کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7355472 | 1477788 | 2018 | 29 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Modeling and forecasting multifractal volatility established upon the heterogeneous market hypothesis
ترجمه فارسی عنوان
مدل سازی و پیش بینی نوسانات چند فاکتوریل بر پایه فرضیه بازار ناهمگن تأکید شد
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موضوعات مرتبط
علوم انسانی و اجتماعی
اقتصاد، اقتصادسنجی و امور مالی
اقتصاد و اقتصادسنجی
چکیده انگلیسی
We construct a new type of multifractal volatility models based on heterogeneous market hypothesis. Similar to the model setting of heterogeneous autoregressive model for realized volatility (HAR-RV), we replace the variables utilized in the HAR-RV model with daily, weekly and monthly multifractal volatility. To evaluate the performance of our new multifractal volatility models, we compare the volatility forecasting accuracy of our models to that of other traditional benchmarks. The model confidence set (MCS) test shows that, although the autoregressive fractionally integrated moving average models for realized volatility (ARFIMA-RV) are the best forecasting ones, under several loss functions, our new multifractal volatility models outperform other traditional ones. In addition, our new models survive the MCS test in many cases.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Review of Economics & Finance - Volume 54, March 2018, Pages 143-153
Journal: International Review of Economics & Finance - Volume 54, March 2018, Pages 143-153
نویسندگان
Qizhi Tao, Yu Wei, Jiapeng Liu, Ting Zhang,