References
- Amihud, Y., and C. Hurvich. 2004. Predictive regression: A reduced-bias estimation method. Journal of Financial and Quantitative Analysis 39 (4):813–41. doi:https://doi.org/10.1017/S0022109000003227.
- Cai, Z., and Y. Wang. 2014. Testing predictive regression models with nonstationary regressors. Journal of Econometrics 178:4–14. doi:https://doi.org/10.1016/j.jeconom.2013.08.002.
- Campbell, J. Y., and M. Yogo. 2006. Efficient tests of stock return predictability. Journal of Financial Economics 81 (1):27–60. doi:https://doi.org/10.1016/j.jfineco.2005.05.008.
- Chan, N. H., D. Li, and L. Peng. 2012. Toward a unified interval estimation of autoregressions. Econometric Theory 28 (3):705–17. doi:https://doi.org/10.1017/S0266466611000727.
- Demetrescu, M. 2014. Enhancing the local power of IVX-based tests in predictive regressions. Economics Letters 124 (2):269–73. doi:https://doi.org/10.1016/j.econlet.2014.05.032.
- Fei, Y. 2018. Limit theory for mildly interated process with intercept. Economics Letters 163:98–101. doi:https://doi.org/10.1016/j.econlet.2017.12.008.
- Hall, P., and C. C. Heyde. 1980. Martingale limit theory and its application. New York, NY: Academic Press.
- Hill, J. B., D. Li, and L. Peng. 2016. Uniform interval estimation for an AR(1) Process with AR Errors. Statistica Sinica 26:119–36. doi:https://doi.org/10.5705/ss.2014.252.
- Jansson, M., and M. J. Moreira. 2006. Optimal inference in regression models with nearly integrated regressors. Econometrica 74 (3):681–714. doi:https://doi.org/10.1111/j.1468-0262.2006.00679.x.
- Kostakis, A., T. Magdalinos, and M. P. Stamatogiannis. 2015. Robust econometric inference for stock return predictability. The Review of Financial Studies 28 (5):1506–53. doi:https://doi.org/10.1093/rfs/hhu139.
- Li, S., K. Wang, and Y. Ren. 2018. Robust estimation and empirical likelihood inference with exponential squared loss for panel data models. Economics Letters 164:19–23. doi:https://doi.org/10.1016/j.econlet.2017.12.029.
- Owen, A. 2001. Empirical likelihood. Boca Raton, FL: Chapman and Hall/CRC.
- Phillips, P. C. B. 2015. Pitfalls and possibilities in predictive regression. Journal of Financial Econometrics 13:521–55. doi:https://doi.org/10.1093/jjfinec/nbv014.
- Phillips, P. C. B., and T. Magdalinos. 2007. Limit theory for moderate deviations from a unit root. Journal of Econometrics 136 (1):115–30. doi:https://doi.org/10.1016/j.jeconom.2005.08.002.
- Qin, J., and J. Lawless. 1994. Empirical likelihood and general estimating equations. The Annals of Statistics 22 (1):300–25. doi:https://doi.org/10.1214/aos/1176325370.
- Stambaugh, R.F. 1999. Predictive regressions. Journal of Financial Economics 54 (3):375–421. doi:https://doi.org/10.1016/S0304-405X(99)00041-0.
- Zhu, F., Z. Cai, and L. Peng. 2014. Predictive regressions for macroeconomic data. The Annals of Applied Statistics 8 (1):577–94. doi:https://doi.org/10.1214/13-AOAS708.