyncratic volatility and low returns: international and further US evidence. J Financ Econ 91: 1-23. doi: 10.1016/j.jfineco.2007.12.005
    [3] Baca SP, Garbe BL, Weiss RA (2000) The rise of sector effects in major equity markets. Financ Anal J 56: 34-40. doi: 10.2469/faj.v56.n5.2388
    [4] Baker M, Bradley, B, Wurgler, J (2011) Benchmarks as limits to arbitrage: Understanding the low-volatility anomaly. Financ Anal J 67: 40-54. doi: 10.2469/faj.v67.n1.4
    [5] Bali TG, Cakici, N (2010) World market risk, country-specific risk and expected returns in international stock markets. J Bank Financ 34: 1152-1165. doi: 10.1016/j.jbankfin.2009.11.012
    [6] Bali TG, Cakici N, Whitelaw RF (2011) Maxing out: stocks as lotteries and the cross-section of expected returns. J Financ Econ 99: 427-446. doi: 10.1016/j.jfineco.2010.08.014
    [7] Bhojraj S, Swaminathan B (2006) Macromomentum: returns predictability in international equity indices. J Bus 79: 429-451. doi: 10.1086/497416
    [8] Boudoukh J, Richardson M, Whitelaw RF (1994) Industry returns and the Fisher effect. J Financ 49: 1595-1615. doi: 10.1111/j.1540-6261.1994.tb04774.x
    [9] Carhart MM (1997) On persistence in mutual fund performance. J Financ 52: 57-82. doi: 10.1111/j.1540-6261.1997.tb03808.x
    [10] Chan LKC, Jegadeesh N, Lakonishok J (1996) Momentum strategies. J Financ 51: 1681-1713. doi: 10.1111/j.1540-6261.1996.tb05222.x
    [11] Conrad J, Dittmar RF, Ghysels E (2013) Ex ante skewness and expected stock returns. J Financ 68: 85-124. doi: 10.1111/j.1540-6261.2012.01795.x
    [12] Fama EF, MacBeth JD (1973) Risk, return, and equilibrium: Empirical tests. J Polit Econ 81: 607-636. doi: 10.1086/260061
    [13] Fama EF, French KR (2008) Dissecting anomalies. J Financ 63: 1653-1678. doi: 10.1111/j.1540-6261.2008.01371.x
    [14] Fama EF, French KR (2015) A five-factor asset pricing model. J Financ Econ 116: 1-22. doi: 10.1016/j.jfineco.2014.10.010
    [15] Ferreira MA, Ferreira MA (2006) The importance of industry and country effects in the EMU equity markets. Eur Financ Manage 12: 341-373. doi: 10.1111/j.1354-7798.2006.00324.x
    [16] Frazzini A, Pedersen LH (2014) Betting against beta. J Financ Econ 111: 1-25. doi: 10.1016/j.jfineco.2013.10.005
    [17] Fu X, Arisoy YE, Shackleton MB, et al. (2016) Option-implied volatility measures and stock return predictability. J Deriv 24: 58-78. doi: 10.3905/jod.2016.24.1.058
    [18] Harvey CR, Siddique A (2000) Conditional skewness in asset pricing tests. J Financ 55: 1263-1295. doi: 10.1111/0022-1082.00247
    [19] Hueng CJ, Yau R (2013) Country-specific idiosyncratic risk and global equity index returns. Int Rev Econ Financ 25: 326-337. doi: 10.1016/j.iref.2012.07.014
    [20] Kim D (2012) Value premium across countries. J Portfolio Manage 38: 75-86. doi: 10.3905/jpm.2012.38.4.075
    [21] Liu M, Liu Q, Ma T (2011) The 52-week high momentum strategy in international stock markets. J Int Money Financ 30: 180-204. doi: 10.1016/j.jimonfin.2010.08.004
    [22] Malkiel BG, Xu Y (2004) Idiosyncratic risk and security returns. Available from: http://dx.doi.org/10.2139/ssrn.255303.
    [23] Merton RC (1987) A Simple model of capital market equilibrium with incomplete information. J Financ 42: 483-510. doi: 10.1111/j.1540-6261.1987.tb04565.x
    [24] Moerman GA (2008) Diversification in Euro area stock markets: Country versus industry. J Int Money Financ 27: 1122-1134. doi: 10.1016/j.jimonfin.2008.05.005
    [25] Moskowitz TJ, Grinblatt M (1999) Do industries explain momentum? J Financ 54: 1249-1290. doi: 10.1111/0022-1082.00146
    [26] Newey WK, West KD (1987) A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica 55: 703-708. doi: 10.2307/1913610
    [27] Phylaktis K, Xia L (2006) The changing roles of industry and country effects in the global equity markets. Eur J Financ 12: 627-648. doi: 10.1080/13518470500460202
    [28] Richards AJ (1997) Winner-loser reversals in national stock market indices: Can they be explained? J Financ 52: 2129-2144. doi: 10.1111/j.1540-6261.1997.tb02755.x
    [29] Scholes M, Williams J (1977) Estimating betas from nonsynchronous data. J Financ Econ 5: 309-327. doi: 10.1016/0304-405X(77)90041-1
    [30] Umutlu M, Altay Salih A, Akdeniz L (2010) Does ADR listing affect the dynamics of volatility in emerging markets? Financ a Uver-Czech J Econ Financ 60: 122-137.
    [31] Umutlu M, Bengitöz P (2020) The cross-section of industry equity returns and global tactical asset allocation across regions and industries. Int Rev Financ Anal 72: 101574. doi: 10.1016/j.irfa.2020.101574
    [32] Umutlu M, Gören Yargı S (2021) To diversify or not to diversify internationally? Financ Res Lett 102110
    [33] Zaremba A (2016) Investor sentiment, limits to arbitrage, and the performance of cross-country stock market anomalies. J Behav Experimental Financ 9: 136-163. doi: 10.1016/j.jbef.2015.11.007
    [34] Zaremba A (2019) The Cross Section of Country Equity Returns: A Review of Empirical Literature. J Risk Financ Manage 12: 165. doi: 10.3390/jrfm12040165
    [35] Zaremba A, Umutlu M, Karathanasopoulos A (2019) Alpha momentum and alpha reversal in country and industry equity indexes. J Empir Financ 53: 144-161. doi: 10.1016/j.jempfin.2019.07.003
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