Acknowledgement
Supported by : National Research Foundation of Korea
References
- Hormann S, Horvath L, Reeder R. A functional version of the ARCH model. Economet Theor 2013;29:267-288. https://doi.org/10.1017/S0266466612000345
- Aue A, Horvath L, Pellatt D. Functional generalized autoregressive conditional heteroskedasticity. J Time Ser Anal 2017;38:3-21. https://doi.org/10.1111/jtsa.12192
- Bollerslev T. Generalized autoregressive heteroskedasticity. J Econometrics 1986;31:307-327. https://doi.org/10.1016/0304-4076(86)90063-1
- Kim JY, Hwang SY. A threshold-asymmetric realized volatility for high frequency financial time series. Korean J Appl Stat 2018;31:205-216.
- Tsay RS. Multivariate time series analysis with R and financial application. John New York: John Wiley; 2014.
- Lee GJ, Hwang SY. Multivariate volatility for high-frequency financial series. Korean J Appl Stat 2017;30:169-180. https://doi.org/10.5351/KJAS.2017.30.1.169
- Tsay RS. Analysis of financial time series. 3rd Edition. New York: John Wiley; 2010.
- Yoon JE, Kim JM, Hwang SY. Functional ARCH (fARCH) for high-frequency time series: illustration. Korean J Appl Stat 2017;30:983-991.
- Yoon JE, Kim JM, Hwang SY. The fGARCH(1,1) as a functional volatility measure of ultra high frequency time series. Korean J Appl Stat 2018;31:667-675.
- Hansen PR, Lunde A. A forecast comparison of volatility models: does anything beat a GARCH(1,1)? J Appl Economet 2005;20:873-889. https://doi.org/10.1002/jae.800
- Engle RF. Dynamic conditional correlation: a simple class of multivariate generalized autoregressive conditional heteroskedasticity models. J Bus Econ Stat 2002;20:339-350. https://doi.org/10.1198/073500102288618487
- Jin MK, Yoon JE, Hwang SY. Choice of frequency via principal component in high-frequency multivariate volatility models. Korean J Appl Stat 2017;30:747-757. https://doi.org/10.5351/KJAS.2017.30.5.747
- Brockwell PJ, Davis RA. Time series : theory and methods. New York: Springer; 1991.
- Kowal DR, Matteson DS, Ruppert D. Functional autoregression for sparsely sampled data. J Bus Econ Stat 2018, in press.
- Hwang SY, Kim TY. Statistical issues on instrumental scores for non-likelihood stochastic models. QBS 2017;36:105-110.
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