Research Article
BibTex RIS Cite

BIST 100, Döviz Kuru, Altın ve Petrol Fiyatları Arasındaki Etkileşimlerin Zaman ve Frekans Boyutunda Analizi

Year 2025, Volume: 10 Issue: 28, 638 - 663
https://doi.org/10.25204/iktisad.1591691

Abstract

Bu çalışmada, Türkiye’nin BIST 100 endeksi, döviz kuru, altın ve petrol fiyatları arasındaki kısa, orta ve uzun vadeli etkileşimlerin zaman ve frekans boyutunda incelenmesi amaçlanmıştır. 01.01.2013 - 31.10.2024 tarihleri arasındaki günlük açılış verileri dalgacık dönüşümü tekniği kullanılarak analiz edilmiştir. Çalışma sonuçları, altın fiyatları ile döviz kuru arasında hem kısa hem orta hem de uzun vadede güçlü bir ilişki olduğunu göstermektedir. Döviz kuru ile petrol fiyatları ve BIST 100 endeksi arasındaki etkileşim kısa vadede zayıf, orta vadede artan, uzun vadede ise oldukça güçlü bir hale gelmiştir. Benzer şekilde, altın ile BIST 100 endeksi ve petrol fiyatları arasındaki ilişkiler de kısa vadede düşük olmakla beraber orta ve uzun vadelerde belirgin şekilde güçlenmiştir. Döviz kuru ve petrol fiyatları arasındaki korelasyon, kısa vadede düşük, orta vadede artan ve uzun vadede güçlü bir ilişki olarak saptanmıştır. Çalışma, Türkiye'nin finansal piyasasında döviz kuru, altın fiyatları, petrol fiyatları ve BIST 100 endeksi arasındaki dinamiklerin zaman içinde nasıl değiştiğini ve ekonomik krizler ile küresel olaylardan (COVİD-19) nasıl etkilendiğini göstermektedir. Bu bilgiler yatırımcıların risk yönetimi ve portföy çeşitlendirmesi stratejilerini belirlerken faydalı olacaktır.

References

  • Aggarwal, R. ve Lucey, B. M. (2007). Psychological barriers in gold prices?. Review of Financial Economics, 16(2), 217-230. https://doi.org/10.1016/j.rfe.2006.04.001
  • Ahmed, F., Kashif, M. ve Feroz, F. (2017). Dynamic relationship between gold prices, oil prices, exchange rate and stock returns: Empirical evidence from Pakistan. NUML International Journal of Business ve Management, 12(1), 109-126. https://tinyurl.com/ybfjnb76
  • Akbar, M., Iqbal, F. ve Noor, F. (2019). Bayesian analysis of dynamic linkages among gold price, stock prices, exchange rate and interest rate in Pakistan. Resources Policy, 62, 154-164. https://doi.org/10.1016/j.resourpol.2019.03.003
  • Alshammari, A. A., Altarturi, B. Saiti, B. ve Munassar, L. (2019). The impact of exchange rate, oil price and gold price on the Kuwaiti stock market: A wavelet analysis. The European Journal of Comparative Economics, 17(1), 31-54. http://dx.doi.org/10.25428/1824-2979/202001-31-54
  • Altarturi, B. H., Alshammari, A. A. Saiti, B. ve Erol, T. (2018). A three-way analysis of the relationship between the USD value and the prices of oil and gold: A wavelet analysis. AIMS Energy, 6(3), 487-504. http://dx.doi.org/10.3934/energy.2018.3.487
  • Anser, M. K., Yousaf, Z. Nassani, A. A. Abro, M. M. Q. ve Zaman, K. (2020). The role of carbon pricing in the relationship between air freight and environmental resource depletion: a case study of Saudi Arabia. Clean Technologies and Environmental Policy, 25, 1-12. https://doi.org/10.1007/s10098-020-01844-9
  • Arfaoui, M. ve Ben Rejeb, A. (2017). Oil, gold, US dollar and stock market interdependencies: a global analytical insight. European Journal of Management and Business Economics, 26(3), 278-293. https://doi.org/10.1108/EJMBE-10-2017-016
  • Arouri, M. E. H. ve Rault, C. (2012). Oil prices and stock markets in GCC countries: empirical evidence from panel analysis. International Journal of Finance ve Economics, 17(3), 242-253. https://doi.org/10.1002/ijfe.443
  • Asaad, Z. A. (2021). Oil price, gold price, exchange rate, and stock market in Iraq pre-during COVID-19 outbreak: An ARDL approach. International Journal of Energy Economics and Policy, 11(5), 562-671. https://ssrn.com/abstract=3909143
  • Aziz, G., Sarwar, S. Yuan, Q. Waheed, R. ve Morales, L. (2024). Reinvestigating the role of oil and gold for portfolio optimization in view of COVID-19 and structural breaks: Empirical evidence of BEKK, DCC and wavelet quantile based estimations. Resources Policy, 92, 104957. https://doi.org/10.1016/j.resourpol.2024.104957
  • Babar, M., Ahmad, H. ve Yousaf, I. (2024). Information transmission between energy commodities and emerging Asian stock markets during crises: an analysis of oil importing countries. Asia-Pacific Journal of Business Administration, 16(2), 331-351. https://doi.org/10.1108/APJBA-02-2022-0061
  • Barunik, J., Kocenda, E. ve Vacha, L. (2013). Gold, oil, and stocks. ArXiv preprint arXiv:1308.0210. https://doi.org/10.48550/arXiv.1308.0210
  • Baruník, J., Kočenda, E. ve Vácha, L. (2016). Asymmetric connectedness on the US stock market: Bad and good volatility spillovers. Journal of Financial Markets, 27, 55-78. https://doi.org/10.1016/j.finmar.2015.09.003
  • Batondo, M., & Uwilingiye, J. (2022). Comovement across BRICS and the US stock markets: A multitime scale wavelet analysis. International Journal of Financial Studies, 10(2), 27. https://doi.org/10.3390/ijfs10020027
  • Bibi, M., Khan, M. K. Shujaat, S. Godil, D. I. Sharif, A. ve Anser, M. K. (2022). How precious metal and energy resources interact with clean energy stocks? Fresh insight from the novel ARDL technique. Environmental Science and Pollution Research, 29(5), 7424-7437. https://doi.org/10.1007/s11356-021-16262-7
  • Bilal, B. M. F., Benghoul, M. Numan, U. Shakoor, A. Komal, B. ve Tan, D. (2020). Environmental pollution and COVID-19 outbreak: Insights from Germany. Air Quality, Atmosphere ve Health, 13, 1385-1394. https://doi.org/10.1007/s11869-020-00893-9
  • Billio, M., Donadelli, M. Paradiso, A. ve Riedel, M. (2017). Which market integration measure?. Journal of Banking ve Finance, 76, 150-174. https://doi.org/10.1016/j.jbankfin.2016.12.002
  • Breitung, J. ve Candelon, B. (2006). Testing for short-and long-run causality: A frequency-domain approach. Journal of Econometrics, 132(2), 363-378. https://doi.org/10.1016/j.jeconom.2005.02.004
  • Capie, F., Mills, T. C. ve Wood, G. (2005). Gold as a hedge against the dollar. Journal of International Financial Markets, Institutions and Money, 15(4), 343-352. https://doi.org/10.1016/j.intfin.2004.07.002
  • Churchill, S. A., Inekwe, J. Ivanovski, K. ve Smyth, R. (2019). Dynamics of oil price, precious metal prices and the exchange rate in the long-run. Energy Economics, 84, 104508. https://doi.org/10.1016/j.eneco.2019.1045
  • Cui, J. (2023). The Relationship between the Gold Price, Crude Oil Price, Exchange Rate and Chinese Stock Market Indexes. Highlights in Business, Economics and Management, 10, 180-188. https://doi.org/10.54097/hbem.v10i.8037
  • Dai, X., Wang, Q. Zha, D. ve Zhou, D. (2020). Multi-scale dependence structure and risk contagion between oil, gold, and US exchange rate: A wavelet-based vine-copula approach. Energy Economics, 88, 104774. https://doi.org/10.1016/j.eneco.2020.104774
  • Dar, A. B. ve Maitra, D. (2017). Is gold a weak or strong hedge and safe haven against stocks? Robust evidences from three major gold-consuming countries. Applied Economics, 49(53), 5491-5503. https://doi.org/10.1080/00036846.2017.1310998
  • Ding, Q., Huang, J. ve Chen, J. (2021). Dynamic and frequency-domain risk spillovers among oil, gold, and foreign exchange markets: Evidence from implied volatility. Energy Economics, 102, 105514. https://doi.org/10.1016/j.eneco.2021.105514
  • El-Sharif, I., Brown, D. Burton, B. Nixon, B. ve Russell, A. (2005). Evidence on the nature and extent of the relationship between oil prices and equity values in the UK. Energy economics, 27(6), 819-830. https://doi.org/10.1016/j.eneco.2005.09.002
  • Elyasiani, E., Mansur, I. ve Odusami, B. (2011). Oil price shocks and industry stock returns. Energy Economics, 33(5), 966-974. https://doi.org/10.1016/j.eneco.2011.03.013
  • Farid, S., Kayani, G. M. Naeem, M. A. ve Shahzad, S. J. H. (2021). Intraday volatility transmission among precious metals, energy and stocks during the COVID-19 pandemic. Resources Policy, 72, 102101. https://doi.org/10.1016/j.resourpol.2021.102101
  • Forbes, K. (2012). The" Big C": identifying contagion. Natıonal Bureau Of Economıc Research. http://www.nber.org/papers/w18465
  • Forbes, K. ve Rigobon, R. (2001). Measuring contagion: conceptual and empirical issues. In International financial contagion (pp. 43-66). Boston, MA: Springer US. https://doi.org/10.1007/978-1-4757-3314-3_3
  • Foroutan, P. ve Lahmiri, S. (2024). Deep learning-based spatial-temporal graph neural networks for price movement classification in crude oil and precious metal markets. Machine Learning with Applications, 16, 100552. https://doi.org/10.1016/j.mlwa.2024.100552
  • Gaur, A. ve Bansal, M. (2010). A comparative study of gold price movements in Indian and global markets, Indian Journal of Finance, 4(2), 32-37
  • Ghanbari, H., Fooeik, A. Eskorouchi, A. ve Mohammadi, E. (2022). Investigating the effect of US dollar, gold and oil prices on the stock market. Journal of future sustainability, 2(3), 97-104. http://dx.doi.org/10.5267/j.jfs.2022.9.009
  • Ghosh D., Levin E. J. Macmillan P. ve Wright, R. E. (2004), Gold as an inflation hedge?, Studies in Economics and Finance, 22(1), 1-25. https://doi.org/10.1108/eb043380
  • Godil, D. I., Sarwat, S. Sharif, A. ve Jermsittiparsert, K. (2020). How oil prices, gold prices, uncertainty and risk impact Islamic and conventional stocks? Empirical evidence from QARDL technique. Resources Policy, 66, 101638. https://doi.org/10.1016/j.resourpol.2020.101638
  • Hammoudeh, S. ve Choi, K. (2006). Behavior of GCC stock markets and impacts of US oil and financial markets. Research in International Business and Finance, 20(1), 22-44. https://doi.org/10.1016/j.ribaf.2005.05.008
  • Haque, M. A., Topal, E. ve Lilford, E. (2015). Relationship between the gold price and the Australian dollar-US dollar exchange rate. Mineral Economics, 28, 65-78. https://doi.org/10.1007/s13563-015-0067-y
  • Hu, Z., Zhao, Y. ve Khushi, M. (2021). A survey of forex and stock price prediction using deep learning. Applied System Innovation, 4(1), 9. https://doi.org/10.3390/asi4010009
  • Huang, S., An, H. Gao, X. ve Huang, X. (2016). Time–frequency featured co-movement between the stock and prices of crude oil and gold. Physica A: Statistical Mechanics and its Applications, 444, 985-995. https://doi.org/10.1016/j.physa.2015.10.080
  • Jain, A. ve Biswal, P. C. (2016). Dynamic linkages among oil price, gold price, exchange rate, and stock market in India. Resources Policy, 49, 179-185. https://doi.org/10.1016/j.resourpol.2016.06.001
  • Khan, M. A., Khan, F. Sharif, A. ve Suleman, M. T. (2023). Dynamic linkages between Islamic equity indices, oil prices, gold prices, and news-based uncertainty: New insights from partial and multiple wavelet coherence. Resources Policy, 80, 103213. https://doi.org/10.1016/j.resourpol.2022.103213
  • Kiong, W. V., Aralas, S. ve Pinjaman, S. (2023). Islamic Stock Price and Exchange Rate: A Wavelet Analysis for ASEAN-5. Global Business and Management Research: An International Journal, 15(1), 142-148. https://gbmrjournal.com/pdf/v15n1/V15N1_11.pdf
  • Kisi, O. ve Cimen, M. (2011). A wavelet-support vector machine conjunction model for monthly streamflow forecasting. Journal of Hydrology, 399(1-2), 132-140. https://doi.org/10.1016/j.jhydrol.2010.12.041
  • Lei, L., Aziz, G. Sarwar, S. Waheed, R. ve Tiwari, A. K. (2023). Spillover and portfolio analysis for oil and stock market: A new insight across financial crisis, COVID-19 and Russian-Ukraine war. Resources Policy, 85, 103645. https://doi.org/10.1016/j.resourpol.2023.103645
  • Lin, L., Kuang, Y. Jiang, Y. ve Su, X. (2019). Assessing risk contagion among the Brent crude oil market, London gold market and stock markets: Evidence based on a new wavelet decomposition approach. The North American Journal of Economics and Finance, 50, 101035. https://doi.org/10.1016/j.najef.2019.101035
  • Mahdavi, S. ve Zhou, S. (1997). Gold and commodity prices as leading indicators of inflation: Tests of long-run relationship and predictive performance. Journal of Economics and Business, 49(5), 475-489. https://doi.org/10.1016/S0148-6195(97)00034-9
  • Malhotra, A. ve Chintanpalli, A. (2020). A real time wavelet filtering for ECG baseline wandering removal. In 2020 International Conference on Artificial Intelligence and Signal Processing (AISP) (pp. 1-5). IEEE. https://doi.org/10.1109/AISP48273.2020.9073007
  • Mariani, M. C., Tweneboah, O. K., Bhuiyan, M. A. M., Beccar-Varela, M. P., & Florescu, I. (2023). Classification of Financial Events and Its Effects on Other Financial Data. Axioms, 12(4), 372. https://doi.org/10.3390/axioms12040372
  • Mejri, S., Aloui, C. ve Khan, N. (2024). The gold stock nexus: Assessing the causality dynamics based on advanced multiscale approaches. Resources Policy, 88, 104395. https://doi.org/10.1016/j.resourpol.2023.104395
  • Mensi, W., Yousaf, I. Vo, X. V. ve Kang, S. H. (2023). Multifractality during upside/downside trends in the MENA stock markets: the effects of the global financial crisis, oil crash and COVID-19 pandemic. International Journal of Emerging Markets, 18(10), 4408-4435. https://doi.org/10.1108/IJOEM-08-2021-1177
  • Mittal, P. (2023). Wavelet transformation and predictability of Gold Price Index Series with ARMA model. Int. J. Exp. Res. Rev, 30, 127-133. https://doi.org/10.52756/ijerr.2023.v30.014
  • Mohammadzadeh, S., Shahiki Tash, M. N. ve Zinati, K. (2021). Investigation Time–frequency co-movement between the Tehran Stock Price Index and prices of oil and gold using Multiple Wavelet Coherence. Quarterly Journal of Quantitative Economics, 18(2), 57-70. https://doi.org/10.1108/JES-05-2022-0267
  • Mohiuddin, I., Alvi, J. Inam, S. G. ve Rehan, M. (2021). Impact of crude oil, exchange rate and gold price on KSE100 index: Before veduring Covid-19 Pandemic by using VAR model. The journal of contemporary issues in business and government, 27(6), 420-439. https://tinyurl.com/3cp6npbf
  • Mudiangombe, B. M. ve Mwamba, J. W. M. (2023). Dependence Structure and Time–Frequency Impact of Exchange Rates on Crude Oil and Stock Markets of BRICS Countries: Markov-Switching-Based Wavelet Analysis. Journal of Risk and Financial Management, 16(7), 319. https://doi.org/10.3390/jrfm16070319
  • Mustafa, G., Sarwar, B. ve Badar, S. (2020). Volatility transmission among stock prices, exchange rate, interest rate and gold prices of Pakistan. Paradigms, SI(1), 104-110. https://tinyurl.com/3zp9fhyt
  • Nekhili, R., Ziadat, S. A. ve Mensi, W. (2024). Frequency interdependence and portfolio management between gold, oil and sustainability stock markets. International Economics, 178, 100476. https://doi.org/10.1016/j.inteco.2023.100476
  • Nguyen, T. T. H., Naeem, M. A. Balli, F. Balli, H. O. ve Vo, X. V. (2021). Time-frequency comovement among green bonds, stocks, commodities, clean energy, and conventional bonds. Finance Research Letters, 40, 101739. https://doi.org/10.1016/j.pacfin.2022.101712
  • Nham, N. T. H. (2022). An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID-19 health crisis. Technological Forecasting and Social Change, 183, 121909. https://doi.org/10.1016/j.techfore.2022.121909
  • Pandit, S. ve Luo, X. (2024). A novel prediction model to evaluate the dynamic interrelationship between gold and crude oil. International Journal of Data Science and Analytics, 1-22. https://doi.org/10.1007/s41060-024-00519-8
  • Pazoki, N., Hamidian, A. Mohammadi, S. ve Mahmoudi, V. (2013). Correlation analysis of stock exchange index, oil price, exchange rate and gold price: A wavelet decomposition method. Journal of Investment Knowledge, 2(Güz 1392), 131-148.‎ http://www.jik-ifea.ir/article_7513.html?lang=en
  • Rafiuddin, A., Daffodils, J. Gaytan, J. C. T. ve Sisodia, G. S. (2021). Trend of oil prices, gold, GCC stocks market during covid-19 pandemic: a wavelet approach. International Journal of Energy Economics And Policy, 11(4), 560-572. https://doi.org/10.32479/ijeep.11365
  • Rastogi, S. (2016). Gold price, crude oil, exchange rate and stock markets: cointegration and neural network analysis. International Journal of Corporate Finance and Accounting (IJCFA), 3(2), 1-13. https://doi.org/10.4018/IJCFA.2016070101
  • Raza Rabbani, M., Hassan, M. K. Jamil, S. A. Sahabuddin, M. ve Shaik, M. (2024). Revisiting the impact of geopolitical risk on Sukuk, stocks, oil and gold markets during the crises period: fresh evidence from wavelet-based approach. Managerial Finance, 50(3), 514-533. https://doi.org/10.1108/MF-12-2022-0587
  • Rua, A. ve Nunes, L. C. (2009). International comovement of stock market returns: A wavelet analysis. Journal of Empirical Finance, 16(4), 632-639. https://doi.org/10.1016/j.jempfin.2009.02.002
  • Sahadudheen, I. ve Kumar, P. K. (2024). The Volatility Spillover Between Global Crude Oil and Gold Market: Evidence from Wavelet Coherence and Cross-power Spectrum Models. Computational Economics, 1-18. https://doi.org/10.1007/s10614-024-10819-7
  • Sharif, A., Aloui, C. ve Yarovaya, L. (2020). COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach. International Review of Financial Analysis, 70, 101496. https://doi.org/10.1016/j.irfa.2020.101496
  • Sheikh, U. A., Asad, M. Ahmed, Z. ve Mukhtar, U. (2020). Asymmetrical relationship between oil prices, gold prices, exchange rate, and stock prices during global financial crisis 2008: Evidence from Pakistan. Cogent Economics ve Finance, 8(1), 1757802. https://doi.org/10.1080/23322039.2020.1757802
  • Singhal, S., Choudhary, S. ve Biswal, P. C. (2019). Return and volatility linkages among International crude oil price, gold price, exchange rate and stock markets: Evidence from Mexico. Resources policy, 60, 255-261. https://doi.org/10.1016/j.resourpol.2019.01.004
  • Sizer, L. (2024). Asymmetric causalty relationship between alternative investment instruments and stock prices: The Türkiye sample. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, 14(1), 219-234. https://doi.org/10.30783/nevsosbilen.1413676
  • Smith, G. (2002). London gold prices and stock price indices in Europe and Japan. World Gold Council, 9(2), 1-30. https://tinyurl.com/8abzj3ry
  • Soni, R. K., Nandan, T. ve Chatnani, N. N. (2023). Dynamic association of economic policy uncertainty with oil, stock and gold: A wavelet-based approach. Journal of Economic Studies, 50(7), 1501-1525. https://doi.org/10.1108/JES-05-2022-0267
  • Sujit, K. S. ve Kumar, B. R. (2011). Study on dynamic relationship among gold price, oil price, exchange rate and stock market returns. International Journal of Applied Business and Economic Research, 9(2), 145-165.
  • Sumner, S., Johnson, R. ve Soenen, L. (2010). Spillover effects among gold, stocks, and bonds. Journal of centrum Cathedra, 3(2), 106-120. https://ssrn.com/abstract=1806036
  • Thakolsri, S. (2021). Modeling the relationships among gold price, oil price, foreign exchange, and the stock market index in Thailand. Investment Management and Financial Innovations, 18(2), 261-272. http://dx.doi.org/10.21511/imfi.18(2).2021.21
  • Tiwari, A. K. ve Sahadudheen, I. (2015). Understanding the nexus between oil and gold. Resources Policy, 46, 85-91. https://doi.org/10.1016/j.resourpol.2015.09.003
  • Torrence, C. ve Compo, G. P. (1998). A practical guide to wavelet analysis. Bulletin of the American Meteorological Society, 79(1), 61-78. https://tinyurl.com/4szfhxyn
  • Torrence, C. ve Webster, P. J. (1999). Interdecadal changes in the ENSO–monsoon system. Journal of Climate, 12(8), 2679-2690. https://tinyurl.com/4bstuedz
  • Tsen, W. H. ve Yun, S. X. (2024). The asymmetric impact of real effective exchange rate, real oil prıce and real gold price on real stock prices in selected east asian economies. Labuan e-Journal of Muamalat and Society (LJMS), 18(2), 11-22. https://doi.org/10.51200/ljms.v18i2.5069
  • Tursoy, T. ve Faisal, F. (2018). The impact of gold and crude oil prices on stock market in Turkey: Empirical evidences from ARDL bounds test and combined cointegration. Resources Policy, 55, 49-54. https://doi.org/10.1016/j.resourpol.2017.10.014
  • Umar, M., Riaz, Y. ve Yousaf, I. (2022). Impact of Russian-Ukraine war on clean energy, conventional energy, and metal markets: Evidence from event study approach. Resources Policy, 79, 102966. https://doi.org/10.1016/j.resourpol.2022.102966
  • Wang, X., Lucey, B. ve Huang, S. (2022). Can gold hedge against oil price movements: Evidence from GARCH-EVT wavelet modeling. Journal of Commodity Markets, 27, 100226. https://doi.org/10.1016/j.jcomm.2021.100226
  • Wen, D., Zhao, T. Fang, L. Zhang, C. ve Li, X. (2024). MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction. Expert Systems with Applications, 238, 122091. https://doi.org/10.1016/j.eswa.2023.122091
  • Worthington, A. C. ve Pahlavani, M. (2007). Gold investment as an inflationary hedge: Cointegration evidence with allowance for endogenous structural breaks. Applied Financial Economics Letters, 3(4), 259-262. https://doi.org/10.1080/17446540601118301
  • Wu, T., An, F., Gao, X. ve Wang, Z. (2023). Hidden causality between oil prices and exchange rates. Resources Policy, 82, 103512. https://doi.org/10.1016/j.resourpol.2023.103512
  • Younis, I., Shah, W. U. ve Yousaf, I. (2023). Static and dynamic linkages between oil, gold and global equity markets in various crisis episodes: Evidence from the Wavelet TVP-VAR. Resources Policy, 80, 103199. https://doi.org/10.1016/j.resourpol.2022.103199
  • Yousaf, I. (2021). Risk transmission from the COVID-19 to metals and energy markets. Resources Policy, 73, 102156. https://doi.org/10.1016/j.resourpol.2021.102156
  • Yousaf, I. ve Yarovaya, L. (2022). Static and dynamic connectedness between NFTs, Defi and other assets: Portfolio implication. Global Finance Journal, 53, 100719. https://doi.org/10.1016/j.gfj.2022.100719
  • Yousuf, A. ve Nilsson, F. (2013). Impact of exchange rates on Swedish stock performances: Empirical study on USD and EUR exchange rates on the Swedish stock market. https://tinyurl.com/4rue2n8z
  • Zhang, Y. J. ve Wei, Y. M. (2010). The crude oil market and the gold market: Evidence for cointegration, causality and price discovery. Resources Policy, 35(3), 168-177. https://doi.org/10.1016/j.resourpol.2010.05.003
  • Zhao, W. ve Wang, Y. D. (2022). On the time-varying correlations between oil-, gold-, and stock markets: The heterogeneous roles of policy uncertainty in the US and China. Petroleum Science, 19(3), 1420-1432. https://doi.org/10.1016/j.petsci.2021.11.015

Analysis of Interactions Between BIST 100, Exchange Rates, Gold, and Oil Prices in Time and Frequency Dimensions

Year 2025, Volume: 10 Issue: 28, 638 - 663
https://doi.org/10.25204/iktisad.1591691

Abstract

This study aims to examine the short-, medium-, and long-term interactions between Türkiye BIST 100 index, exchange rates, gold, and oil prices within the time and frequency domains. The daily opening data between 01.01.2013 and 31.10.2024 have been analyzed using the wavelet transform technique. The results of the study indicated a strong relationship between gold prices and the exchange rate in the short, medium, and long term. The interaction between the exchange rate, oil prices, and the BIST 100 index was weak in the short term, increased in the medium term, and became strong in the long term. Similarly, the relationships between gold and the BIST 100 index, as well as oil prices, were weak in the short term, but significantly strengthened in the medium and long terms. The correlation between the exchange rate and oil prices was found to be low in the short term, increasing in the medium term, and strong in the long term. The study shows how the dynamics between the exchange rate, gold prices, oil prices, and the BIST 100 index in Turkey's financial market have changed over time and how they were influenced by economic crises and global events (COVID-19). This information is expected to provide valuable insights for investors in determining risk management and portfolio diversification strategies.

References

  • Aggarwal, R. ve Lucey, B. M. (2007). Psychological barriers in gold prices?. Review of Financial Economics, 16(2), 217-230. https://doi.org/10.1016/j.rfe.2006.04.001
  • Ahmed, F., Kashif, M. ve Feroz, F. (2017). Dynamic relationship between gold prices, oil prices, exchange rate and stock returns: Empirical evidence from Pakistan. NUML International Journal of Business ve Management, 12(1), 109-126. https://tinyurl.com/ybfjnb76
  • Akbar, M., Iqbal, F. ve Noor, F. (2019). Bayesian analysis of dynamic linkages among gold price, stock prices, exchange rate and interest rate in Pakistan. Resources Policy, 62, 154-164. https://doi.org/10.1016/j.resourpol.2019.03.003
  • Alshammari, A. A., Altarturi, B. Saiti, B. ve Munassar, L. (2019). The impact of exchange rate, oil price and gold price on the Kuwaiti stock market: A wavelet analysis. The European Journal of Comparative Economics, 17(1), 31-54. http://dx.doi.org/10.25428/1824-2979/202001-31-54
  • Altarturi, B. H., Alshammari, A. A. Saiti, B. ve Erol, T. (2018). A three-way analysis of the relationship between the USD value and the prices of oil and gold: A wavelet analysis. AIMS Energy, 6(3), 487-504. http://dx.doi.org/10.3934/energy.2018.3.487
  • Anser, M. K., Yousaf, Z. Nassani, A. A. Abro, M. M. Q. ve Zaman, K. (2020). The role of carbon pricing in the relationship between air freight and environmental resource depletion: a case study of Saudi Arabia. Clean Technologies and Environmental Policy, 25, 1-12. https://doi.org/10.1007/s10098-020-01844-9
  • Arfaoui, M. ve Ben Rejeb, A. (2017). Oil, gold, US dollar and stock market interdependencies: a global analytical insight. European Journal of Management and Business Economics, 26(3), 278-293. https://doi.org/10.1108/EJMBE-10-2017-016
  • Arouri, M. E. H. ve Rault, C. (2012). Oil prices and stock markets in GCC countries: empirical evidence from panel analysis. International Journal of Finance ve Economics, 17(3), 242-253. https://doi.org/10.1002/ijfe.443
  • Asaad, Z. A. (2021). Oil price, gold price, exchange rate, and stock market in Iraq pre-during COVID-19 outbreak: An ARDL approach. International Journal of Energy Economics and Policy, 11(5), 562-671. https://ssrn.com/abstract=3909143
  • Aziz, G., Sarwar, S. Yuan, Q. Waheed, R. ve Morales, L. (2024). Reinvestigating the role of oil and gold for portfolio optimization in view of COVID-19 and structural breaks: Empirical evidence of BEKK, DCC and wavelet quantile based estimations. Resources Policy, 92, 104957. https://doi.org/10.1016/j.resourpol.2024.104957
  • Babar, M., Ahmad, H. ve Yousaf, I. (2024). Information transmission between energy commodities and emerging Asian stock markets during crises: an analysis of oil importing countries. Asia-Pacific Journal of Business Administration, 16(2), 331-351. https://doi.org/10.1108/APJBA-02-2022-0061
  • Barunik, J., Kocenda, E. ve Vacha, L. (2013). Gold, oil, and stocks. ArXiv preprint arXiv:1308.0210. https://doi.org/10.48550/arXiv.1308.0210
  • Baruník, J., Kočenda, E. ve Vácha, L. (2016). Asymmetric connectedness on the US stock market: Bad and good volatility spillovers. Journal of Financial Markets, 27, 55-78. https://doi.org/10.1016/j.finmar.2015.09.003
  • Batondo, M., & Uwilingiye, J. (2022). Comovement across BRICS and the US stock markets: A multitime scale wavelet analysis. International Journal of Financial Studies, 10(2), 27. https://doi.org/10.3390/ijfs10020027
  • Bibi, M., Khan, M. K. Shujaat, S. Godil, D. I. Sharif, A. ve Anser, M. K. (2022). How precious metal and energy resources interact with clean energy stocks? Fresh insight from the novel ARDL technique. Environmental Science and Pollution Research, 29(5), 7424-7437. https://doi.org/10.1007/s11356-021-16262-7
  • Bilal, B. M. F., Benghoul, M. Numan, U. Shakoor, A. Komal, B. ve Tan, D. (2020). Environmental pollution and COVID-19 outbreak: Insights from Germany. Air Quality, Atmosphere ve Health, 13, 1385-1394. https://doi.org/10.1007/s11869-020-00893-9
  • Billio, M., Donadelli, M. Paradiso, A. ve Riedel, M. (2017). Which market integration measure?. Journal of Banking ve Finance, 76, 150-174. https://doi.org/10.1016/j.jbankfin.2016.12.002
  • Breitung, J. ve Candelon, B. (2006). Testing for short-and long-run causality: A frequency-domain approach. Journal of Econometrics, 132(2), 363-378. https://doi.org/10.1016/j.jeconom.2005.02.004
  • Capie, F., Mills, T. C. ve Wood, G. (2005). Gold as a hedge against the dollar. Journal of International Financial Markets, Institutions and Money, 15(4), 343-352. https://doi.org/10.1016/j.intfin.2004.07.002
  • Churchill, S. A., Inekwe, J. Ivanovski, K. ve Smyth, R. (2019). Dynamics of oil price, precious metal prices and the exchange rate in the long-run. Energy Economics, 84, 104508. https://doi.org/10.1016/j.eneco.2019.1045
  • Cui, J. (2023). The Relationship between the Gold Price, Crude Oil Price, Exchange Rate and Chinese Stock Market Indexes. Highlights in Business, Economics and Management, 10, 180-188. https://doi.org/10.54097/hbem.v10i.8037
  • Dai, X., Wang, Q. Zha, D. ve Zhou, D. (2020). Multi-scale dependence structure and risk contagion between oil, gold, and US exchange rate: A wavelet-based vine-copula approach. Energy Economics, 88, 104774. https://doi.org/10.1016/j.eneco.2020.104774
  • Dar, A. B. ve Maitra, D. (2017). Is gold a weak or strong hedge and safe haven against stocks? Robust evidences from three major gold-consuming countries. Applied Economics, 49(53), 5491-5503. https://doi.org/10.1080/00036846.2017.1310998
  • Ding, Q., Huang, J. ve Chen, J. (2021). Dynamic and frequency-domain risk spillovers among oil, gold, and foreign exchange markets: Evidence from implied volatility. Energy Economics, 102, 105514. https://doi.org/10.1016/j.eneco.2021.105514
  • El-Sharif, I., Brown, D. Burton, B. Nixon, B. ve Russell, A. (2005). Evidence on the nature and extent of the relationship between oil prices and equity values in the UK. Energy economics, 27(6), 819-830. https://doi.org/10.1016/j.eneco.2005.09.002
  • Elyasiani, E., Mansur, I. ve Odusami, B. (2011). Oil price shocks and industry stock returns. Energy Economics, 33(5), 966-974. https://doi.org/10.1016/j.eneco.2011.03.013
  • Farid, S., Kayani, G. M. Naeem, M. A. ve Shahzad, S. J. H. (2021). Intraday volatility transmission among precious metals, energy and stocks during the COVID-19 pandemic. Resources Policy, 72, 102101. https://doi.org/10.1016/j.resourpol.2021.102101
  • Forbes, K. (2012). The" Big C": identifying contagion. Natıonal Bureau Of Economıc Research. http://www.nber.org/papers/w18465
  • Forbes, K. ve Rigobon, R. (2001). Measuring contagion: conceptual and empirical issues. In International financial contagion (pp. 43-66). Boston, MA: Springer US. https://doi.org/10.1007/978-1-4757-3314-3_3
  • Foroutan, P. ve Lahmiri, S. (2024). Deep learning-based spatial-temporal graph neural networks for price movement classification in crude oil and precious metal markets. Machine Learning with Applications, 16, 100552. https://doi.org/10.1016/j.mlwa.2024.100552
  • Gaur, A. ve Bansal, M. (2010). A comparative study of gold price movements in Indian and global markets, Indian Journal of Finance, 4(2), 32-37
  • Ghanbari, H., Fooeik, A. Eskorouchi, A. ve Mohammadi, E. (2022). Investigating the effect of US dollar, gold and oil prices on the stock market. Journal of future sustainability, 2(3), 97-104. http://dx.doi.org/10.5267/j.jfs.2022.9.009
  • Ghosh D., Levin E. J. Macmillan P. ve Wright, R. E. (2004), Gold as an inflation hedge?, Studies in Economics and Finance, 22(1), 1-25. https://doi.org/10.1108/eb043380
  • Godil, D. I., Sarwat, S. Sharif, A. ve Jermsittiparsert, K. (2020). How oil prices, gold prices, uncertainty and risk impact Islamic and conventional stocks? Empirical evidence from QARDL technique. Resources Policy, 66, 101638. https://doi.org/10.1016/j.resourpol.2020.101638
  • Hammoudeh, S. ve Choi, K. (2006). Behavior of GCC stock markets and impacts of US oil and financial markets. Research in International Business and Finance, 20(1), 22-44. https://doi.org/10.1016/j.ribaf.2005.05.008
  • Haque, M. A., Topal, E. ve Lilford, E. (2015). Relationship between the gold price and the Australian dollar-US dollar exchange rate. Mineral Economics, 28, 65-78. https://doi.org/10.1007/s13563-015-0067-y
  • Hu, Z., Zhao, Y. ve Khushi, M. (2021). A survey of forex and stock price prediction using deep learning. Applied System Innovation, 4(1), 9. https://doi.org/10.3390/asi4010009
  • Huang, S., An, H. Gao, X. ve Huang, X. (2016). Time–frequency featured co-movement between the stock and prices of crude oil and gold. Physica A: Statistical Mechanics and its Applications, 444, 985-995. https://doi.org/10.1016/j.physa.2015.10.080
  • Jain, A. ve Biswal, P. C. (2016). Dynamic linkages among oil price, gold price, exchange rate, and stock market in India. Resources Policy, 49, 179-185. https://doi.org/10.1016/j.resourpol.2016.06.001
  • Khan, M. A., Khan, F. Sharif, A. ve Suleman, M. T. (2023). Dynamic linkages between Islamic equity indices, oil prices, gold prices, and news-based uncertainty: New insights from partial and multiple wavelet coherence. Resources Policy, 80, 103213. https://doi.org/10.1016/j.resourpol.2022.103213
  • Kiong, W. V., Aralas, S. ve Pinjaman, S. (2023). Islamic Stock Price and Exchange Rate: A Wavelet Analysis for ASEAN-5. Global Business and Management Research: An International Journal, 15(1), 142-148. https://gbmrjournal.com/pdf/v15n1/V15N1_11.pdf
  • Kisi, O. ve Cimen, M. (2011). A wavelet-support vector machine conjunction model for monthly streamflow forecasting. Journal of Hydrology, 399(1-2), 132-140. https://doi.org/10.1016/j.jhydrol.2010.12.041
  • Lei, L., Aziz, G. Sarwar, S. Waheed, R. ve Tiwari, A. K. (2023). Spillover and portfolio analysis for oil and stock market: A new insight across financial crisis, COVID-19 and Russian-Ukraine war. Resources Policy, 85, 103645. https://doi.org/10.1016/j.resourpol.2023.103645
  • Lin, L., Kuang, Y. Jiang, Y. ve Su, X. (2019). Assessing risk contagion among the Brent crude oil market, London gold market and stock markets: Evidence based on a new wavelet decomposition approach. The North American Journal of Economics and Finance, 50, 101035. https://doi.org/10.1016/j.najef.2019.101035
  • Mahdavi, S. ve Zhou, S. (1997). Gold and commodity prices as leading indicators of inflation: Tests of long-run relationship and predictive performance. Journal of Economics and Business, 49(5), 475-489. https://doi.org/10.1016/S0148-6195(97)00034-9
  • Malhotra, A. ve Chintanpalli, A. (2020). A real time wavelet filtering for ECG baseline wandering removal. In 2020 International Conference on Artificial Intelligence and Signal Processing (AISP) (pp. 1-5). IEEE. https://doi.org/10.1109/AISP48273.2020.9073007
  • Mariani, M. C., Tweneboah, O. K., Bhuiyan, M. A. M., Beccar-Varela, M. P., & Florescu, I. (2023). Classification of Financial Events and Its Effects on Other Financial Data. Axioms, 12(4), 372. https://doi.org/10.3390/axioms12040372
  • Mejri, S., Aloui, C. ve Khan, N. (2024). The gold stock nexus: Assessing the causality dynamics based on advanced multiscale approaches. Resources Policy, 88, 104395. https://doi.org/10.1016/j.resourpol.2023.104395
  • Mensi, W., Yousaf, I. Vo, X. V. ve Kang, S. H. (2023). Multifractality during upside/downside trends in the MENA stock markets: the effects of the global financial crisis, oil crash and COVID-19 pandemic. International Journal of Emerging Markets, 18(10), 4408-4435. https://doi.org/10.1108/IJOEM-08-2021-1177
  • Mittal, P. (2023). Wavelet transformation and predictability of Gold Price Index Series with ARMA model. Int. J. Exp. Res. Rev, 30, 127-133. https://doi.org/10.52756/ijerr.2023.v30.014
  • Mohammadzadeh, S., Shahiki Tash, M. N. ve Zinati, K. (2021). Investigation Time–frequency co-movement between the Tehran Stock Price Index and prices of oil and gold using Multiple Wavelet Coherence. Quarterly Journal of Quantitative Economics, 18(2), 57-70. https://doi.org/10.1108/JES-05-2022-0267
  • Mohiuddin, I., Alvi, J. Inam, S. G. ve Rehan, M. (2021). Impact of crude oil, exchange rate and gold price on KSE100 index: Before veduring Covid-19 Pandemic by using VAR model. The journal of contemporary issues in business and government, 27(6), 420-439. https://tinyurl.com/3cp6npbf
  • Mudiangombe, B. M. ve Mwamba, J. W. M. (2023). Dependence Structure and Time–Frequency Impact of Exchange Rates on Crude Oil and Stock Markets of BRICS Countries: Markov-Switching-Based Wavelet Analysis. Journal of Risk and Financial Management, 16(7), 319. https://doi.org/10.3390/jrfm16070319
  • Mustafa, G., Sarwar, B. ve Badar, S. (2020). Volatility transmission among stock prices, exchange rate, interest rate and gold prices of Pakistan. Paradigms, SI(1), 104-110. https://tinyurl.com/3zp9fhyt
  • Nekhili, R., Ziadat, S. A. ve Mensi, W. (2024). Frequency interdependence and portfolio management between gold, oil and sustainability stock markets. International Economics, 178, 100476. https://doi.org/10.1016/j.inteco.2023.100476
  • Nguyen, T. T. H., Naeem, M. A. Balli, F. Balli, H. O. ve Vo, X. V. (2021). Time-frequency comovement among green bonds, stocks, commodities, clean energy, and conventional bonds. Finance Research Letters, 40, 101739. https://doi.org/10.1016/j.pacfin.2022.101712
  • Nham, N. T. H. (2022). An application of a TVP-VAR extended joint connected approach to explore connectedness between WTI crude oil, gold, stock and cryptocurrencies during the COVID-19 health crisis. Technological Forecasting and Social Change, 183, 121909. https://doi.org/10.1016/j.techfore.2022.121909
  • Pandit, S. ve Luo, X. (2024). A novel prediction model to evaluate the dynamic interrelationship between gold and crude oil. International Journal of Data Science and Analytics, 1-22. https://doi.org/10.1007/s41060-024-00519-8
  • Pazoki, N., Hamidian, A. Mohammadi, S. ve Mahmoudi, V. (2013). Correlation analysis of stock exchange index, oil price, exchange rate and gold price: A wavelet decomposition method. Journal of Investment Knowledge, 2(Güz 1392), 131-148.‎ http://www.jik-ifea.ir/article_7513.html?lang=en
  • Rafiuddin, A., Daffodils, J. Gaytan, J. C. T. ve Sisodia, G. S. (2021). Trend of oil prices, gold, GCC stocks market during covid-19 pandemic: a wavelet approach. International Journal of Energy Economics And Policy, 11(4), 560-572. https://doi.org/10.32479/ijeep.11365
  • Rastogi, S. (2016). Gold price, crude oil, exchange rate and stock markets: cointegration and neural network analysis. International Journal of Corporate Finance and Accounting (IJCFA), 3(2), 1-13. https://doi.org/10.4018/IJCFA.2016070101
  • Raza Rabbani, M., Hassan, M. K. Jamil, S. A. Sahabuddin, M. ve Shaik, M. (2024). Revisiting the impact of geopolitical risk on Sukuk, stocks, oil and gold markets during the crises period: fresh evidence from wavelet-based approach. Managerial Finance, 50(3), 514-533. https://doi.org/10.1108/MF-12-2022-0587
  • Rua, A. ve Nunes, L. C. (2009). International comovement of stock market returns: A wavelet analysis. Journal of Empirical Finance, 16(4), 632-639. https://doi.org/10.1016/j.jempfin.2009.02.002
  • Sahadudheen, I. ve Kumar, P. K. (2024). The Volatility Spillover Between Global Crude Oil and Gold Market: Evidence from Wavelet Coherence and Cross-power Spectrum Models. Computational Economics, 1-18. https://doi.org/10.1007/s10614-024-10819-7
  • Sharif, A., Aloui, C. ve Yarovaya, L. (2020). COVID-19 pandemic, oil prices, stock market, geopolitical risk and policy uncertainty nexus in the US economy: Fresh evidence from the wavelet-based approach. International Review of Financial Analysis, 70, 101496. https://doi.org/10.1016/j.irfa.2020.101496
  • Sheikh, U. A., Asad, M. Ahmed, Z. ve Mukhtar, U. (2020). Asymmetrical relationship between oil prices, gold prices, exchange rate, and stock prices during global financial crisis 2008: Evidence from Pakistan. Cogent Economics ve Finance, 8(1), 1757802. https://doi.org/10.1080/23322039.2020.1757802
  • Singhal, S., Choudhary, S. ve Biswal, P. C. (2019). Return and volatility linkages among International crude oil price, gold price, exchange rate and stock markets: Evidence from Mexico. Resources policy, 60, 255-261. https://doi.org/10.1016/j.resourpol.2019.01.004
  • Sizer, L. (2024). Asymmetric causalty relationship between alternative investment instruments and stock prices: The Türkiye sample. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, 14(1), 219-234. https://doi.org/10.30783/nevsosbilen.1413676
  • Smith, G. (2002). London gold prices and stock price indices in Europe and Japan. World Gold Council, 9(2), 1-30. https://tinyurl.com/8abzj3ry
  • Soni, R. K., Nandan, T. ve Chatnani, N. N. (2023). Dynamic association of economic policy uncertainty with oil, stock and gold: A wavelet-based approach. Journal of Economic Studies, 50(7), 1501-1525. https://doi.org/10.1108/JES-05-2022-0267
  • Sujit, K. S. ve Kumar, B. R. (2011). Study on dynamic relationship among gold price, oil price, exchange rate and stock market returns. International Journal of Applied Business and Economic Research, 9(2), 145-165.
  • Sumner, S., Johnson, R. ve Soenen, L. (2010). Spillover effects among gold, stocks, and bonds. Journal of centrum Cathedra, 3(2), 106-120. https://ssrn.com/abstract=1806036
  • Thakolsri, S. (2021). Modeling the relationships among gold price, oil price, foreign exchange, and the stock market index in Thailand. Investment Management and Financial Innovations, 18(2), 261-272. http://dx.doi.org/10.21511/imfi.18(2).2021.21
  • Tiwari, A. K. ve Sahadudheen, I. (2015). Understanding the nexus between oil and gold. Resources Policy, 46, 85-91. https://doi.org/10.1016/j.resourpol.2015.09.003
  • Torrence, C. ve Compo, G. P. (1998). A practical guide to wavelet analysis. Bulletin of the American Meteorological Society, 79(1), 61-78. https://tinyurl.com/4szfhxyn
  • Torrence, C. ve Webster, P. J. (1999). Interdecadal changes in the ENSO–monsoon system. Journal of Climate, 12(8), 2679-2690. https://tinyurl.com/4bstuedz
  • Tsen, W. H. ve Yun, S. X. (2024). The asymmetric impact of real effective exchange rate, real oil prıce and real gold price on real stock prices in selected east asian economies. Labuan e-Journal of Muamalat and Society (LJMS), 18(2), 11-22. https://doi.org/10.51200/ljms.v18i2.5069
  • Tursoy, T. ve Faisal, F. (2018). The impact of gold and crude oil prices on stock market in Turkey: Empirical evidences from ARDL bounds test and combined cointegration. Resources Policy, 55, 49-54. https://doi.org/10.1016/j.resourpol.2017.10.014
  • Umar, M., Riaz, Y. ve Yousaf, I. (2022). Impact of Russian-Ukraine war on clean energy, conventional energy, and metal markets: Evidence from event study approach. Resources Policy, 79, 102966. https://doi.org/10.1016/j.resourpol.2022.102966
  • Wang, X., Lucey, B. ve Huang, S. (2022). Can gold hedge against oil price movements: Evidence from GARCH-EVT wavelet modeling. Journal of Commodity Markets, 27, 100226. https://doi.org/10.1016/j.jcomm.2021.100226
  • Wen, D., Zhao, T. Fang, L. Zhang, C. ve Li, X. (2024). MWDINet: A multilevel wavelet decomposition interaction network for stock price prediction. Expert Systems with Applications, 238, 122091. https://doi.org/10.1016/j.eswa.2023.122091
  • Worthington, A. C. ve Pahlavani, M. (2007). Gold investment as an inflationary hedge: Cointegration evidence with allowance for endogenous structural breaks. Applied Financial Economics Letters, 3(4), 259-262. https://doi.org/10.1080/17446540601118301
  • Wu, T., An, F., Gao, X. ve Wang, Z. (2023). Hidden causality between oil prices and exchange rates. Resources Policy, 82, 103512. https://doi.org/10.1016/j.resourpol.2023.103512
  • Younis, I., Shah, W. U. ve Yousaf, I. (2023). Static and dynamic linkages between oil, gold and global equity markets in various crisis episodes: Evidence from the Wavelet TVP-VAR. Resources Policy, 80, 103199. https://doi.org/10.1016/j.resourpol.2022.103199
  • Yousaf, I. (2021). Risk transmission from the COVID-19 to metals and energy markets. Resources Policy, 73, 102156. https://doi.org/10.1016/j.resourpol.2021.102156
  • Yousaf, I. ve Yarovaya, L. (2022). Static and dynamic connectedness between NFTs, Defi and other assets: Portfolio implication. Global Finance Journal, 53, 100719. https://doi.org/10.1016/j.gfj.2022.100719
  • Yousuf, A. ve Nilsson, F. (2013). Impact of exchange rates on Swedish stock performances: Empirical study on USD and EUR exchange rates on the Swedish stock market. https://tinyurl.com/4rue2n8z
  • Zhang, Y. J. ve Wei, Y. M. (2010). The crude oil market and the gold market: Evidence for cointegration, causality and price discovery. Resources Policy, 35(3), 168-177. https://doi.org/10.1016/j.resourpol.2010.05.003
  • Zhao, W. ve Wang, Y. D. (2022). On the time-varying correlations between oil-, gold-, and stock markets: The heterogeneous roles of policy uncertainty in the US and China. Petroleum Science, 19(3), 1420-1432. https://doi.org/10.1016/j.petsci.2021.11.015
There are 89 citations in total.

Details

Primary Language Turkish
Subjects Finance
Journal Section Research Papers
Authors

Nuray Yüzbaşıoğlu 0000-0001-7409-4263

Early Pub Date October 17, 2025
Publication Date October 21, 2025
Submission Date November 26, 2024
Acceptance Date May 16, 2025
Published in Issue Year 2025 Volume: 10 Issue: 28

Cite

APA Yüzbaşıoğlu, N. (2025). BIST 100, Döviz Kuru, Altın ve Petrol Fiyatları Arasındaki Etkileşimlerin Zaman ve Frekans Boyutunda Analizi. İktisadi İdari Ve Siyasal Araştırmalar Dergisi, 10(28), 638-663. https://doi.org/10.25204/iktisad.1591691
AMA Yüzbaşıoğlu N. BIST 100, Döviz Kuru, Altın ve Petrol Fiyatları Arasındaki Etkileşimlerin Zaman ve Frekans Boyutunda Analizi. JEBUPOR. October 2025;10(28):638-663. doi:10.25204/iktisad.1591691
Chicago Yüzbaşıoğlu, Nuray. “BIST 100, Döviz Kuru, Altın Ve Petrol Fiyatları Arasındaki Etkileşimlerin Zaman Ve Frekans Boyutunda Analizi”. İktisadi İdari Ve Siyasal Araştırmalar Dergisi 10, no. 28 (October 2025): 638-63. https://doi.org/10.25204/iktisad.1591691.
EndNote Yüzbaşıoğlu N (October 1, 2025) BIST 100, Döviz Kuru, Altın ve Petrol Fiyatları Arasındaki Etkileşimlerin Zaman ve Frekans Boyutunda Analizi. İktisadi İdari ve Siyasal Araştırmalar Dergisi 10 28 638–663.
IEEE N. Yüzbaşıoğlu, “BIST 100, Döviz Kuru, Altın ve Petrol Fiyatları Arasındaki Etkileşimlerin Zaman ve Frekans Boyutunda Analizi”, JEBUPOR, vol. 10, no. 28, pp. 638–663, 2025, doi: 10.25204/iktisad.1591691.
ISNAD Yüzbaşıoğlu, Nuray. “BIST 100, Döviz Kuru, Altın Ve Petrol Fiyatları Arasındaki Etkileşimlerin Zaman Ve Frekans Boyutunda Analizi”. İktisadi İdari ve Siyasal Araştırmalar Dergisi 10/28 (October2025), 638-663. https://doi.org/10.25204/iktisad.1591691.
JAMA Yüzbaşıoğlu N. BIST 100, Döviz Kuru, Altın ve Petrol Fiyatları Arasındaki Etkileşimlerin Zaman ve Frekans Boyutunda Analizi. JEBUPOR. 2025;10:638–663.
MLA Yüzbaşıoğlu, Nuray. “BIST 100, Döviz Kuru, Altın Ve Petrol Fiyatları Arasındaki Etkileşimlerin Zaman Ve Frekans Boyutunda Analizi”. İktisadi İdari Ve Siyasal Araştırmalar Dergisi, vol. 10, no. 28, 2025, pp. 638-63, doi:10.25204/iktisad.1591691.
Vancouver Yüzbaşıoğlu N. BIST 100, Döviz Kuru, Altın ve Petrol Fiyatları Arasındaki Etkileşimlerin Zaman ve Frekans Boyutunda Analizi. JEBUPOR. 2025;10(28):638-63.