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Research Papers

Targeting market neutrality

, , &
Pages 437-451 | Received 15 Nov 2017, Accepted 01 May 2018, Published online: 01 Aug 2018

References

  • Andersen, T.G., Bollerslev, T., Diebold, F.X. and Labys, P., Modeling and forecasting realized volatility. Econometrica, 2003, 71, 579–625. doi: 10.1111/1468-0262.00418
  • Andersen, T.G., Bollerslev, T., Diebold, F.X. and Wu, J., A framework for exploring the macroeconomic determinants of systematic risk. Am. Econ. Rev., 2005, 95, 398–404. doi: 10.1257/000282805774669574
  • Andersen, T.G., Bollerslev, T., Diebold, F.X. and Wu, G., Realized beta: Persistence and predictability. In Advances in Econometrics: Econometric Analysis of Financial and Economic Time Series, edited by T.B. Fomby and D. Terrell, pp. 1–40, 2006 (Elsevier Science B.V.: Amsterdam).
  • Asness, C.S., Krail, R.J. and Liew, J.M., Do hedge funds hedge? J. Portfolio Manage., 2001, 28, 6–19. doi: 10.3905/jpm.2001.319819
  • Bali, T.G., Brown, S.J. and Caglayan, M.O., Systematic risk and the cross section of hedge fund returns. J. Financ. Econ., 2012, 106, 114–131. doi: 10.1016/j.jfineco.2012.05.005
  • Bali, T.G., Engle, R.F. and Tang, Y., Dynamic conditional beta is alive and well in the cross section of daily stock returns. Manage. Sci., 2017, 63, 3760–3779. doi: 10.1287/mnsc.2016.2536
  • Barndorff-Nielsen, O.E. and Shephard, N., Econometric analysis of realized covariation: High frequency based covariance, regression, and correlation in financial economics. Econometrica, 2004, 72, 885–925. doi: 10.1111/j.1468-0262.2004.00515.x
  • Cenesizoglu, T., Liu, Q., Reeves, J.J. and Wu, H., Monthly beta forecasting with low-, medium- and high-frequency stock returns. J. Forecast., 2016, 35, 528–541. doi: 10.1002/for.2396
  • Chang, B., Christoffersen, P., Jacobs, K. and Vainberg, G., Option-implied measures of equity risk. Rev. Financ., 2012, 16, 385–428. doi: 10.1093/rof/rfq029
  • Corsi, F., A simple approximate long-memory model of realized volatility. J. Finan. Econom., 2009, 7, 174–196. doi: 10.1093/jjfinec/nbp001
  • Engle, R.F., Dynamic conditional correlation: A simple class of multivariate generalized autoregressive conditional heteroskedasticity models. J. Bus. Econ. Statist., 2002, 20, 339–350. doi: 10.1198/073500102288618487
  • Epps, T.W., Comovements in stock prices in the very short run. J. Amer. Statist. Assoc., 1979, 74, 291–298.
  • Fleming, J., Kirby, C. and Ostdiek, B., The economic value of volatility timing. J. Finance, 2001, 56, 329–352. doi: 10.1111/0022-1082.00327
  • Fleming, J., Kirby, C. and Ostdiek, B., The economic value of volatility timing using ‘Realized’ volatility. J. Financ. Econ., 2003, 67, 473–509. doi: 10.1016/S0304-405X(02)00259-3
  • Ghysels, E. and Jacquier, E., Market beta dynamics and portfolio efficiency. Working Paper, HEC Montreal, 2006.
  • Green, K.C. and Armstrong, J.S., Simple versus complex forecasting: The evidence. J. Bus. Res., 2015, 68, 1678–1685. doi: 10.1016/j.jbusres.2015.03.026
  • Hocquard, A., Ng, S. and Papageorgiou, N., A constant-volatility framework for managing tail risk. J. Portfolio Manage., 2013, 39, 28–40. doi: 10.3905/jpm.2013.39.2.028
  • Hooper, V.J., Ng, K. and Reeves, J.J., Quarterly beta forecasting: An evaluation. Int. J. Forecast., 2008, 24, 480–489. doi: 10.1016/j.ijforecast.2008.03.005
  • Lintner, J., The valuation of risk assets and the selection of risky investments in stock portfolios and capital budgets. Rev. Econ. Statist., 1965, 47, 13–37. doi: 10.2307/1924119
  • Liu, Q., On portfolio optimization: How and when do we benefit from high-frequency data. J. Appl. Econom., 2009, 24, 560–582. doi: 10.1002/jae.1062
  • Papageorgiou, N., Reeves, J.J. and Sherris, M., Equity investing with targeted constant volatility exposure. Working Paper, UNSW Business School, University of New South Wales, 2015.
  • Papageorgiou, N., Reeves, J.J. and Xie, X., Betas and the myth of market neutrality. Int. J. Forecast., 2016, 32, 548–558. doi: 10.1016/j.ijforecast.2015.09.005
  • Patton, A.J., Are ‘Market Neutral’ hedge funds really market neutral?. Rev. Financial Stud., 2009, 22, 2295–2330. doi: 10.1093/rfs/hhn113
  • Reeves, J.J. and Wu, H., Constant vs. time-varying beta models: Further forecast evaluation. J. Forecast., 2013, 32, 256–266. doi: 10.1002/for.1268
  • Sharpe, W.F., Capital asset prices: A theory of market equilibrium under conditions of risk. J. Finance, 1964, 19, 425–442.
  • Todorov, V. and Bollerslev, T., Jumps and betas: A new framework for disentangling and estimating systematic risks. J. Econom., 2010, 157, 220–235. doi: 10.1016/j.jeconom.2009.11.010

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