Arbeitspapier

The economic valuation of variance forecasts: An artificial option market approach

In this paper we compared two distinct volatility forecasting approaches. GARCH models were contrasted to the models which modelled proxies of volatility directly. More precisely, focus was put on the economic valuation of forecasting accuracy of one-day-ahead volatility forecasts. Profits from trading of one-day at-the-money straddles on the hypothetical (artificial) market were used for assessing the relative volatility forecasting accuracy. Our contribution lies in developing a novel approach to the economic valuation of the volatility forecasts - the artificial option market with a single market price - and its comparison with the established approaches. Further on, we compared the relative intra- and inter-group volatility forecasting accuracy of the competing model families. Finally, we measured the economic value of richer information provided by high-frequency data. To preview the results, we show that the economic valuation of volatility forecasts can bring a meaningful and robust ranking. Additionally, we show that this ranking is similar to the ranking implied by established statistical methods. Moreover, it was shown that modelling of volatility directly is strongly dependent on the volatility proxy in place. It was also shown, as a corollary, that the use of high frequency data to predict a future volatility is of considerable economic value.

Sprache
Englisch

Erschienen in
Series: IES Working Paper ; No. 09/2013

Klassifikation
Wirtschaft
Financial Econometrics
Thema
GARCH
realized volatility
economic loss function
volatility forecasting

Ereignis
Geistige Schöpfung
(wer)
Parrák, Radovan
Ereignis
Veröffentlichung
(wer)
Charles University in Prague, Institute of Economic Studies (IES)
(wo)
Prague
(wann)
2013

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Parrák, Radovan
  • Charles University in Prague, Institute of Economic Studies (IES)

Entstanden

  • 2013

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