The Effect of Shockes of Selected Domestic and Foreign Markets on the Volatilities of Investment Return in Tehran Stock Exchange: DCC-FIAPARCH Model
Subject Areas :
Journal of Investment Knowledge
Leila Argha
1
,
Mohammad Mowlaei
2
,
Abolfazl Shahabadi
3
,
Mohsen Khezri
4
1 - Ph.D candidate in Economics, Department of Economics, Bu-Ali Sina University, Hamedan, Iran
2 - Associate professor, Department of Economics, Bu-Ali Sina University, Hamedan, Iran
3 - Professor, Faculty of social sciences and Economics, Alzahra university, Tehran, Iran,
4 - Assistant professor, Department of Economics, Bu-Ali Sina University, Hamedan, Iran
Received: 2019-01-15
Accepted : 2019-03-04
Published : 2021-03-21
Keywords:
: Stocks,
Dynamic conditional correlation,
DCC-FIAPARCH,
foreign assets,
domestic assets,
Abstract :
One of the features of a financial market, the stock market in particular, is its affectability from other financial and non-financial markets. regarding the importance of this issue, the present study aimed at investigating the dynamic conditional correlation (DCC) between the returns on the domestic and foreign assets in monthly data (oil, industry, exchange and base metals including total, copper, steel) and returns on the stock price index in Iran during March 2001 to April 2017 using the DCC-FIAPARCH approach. The obtained results indicated a statistically significant and positive DCC coefficient difference between the metals, industrial products, and copper returns with the stocks returns. Consequently, it is not possible to put each of these assets with the stocks in an identical situation (purchase or sale), but instead they should be always placed in opposite situations for the purpose of risk control. However, with regard to other assets, the DCC was not significant; accordingly, the assets can be placed in the investment portfolio together with the stocks although the presence of such assets in the given portfolio did not help to reduce the portfolio risk.
References:
پایتختی اسکویی، سید علی، و شافعی، (1393). بررسی تاثیر نوسانات قیمت نفت بر تغییرات شاخص قیمت سهام در ایران. فصلنامه مطالعات اقتصاد انرژی، سال دهم،،229، 205-43.
خطیب سمنانی، محمدعلی، شجاعی، و غیاثی خسروشاهی، (1393). بررسی اثر نوسانات قیمت نفت خام بر شاخص بازدهی بورس اوراق بهادار تهران، فصلنامه علوم اقتصادی، سال هشتم، 29، 114-89.
حیدری، حسن، و ملابهرامی، (1389). بهینهسازی سبد سرمایهگذاری سهام بر اساس مدلهای چنذ متغیره GARCH: شواهدی از بورس اوراق بهادار تهران. مجله تحقیقات مالی،30، 56-35.
رسولی، احمد، حسینی نسب، سیدابراهیم، و خضری، (1390). تعیین اثرات نوسانات قیمت نفت بر روی بازده سهام بورس اوراق بهادار تهران: آنالیز موجک و راه گزینی مارکف، فصلنامه مطالعات اقتصاد انرژی، شماره 29، 60-31.
زاهدی تهرانی، پریوش (1390). تعیین راهبرد سرایت نوسانات بازارهای سرمایه بینالمللی بر بورس اوراق بهادار تهران. مجله مطالعات مدیریت راهبردی،153، 131-11.
صمدی، سعید، و بیانی، (1390). بررسی ارتباط متغیرهای کلان اقتصادی و بازده سهام در بورس اوراق بهادار تهران، فصلنامه اقتصاد مالی، 112-91.
صمدی، سعید، شیرانی فخر، و داوودزاده، (1386). بررسی میزان اثرپذیری شاخص قیمت سهام بورس اوراق بهادار تهران از قیمت جهانی نفت و طلا (مدلسازی و پیش بینی). فصلنامه اقتصاد مقداری، دوره چهارم، 51، 25-4.
فلاحی، فیروز، حقیقت، صنوبر، و جهانگیری، (1393). بررسی همبستگی بین تلاطم بازار سهام، ارز و سکه در ایران با استفاده از مدل DCC-GARCH. فصلنامه پژوهش اقتصادی، سال چهاردهم،147،123-52.
وکیلی فرد، حمیدرضا، و علی فری، (1394). تاثیر نوسانات نرخ ارز بر بازدهی شرکت های پذیرفته شده در بورس اوراق بهادار تهران. فصلنامه علوم اقتصادی، سال نهم، 30، 98-83.
Aloui, C, Jammazy., & Dhakhlaoui, (2008), Crude Oil Volatility and Stock Market Returns, Journal of Energy Markets, 1, 69–96.
Arfaoui, M, & Rejeb, (2016), Oil, Gold, US dollar and Stock market interdependencies :A glibal analytical insight, Journal of Mpra Paper, 70452. Reetrieved from: http://mpra .ub.uni-muuenchen.
Basher, S.A, & Sadorsky, (2006), Oil price risk and emerging stock markets, Global Finance Journal, 17, 224-251.
D.C, Filis, (2014), Oil price shocks and stock market returns: New evidence from the United States and China, Journal of International Financial Markets- Institutions and Money ,33, 417-433.
Branson, W.H, (1983), Macroeconomic determinants of real exchange risk. In: Herring, R.J. (Ed.), Managing Foreign Exchange Risk. Cambridge: Cambridge University Press.
D.C., & Filis, (2014), Oil price shocks and stock market returns: New evidence from the United States and China, Journal of International Financial Markets- Institutions and Money, 33, 417-433.
Chen, K., & Wang, (2017), Does Gold Act as a Hedge and a Safe Haven for China’s Stock Market?, International Journal o f Financial Studies.
Chowdhury, P.R, & Anuradha, (2018), Impact of exchange rate fluctuation on stock market volantinity - a study to predict the economic scenario in India, Journal of Pure and Applied Mathematics, 118, 4309-4316.
Classens, S, & Forbes, (2004), International Financial Contagion: The Theory, Evidence and Policy Implications, For the Conference, The IMF´s Role in Emerging Market Economies: Reassessing the Adequacy of its Resources‘ organized by RBWC, DNB and WEF in Amsterdam on November 18-19.
Degiannakis, S, Filis, & Arora, (2017) Oil Prices and Stock Markets. U.S. Energy Information Administration Washington, DC 20585, https://www.eia.gov.
Dornbush, R., & Fisher, (1980), Exchange rates and the current account, The American Economic Review, 70, 960–971.
El-Sharif, I, Brown, Burton, Nixon, & Russell, (2005), Evidence on the nature and extent of the relationship between oil prices and equity values in UK, Energy Economics, 27, 819-30.
Engle, R.F, (2002), Dynamic conditional correlation - a simple class of multivariate GARCH models, Journal of Business and Economic Statistics, 20(3), 339-350.
Gavin, M, (1989), The Stock Market and Exchange rate dynamics, Journal of International Money and Finance, 8( 2), 181-200.
Garin, J, Lester, & Sims, (2016), Are Supply Shocks Contractionary at the Zlb?
Evidence from Utilization-Adjusted Tfp Data, NBER Working, 22311.
Jammazi, R, & Aloui, (2009), Wavelet Decomposition and Regime Shifts: Assessing the Effects of Crude Oil Shocks on Stock Market Returns, Energy Policy, 38(3), 1415-1435.
Jones, C.M, & Kaul, (1996), Oil and the Stock Markets, Journal of American Finance Association, 51, 463–491.
Q, L., Yang, Huiuo, & Chang, (2005), The Relationship between Stock Returns and Volatility in International Stock Markets, Journal of Empirical Finance, 12, 650-665.
Lu, F, Qiao, Wang, Lai, & Li, (2017), Time-varying coefficient vector autoregressions model based on dynamic correlation with an application to crude oil and stock markets Original Research Article, Environmental Research, 152, 351-359.
Manisha, Dey, (2017),Study in Copper price linkage between international and Indian commodity market, Department- Amity Business School, Amity University, Kolkata.
Markowitz, H, (1952), Portfolio Selection. The Journal of Finance, 7, 77-91.
Mensi, W, Beljid, Boubaker, & Managi, (2013), Correlations and volatility spillovers across commodity and stock markets: linking energies, food, and gold, Economic Model, 32, 15–22.
Mensi, W., Hammoudeh, Nguyen, & Yoon, ( 2014), Dynamic spillovers among major energy and cereal commodity prices, Energy Econ, 43, 225–243.
Sadorsky, P, (2014), Modeling volatility and correlations between emerging market stock prices and the prices of copper, oil and wheat, Journal of Energy Econ, 43, 72–81.
Sadorsky, P, (1999), Oil price shocks and stock market activity, Energy Economics, 21, 449–469.
Serletis, A., & Xu, (2017), The Zero Lower Bound and Crude Oil and Financial Markets Spillovers, Macroeconomic Dynamics (forthcoming).
Silvennoinen, A., & Thorp, (2013), Financialization, crisis and commodity correlation dynamics, Journal of Financ Mark Inst Money, 24, 42–65.
Tse, Y, (1998), The conditional heteroscedasticity of the yen–dollar exchange rate, J. Appl. Econ, 13, 49-55.
Young, P, (2006), Industrial production and stock returns (Master's Thesis, University of Simon Fraser, Canada), Retrieved from Finding SFU Theses and Projects
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