Crato, Nuno; de Lima, Pedro J. F. Long-range dependence in the conditional variance of stock returns. (English) Zbl 0800.62791 Econ. Lett. 45, No. 3, 281-285 (1994). Cited in 23 Documents MSC: 62P20 Applications of statistics to economics PDF BibTeX XML Cite \textit{N. Crato} and \textit{P. J. F. de Lima}, Econ. Lett. 45, No. 3, 281--285 (1994; Zbl 0800.62791) Full Text: DOI References: [1] Bollerslev, T., Generalized autoregressive conditional heteroskedasticity, Journal of Econometrics, 31, 307-327 (1986) · Zbl 0616.62119 [2] Bollerslev, T.; Engle, R. F., Common persistence in conditional variances, Econometrica, 61, 167-186 (1993) · Zbl 0782.62102 [3] de Lima, P. F.; Crato, N., Long-memory in stock returns and volatilities (1993), paper presented at the San Francisco Joint Statistical Meeting, August 1993, forthcoming in the proceedings of the Business and Economics Statistics Section. [4] Diebold, F. X.; Rudebusch, G. D., Long memory and persistence in aggregate output, Journal of Monetary Economics, 24, 189-209 (1989) [5] Geweke, J.; Porter-Hudak, S., The estimation and application of long memory time series models, Journals of Time Series Analysis, 4, 221-238 (1983) · Zbl 0534.62062 [6] Hurst, H. E., Long-term storage capacity of reservoirs, Transactions of the American Society of Civil Engineers, 116, 770-808 (1951) [7] Lo, A. W., Long-term memory in stock market prices, Econometrica, 59, 1279-1313 (1991) · Zbl 0781.90023 [8] Robinson, P. M., Long-periodogram regression of time series with long range dependence (1993), London School of Economics · Zbl 0838.62085 [9] Schwert, G. W.; Seguin, P. J., Heteroskedasticity in stock returns, The Journal of Finance, 45, 1129-1155 (1990) This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.