EN
STEEL PRICE MODELLING WITH LEVY PROCESS
Öz
The aim of this study is to model steel price returns by Lévy process. The daily
LME Steel Billets Spot Prices between 04.01. 2010 and 31.10.2011 are analyzed
and AR[1] ~ GARCH[1,1] discrete model is found to be the best candidate taking
all indicators into account. Then the continuous analogue of the discrete model is
derived from the discrete model parameters. During the overall study, time
(pathwise), distributional and spectral analysis performed. Finally, it is shown that
the volatility simulated from both discrete and continuous models shows similar
volatility patterns. The results of the study could be utilized to predict the
behavior of future steel prices’ moves. In addition, the finding could be a good
reference specialist and researchers who are interested in steel market.
Anahtar Kelimeler
Kaynakça
- Barndorff-Nielsen, Ole E., Neil Shepherd (2001), “Non-Gaussian Ornstein
- Uhlenbeck Based Models and some of their Use in Financial Economics (with discussion)”, Journal of Royal Statistics Society Series B, Vol. 63, pp.167-241. Christian Kleiber and Samuel Kotz (2003), “Statistical Size Distributions in
- Economics and Actuarial Sciences”, Wiley Series in Probability and Statistics. Duan, Jin Chuan (1997), “Augmented GARCH (p,q) Process and Its Diffusion
- Limit”, Journal of Econometrics, Vol. 79, pp.97-127. Geman Hélyette (2005), “Commodities and Commodity Derivatives: Modelling and Pricing for Agriculturals, Metals and Energy”, Wiley Finance.
- Klüppelberg Claudia, Alexander Lindner and Ross Maller (2004), “A Continuous
- Time GARCH Process Driven by a Lévy Process: Stationary and Second Order Behaviour”, Journal of Applied Probability, Vol. 41, pp.601-622. Klüppelberg Claudia, Alexander Lindner and Ross Maller (2006), “Continuous
- Time Volatility Modelling: COGARCH versus Ornstein-Uhlenbeck Models”,(in: Yuri Kabanov, Robert Lipster and Jordan Stoyanov-Eds, From Stochastic Calculus to Mathematical Finance), Springer:Berlin, pp.393-419. Nelson, Daniels B. (1990), “ARCH Models as Diffusion Approximation”, Journal of Econometrics, Vol. 45, pp.7-38.
- Ross A. M., Gernot M. and Alex S. (2008), “GARCH Modelling in Continuous
Ayrıntılar
Birincil Dil
İngilizce
Konular
-
Bölüm
-
Yayımlanma Tarihi
1 Haziran 2012
Gönderilme Tarihi
1 Haziran 2012
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2012 Cilt: 4 Sayı: 1
APA
Kahraman, E., & Unal, G. (2012). STEEL PRICE MODELLING WITH LEVY PROCESS. International Journal of Economics and Finance Studies, 4(1), 101-110. https://izlik.org/JA95FF44FR
AMA
1.Kahraman E, Unal G. STEEL PRICE MODELLING WITH LEVY PROCESS. IJEFS. 2012;4(1):101-110. https://izlik.org/JA95FF44FR
Chicago
Kahraman, Emre, ve Gazanfer Unal. 2012. “STEEL PRICE MODELLING WITH LEVY PROCESS”. International Journal of Economics and Finance Studies 4 (1): 101-10. https://izlik.org/JA95FF44FR.
EndNote
Kahraman E, Unal G (01 Haziran 2012) STEEL PRICE MODELLING WITH LEVY PROCESS. International Journal of Economics and Finance Studies 4 1 101–110.
IEEE
[1]E. Kahraman ve G. Unal, “STEEL PRICE MODELLING WITH LEVY PROCESS”, IJEFS, c. 4, sy 1, ss. 101–110, Haz. 2012, [çevrimiçi]. Erişim adresi: https://izlik.org/JA95FF44FR
ISNAD
Kahraman, Emre - Unal, Gazanfer. “STEEL PRICE MODELLING WITH LEVY PROCESS”. International Journal of Economics and Finance Studies 4/1 (01 Haziran 2012): 101-110. https://izlik.org/JA95FF44FR.
JAMA
1.Kahraman E, Unal G. STEEL PRICE MODELLING WITH LEVY PROCESS. IJEFS. 2012;4:101–110.
MLA
Kahraman, Emre, ve Gazanfer Unal. “STEEL PRICE MODELLING WITH LEVY PROCESS”. International Journal of Economics and Finance Studies, c. 4, sy 1, Haziran 2012, ss. 101-10, https://izlik.org/JA95FF44FR.
Vancouver
1.Emre Kahraman, Gazanfer Unal. STEEL PRICE MODELLING WITH LEVY PROCESS. IJEFS [Internet]. 01 Haziran 2012;4(1):101-10. Erişim adresi: https://izlik.org/JA95FF44FR