IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/91801.html

Investigating the causal relationship between exchange rate variability and palm oil export: evidence from Malaysia based on ARDL and nonlinear ARDL approaches

Author

Listed:
  • Lee, Kam Weng
  • Masih, Mansur

Abstract

Exchange rate is seen as an important economic variable that affects Malaysia’s palm oil export, which the policy maker may interfere in order to ensure that it maintains its position as one of the major palm oil exporters in the world. Nevertheless, the lead-lag relationship between exchange rate and palm oil export is unclear. Similarly, it is unclear whether there exists a long run asymmetric relationship between exchange rate and palm oil export. Therefore, this study aims to investigate the lead-lag relationship between exchange rate variability and palm oil export in Malaysia and whether the relationship between the two is linear symmetric or otherwise. This study employs ARDL, VECM and VDC techniques and further extends the previous research by adopting a recent technique which is Non-linear ARDL (NARDL) by using the data extracted over the period of 2008:1 to 2017:12 from Malaysian Palm Oil Council and DataStream. Based on this study, it is found that exchange rate is the exogenous variable, while palm oil export is the endogenous variable. Further, there exists a long run asymmetric relationship between exchange rate and palm oil export. Based on such findings, it is important to note that although the exchange rate is the most exogenous variable, policy maker could, to some extent, interfere in the exchange rate regime to manipulate the palm oil export and the policy maker should take into consideration the nonlinear asymmetric relationship between them in designing a suitable policy.

Suggested Citation

  • Lee, Kam Weng & Masih, Mansur, 2018. "Investigating the causal relationship between exchange rate variability and palm oil export: evidence from Malaysia based on ARDL and nonlinear ARDL approaches," MPRA Paper 91801, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:91801
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/91801/2/MPRA_paper_91801.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aliyu, Shehu Usman Rano, 2009. "Impact of Oil Price Shock and Exchange Rate Volatility on Economic Growth in Nigeria: An Empirical Investigation," MPRA Paper 16319, University Library of Munich, Germany, revised 10 Jun 2009.
    2. Fang, WenShwo & Lai, YiHao & Miller, Stephen M., 2009. "Does exchange rate risk affect exports asymmetrically? Asian evidence," Journal of International Money and Finance, Elsevier, vol. 28(2), pages 215-239, March.
    3. Anthony N. Rezitis, 2015. "Empirical Analysis of Agricultural Commodity Prices, Crude Oil Prices and US Dollar Exchange Rates using Panel Data Econometric Methods," International Journal of Energy Economics and Policy, Econjournals, vol. 5(3), pages 851-868.
    4. Anthony N. Rezitis, 2015. "The relationship between agricultural commodity prices, crude oil prices and US dollar exchange rates: a panel VAR approach and causality analysis," International Review of Applied Economics, Taylor & Francis Journals, vol. 29(3), pages 403-434, May.
    5. Ionel Bostan & Carmen Toderașcu (Sandu) & Bogdan-Narcis Firtescu, 2018. "Exchange Rate Effects on International Commercial Trade Competitiveness," JRFM, MDPI, vol. 11(2), pages 1-11, April.
    6. Pasrun Adam & Rosnawintang Rosnawintang & La Ode Saidi & La Tondi & La Ode Arsad Sani, 2018. "The Causal Relationship between Crude Oil Price, Exchange Rate and Rice Price," International Journal of Energy Economics and Policy, Econjournals, vol. 8(1), pages 90-94.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kouakou Kouakou, Paul-Alfred, . "Role of trade in natural rubber and palm oil in the composition of GDP in Ivory Coast," Agricultural and Resource Economics: International Scientific E-Journal, Agricultural and Resource Economics: International Scientific E-Journal, vol. 6(3).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Monika Roman & Aleksandra Górecka & Joanna Domagała, 2020. "The Linkages between Crude Oil and Food Prices," Energies, MDPI, vol. 13(24), pages 1-18, December.
    2. Tan Ngoc Vu & Chi Minh Ho & Thang Cong Nguyen & Duc Hong Vo, 2020. "The Determinants of Risk Transmission between Oil and Agricultural Prices: An IPVAR Approach," Agriculture, MDPI, vol. 10(4), pages 1-14, April.
    3. Shernaz Bodhanwala & Harsh Purohit & Nidhi Choudhary, 2020. "The Causal Dynamics in Indian Agriculture Commodity Prices and Macro-Economic Variables in the Presence of a Structural Break," Global Business Review, International Management Institute, vol. 21(1), pages 241-261, February.
    4. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    5. Ondřej Filip & Karel Janda & Ladislav Krištoufek, 2018. "Ceny biopaliv a souvisejících komodit: analýza s použitím metod minimální kostry grafu a hierarchických stromů [Prices of Biofuels and Related Commodities: an Analysis Using Methods of Minimum Spanning Tree and Hierarchical Tree]," Politická ekonomie, Prague University of Economics and Business, vol. 2018(2), pages 218-239.
    6. Ida Farida & Faurani Santi Singagerda, 2021. "Volatilitiy of World Food Commodity Prices and Renewable Fuel Standard Policy," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 516-527.
    7. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2019. "Energy and Food Security: Linkages through Price Volatility," Energy Policy, Elsevier, vol. 128(C), pages 796-806.
    8. Barbaglia, Luca & Wilms, Ines & Croux, Christophe, 2016. "Commodity dynamics: A sparse multi-class approach," Energy Economics, Elsevier, vol. 60(C), pages 62-72.
    9. Francesco Trebbi & Eric Weese, 2019. "Insurgency and Small Wars: Estimation of Unobserved Coalition Structures," Econometrica, Econometric Society, vol. 87(2), pages 463-496, March.
    10. Riza Radmehr & Shida Rastegari Henneberry, 2020. "Energy Price Policies and Food Prices: Empirical Evidence from Iran," Energies, MDPI, vol. 13(15), pages 1-15, August.
    11. Anthony N. Rezitis & Panagiotis Andrikopoulos & Theodoros Daglis, 2024. "Assessing the asymmetric volatility linkages of energy and agricultural commodity futures during low and high volatility regimes," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(3), pages 451-483, March.
    12. Anthony N. Rezitis, 2018. "Empirical analysis of price relations along the Finnish supply chain of selected meat, dairy, and egg products: A dynamic panel data approach," Agribusiness, John Wiley & Sons, Ltd., vol. 34(3), pages 542-561, June.
    13. Kang, Sang Hoon & Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2019. "Exploring the time-frequency connectedness and network among crude oil and agriculture commodities V1," Energy Economics, Elsevier, vol. 84(C).
    14. Luca Barbaglia & Christophe Croux & Ines Wilms, 2017. "Volatility spillovers and heavy tails: a large t-Vector AutoRegressive approach," Working Papers of Department of Decision Sciences and Information Management, Leuven 590528, KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven.
    15. Jiang, Yonghong & Lao, Jiashun & Mo, Bin & Nie, He, 2018. "Dynamic linkages among global oil market, agricultural raw material markets and metal markets: An application of wavelet and copula approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 265-279.
    16. Barbaglia, Luca & Croux, Christophe & Wilms, Ines, 2020. "Volatility spillovers in commodity markets: A large t-vector autoregressive approach," Energy Economics, Elsevier, vol. 85(C).
    17. Albulescu, Claudiu Tiberiu & Tiwari, Aviral Kumar & Ji, Qiang, 2020. "Copula-based local dependence among energy, agriculture and metal commodities markets," Energy, Elsevier, vol. 202(C).
    18. repec:kob:wpaper:1628 is not listed on IDEAS
    19. Farhad Taghizadeh-Hesary & Ehsan Rasoulinezhad & Naoyuki Yoshino, 2018. "Volatility Linkages between Energy and Food Prices: Case of Selected Asian Countries," ADBI Working Papers 829, Asian Development Bank Institute.
    20. Waseem Khan & Vishal Sharma & Saghir Ahmad Ansari, 2022. "Modeling the dynamics of oil and agricultural commodity price nexus in linear and nonlinear frameworks: A case of emerging economy," Review of Development Economics, Wiley Blackwell, vol. 26(3), pages 1733-1784, August.
    21. Xiao Jing Cai & Zheng Fang & Youngho Chang & Shuairu Tian & Shigeyuki Hamori, 2020. "Co-movements in commodity markets and implications in diversification benefits," Empirical Economics, Springer, vol. 58(2), pages 393-425, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:91801. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.