Journals / Alanya Akademik Bakış / 2022 / Cilt: 6 - Sayı: 3

Assymetric Relations Between Range-Based Realized Volatility Series of Precious Metals

Kıymetli Madenlerin Range-Based Realized Volatilite Serileri Arasındaki Asimetrik İlişkiler

Pages
3215–3236
Publication Date
2022-09-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The most important conclusion reached is that gold has a limited relationship with silver and since there is no causal relationship with platinum and palladium, gold can be kept more in portfolios to be formed and it still remains a safe haven as an investment tool.

📌 3 Key Takeaways

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Objective & Hypothesis:High volatility and contagion effect panic in financial markets increase the risks of investors.
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Key Findings & Data:For this purpose, the causality relationship between precious metals was analyzed using the Garman-Klass (1980) range-based realized volatility series, as well as the Hacker and Hatemi-J Boostrap (2006) Causality test, in order to see the asymmetrical relationships as well as the Hatemi-J (2012) Asymmetric Causality test.
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Conclusion & Impact:The most important conclusion reached is that gold has a limited relationship with silver and since there is no causal relationship with platinum and palladium, gold can be kept more in portfolios to be formed and it still remains a safe haven as an investment tool.
🔬Design:Research Article
📍Scope:2006 Verileri
⚙️Variables:Kıymetli madenler · Garman-Klass (1980) Range-Based Realized Volatilite · Hacker ve Hatemi-J Boostrap (2006) Nedensellik

Abstract

High volatility and contagion effect panic in financial markets increase the risks of investors. Thus, investors started to consider alternative instruments that could be included in their portfolios in order to be protected from the increasing risk, and at this point, precious metals began to be seen as a safe haven. The relationship of precious metals with other financial assets and markets is as important as their relationship with each other and is a subject that needs to be investigated. For this purpose, the causality relationship between precious metals was analyzed using the Garman-Klass (1980) range-based realized volatility series, as well as the Hacker and Hatemi-J Boostrap (2006) Causality test, in order to see the asymmetrical relationships as well as the Hatemi-J (2012) Asymmetric Causality test. As a result of the analysis, various causality relationships were found between the variables. In particular, the copper variable has a reciprocal causality relationship with all of the gold, silver, palladium, and platinum variables. The most important conclusion reached is that gold has a limited relationship with silver and since there is no causal relationship with platinum and palladium, gold can be kept more in portfolios to be formed and it still remains a safe haven as an investment tool.

Özet

Finansal piyasalarda oluşan yüksek oynaklık ve bulaşma etkisi paniği yatırımcıların risklerini artırmaktadır. Böylece yatırımcılar artan riskten korunmak için portföylerinde yer alabilecek alternatif enstrümanları düşünmeye başlamış ve bu noktada kıymetli madenler güvenli liman olarak görülmeye başlanmıştır. Kıymetli madenlerin diğer finansal varlıklar ve piyasalarla olan ilişkisi önemli olduğu kadar birbirleriyle olan ilişkisi de oldukça önemli ve araştırılması gereken bir konudur. Bu amaçla kıymetli madenler arasındaki nedensellik ilişkisi Garman-Klass (1980) range-based realized volatilite serileri kullanılarak Hacker ve Hatemi-J Boostrap (2006) Nedensellik testinin yanı sıra asimetrik ilişkilerin de görülebilmesi için Hatemi-J (2012) Asimetrik Nedensellik testi ile analiz edilmiştir. Analizler sonucunda değişkenler arasında çeşitli nedensellik ilişkileri bulunmuştur. Ulaşılan en önemli sonuç ise altının gümüşle sınırlı bir ilişkisinin bulunduğu ve platin, paladyumla herhangi bir nedensellik ilişkisi bulunmadığı için altının oluşturulacak portföylerde daha fazla bulundurulabileceği ve halen yatırım aracı olarak güvenli liman olma özelliğini koruduğudur.

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Cite This Article

HÖL, A. Ö., GÜLCAN, N. (2022). Assymetric Relations Between Range-Based Realized Volatility Series of Precious Metals. Alanya Akademik Bakış, Cilt: 6 - Sayı: 3, 3215–3236. https://ajindex.com/articles/456955

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References (9)

  1. AÇACAK, A., GÜLSAR, E. & MERİÇ, E. (2020). “Kıymetli Madenlerin Birbirleriyle İlişkisi: Asimetrik Nedensellik”. Anadolu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 21(1): 28-37.
  2. AL JANABI, M. A., HATEMI-J, A., & IRANDOUST, M. (2010). “An Empirical İnvestigation of The İnformational Efficiency of The GCC Equity Markets: Evidence From Bootstrap Simulation”. International Review of Financial Analysis, 19(1): 47- 54. ARIF, I., KHAN, L., & IRAQI, K. M. (2019). “Relationship Between Oil Price and White Precious Metals Return: A New Evidence From Quantile-On-Quantile Regression”. Pakistan Journal of Commerce and Social Sciences (PJCSS), 13(2): 515-528.
  3. AROURI, M. E. H., HAMMOUDEH, S., LAHIANI, A. & NGUYEN, D. K. (2012). “Long Memory and Structural Breaks in Modeling The Return and Volatility Dynamics of Precious Metals”. The Quarterly Review of Economics and Finance, 52(2): 207-218.
  4. BALCILAR, M. & OZDEMIR, Z. A. (2019). “The Volatility Effect on Precious Metals Price Returns in A Stochastic Volatility in Mean Model With Time-Varying Parameters”. Physica A: Statistical Mechanics and Its Applications, 534, 122329. BATTEN, J. A., CINER, C. & LUCEY, B. M. (2010). “The Macroeconomic Determinants of Volatility in Precious Metals Markets”. Resources Policy, 35(2): 65-71.
  5. BATTEN, J. A., CINER, C., & LUCEY, B. M. (2015). “Which Precious Metals Spill Over on Which, When and Why? Some Evidence”. Applied Economics Letters, 22(6): 466- 473. BATTEN, J., LUCEY, B., MCGROARTY, F., PEAT, M. & URQUHART, A. (2017). “Stylized Facts of İntraday Precious Metals”. PloS one, 12(4), e0174232. BHATIA, V., DAS, D., TIWARI, A. K., SHAHBAZ, M. & HASIM, H. M. (2018). “Do Precious Metal Spot Prices İnfluence Each Other? Evidence From A Nonparametric Causality-İn-Quantiles Approach”. Resources Policy, 55: 244-252.
  6. BUNNAG, T. (2015). “The Precious Metals Volatility Comovements and Spillovers, Hedging Strategies in Comex Market”. Journal of Applied Economic Sciences (JAES), 10(31): 82-103.
  7. CARRION-I-SILVESTRE, J. L., KIM, D., & PERRON, P. (2009). “GLS-based Unit Root Tests With Multiple Structural Breaks Under Both The Null and The Alternative Hypotheses”. Econometric theory, 25(6): 1754-1792.
  8. CHEN, M.-H. 2010. “Understanding World Metals Prices—Returns, Volatility and Diversification”. Resources Policy, 35: 127-140.
  9. ÇELİK, İ., AKKUŞ, H. T. & GÜLCAN, N. (2019). “Investigation of Rational Bubbles and Volatility Spillovers in Commodity Markets: Evidences From Precious Metals”. Mehmet