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Research Articles

Risk vs Upside uncertainty: application of quantile regression in investment analysis

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Pages 264-284 | Received 05 Jan 2021, Accepted 05 Jul 2021, Published online: 22 Jul 2021

References

  • Ali, F., R. He, and Y. Jiang. 2018. Size, value and business cycle variables. The three-factor model and future economic growth: Evidence from an emerging market. Economies 6(1): 14. doi:10.3390/economies6010014.
  • Allen, D.E., P. Gerrans, A.K. Singh, and R. Powell. 2009. Quantile regression: Its application in investment analysis. JASSA-The Finsia Journal of Applied Finance 1(4): 7–12.
  • Allen, D.E., and A.K. Singh. 2009. Minimizing loss at times of financial crisis: Quantile regression as a tool for portfolio investment decisions. http://www.ecu.edu.au/__data/assets/pdf_file/0014/40433/wp0912da.pdf
  • Ang, A., J. Chen, and Y. Xing. 2006. Downside risk. Review of Financial Studies 19(4): 1191–239. doi:10.1093/rfs/hhj035.
  • Atkins, A.B., and P. Ng. 2014. Refining our understanding of beta through quantile regressions. Journal of Risk and Financial Management 7(2): 67–79. doi:10.3390/jrfm7020067.
  • Ayub, U., S. Kausar, U. Noreen, M. Zakaria, and I.A. Jadoon. 2020. Downside risk-based six-factor capital asset pricing model (CAPM): A new paradigm in asset pricing. Sustainability 12(17): 6756. doi:10.3390/su12176756.
  • Azimli, A. 2020. The impact of COVID-19 on the degree of dependence and structure of risk-return relationship: A quantile regression approach. Finance Research Letters 36: 101648. doi:10.1016/j.frl.2020.101648.
  • Barnes, M.L., and A.W. Hughes. 2002. A quantile regression analysis of the cross section of stock market returns. Working Paper 02-2, Federal Reserve Bank of Boston.
  • Baruník, J., and F. Cech. 2021. Measurement of common risks in tails: A panel quantile regression model for financial returns. Journal of Financial Markets 52: 100562. doi:10.1016/j.finmar.2020.100562.
  • Bhardwaj, P., and A. Kumar. 2020. Determinants of firm-level investment in India: Does size matter? Macroeconomics and Finance in Emerging Market Economies 13(2): 140–60. doi:10.1080/17520843.2019.1667848.
  • Black, F., M.C. Jensen, and M. Scholes. 1972. The capital asset pricing model: Some empirical test. In Studies in the theory of capital market,edited by Michael Jensen, 79-121. New York: Praeger Publishers Inc.
  • Boscovich, R.J. 1757. De litteraria expeditione per pontificiam ditionem, et synopsis amplioris operis, ac habentur plura ejus ex exemplaria etiam sensorum impessa. Bononiensi Scientiarum Et Artum Instuto Atque Academia Commentarii 4: 353–96.
  • Breeden, D.T. 1979. An intertemporal asset pricing model with stochastic consumption and investment. Journal of Finance and Economics 7(3): 265–96. doi:10.1016/0304-405X(79)90016-3.
  • Buchinsky, M. 1998. Recent advances in quantile regression models: A practical guideline for empirical research. Journal of Human Resources 33(1): 88–126. doi:10.2307/146316.
  • Chiang, T.C., and J. Li. 2012. Stock returns and risk: Evidence from quantile regression analysis. Journal of Risk and Financial Management 5(1): 20–58. doi:10.3390/jrfm5010020.
  • de la O González, M., and F. Jareño. 2019. Testing extensions of Fama and French models: A quantile regression approach. The Quarterly Review of Economics and Finance 71(C): 188–204. doi:10.1016/j.qref.2018.08.004.
  • DeGiorgi, E., and T. Post. 2009. Second-order stochastic dominance, reward-risk portfolio selection, and the CAPM. Journal of Finance and Quantitative Analysis 43(2): 525–46. doi:10.1017/S0022109000003616.
  • Dong, X., C. Li, and S.M. Yoon. 2020. Asymmetric dependence structures for regional stock markets: An unconditional quantile regression approach. The North American Journal of Economics and Finance 52: 101111. doi:10.1016/j.najef.2019.101111.
  • Durai, R.S. 2020. Fundamental beta and portfolio performance: Evidence from an emerging market. Macroeconomics and Finance in Emerging Market Economies 13(3): 264–75. doi:10.1080/17520843.2020.1760913.
  • Dutta, S., and S. Biswas. 2017. Extreme quantile estimation based on financial time series. Communications in Statistics-Simulation and Computation 46(6): 4226–43. doi:10.1080/03610918.2015.1112908.
  • Fama, E., and R. Macbeth. 1973. Risk, return and equilibrium: Empirical tests. Journal of Political Economy 81(3): 607–36. doi:10.1086/260061.
  • Fattouh, B., P. Scaramozzino, and L. Harris. 2005. Capital structure in South Korea: A quantile regression approach. Journal of Development Economics 76(1): 231–50. doi:10.1016/j.jdeveco.2003.12.014.
  • Ghysels, E., P. Santa-Clara, and R. Valkanov. 2005. There is a risk-return tradeoff after all. Journal of Financial Economics 76(3): 509–48. doi:10.1016/j.jfineco.2004.03.008.
  • Gowlland, C., Z. Xiao, and Q. Zeng. 2009. Beyond the central tendency: Quantile regression as a tool in quantitative investing. The Journal of Portfolio Management 35(3): 106–19. doi:10.3905/JPM.2009.35.3.106.
  • Hasnaoui, H., and I. Fatnassi. 2014. Time-varying beta and the subprime financial crisis: Evidence from US industrial sectors. Journal of Applied Business Research (JABR) 30(5): 1465–76. doi:10.19030/jabr.v30i5.8799.
  • Ibrahim, Y., and I. Arshad. 2018. Examining the impact of product involvement, subjective norm and perceived behavioral control on investment intentions of individual investors in Pakistan. Investment Management and Financial Innovations 14(4): 181–93. doi:10.21511/imfi.14(4).2017.15.
  • Iqbal, J., S. Azher, and A. Ijza. 2010. “Predictive ability of value at risk methods: Evidence from the Pakistan Stock Exchange-100 Index.” Retrieved from http://mpra.ub.uni-muenchen.de/23752/
  • Kahneman, D., and A. Tversky. 1979. Prospect theory: An analysis of decision under risk. Econometrica 47(2): 263–91. doi:10.2307/1914185.
  • Kannadhasan, M., and D. Das. 2020. Do Asian emerging stock markets react to international economic policy uncertainty and geopolitical risk alike? A quantile regression approach. Finance Research Letters 34: 101276. doi:10.1016/j.frl.2019.08.024.
  • Koenker, R. 2000. Galton, Edgeworth, Frisch, and prospects for quantile regression in econometrics. Journal of Econometrics 95(2): 347–74. doi:10.1016/S0304-4076(99)00043-3.
  • Koenker, R., and G. Bassett. 1978. Regression quantiles. Econometrica 46(1): 33–50. doi:10.2307/1913643.
  • Koenker, R., and K.F. Hallock. 2001. Quantile regression. The Journal of Economic Perspectives 15(4): 143–56. doi:10.1257/jep.15.4.143.
  • Koenker, R., and Z. Xiao. 2006. Quantile autoregression. Journal of the American Statistical Association 101(475): 980–90. doi:10.1198/016214506000000672.
  • Kubota, K., and H. Takehara. 2018. Does the Fama and French five‐factor model work well in Japan? International Review of Finance 18(1): 137–46. doi:10.1111/irfi.12126.
  • Le, T.D., and D.T. Nguyen. 2020. Capital structure and bank profitability in Vietnam: A quantile regression approach. Journal of Risk and Financial Management 13(8): 168. doi:10.3390/jrfm13080168.
  • Lee, B.S., and L. Li. 2016. The idiosyncratic risk-return relation: A quantile regression approach based on the prospect theory. Journal of Behavioral Finance 17(2): 124–43. doi:10.1080/15427560.2016.1133624.
  • Lettau, M., and S. Ludvigson. 2001. Consumption, aggregate wealth, returns. Journal of Finance 56(3): 815–50. doi:10.1111/0022-1082.00347.
  • Lintner, J. 1965. The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets. Review of Economics and Statistics 47(1): 13–37. doi:10.2307/1924119.
  • Longstaff, F. 1989. Temporal aggregation and the continuous-time capital asset pricing model. Journal of Finance 44(4): 871–87. doi:10.1111/j.1540-6261.1989.tb02628.x.
  • Ma, L., and L. Pohlman. 2008. Return forecasts and optimal portfolio construction: A quantile regression approach. The European Journal of Finance 14(5): 409–25. doi:10.1080/13518470802042369.
  • Machado, J.A.F., and J. Sousa. 2006. Identifying asset price booms and busts with quantile regressions. http://www.bportugal.pt/en-US/BdP%20Publications%20Research/WP200608.pdf
  • Maiti, M. 2019. OLS versus quantile regression in extreme distributions. Contaduría y administración 64(2): 12.
  • Markowitz, H. 1952. Portfolio selection. The Journal of Finance 7(1): 77–91.
  • Merton, R.C. 1973. An intertemporal capital asset pricing model. Econometrica 41(5): 867–87. doi:10.2307/1913811.
  • Naifar, N. 2016. Do global risk factors and macroeconomic conditions affect global Islamic index dynamics? A quantile regression approach. The Quarterly Review of Economics and Finance 61: 29–39. doi:10.1016/j.qref.2015.10.004.
  • Reboredo, J.C., and N. Naifar. 2017. Do Islamic bond (sukuk) prices reflect financial and policy uncertainty? A quantile regression approach. Emerging Markets Finance and Trade 53(7): 1535–46. doi:10.1080/1540496X.2016.1256197.
  • Ross, S.A. 1976. The arbitrage theory of capital asset pricing. Journal of Economic Theory 13(3): 341–60. doi:10.1016/0022-0531(76)90046-6.
  • Shafique, A., U. Ayub, and M. Zakaria. 2019. Don’t let the Greed catch you! Pleonexia rule applied to Pakistan stock exchange. Physica A: Statistical Mechanics and Its Applications 524: 157–68. doi:10.1016/j.physa.2019.04.048.
  • Sharpe, W.F. 1964. Capital asset prices: A theory of market equilibrium under conditions of risk. Journal of Finance 19(3): 425–42.
  • Shim, J. 2017. Does diversification drive down risk-adjusted returns? A quantile regression approach. Asia-Pacific Journal of Risk and Insurance 11(2): 1–32. doi:10.1515/apjri-2016-0015.
  • Singh, B.P., and M. Kannadhasan. 2020. Corruption and capital structure in emerging markets: A panel quantile regression approach. Journal of Behavioral and Experimental Finance 28: 100417. doi:10.1016/j.jbef.2020.100417.
  • Škrinjarić, T., and M. Slišković. 2020. Revisiting the CAPM model with quantile regression: Creating investment strategies on the Zagreb Stock Exchange. International Journal of Economics and Business Research 19(3): 266–89. doi:10.1504/IJEBR.2020.106527.
  • Zafar, Z., and D.A. Siddiqui. 2020. The effect of uncertainty on stock returns and risk-returns (Volatility) relationship across military and democratic regimes in Pakistan. Marketing and Branding Research 7: 24–46.

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