Uncertainty, Spillovers, and Forecasts of the Realized Variance of Gold Returns

Using data for the group of G7 countries and China for the sample period 1996Q1 to 2020Q4, we study the role of uncertainty and spillovers for the out-of-sample forecasting of the realized variance of gold returns and its upside (good) and downside (bad) counterparts. We go beyond earlier research i...

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Main Authors: Rangan Gupta, Christian Pierdzioch
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Mathematical and Computational Applications
Subjects:
Online Access:https://www.mdpi.com/2297-8747/26/3/49
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author Rangan Gupta
Christian Pierdzioch
author_facet Rangan Gupta
Christian Pierdzioch
author_sort Rangan Gupta
collection DOAJ
description Using data for the group of G7 countries and China for the sample period 1996Q1 to 2020Q4, we study the role of uncertainty and spillovers for the out-of-sample forecasting of the realized variance of gold returns and its upside (good) and downside (bad) counterparts. We go beyond earlier research in that we do not focus exclusively on U.S.-based measures of uncertainty, and in that we account for international spillovers of uncertainty. Our results, based on the Lasso estimator, show that, across the various model configurations that we study, uncertainty has a more systematic effect on out-of-sample forecast accuracy than spillovers. Our results have important implications for investors in terms of, for example, pricing of related derivative securities and the development of portfolio-allocation strategies.
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spelling doaj.art-0286dbc479f54e47bf2168815d8930422023-11-22T14:07:03ZengMDPI AGMathematical and Computational Applications1300-686X2297-87472021-07-012634910.3390/mca26030049Uncertainty, Spillovers, and Forecasts of the Realized Variance of Gold ReturnsRangan Gupta0Christian Pierdzioch1Department of Economics, University of Pretoria, Private Bag X20, Hatfield 0028, South AfricaDepartment of Economics, Helmut Schmidt University, Holstenhofweg 85, P.O. Box 700822, 22008 Hamburg, GermanyUsing data for the group of G7 countries and China for the sample period 1996Q1 to 2020Q4, we study the role of uncertainty and spillovers for the out-of-sample forecasting of the realized variance of gold returns and its upside (good) and downside (bad) counterparts. We go beyond earlier research in that we do not focus exclusively on U.S.-based measures of uncertainty, and in that we account for international spillovers of uncertainty. Our results, based on the Lasso estimator, show that, across the various model configurations that we study, uncertainty has a more systematic effect on out-of-sample forecast accuracy than spillovers. Our results have important implications for investors in terms of, for example, pricing of related derivative securities and the development of portfolio-allocation strategies.https://www.mdpi.com/2297-8747/26/3/49uncertaintyspilloversrealized variancegoldforecasting
spellingShingle Rangan Gupta
Christian Pierdzioch
Uncertainty, Spillovers, and Forecasts of the Realized Variance of Gold Returns
Mathematical and Computational Applications
uncertainty
spillovers
realized variance
gold
forecasting
title Uncertainty, Spillovers, and Forecasts of the Realized Variance of Gold Returns
title_full Uncertainty, Spillovers, and Forecasts of the Realized Variance of Gold Returns
title_fullStr Uncertainty, Spillovers, and Forecasts of the Realized Variance of Gold Returns
title_full_unstemmed Uncertainty, Spillovers, and Forecasts of the Realized Variance of Gold Returns
title_short Uncertainty, Spillovers, and Forecasts of the Realized Variance of Gold Returns
title_sort uncertainty spillovers and forecasts of the realized variance of gold returns
topic uncertainty
spillovers
realized variance
gold
forecasting
url https://www.mdpi.com/2297-8747/26/3/49
work_keys_str_mv AT rangangupta uncertaintyspilloversandforecastsoftherealizedvarianceofgoldreturns
AT christianpierdzioch uncertaintyspilloversandforecastsoftherealizedvarianceofgoldreturns