Showing 1 - 10 of 15,825
seasonal data. Consumption and income series from (West-) Germany, United Kingdom, Japan and Sweden are investigated. The …
Persistent link: https://www.econbiz.de/10014193101
This paper uses a seasonal long-memory model to capture the behaviour of the US Industrial Production Index (IPI) over the period 1919Q1-2022Q4. This series is found to display a large value of the periodogram at the zero, long-run frequency, and to exhibit an order of integration around 1. When...
Persistent link: https://www.econbiz.de/10014427486
-linear VAR with threshold cointegration based on data from Germany, Japan, UK, and the U.S. Following a traditional comparative …
Persistent link: https://www.econbiz.de/10009735355
Persistent link: https://www.econbiz.de/10003778880
The present study compares the performance of the long memory FIGARCH model, with that of the short memory GARCH specification, in the forecasting of multi-period Value-at-Risk (VaR) and Expected Shortfall (ES) across 20 stock indices worldwide. The dataset is comprised of daily data covering...
Persistent link: https://www.econbiz.de/10012910119
-parametric estimation is impractical given commonly available predictive sample sizes. Instead, this paper derives the approximate …
Persistent link: https://www.econbiz.de/10003962215
-parametric estimation is impractical given commonly available predictive sample sizes. Instead, this paper derives the approximate …
Persistent link: https://www.econbiz.de/10012991097
-parametric estimation is impractical given commonly available predictive sample sizes. Instead, this paper derives the approximate …
Persistent link: https://www.econbiz.de/10014035724
portfolio (Bayer, Siemens and Volkswagen). Classical VaR estimation methodology such as exponential moving average (EMA) as well …
Persistent link: https://www.econbiz.de/10012966258
portfolio (Bayer, Siemens and Volkswagen). Classical V aR estimation methodology such as exponential moving average (EMA) as …
Persistent link: https://www.econbiz.de/10003636008