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Pricing Crude Palm Oil Futures (FCPO) in Malaysia<br />

Evon Ong<br />

Supervisor: Dr. Hassilah Binti Salleh<br />

Bachelor of Science (Financial Mathematics)<br />

School of Informatics and Applied Mathematics<br />

In most of researches, it is found that incorporate more than one characteristics of<br />

agricultural commodities futures prices in the pricing model is outperformance due to<br />

these prices move in special characteristics. However, there is no similar research in<br />

pricing Malaysia’s Crude Palm Oil Futures (FCPO). Therefore, the purpose of this paper is<br />

to investigate the presence of stochastic volatility, price jumps and seasonality in daily<br />

FCPO prices for determining better FCPO pricing model. For that, daily FCPO log returns<br />

are examined by using GARCH(1,1) model and stochastic volatility (SV) model and then<br />

both models are compared to show SV model is better to forecast FCPO returns. Monthly<br />

volatilities used for seasonality analysis meanwhile Barndorff-Nielsen and Shephard (BNS)<br />

jump test conducted with realized variance and bipower variation. According to the<br />

results, stochastic volatility and seasonality are present in FCPO returns. Finally, this paper<br />

could help in providing better FCPO pricing model.<br />

803 | UMT UNDERGRADUATE RESEARCH DAY 2018

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