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研究生:陳浩天
研究生(外文):Kwanchai Vathitphund
論文名稱:泰國稻米的出口價格波動
論文名稱(外文):Export Price Volatility of Thailand Rice
指導教授:黃琮琪黃琮琪引用關係
口試委員:葉春淵張國益
口試日期:2016-07-29
學位類別:碩士
校院名稱:國立中興大學
系所名稱:應用經濟學系所
學門:社會及行為科學學門
學類:經濟學類
論文種類:學術論文
論文出版年:2016
畢業學年度:105
語文別:英文
論文頁數:58
中文關鍵詞:出口價格波動
外文關鍵詞:GARCH (11)EGARCHGJR-GARCH
相關次數:
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本研究探討泰國稻米每日出口價格波動與GARCH之最適模型,以泰國農業經濟協會2008年1月1日至2016年1月19日之每日稻米出口價格為數據。由GARCH(1,1),EGARCH及GJR-GARCH模型進行實證分析,從AIC和SBC之最低數據中表明GJR-GARCH模型為泰國稻米出口價格波動的最適模型。實驗結果發現,ARCH及GARCH 與泰國稻米每日出口價格波動呈顯著相關,表示前期泰國稻米之出口價格會影響當期出口價格之波動。最後,本研究也發現泰國稻米供應過剩,對泰國稻米的出口價格波動產生負面影響。
The aim of this study to find out the most appropriate GARCH model with
export price volatility of Thailand rice by using the daily data. The data come
from Official of Agricultural Economics of Thailand and starting from 1st January
2008 until 19th January 2016. The empirical analysis base on GARCH (1,1),
EGARCH, and GJR-GARCH models. From the Akaike information criterion
(AIC) and Schwartz criterion (SBC) suggest that GJR-GARCH model is the most
appropriate model with export price volatility of Thailand rice. From the
empirical result explains that there are statistically significant in ARCH and
GARCH terms. The both results mean that export price volatility of Thailand rice
in previous period can influence present period export price volatility of Thailand
rice. Finally, this study discover over supply of rice in Thailand during that period
because there is negative shock (bad news:  0) on volatility of export price of
Thailand rice.
CHAPTER I: INTRODUCTION ............................................. 1
1.1 Problem Statement ....................................................................... 1
1.2 Objectives .................................................................................... 2
1.3 Scope and Limitation ................................................................... 2
1.4 Research Procedure ..................................................................... 3
CHAPER II: BACKGROUND ................................................ 4
2.1 Rice Background ......................................................................... 4
2.2 Thailand Rice Background .......................................................... 4
2.3 World Rice Report ....................................................................... 6
2.3.1 World rice production ............................................................... 6
2.3.2 World rice market ..................................................................... 6
2.4 Thailand Rice Report ................................................................... 7
2.4.1 Thailand rice production ........................................................... 7
2.4.2 Thailand rice market ................................................................. 9
2.5 The Factor that Affect to Thailand’s Export .............................. 10
2.5.1 Thailand rice price .................................................................. 10
2.5.2 Rice policy .............................................................................. 11
2.5.3 Rice production and stock of competitor ................................ 11
2.5.4 Natural disaster of competitor and partner countries .............. 11
2.5.5 The outbreak of contagious diseases ...................................... 12
2.5.6 Foreign exchange rate ............................................................. 12
2.6 Data Analysis ............................................................................. 22
CHAPTER III: LITERATURE REVIEW ............................. 25
3.1 Literature Review ...................................................................... 25
CHAPTER IV: EMPIRICAL ANALYSIS ............................ 31
v
4.1 Time Series Analysis ................................................................. 31
4.1.1 Unit Root Test ........................................................................ 31
4.2 The Autoregressive Conditional Heteroskedasticity (ARCH) models ............................................................................................. 35
4.3 The Generalized Autoregressive Conditional Heteroskedasticity (GARCH) model ............................................................................. 37
4.3.1 The Exponential GARCH (EGARCH) model ........................ 39
4.3.2 The Glosten-Jagannathan-Runkle GARCH (GJR-GARCH) model ............................................................................................... 39
4.4 Data and Variables ..................................................................... 40
4.5 The Methodology Process ......................................................... 41
CHAPTER V: EMPIRICAL RESULT .................................. 43
5.1 Unit Root Test ............................................................................ 43
5.2 Models Comparing .................................................................... 45
5.3 Model Estimation ....................................................................... 45
CHAPTER VI: CONCLUSION ............................................ 48
6.1 Conclusion ................................................................................. 48
6.2 Suggestion .................................................................................. 49
References .............................................................................. 50
Appendixes ............................................................................ 53
vi
List of Figures
Figure 1.1 Rice Monthly Price 1985 – 2015 ................................ 1
Figure 1.2 Research procedure ..................................................... 3
Figure 2.1 Export price of Thailand rice for each periods ......... 23
Figure 2.2 Export price of Thailand rice .................................... 23
Figure 2.3 Return export price of Thailand rice ......................... 24
Figure 4.1 Procedure for testing for unit root tests .................... 34
Figure 4.2 The methodology process ......................................... 41
Figure 5.1 Export price of Thailand rice .................................... 47
vii
List of Tables
Table 2.1 World rice production 2010 to 2015 .......................... 13
Table 2.2 World rice balance 2010 to 2015 ............................... 14
Table 2.3 Rice consumption 2010 to 2015................................. 15
Table 2.4 World rice exporting volume 2010 to 2015 ............... 16
Table 2.5 World rice market share 2013 to 2015 ....................... 17
Table 2.6 World rice stock 2010 to 2015 ................................... 18
Table 2.7 Thailand rice field, production, production per acres of in and off season rice 2010 to 2015 ........................................... 19
Table 2.8 Thailand rice balance 2010 to 2015 ........................... 20
Table 2.9 Forecasting of quantity and value of Thailand export 2010 to 2015 .............................................................................. 20
Table 2.10 Farm price and exporting F.O.B. price 2010 to 2015 ................................................................................................... 21
Table 2.11 Thailand and competitor countries exporting F.O.B. price comparing 2014 to 2015 ................................................... 21
Table 5.1 Unit root test .............................................................. 44
Table 5.2 AIC & SBC comparing .............................................. 45
Table 5.3 GJR-GARCH model result ........................................ 46
Akpan, S. B., Udoh, E. J., & Umoren, a. a. (2012). Modeling the Dynamic Relationship between Food Crop Output Volatility and Its Determinants in Nigeria. Journal of Agricultural Science, 4(8), 36–47. http://doi.org/10.5539/jas.v4n8p36
Ashley, R. A. (2012). Fundamentals of Applied Econometrics (1st ed.). New Jersey: John Wiley & Sons, Inc.
Asian states feel rice pinch. (2008). Retrieved September 21, 2015, from http://www.bbc.com/news/world-europe-36658187
Assis, K. , Amran, A. , & Remali, Y. (2010). Forecasting Cocoa Bean Prices Using Univariate. Journal of Arts Science & Commerce, 1(October), 71–80.
Asteriou, D., & Hall, S. G. (2011). Applied Econometrics (2nd ed.). New York: Palgrave Macmillan.
Awoyemi, T. T. (2009). Explaining Rice Price Shocks in Nigeria: Implications for Policy Intervention. Journal of Economics and Rural Development, 1(1), 46–52.
Bachtiar, R. R., Chang, W., Anindita, R., & Mustadjab, M. (2014). Supply Response and Corn Price Volatility in Indonesia. Greener Journal of Business and Management Studies, 4(3), 58–69.
Baharom, A. H., Radam, A., Habibullah, M. S., & Hirnissa, M. T. (2009). The Volatility of Thai Rice Price. Munich Personal RePEc Archive, (14113), 70–77.
Chen, P. P., Chang, C. C.-L., Chen, C. C., & Mcaleer, M. (2010). Modeling the Effect of Oil Price on Global Fertilizer Prices. KIER Discussion Paper Series, 5(722), 722. http://doi.org/10.2139/ssrn.1677308
Childs, N. (2016). Rice. Retrieved September 22, 2015, from http://www.ers.usda.gov/topics/crops/rice.aspx
Choudhry, T., & Zhang, Y. Y. (2015). Forecasting the Daily Dynamic Hedge Ratios by GARCH Models: Evidence from the Agricultural Futures Markets. The European Journal of Finance, (May), 2–55. http://doi.org/10.1080/1351847X.2013.794744
Depken, C. A. (2001). Good News , Bad News and GARCH Effects in Stock Return Data. Journal of Applied Economics, IV(2), 313–327.
Economics Office oF Agricultural. (2015). Thailand’s Agricultural Products report 2015. Bangkok.
51
G. S. Maddala. (1992). Introduction to Econometrics (2nd ed.). New York: Macmillan Publishing Company.
Harris, R., & Sollis, R. (2003). Applied Time Series Modelling and Forecasting (1st ed.). Chichester: John Wiley & Sons Inc.
Kane, G. Q., Ambagna, J. J., & Mabah Tene, G. L. (2013). Determinants of Food Price Volatility in Cameroon. In Journées de recherches en sciences sociales (pp. 1–30). Grenoble: University Pierre Mendes-France.
Kennedy, P. (2008). A Guide to Econometrics. A Guide to Econometrics (6th ed., Vol. 6). Oxford: Blackwell Publishing Ltd. Retrieved from http://books.google.com/books?hl=en&lr=&id=B8I5SP69e4kC&oi=fnd&pg=PR11&dq=A+Guide+to+Econometrics&ots=w8Co4ihZWg&sig=584luJk2R7PqgipU5OLchhEBLYQ
Kim, H. S., & Baek, J. (2013). Assessing dynamics of crude oil import demand in Korea. Economic Modelling, 35, 260–263. http://doi.org/10.1016/j.econmod.2013.07.010
Kuwornu, J., Mensah-Bonsu, A., & Ibrahim, H. (2011). Analysis of Foodstuff Price Volatility in Ghana: Implications for Food Security. European Journal of Business and Management, 3(4), 100–119.
Lee, J. (2015). Price Transmission and Volatility Spillovers in Asian Rice Markets: Evidence from a Panel GARCH Model. In Western Hemispheric Trade Conference (pp. 310–327). Texas: Texas A&M International University.
MacKinnon, J. G. (1991). Critical Values for Co-Integration Tests. Long-Run Economic Relationships: Readings in Cointegration, (1227), 267–276. http://doi.org/10.1111/1468-0084.61.s1.14
Ministry of Commerce, T. P. and S. O. (2011). TPSO Weekly Analysis.
Ministry of Commerce, T. P. and S. O. (2013). TPSO Weekly Analysis.
Olson, M. (1989). A Microeconomic Approach to Macroeconomic Policy. American Economic Review, 79(2), 377–381. http://doi.org/papers2://publication/uuid/F60A7E29-C778-4F60-B179-C8EBE0005347
Saarce Elsye Hatane. (2011a). GARCH-Type Models on the Volatility of Indonesian Cocoa’s Spot Price Returns. Jurnal Manajemen Dan Kewirausahaan, 13(2), 117–123. http://doi.org/10.9744/jmk.13.2.117-123
Saarce Elsye Hatane. (2011b). The Predictability of GARCH-Type Models on the Returns Volatility of Primary Indonesian Exported Agricultural Commodities. Jurnal Akuntansi Dan Keuangan, 13(2), 87–97. Retrieved
52
from http://puslit2.petra.ac.id/ejournal/index.php/aku/article/view/18460
Slayton, T., & Slayton, B. T. (2009). Rice Crisis Forensics: How Asian Governments Carelessly Set the World Rice Market on Fire. Development.
Sukati, M. (2013). Measuring Maize Price Volatility in Swaziland using ARCH/GARCH approach. Munich Personal RePEc Archive, (61160).
Tharcisse, N., & Kayitakire, F. (2013). Measuring Rice Price Volatility and Transmission in West Africa : How Important are Magnitudes of Transmission Across Countries ? In Ecomod2013 (pp. 1–30). Prague,: European Commission.
Todsadee, A., Kameyama, H., & Ito, S. (2014). Price Volatility of Grains : Relationship with Crude Oil Prices using CCC-GARCH Model. American Journal of Economics and Business Administration, 6(4), 138–142.
Warr, P. G., & Wollmer, F. J. (2007). Testing the small‐country assumption: Thailand’s rice exports. Journal of the Asia Pacific Economy, 2(2), 133–143. Retrieved from http://www.tandfonline.com/doi/abs/10.1080/13547869708724612?journalCode=rjap20#.VkIaWiZahE4.mendeley
Wikipedia. (2016). Rice. Retrieved September 21, 2015, from https://en.wikipedia.org/wiki/Rice
Xu, J. (1999). Modeling Shanghai stock market volatility. Annals of Operations Research, 87, 141–152. Retrieved from ://000080349200010
Ziramba, E. (2010). Price and income elasticities of crude oil import demand in South Africa: A cointegration analysis. Energy Policy, 38(12), 7844–7849. http://doi.org/10.1016/j.enpol.2010.08.044
Zumbach, G. (2013). Discrete Time Series, Processes, and Applications in Finance (1st ed.). New York: Springer-Verlag Berlin Heidelberg
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