IDEAS home Printed from https://ideas.repec.org/p/lev/wrkpap/wp_1008.html
   My bibliography  Save this paper

A GARCH Approach to Modeling Chilean Long-Term Swap Yields

Author

Listed:
  • Tanweer Akram
  • Khawaja Mamun

Abstract

This paper econometrically models the dynamics of the Chilean interbank swap yields based on macroeconomic factors. It examines whether the month-over-month change in the short-term interest rate has a decisive influence on the long-term swap yield after controlling for other factors, such as the change in inflation, change in the growth of industrial production, change in the log of the equity price index, and change in the log of the exchange rate. It applies the generalized autoregressive conditional heteroskedasticity (GARCH) approach to model the dynamics of the long-term swap yield. The change in the short-term interest rate has an economically meaningful and statistically significant effect on the change of the interbank swap yield. This means that the Banco Central de Chile's (BCCH) monetary policy exerts an important influence on interbank swap yields in Chile.

Suggested Citation

  • Tanweer Akram & Khawaja Mamun, 2022. "A GARCH Approach to Modeling Chilean Long-Term Swap Yields," Economics Working Paper Archive wp_1008, Levy Economics Institute.
  • Handle: RePEc:lev:wrkpap:wp_1008
    as

    Download full text from publisher

    File URL: http://www.levyinstitute.org/pubs/wp_1008.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    2. repec:cup:jfinqa:v:46:y:2011:i:06:p:1727-1754_00 is not listed on IDEAS
    3. Chernenko, Sergey & Faulkender, Michael, 2011. "The Two Sides of Derivatives Usage: Hedging and Speculating with Interest Rate Swaps," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 46(6), pages 1727-1754, December.
    4. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    5. Bindseil, Ulrich, 2004. "Monetary Policy Implementation: Theory, past, and present," OUP Catalogue, Oxford University Press, number 9780199274543.
    6. Ilias Lekkos & Costas Milas, 2001. "Identifying the Factors that Affect Interest‐Rate Swap Spreads: Some Evidence from the United States and the United Kingdom," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(8), pages 737-768, August.
    7. Eli M Remolona & Philip D Wooldridge, 2003. "The euro interest rate swap market," BIS Quarterly Review, Bank for International Settlements, March.
    Full references (including those not matched with items on IDEAS)

    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. Asif Mahmood, 2016. "Transmission of Volatility of Money Market Overnight Repo Rate along the Yield Curve in Pakistan," SBP Research Bulletin, State Bank of Pakistan, Research Department, vol. 12, pages 1-18.
    2. Baum, Christopher F. & Caglayan, Mustafa & Stephan, Andreas & Talavera, Oleksandr, 2008. "Uncertainty determinants of corporate liquidity," Economic Modelling, Elsevier, vol. 25(5), pages 833-849, September.
    3. Minot, Nicholas, 2014. "Food price volatility in sub-Saharan Africa: Has it really increased?," Food Policy, Elsevier, vol. 45(C), pages 45-56.
    4. Tomanova, Lucie, 2013. "Exchange Rate Volatility and the Foreign Trade in CEEC," EY International Congress on Economics I (EYC2013), October 24-25, 2013, Ankara, Turkey 267, Ekonomik Yaklasim Association.
    5. Chang, Chia-Lin, 2015. "Modelling a latent daily Tourism Financial Conditions Index," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 113-126.
    6. Goncalves, Silvia & Kilian, Lutz, 2004. "Bootstrapping autoregressions with conditional heteroskedasticity of unknown form," Journal of Econometrics, Elsevier, vol. 123(1), pages 89-120, November.
    7. ?ikolaos A. Kyriazis, 2021. "Impacts of Stock Indices, Oil, and Twitter Sentiment on Major Cryptocurrencies during the COVID-19 First Wave," Bulletin of Applied Economics, Risk Market Journals, vol. 8(2), pages 133-146.
    8. Alagidede, Paul & Panagiotidis, Theodore, 2009. "Modelling stock returns in Africa's emerging equity markets," International Review of Financial Analysis, Elsevier, vol. 18(1-2), pages 1-11, March.
    9. Takahashi, Makoto & Watanabe, Toshiaki & Omori, Yasuhiro, 2016. "Volatility and quantile forecasts by realized stochastic volatility models with generalized hyperbolic distribution," International Journal of Forecasting, Elsevier, vol. 32(2), pages 437-457.
    10. SILVESTRINI, Andrea & VEREDAS, David, 2005. "Temporal aggregation of univariate linear time series models," LIDAM Discussion Papers CORE 2005059, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    11. repec:wyi:journl:002087 is not listed on IDEAS
    12. Mai, Nhat Chi, 2022. "Tác động của lạm phát đến hoạt động của thị trường chứng khoán ở Việt Nam: Kiểm chứng bằng mô hình GARCH," OSF Preprints azcqd, Center for Open Science.
    13. Angelidis, Dimitrios & Koulakiotis Athanasios & Kiohos Apostolos, 2018. "Feedback Trading Strategies: The Case of Greece and Cyprus," South East European Journal of Economics and Business, Sciendo, vol. 13(1), pages 93-99, June.
    14. Bedoui, Rihab & Braiek, Sana & Guesmi, Khaled & Chevallier, Julien, 2019. "On the conditional dependence structure between oil, gold and USD exchange rates: Nested copula based GJR-GARCH model," Energy Economics, Elsevier, vol. 80(C), pages 876-889.
    15. Ataurima Arellano, Miguel & Rodríguez, Gabriel, 2020. "Empirical modeling of high-income and emerging stock and Forex market return volatility using Markov-switching GARCH models," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    16. Burton, Diana M. & Love, H. Alan, 1996. "A Review of Alternative Expectations Regimes in Commodity Markets: Specification, Estimation, and Hypothesis Testing Using Structural Models," Agricultural and Resource Economics Review, Cambridge University Press, vol. 25(2), pages 213-231, October.
    17. Ibrahim Mohammed & Chioma Nwafor, 2014. "Stock Market Consequences of the Suspension of the Central Bank of Nigeria’s Governor," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 12(4 (Winter), pages 371-394.
    18. Chia-Lin Chang & Yiying Li & Michael McAleer, 2018. "Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice," Energies, MDPI, vol. 11(6), pages 1-19, June.
    19. Mohamed CHIKHI & Claude DIEBOLT, 2022. "Testing the weak form efficiency of the French ETF market with the LSTAR-ANLSTGARCH approach using a semiparametric estimation," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 13, pages 228-253, June.
    20. Dimitrakopoulos, Dimitris N. & Kavussanos, Manolis G. & Spyrou, Spyros I., 2010. "Value at risk models for volatile emerging markets equity portfolios," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(4), pages 515-526, November.
    21. Erie Febrian & Aldrin Herwany, 2009. "Volatility Forecasting Models and Market Co-Integration: A Study on South-East Asian Markets," Working Papers in Economics and Development Studies (WoPEDS) 200911, Department of Economics, Padjadjaran University, revised Sep 2009.

    More about this item

    Keywords

    Interest Rate Swaps; Swap Yield; Short-Term Interest Rate; Banco Central de Chile (BCCH); Chile;
    All these keywords.

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E60 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:lev:wrkpap:wp_1008. 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: Elizabeth Dunn (email available below). General contact details of provider: http://www.levyinstitute.org .

    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.