Forecasting Volatility of Gold Price Using Markov Regime Switching and Trading Strategy - Journal of Mathematical Finance

JMF > Vol.2 No.1, February 2012

Journal of Mathematical Finance

Volume 2, Issue 1 (February 2012)

ISSN Print: 2162-2434 ISSN Online: 2162-2442

Google-based Impact Factor: 0.87 Citations h5-index & Ranking

Forecasting Volatility of Gold Price Using Markov Regime Switching and Trading Strategy ()

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DOI: 10.4236/jmf.2012.21014 9,476 Downloads 22,747 Views Citations

Author(s)

Nop Sopipan, Pairote Sattayatham, Bhusana Premanode

Affiliation(s)

Institute of Biomedical Engineering, Imperial College South Kensington Campus, Kensington, London.
School of Mathematics Suranaree University of Technology, Nakhon Ratchasima, Thailand.

ABSTRACT

In this paper, we forecast the volatility of gold prices using Markov Regime Switching GARCH (MRS-GARCH) models. These models allow volatility to have different dynamics according to unobserved regime variables. The main purpose of this paper is to find out whether MRS-GARCH models are an improvement on the GARCH type models in terms of modeling and forecasting gold price volatility. The MRS-GARCH is best performance model for gold price volatility in some loss function. Moreover, we forecast closing prices of gold price to trade future contract. MRS-GARCH got the most cumulative return same GJR model.

KEYWORDS

Forecasting; Volatility; Gold Price; Markov Regime Switching

Share and Cite:

N. Sopipan, P. Sattayatham and B. Premanode, "Forecasting Volatility of Gold Price Using Markov Regime Switching and Trading Strategy," Journal of Mathematical Finance, Vol. 2 No. 1, 2012, pp. 121-131. doi: 10.4236/jmf.2012.21014.

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