A.S.M. Sohel Azad

Personal Details

First Name:	A.S.M.
Middle Name:	Sohel
Last Name:	Azad
Suffix:
RePEc Short-ID:	paz38
	[This author has chosen not to make the email address public]
	School of Accounting, Economics and Finance, Deakin University, 221 Burwood Highway, Victoria 3125, Australia
	+61392446873
Terminal Degree:	2011 Department of Banking and Finance; Monash Business School; Monash University (from RePEc Genealogy)

Affiliation

Department of Economics
Business School
Deakin University

Melbourne, Australia
http://www.deakin.edu.au/business/economics
RePEc:edi:sedeaau (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Abdelaziz Chazi & Ali Mirzaei & Zaher Zantout & Asm Sohel Azad, 2020. "Does the size of Islamic banking matter for industry growth: international evidence," Applied Economics, Taylor & Francis Journals, vol. 52(4), pages 361-374, January.

   Cited by:

   1. Xiaojuan He & Dervis Kirikkaleli & Melike Torun & Zecheng Li, 2021. "Modeling Economic Risk in the QISMUT Countries: Evidence From Nonlinear Cointegration Tests," SAGE Open, , vol. 11(4), pages 21582440211, October.
   2. Khan, Abdullah & Rizvi, Syed Aun R. & Ali, Mohsin & Haroon, Omair, 2021. "A survey of Islamic finance research – Influences and influencers," Pacific-Basin Finance Journal, Elsevier, vol. 69(C).

2. Mohammad Zoynul Abedin & Chi Guotai & Fahmida–E– Moula & A.S.M. Sohel Azad & Mohammed Shamim Uddin Khan, 2019. "Topological applications of multilayer perceptrons and support vector machines in financial decision support systems," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 474-507, January.

   Cited by:

   1. Yang, Haijun & Xue, Feng, 2021. "Analysis of stock market volatility: Adjusted VPIN with high-frequency data," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 210-222.
   2. Salman Bahoo & Marco Cucculelli & Xhoana Goga & Jasmine Mondolo, 2024. "Artificial intelligence in Finance: a comprehensive review through bibliometric and content analysis," SN Business & Economics, Springer, vol. 4(2), pages 1-46, February.
   3. Abedin, Mohammad Zoynul & Hajek, Petr & Sharif, Taimur & Satu, Md. Shahriare & Khan, Md. Imran, 2023. "Modelling bank customer behaviour using feature engineering and classification techniques," Research in International Business and Finance, Elsevier, vol. 65(C).
   4. Ying Zhou & Xia Lin & Guotai Chi & Peng Jin & Mengtong Li, 2024. "EWT‐SMOTE to improve default prediction performance in imbalanced data: Analysis of Chinese data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(3), pages 615-643, April.
   5. Sun, Weixin & Zhang, Xuantao & Li, Minghao & Wang, Yong, 2023. "Interpretable high-stakes decision support system for credit default forecasting," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
   6. Zhao, Yang & Goodell, John W. & Wang, Yong & Abedin, Mohammad Zoynul, 2023. "Fintech, macroprudential policies and bank risk: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 87(C).
   7. Chi, Guotai & Dong, Bingjie & Zhou, Ying & Jin, Peng, 2024. "Long-horizon predictions of credit default with inconsistent customers," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
   8. Zhao, Yang & Goodell, John W. & Dong, Qingli & Wang, Yong & Abedin, Mohammad Zoynul, 2022. "Overcoming spatial stratification of fintech inclusion: Inferences from across Chinese provinces to guide policy makers," International Review of Financial Analysis, Elsevier, vol. 84(C).
   9. Bouteska, Ahmed & Hajek, Petr & Fisher, Ben & Abedin, Mohammad Zoynul, 2023. "Nonlinearity in forecasting energy commodity prices: Evidence from a focused time-delayed neural network," Research in International Business and Finance, Elsevier, vol. 64(C).
   10. Durak, İsmail & Çi̇se, Sena Nur & Yazıcı, Selim, 2024. "Developing a financial technology (FinTech) adoption scale: A validity and reliability study," Research in International Business and Finance, Elsevier, vol. 70(PB).
   11. Evangelos Liaras & Michail Nerantzidis & Antonios Alexandridis, 2024. "Machine learning in accounting and finance research: a literature review," Review of Quantitative Finance and Accounting, Springer, vol. 63(4), pages 1431-1471, November.

3. Azad, A.S.M.S. & Azmat, Saad & Chazi, Abdelaziz & Ahsan, Amirul, 2018. "Can Islamic banks have their own benchmark?," Emerging Markets Review, Elsevier, vol. 35(C), pages 120-136.

   Cited by:

   1. Azad, A.S.M. Sohel & Azmat, Saad & Hayat, Aziz, 2023. "What determines the profitability of Islamic banks: Lending or fee?," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 882-896.
   2. Ghlamallah, Ezzedine & Alexakis, Christos & Dowling, Michael & Piepenbrink, Anke, 2021. "The topics of Islamic economics and finance research," International Review of Economics & Finance, Elsevier, vol. 75(C), pages 145-160.
   3. Azmat, Saad & Kabir Hassan, M. & Ali, Haiqa & Sohel Azad, A.S.M., 2021. "Religiosity, neglected risk and asset returns: Theory and evidence from Islamic finance industry," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
   4. Amine Ben Amar, 2019. "The Effectiveness of Monetary Policy Transmission in a Dual Banking System: Further Insights from TVP-VAR Model," Economics Bulletin, AccessEcon, vol. 39(4), pages 2317-2332.
   5. Rouetbi, Marwene & Ftiti, Zied & Omri, Abdelwahed, 2023. "The impact of displaced commercial risk on the performance of Islamic banks," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
   6. Nechi, Salem & Smaoui, Houcem Eddine, 2019. "Interbank offered rates in Islamic countries: Is the Islamic benchmark different from the conventional benchmarks?," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 75-84.
   7. Amine Ben Amar, 2022. "On the role of Islamic banks in the monetary policy transmission in Saudi Arabia," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 12(1), pages 55-94, March.
   8. Jardine A. Husman & Ali Sakti & Dahnila Dahlan & Imam Wahyudi Indrawan & Zaäfri A. Husodo & Nur Dhani Hendranastiti & Muhammad Budi Prasetyo & Wahyu Jatmiko, 2022. "On The Development Of The Islamic Benchmark Rate: An Indonesian Case," Working Papers WP/04/2022, Bank Indonesia.

4. Azad, A.S.M.S. & Azmat, Saad & Chazi, Abdelaziz & Ahsan, Amirul, 2018. "Sailing with the non-conventional stocks when there is no place to hide," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 57(C), pages 1-16.

   Cited by:

   1. Ahmed, Walid M.A., 2021. "How do Islamic equity markets respond to good and bad volatility of cryptocurrencies? The case of Bitcoin," Pacific-Basin Finance Journal, Elsevier, vol. 70(C).
   2. Hasan, Md. Bokhtiar & Mahi, Masnun & Hassan, M. Kabir & Bhuiyan, Abul Bashar, 2021. "Impact of COVID-19 pandemic on stock markets: Conventional vs. Islamic indices using wavelet-based multi-timescales analysis," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
   3. Husain, Afzol & Karim, Sitara & Sensoy, Ahmet, 2024. "Financial fusion: Bridging Islamic and Green investments in the European stock market," International Review of Financial Analysis, Elsevier, vol. 94(C).
   4. Hasan, Md. Bokhtiar & Kabir Hassan, M. & Gider, Zeynullah & Tahsin Rafia, Humaira & Rashid, Mamunur, 2023. "Searching hedging instruments against diverse global risks and uncertainties," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
   5. Chazi, Abdelaziz & Samet, Anis & Azad, A.S.M. Sohel, 2023. "Volatility and correlation of Islamic and conventional indices during crises," Global Finance Journal, Elsevier, vol. 55(C).
   6. Bouri, Elie & Gök, Remzi & Gemi̇ci̇, Eray & Kara, Erkan, 2024. "Do geopolitical risk, economic policy uncertainty, and oil implied volatility drive assets across quantiles and time-horizons?," The Quarterly Review of Economics and Finance, Elsevier, vol. 93(C), pages 137-154.
   7. Karim, Sitara & Lucey, Brian M. & Naeem, Muhammad Abubakr & Vigne, Samuel A., 2023. "The dark side of Bitcoin: Do Emerging Asian Islamic markets help subdue the ethical risk?," Emerging Markets Review, Elsevier, vol. 54(C).
   8. Hasan, Md. Bokhtiar & Hassan, M. Kabir & Rashid, Md. Mamunur & Alhenawi, Yasser, 2021. "Are safe haven assets really safe during the 2008 global financial crisis and COVID-19 pandemic?," Global Finance Journal, Elsevier, vol. 50(C).
   9. shear, Falik & Ashraf, Badar Nadeem, 2022. "The performance of Islamic versus conventional stocks during the COVID-19 shock: Evidence from firm-level data," Research in International Business and Finance, Elsevier, vol. 60(C).
   10. Hasan, Md. Bokhtiar & Rashid, Md. Mamunur & Shafiullah, Muhammad & Sarker, Tapan, 2022. "How resilient are Islamic financial markets during the COVID-19 pandemic?," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
   11. Shabeer Khan & Niaz Ahmed Bhutto & Uzair Abdullah Khan & Mohd Ziaur Rehman & Wadi B. Alonazi & Abdullah Ludeen, 2022. "Ṣukūk or Bond, Which Is More Sustainable during COVID-19? Global Evidence from the Wavelet Coherence Model," Sustainability, MDPI, vol. 14(17), pages 1-20, August.
   12. Akbar, Muhammad & Ullah, Ihsan & Ali, Shahid & Rehman, Naser, 2024. "Adaptive market hypothesis: A comparison of Islamic and conventional stock indices," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 460-477.
   13. Naeem, Muhammad Abubakr & Qureshi, Fiza & Arif, Muhammad & Balli, Faruk, 2021. "Asymmetric relationship between gold and Islamic stocks in bearish, normal and bullish market conditions," Resources Policy, Elsevier, vol. 72(C).
   14. Gad, Samar & Andrikopoulos, Panagiotis, 2019. "Diversification benefits of Shari'ah compliant equity ETFs in emerging markets," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 133-144.
   15. Muhammad Anas & Ghulam Mujtaba & Sadaf Nayyar & Saira Ashfaq, 2020. "Time-Frequency Based Dynamics of Decoupling or Integration between Islamic and Conventional Equity Markets," JRFM, MDPI, vol. 13(7), pages 1-27, July.
   16. Delle Foglie, Andrea & Panetta, Ida Claudia, 2020. "Islamic stock market versus conventional: Are islamic investing a ‘Safe Haven’ for investors? A systematic literature review," Pacific-Basin Finance Journal, Elsevier, vol. 64(C).

5. Azad, A.S.M. Sohel & Chazi, Abdelaziz & Cooper, Peter & Ahsan, Amirul, 2018. "What determines the Japanese corporate credit spread? A new evidence," Research in International Business and Finance, Elsevier, vol. 45(C), pages 349-356.
   • Azad, A.S.M. Sohel & Chazi, Abdelaziz & Cooper, Peter & Ahsan, Amirul, 2017. "What determines the Japanese corporate credit spread? A new evidence," Research in International Business and Finance, Elsevier, vol. 41(C), pages 354-361.

   Cited by:

   1. Gunay, Samet, 2020. "Seeking causality between liquidity risk and credit risk: TED-OIS spreads and CDS indexes," Research in International Business and Finance, Elsevier, vol. 52(C).
   2. Bhanu Pratap Singh Thakur & M. Kannadhasan & Vinay Goyal, 2018. "Determinants of corporate credit spread: evidence from India," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 45(1), pages 59-73, March.
   3. Jiang, Yong & Liu, Cenjie & Xie, Rui, 2021. "Oil price shocks and credit spread: Structural effect and dynamic spillover," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
   4. Li, Xiao-Lin & Li, Xin & Si, Deng-Kui, 2020. "Asymmetric determinants of corporate bond credit spreads in China: Evidence from a nonlinear ARDL model," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).

6. Khalil Al-Hilu & A. S. M. Sohel Azad & Abdelaziz Chazi & Ashraf Khallaf, 2017. "Investors’ Behavior in an Emerging, Tax-Free Market," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 53(7), pages 1573-1588, July.

   Cited by:

   1. Dupuis, Daniel, 2019. "Ex-dividend day price behavior and liquidity in a tax-free emerging market," Emerging Markets Review, Elsevier, vol. 38(C), pages 239-250.

7. Sohel Azad, A.S.M. & Batten, Jonathan A. & Fang, Victor & Wickramanayake, Jayasinghe, 2015. "International swap market contagion and volatility," Economic Modelling, Elsevier, vol. 47(C), pages 355-371.

   Cited by:

   1. Morales-Zumaquero, Amalia & Sosvilla-Rivero, Simón, 2018. "Volatility spillovers between foreign exchange and stock markets in industrialized countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 70(C), pages 121-136.
   2. Sewraj, Deeya & Gebka, Bartosz & Anderson, Robert D.J., 2019. "Day-of-the-week effects in financial contagion," Finance Research Letters, Elsevier, vol. 28(C), pages 221-226.
   3. Gómez-Puig, Marta & Sosvilla-Rivero, Simón, 2016. "Causes and hazards of the euro area sovereign debt crisis: Pure and fundamentals-based contagion," Economic Modelling, Elsevier, vol. 56(C), pages 133-147.

8. Azad, A.S.M. Sohel & Batten, Jonathan A. & Fang, Victor, 2015. "What determines the yen swap spread?," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 1-13.

   Cited by:

   1. A. S. M. Sohel Azad & Aziz Hayat & Huson Joher Ali Ahmed, 2024. "Does the energy sector serve as a hedge and safe haven?," Annals of Operations Research, Springer, vol. 339(1), pages 369-395, August.

9. Hung, Chi-Hsiou D. & Azad, A.S.M. Sohel & Fang, Victor, 2014. "Determinants of stock returns: Factors or systematic co-moments? Crisis versus non-crisis periods," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 14-29.

   Cited by:

   1. Do, Hung Xuan & Brooks, Robert & Treepongkaruna, Sirimon, 2015. "Realized spill-over effects between stock and foreign exchange market: Evidence from regional analysis," Global Finance Journal, Elsevier, vol. 28(C), pages 24-37.

10. Azad, A.S.M. Sohel & Yasushi, Suzuki & Fang, Victor & Ahsan, Amirul, 2014. "Impact of policy changes on the efficiency and returns-to-scale of Japanese financial institutions: An evaluation," Research in International Business and Finance, Elsevier, vol. 32(C), pages 159-171.

    Cited by:

    1. Wanke, Peter & Azad, M.D. Abul Kalam & Barros, C.P., 2016. "Predicting efficiency in Malaysian Islamic banks: A two-stage TOPSIS and neural networks approach," Research in International Business and Finance, Elsevier, vol. 36(C), pages 485-498.
    2. Hirofumi Fukuyama & William L. Weber, 2017. "Measuring bank performance with a dynamic network Luenberger indicator," Annals of Operations Research, Springer, vol. 250(1), pages 85-104, March.
    3. Juliane Gerstenberger & Gunther Schnabl, 2017. "The Impact of Japanese Monetary Policy Crisis Management on the Japanese Banking Sector," CESifo Working Paper Series 6440, CESifo.
    4. Hirofumi Fukuyama & William L. Weber, 2017. "Japanese Bank Productivity, 2007–2012: A Dynamic Network Approach," Pacific Economic Review, Wiley Blackwell, vol. 22(4), pages 649-676, October.
    5. Mamatzakis, Emmanuel & matousek, roman & vu, anh, 2019. "The interplay between problem loans and Japanese bank productivity," MPRA Paper 92960, University Library of Munich, Germany.
    6. Teplova, Tamara & Mikova, Evgeniya, 2015. "New evidence on determinants of price momentum in the Japanese stock market," Research in International Business and Finance, Elsevier, vol. 34(C), pages 84-109.
    7. Mamatzakis, Emmanuel & Matousek, Roman & Vu, Anh Nguyet, 2016. "What is the impact of bankrupt and restructured loans on Japanese bank efficiency?," Journal of Banking & Finance, Elsevier, vol. 72(S), pages 187-202.
    8. Güler Aras & Nuray Tezcan & Özlem Kutlu Furtuna, 2019. "Does Managerial Decisions Affect Efficiency Profiles of Intermediary Institutions? Evidence from Emerging Economy," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 7(2), pages 249-262, December.

11. Azad, A.S.M. Sohel & Azmat, Saad & Fang, Victor & Edirisuriya, Piyadasa, 2014. "Unchecked manipulations, price–volume relationship and market efficiency: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 30(C), pages 51-71.

    Cited by:

    1. Kelejian, Harry H. & Mukerji, Purba, 2016. "Does high frequency algorithmic trading matter for non-AT investors?," Research in International Business and Finance, Elsevier, vol. 37(C), pages 78-92.
    2. Panpan Wang & Tsungwu Ho & Yishi Li, 2020. "The Price-Volume Relationship of the Shanghai Stock Index: Structural Change and the Threshold Effect of Volatility," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    3. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    4. Alaminos, David & Guillén-Pujadas, Miguel & Vizuete-Luciano, Emili & Merigó, José María, 2024. "What is going on with studies on financial speculation? Evidence from a bibliometric analysis," International Review of Economics & Finance, Elsevier, vol. 89(PB), pages 429-445.
    5. Ali Fayyaz Munir & Shahrin Saaid Shaharuddin & Mohd Edil Abd. Sukor, 2020. "Long-Term, Short-Term and Time-Varying Profitability of Reversals: The Role of Market State and Volatility," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(2), pages 501-520.
    6. Purba Mukerji & Christine Chung & Timothy Walsh & Bo Xiong, 2019. "The Impact of Algorithmic Trading in a Simulated Asset Market," JRFM, MDPI, vol. 12(2), pages 1-11, April.
    7. Manahov, Viktor & Hudson, Robert & Linsley, Philip, 2014. "New evidence about the profitability of small and large stocks and the role of volume obtained using Strongly Typed Genetic Programming," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 299-316.
    8. Kadıoğlu, Eyüp & Frömmel, Michael, 2022. "Manipulation in the bond market and the role of investment funds: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 79(C).
    9. Jamaani, Fouad & Roca, Eduardo, 2015. "Are the regional Gulf stock markets weak-form efficient as single stock markets and as a regional stock market?," Research in International Business and Finance, Elsevier, vol. 33(C), pages 221-246.
    10. Mirzaee Ghazani, Majid & Khalili Araghi, Mansour, 2014. "Evaluation of the adaptive market hypothesis as an evolutionary perspective on market efficiency: Evidence from the Tehran stock exchange," Research in International Business and Finance, Elsevier, vol. 32(C), pages 50-59.
    11. Ali Fayyaz Munir & Mohd Edil Abd. Sukor & Shahrin Saaid Shaharuddin, 2022. "Adaptive Market Hypothesis and Time-varying Contrarian Effect: Evidence From Emerging Stock Markets of South Asia," SAGE Open, , vol. 12(1), pages 21582440211, January.
    12. El Alaoui, Marwane, 2017. "Price–volume multifractal analysis of the Moroccan stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 473-485.
    13. Rodriguez, E. & Alvarez-Ramirez, J., 2021. "Time-varying cross-correlation between trading volume and returns in US stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 581(C).

12. Azad, A.S.M. Sohel & Fang, Victor & Hung, Chi-Hsiou, 2012. "Linking the interest rate swap markets to the macroeconomic risk: The UK and us evidence," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 38-47.

    Cited by:

    1. Chyi Lin Lee & Simon Stevenson & Ming‐Long Lee, 2018. "Low‐frequency volatility of real estate securities and macroeconomic risk," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 311-342, November.
    2. Li, Shaoyu & Zhu, Chunhui & Shang, Yuhuang, 2023. "Hedging demand and near-zero swap spreads: Evidence from the Chinese interest rate swap market," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 170-185.
    3. Quang Nguyen & Trang Kim & Marina Papanastassiou, 2018. "Policy uncertainty, derivatives use, and firm-level FDI," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 49(1), pages 96-126, January.
    4. Steve Y. Yang & Esen Onur, 2018. "Interest Rate Swap Market Complexity and Its Risk Management Implications," Complexity, Hindawi, vol. 2018, pages 1-20, October.
    5. Mitra, Sovan & Date, Paresh & Mamon, Rogemar & Wang, I-Chieh, 2013. "Pricing and risk management of interest rate swaps," European Journal of Operational Research, Elsevier, vol. 228(1), pages 102-111.
    6. Zongjun Wang & Gongkhonkwa Rujira, 2013. "The Dynamic Relationship of Stock Indexes on Interbank Money Market Rates: Evidence from Thailand," International Journal of Economics and Financial Issues, Econjournals, vol. 3(4), pages 827-843.
    7. Baker, H. Kent & Kumar, Satish & Goyal, Kirti & Sharma, Anuj, 2021. "International review of financial analysis: A retrospective evaluation between 1992 and 2020," International Review of Financial Analysis, Elsevier, vol. 78(C).

13. A.S.M. Sohel Azad & Victor Fang & J. Wickramanayake, 2011. "Low‐Frequency Volatility of Yen Interest Rate Swap Market in Relation to Macroeconomic Risk," International Review of Finance, International Review of Finance Ltd., vol. 11(3), pages 353-390, September.

    Cited by:

    1. Azad, A.S.M. Sohel & Chazi, Abdelaziz & Cooper, Peter & Ahsan, Amirul, 2017. "What determines the Japanese corporate credit spread? A new evidence," Research in International Business and Finance, Elsevier, vol. 41(C), pages 354-361.
       • Azad, A.S.M. Sohel & Chazi, Abdelaziz & Cooper, Peter & Ahsan, Amirul, 2018. "What determines the Japanese corporate credit spread? A new evidence," Research in International Business and Finance, Elsevier, vol. 45(C), pages 349-356.
    2. Azad, A.S.M. Sohel & Fang, Victor & Hung, Chi-Hsiou, 2012. "Linking the interest rate swap markets to the macroeconomic risk: The UK and us evidence," International Review of Financial Analysis, Elsevier, vol. 22(C), pages 38-47.
    3. Azad, A.S.M. Sohel & Batten, Jonathan A. & Fang, Victor, 2015. "What determines the yen swap spread?," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 1-13.
    4. Chyi Lin Lee & Simon Stevenson & Ming‐Long Lee, 2018. "Low‐frequency volatility of real estate securities and macroeconomic risk," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(S1), pages 311-342, November.
    5. Li, Shaoyu & Zhu, Chunhui & Shang, Yuhuang, 2023. "Hedging demand and near-zero swap spreads: Evidence from the Chinese interest rate swap market," The Quarterly Review of Economics and Finance, Elsevier, vol. 91(C), pages 170-185.
    6. Azmat, Saad & Azad, A.S.M. Sohel & Ghaffar, Hamza & Hayat, Aziz & Chazi, Abdelaziz, 2020. "Conventional vs Islamic banking and macroeconomic risk: Impact on asset price bubbles," Pacific-Basin Finance Journal, Elsevier, vol. 62(C).
    7. Cumhur ÞAHÝN & Hüseyin ALTAY, 2016. "Examination of the Relationship between Turkey’s Credit Default Swap (CDS) Points and Unemployment," Eurasian Business & Economics Journal, Eurasian Academy Of Sciences, vol. 4(4), pages 52-67, January.
    8. Sohel Azad, A.S.M. & Batten, Jonathan A. & Fang, Victor & Wickramanayake, Jayasinghe, 2015. "International swap market contagion and volatility," Economic Modelling, Elsevier, vol. 47(C), pages 355-371.
    9. Ahmed Al Samman & Mahmoud Moustafa Otaify, 2017. "How Does Volatility of Characteristics-sorted Portfolios Respond to Macroeconomic Volatility?," International Journal of Economics and Financial Issues, Econjournals, vol. 7(4), pages 300-315.
    10. Azad, A.S.M.S. & Azmat, Saad & Chazi, Abdelaziz & Ahsan, Amirul, 2018. "Can Islamic banks have their own benchmark?," Emerging Markets Review, Elsevier, vol. 35(C), pages 120-136.

14. A.S.M. Sohel Azad, 2009. "Efficiency, Cointegration and Contagion in Equity Markets: Evidence from China, Japan and South Korea," Asian Economic Journal, East Asian Economic Association, vol. 23(1), pages 93-118, March.

    Cited by:

    1. Sandrine Kablan & Khaled Guesmi, 2017. "Financial integration and Japanese stock market," Working Papers hal-01527692, HAL.
       • Guesmi, Khaled & Kablan, Sandrine, 2015. "Financial integration and Japanese stock market," MPRA Paper 70206, University Library of Munich, Germany.
    2. Kengo Kayaba & Yui Hirano & Naoki Ueda & Nobuki Matsui, 2018. "An investigation of fat-tailed distributions in fitting the Japanese stock market returns," International Journal of Finance, Insurance and Risk Management, International Journal of Finance, Insurance and Risk Management, vol. 8(2), pages 1399-1399.
    3. Javier Rojo-Suárez & Ana Belén Alonso-Conde, 2020. "Impact of consumer confidence on the expected returns of the Tokyo Stock Exchange: A comparative analysis of consumption and production-based asset pricing models," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-31, November.
    4. Khaled Guesmi & Frédéric Teulon, 2013. "Regional Equity Risk Premium Convergence: The case of Japan," Working Papers 2013-6, Department of Research, Ipag Business School.
    5. Guidi, Francesco, 2010. "Cointegration relationship and time varying co-movements among Indian and Asian developed stock markets," MPRA Paper 19853, University Library of Munich, Germany.
       • Gupta, Rakesh & Guidi, Francesco, 2012. "Cointegration relationship and time varying co-movements among Indian and Asian developed stock markets," International Review of Financial Analysis, Elsevier, vol. 21(C), pages 10-22.
       • Gupta, Rakesh & Guidi, Francesco, 2011. "Cointegration relationship and time varying co-movements among Indian and Asian developed stock markets," Greenwich Papers in Political Economy 7277, University of Greenwich, Greenwich Political Economy Research Centre.
    6. Maximilian-Benedikt Herwarth Kohn & Pedro L. Valls Pereira, 2017. "Speculative bubbles and contagion: Analysis of volatility’s clusters during the DotCom bubble based on the dynamic conditional correlation model," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1411453-141, January.
       • Kohn, Maximilian-Benedikt Herwarth Detlef & Pereira, Pedro L. Valls, 2016. "Speculative bubbles and contagion: analysis of volatility's clusters during the DotCom bubble based on the dynamic conditional correlation model," Textos para discussão 418, FGV EESP - Escola de Economia de São Paulo, Fundação Getulio Vargas (Brazil).
    7. Kee Tuan Teng & Siew Hwa Yen & Soo Y. Chua & Hooi Hooi Lean, 2016. "Time-Varying Linkages of Economic Activities in China and the Stock Markets in ASEAN-5," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 10(2), June.
    8. Naimat U Khan & Sajjad Khan, 2016. "Weak Form of Efficient Market Hypothesis: Evidence from Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 8(SE), pages 1-18, March.
    9. Teng Kee Tuan & Yen Siew Hwa & Chua Soo Yean, 2013. "Synchronisation of Stock Market Cycles: The Importance of Emerging and Developed Markets to ASEAN-5," Prague Economic Papers, Prague University of Economics and Business, vol. 2013(4), pages 435-458.
    10. Naseri, Marjan & Masih, Mansur, 2014. "Integration and Comovement of Developed and Emerging Islamic Stock Markets: A Case Study of Malaysia," MPRA Paper 58799, University Library of Munich, Germany.
    11. Lean, Hooi Hooi & Teng, Kee Tuan, 2013. "Integration of world leaders and emerging powers into the Malaysian stock market: A DCC-MGARCH approach," Economic Modelling, Elsevier, vol. 32(C), pages 333-342.
    12. Sandrine Kablan & Khaled Guesmi, 2016. "Financial Integration and Japanese Stock market Performance," Economics Bulletin, AccessEcon, vol. 36(2), pages 1064-1070.
    13. Shailesh Rastogi & Jagjeevan Kanoujiya & Satyendra Pratap Singh & Adesh Doifode & Neha Parashar & Pracheta Tejasmayee, 2023. "Fossil Fuel-Based versus Electric Vehicles: A Volatility Spillover Perspective Regarding the Environment," JRFM, MDPI, vol. 16(12), pages 1-16, November.
    14. Azad, A.S.M. Sohel & Azmat, Saad & Fang, Victor & Edirisuriya, Piyadasa, 2014. "Unchecked manipulations, price–volume relationship and market efficiency: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 30(C), pages 51-71.

15. Azad, A.S.M. Sohel, 2009. "Random walk and efficiency tests in the Asia-Pacific foreign exchange markets: Evidence from the post-Asian currency crisis data," Research in International Business and Finance, Elsevier, vol. 23(3), pages 322-338, September.

    Cited by:

    1. Fahad Almudhaf, 2014. "Testing for random walk behaviour in CIVETS exchange rates," Applied Economics Letters, Taylor & Francis Journals, vol. 21(1), pages 60-63, January.
    2. Anderloni, Luisa & Tanda, Alessandra, 2017. "Green energy companies: Stock performance and IPO returns," Research in International Business and Finance, Elsevier, vol. 39(PA), pages 546-552.
    3. Chun-Teck Lye Author_Email: ctlye@mmu.edu.my & Tze-Haw Chan & Chee-Wooi Hooy, 2011. "Nonlinear Analysis Of Chinese And Malaysian Exchange Rates Predictability With Monetary Fundamentals," 2nd International Conference on Business and Economic Research (2nd ICBER 2011) Proceeding 2011-270, Conference Master Resources.
       • Chun-Teck Lye & Tze-Haw Chan & Chee-Wooi Hooy, 2012. "Nonlinear Analysis Of Chinese And Malaysian Exchange Rates Predictability With Monetary Fundamentals," Journal of Global Business and Economics, Global Research Agency, vol. 5(1), pages 38-49, July.
    4. Mobarek, Asma & Fiorante, Angelo, 2014. "The prospects of BRIC countries: Testing weak-form market efficiency," Research in International Business and Finance, Elsevier, vol. 30(C), pages 217-232.
    5. Lazăr, Dorina & Todea, Alexandru & Filip, Diana, 2012. "Martingale difference hypothesis and financial crisis: Empirical evidence from European emerging foreign exchange markets," Economic Systems, Elsevier, vol. 36(3), pages 338-350.
    6. Sashikanta Khuntia & J. K. Pattanayak, 2020. "Evolving Efficiency of Exchange Rate Movement: An Evidence from Indian Foreign Exchange Market," Global Business Review, International Management Institute, vol. 21(4), pages 956-969, August.
    7. Chun-Teck Lye & Tze-Haw Chan & Chee-Wooi Hooy, 2011. "Nonlinear prediction of Malaysian exchange rate with monetary fundamentals," Economics Bulletin, AccessEcon, vol. 31(3), pages 1960-1967.
    8. Asif, Raheel & Frömmel, Michael, 2022. "Testing Long memory in exchange rates and its implications for the adaptive market hypothesis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
    9. Chiang, Shu-Mei & Lee, Yen-Hsien & Su, Hsin-Mei & Tzou, Yi-Pin, 2010. "Efficiency tests of foreign exchange markets for four Asian Countries," Research in International Business and Finance, Elsevier, vol. 24(3), pages 284-294, September.
    10. Jamaani, Fouad & Roca, Eduardo, 2015. "Are the regional Gulf stock markets weak-form efficient as single stock markets and as a regional stock market?," Research in International Business and Finance, Elsevier, vol. 33(C), pages 221-246.
    11. Adeyeye Patrick Olufemi & Aluko Olufemi Adewale & Migiro Stephen Oseko, 2017. "Efficiency of Foreign Exchange Markets in Sub-Saharan Africa in the Presence of Structural Break: A Linear and Non-Linear Testing Approach," Journal of Economics and Behavioral Studies, AMH International, vol. 9(4), pages 122-131.
    12. Amelie Charles & Olivier Darne, 2009. "Testing for Random Walk Behavior in Euro Exchange Rates," Economie Internationale, CEPII research center, issue 119, pages 25-45.
        • Amélie Charles & Olivier Darné, 2009. "Testing for random walk behavior in euro exchange rates," Post-Print hal-00771082, HAL.
    13. Nobi, Ashadun & Lee, Jae Woo, 2016. "State and group dynamics of world stock market by principal component analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 85-94.
    14. Yang, Yan-Hong & Shao, Ying-Hui & Shao, Hao-Lin & Stanley, H. Eugene, 2019. "Revisiting the weak-form efficiency of the EUR/CHF exchange rate market: Evidence from episodes of different Swiss franc regimes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 734-746.
    15. Hsien-Yi Lee & Khatanbaatar Sodoikhuu, 2012. "Efficiency Tests in Foreign Exchange Market," International Journal of Economics and Financial Issues, Econjournals, vol. 2(2), pages 216-224.
    16. Azad, A.S.M. Sohel & Azmat, Saad & Fang, Victor & Edirisuriya, Piyadasa, 2014. "Unchecked manipulations, price–volume relationship and market efficiency: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 30(C), pages 51-71.
    17. Diniz-Maganini, Natalia & Rasheed, Abdul A. & Sheng, Hsia Hua, 2023. "Price efficiency of the foreign exchange rates of BRICS countries: A comparative analysis," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(1).
    18. Ornela Shalari & Areti Stringa, 2013. "Testing The Foreign Exchange Market Efficiency For Euro / Albanian Leke During The Period 01 January 2002 – 31 December 2012," EuroEconomica, Danubius University of Galati, issue 1(32), pages 126-135, May.
    19. Afees A. Salisu & Taofeek O. Ayinde, 2016. "Testing the Martingale Difference Hypothesis (MDH) with Structural Breaks: Evidence from Foreign Exchanges of Nigeria and South Africa," Journal of African Business, Taylor & Francis Journals, vol. 17(3), pages 342-359, September.

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