scholarly journals Forecasting Realized Volatility of International REITs:The Role of Realized Skewness and Realized Kurtosis †

2021 ◽  
Author(s):  
Matteo Bonato ◽  
Oğuzhan Çepni ◽  
Rangan Gupta ◽  
Christian Pierdzioch
Keyword(s):  
Author(s):  
Elie Bouri ◽  
Konstantinos Gkillas ◽  
Rangan Gupta ◽  
Christian Pierdzioch

2021 ◽  
Vol 144 (3-4) ◽  
pp. 1173-1180
Author(s):  
Elie Bouri ◽  
Rangan Gupta ◽  
Christian Pierdzioch ◽  
Afees A. Salisu

AbstractWe forecast monthly realized volatility (RV) of the oil price based on an extended heterogenous autoregressive (HAR)-RV model that incorporates the role of the El Niño Southern Oscillation (ENSO), as captured by the Equatorial Southern Oscillation Index (EQSOI). Based on the period covering 1986 January to 2020 December and studying various rolling-estimation windows and forecast horizons, we find that the EQSOI has predictive value for oil-price RV particularly at forecast horizons from 2 to 4 years, and for rolling-estimation windows of length 4 to 6 years. We show that this result holds not only based on standard tests of out-of-sample predictability, but also under an asymmetric loss function.


2021 ◽  
pp. 2150008
Author(s):  
SISA SHIBA ◽  
RANGAN GUPTA

This paper aims to examine the predictive power of the daily newspaper-based index uncertainty related to infectious diseases (EMVID) for the US Treasury securities’ realized volatility (RV) using the heterogonous autoregressive volatility (HAV-RV) model. In our out-of-sample forecast, we find strong significant evidence on the role of the EMVID index in forecasting the volatility of the US Treasury securities in the short-, medium- and long-run horizons except for the US 2-Year Treasury-Note (T-Note) Futures. Assessing the EMVID index role during the COVID-19 episode, we find that even in this short period, the index role in predicting the US Treasury securities is highly significant. These findings have important implications for portfolio managers and investors in times of unprecedented levels of uncertainty resulting from epidemic and pandemic diseases.


2014 ◽  
Vol 122 (2) ◽  
pp. 111-115 ◽  
Author(s):  
Michael Souček ◽  
Neda Todorova

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