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A Monte Carlo (MC) experiment is conducted to study the forecasting performance of a variety of volatility models under alternative data generating processes (DGPs). The models included in the MC study are the (Fractionally Integrated) Generalized Autoregressive Conditional Heteroskedasticity...
Persistent link: https://www.econbiz.de/10003932329
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We study the well-known multiplicative Lognormal cascade process in which the multiplication of Gaussian and Lognormally distributed random variables yields time series with intermittent bursts of activity. Due to the non-stationarity of this process and the combinatorial nature of such a...
Persistent link: https://www.econbiz.de/10009389845
Persistent link: https://www.econbiz.de/10011299266
This paper uses the Markov-switching multifractal (MSM) model and generalized autoregressive conditional heteroscedasticity (GARCH)-type models to forecast oil price volatility over the time periods from January 02, 1875 to December 31, 1895 and from January 03, 1977 to March 24, 2014. Based on...
Persistent link: https://www.econbiz.de/10010488966
tools of Random Matrix Theory (RMT) and Principal Component Analysis (PCA), our paper aims to extract latent information … embedded in the interactions between economic and business sentiment indices around the world. We find that: (i) The dynamics … collapse of the US housing market in 2007, can lead to a homogenization of the expectation structure around the world, as such …
Persistent link: https://www.econbiz.de/10011790790
High-frequency financial data are characterized by a set of ubiquitous statistical properties that prevail with surprising uniformity. While these 'stylized facts' have been well-known for decades, attempts at their behavioral explanation have remained scarce. However, recently a new branch of...
Persistent link: https://www.econbiz.de/10003715066
In this paper we consider daily financial data from various sources (stock market indices, foreign exchange rates and bonds) and analyze their multi-scaling properties by estimating the parameters of a Markov-switching multifractal model (MSM) with Lognormal volatility components. In order to...
Persistent link: https://www.econbiz.de/10003715073