Sains Malaysiana 38(4)(2009):
567–575
Financial
Risk Evaluations in Malaysian Stock Exchange using Extreme-Value-Theory and Component-ARCH Model
(Penilai Risiko Kewangan Bursa Saham
Malaysia dengan Penggunaan
Teori-Nilai-Melampau dan Model Komponen-ARCH)
Chin Wen Cheong*
Faculty of Information Technology
Multimedia University, 63100 Cyberjaya, Selangor D.E., Malaysia
Zaidi Isa
Faculty of Science and Technology
Universiti Kebangsaan Malaysia 43600 Bangi, Selangor D.E., Malaysia
Abu Hassan Shaari Mohd Nor
Faculty of Economics and Business, Universiti Kebangsaan Malaysia
43600 Bangi, Selangor D.E., Malaysia
Received: 11 August 2008 / Accepted: 16 September 2008
ABSTRACT
This study
investigates the value-at-risk (VaR) using nonlinear time-varying volatility (ARCH model) and extreme- value-theory (EVT) methodologies. Similar VaR estimation and
prediction are observes under the EVT and heavy-tailed long-memory ARCH approaches. The empirical results evidence the EVT-based VaR are more accurate but only at higher
quantiles. It is also found that EVT approach is able to provide a convenient framework for asymmetric
properties in both the lower and upper tails which implies that the risk and
reward are not equally likely for the short- and long-trading positions in
Malaysian stock market.
Keywords: ARCH; heavy-tail distribution; long-persistence
volatility; value-at-risk
ABSTRAK
Kajian ini
dijalankan untuk menentukan value-at-risk (VaR) dengan menggunakan model ARCH dan model teori-nilai- melampau (EVT). Keserupaan nilai-nilai
pengganggaran dan peramalan dicerap di bawah kedua-dua metodologi tersebut. Keputusan empirik mendapati VaR berdasarkan EVT adalah lebih tepat tetapi hanya
pada kuantil yang tinggi. Adalah juga didapati
pendekatan EVT berkebolehan menyediakan
satu kerangka yang sesuai bagi menangani asimetrik di kedua-dua taburan hujung
di mana risiko dan ganjaran adalah tidak setara bagi posisi perdagangan jangka
pendek dan panjang di bursa saham Malaysia.
Kata kunci: ARCH; kesan kegigihan kemeruapan; taburan hujung berat;
value-at-risk
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*Corresponding author; email: wcchin@mmu.edu.my
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