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Fabio Spagnolo

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.

Working papers

  1. Guglielmo Maria Caporale & Woo-Young Kang & Fabio Spagnolo & Nicola Spagnolo, 2021. "The Covid-19 Pandemic, Policy Responses and Stock Markets in the G20," CESifo Working Paper Series 9299, CESifo.

    Cited by:

    1. Yu, Xiaoling & Xiao, Kaitian, 2023. "COVID-19 Government restriction policy, COVID-19 vaccination and stock markets: Evidence from a global perspective," Finance Research Letters, Elsevier, vol. 53(C).
    2. Ilias Chronopoulos & Katerina Chrysikou & George Kapetanios & James Mitchell & Aristeidis Raftapostolos, 2023. "Deep Neural Network Estimation in Panel Data Models," Papers 2305.19921, arXiv.org.

  2. Guglielmo Maria Caporale & Faek Menla Ali & Fabio Spagnolo & Nicola Spagnolo, 2020. "Cross-Border Portfolio Flows and News Media Coverage," CESifo Working Paper Series 8112, CESifo.

    Cited by:

    1. McCully, Tuuli, 2023. "Drivers of portfolio flows into Chinese debt securities amidst China's bond market development," BOFIT Discussion Papers 8/2023, Bank of Finland Institute for Emerging Economies (BOFIT).

  3. Guglielmo Maria Caporale & Woo-Young Kang & Fabio Spagnolo & Nicola Spagnolo, 2020. "Cyber Attacks, Spillovers and Contagion in the Cryptocurrency Markets," CESifo Working Paper Series 8324, CESifo.

    Cited by:

    1. Lee A. Smales, 2021. "Volatility Spillovers among Cryptocurrencies," JRFM, MDPI, vol. 14(10), pages 1-12, October.
    2. Ziyao Wang & Yufei Xia & Yating Fu & Ying Liu, 2023. "Volatility Spillover Dynamics and Determinants between FinTech and Traditional Financial Industry: Evidence from China," Mathematics, MDPI, vol. 11(19), pages 1-23, September.
    3. Tiwari, Aviral Kumar & Abakah, Emmanuel Joel Aikins & Karikari, Nana Kwasi & Gil-Alana, Luis Alberiko, 2022. "The outbreak of COVID-19 and stock market liquidity: Evidence from emerging and developed equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    4. André D. Gimenes & Jéfferson A. Colombo & Imran Yousaf, 2023. "Store of value or speculative investment? Market reaction to corporate announcements of cryptocurrency acquisition," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-31, December.
    5. Cole, Benjamin M. & Dyhrberg, Anne H. & Foley, Sean & Svec, Jiri, 2022. "Can Bitcoin be Trusted? Quantifying the economic value of blockchain transactions," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    6. Naeem, Muhammad Abubakr & Hamouda, Foued & Karim, Sitara & Vigne, Samuel A., 2023. "Return and volatility spillovers among global assets: Comparing health crisis with geopolitical crisis," International Review of Economics & Finance, Elsevier, vol. 87(C), pages 557-575.
    7. Yousaf, Imran & Goodell, John W., 2023. "Reputational contagion and the fall of FTX: Examining the response of tokens to the delegitimization of FTT," Finance Research Letters, Elsevier, vol. 54(C).
    8. Costantini, Mauro & Maaitah, Ahmad & Mishra, Tapas & Sousa, Ricardo M., 2023. "Bitcoin market networks and cyberattacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    9. Kyriazis, Nikolaos & Papadamou, Stephanos & Tzeremes, Panayiotis & Corbet, Shaen, 2023. "Can cryptocurrencies provide a viable hedging mechanism for benchmark index investors?," Research in International Business and Finance, Elsevier, vol. 64(C).
    10. Mudassar Hasan & Muhammad Abubakr Naeem & Muhammad Arif & Syed Jawad Hussain Shahzad & Xuan Vinh Vo, 2022. "Liquidity connectedness in cryptocurrency market," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-25, December.
    11. Tian, Shu & Zhao, Bo & Olivares, Resi Ong, 2023. "Cybersecurity risks and central banks’ sentiment on central bank digital currency: Evidence from global cyberattacks," Finance Research Letters, Elsevier, vol. 53(C).
    12. Milunovich, George & Lee, Seung Ah, 2022. "Measuring the impact of digital exchange cyberattacks on Bitcoin Returns," Economics Letters, Elsevier, vol. 221(C).
    13. BRIK, Hatem & El OUAKDI, Jihene & FTITI, Zied, 2022. "Roles of stable versus nonstable cryptocurrencies in Bitcoin market dynamics," Research in International Business and Finance, Elsevier, vol. 62(C).
    14. Ye, Wuyi & Li, Mingge & Wu, Yuehua, 2022. "A novel estimation of time-varying quantile correlation for financial contagion detection," The North American Journal of Economics and Finance, Elsevier, vol. 63(C).
    15. Carol Alexander & Daniel Heck & Andreas Kaeck, 2021. "The Role of Binance in Bitcoin Volatility Transmission," Papers 2107.00298, arXiv.org, revised Aug 2021.
    16. Bazán-Palomino, Walter, 2022. "Interdependence, contagion and speculative bubbles in cryptocurrency markets," Finance Research Letters, Elsevier, vol. 49(C).
    17. Mensi, Walid & Al-Yahyaee, Khamis Hamed & Wanas Al-Jarrah, Idries Mohammad & Vo, Xuan Vinh & Kang, Sang Hoon, 2021. "Does volatility connectedness across major cryptocurrencies behave the same at different frequencies? A portfolio risk analysis," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 96-113.
    18. Chu, Meifen, 2021. "Bitcoin and traditional currencies during the Covid-19 pandemic period," MPRA Paper 110117, University Library of Munich, Germany.
    19. Yousaf, Imran & Goodell, John W., 2023. "Linkages between CBDC and cryptocurrency uncertainties, and digital payment stocks," Finance Research Letters, Elsevier, vol. 54(C).

  4. Guglielmo Maria Caporale & Woo-Young Kang & Fabio Spagnolo & Nicola Spagnolo, 2019. "Non-Linearities, Cyber Attacks and Cryptocurrencies," CESifo Working Paper Series 7692, CESifo.

    Cited by:

    1. Lars Hornuf & Paul P. Momtaz & Rachel J. Nam & Ye Yuan, 2023. "Cybercrime on the Ethereum Blockchain," CESifo Working Paper Series 10598, CESifo.
    2. Mircea Constantin Șcheau & Simona Liliana Crăciunescu & Iulia Brici & Monica Violeta Achim, 2020. "A Cryptocurrency Spectrum Short Analysis," JRFM, MDPI, vol. 13(8), pages 1-16, August.
    3. Lyócsa, Štefan & Molnár, Peter & Plíhal, Tomáš & Širaňová, Mária, 2020. "Impact of macroeconomic news, regulation and hacking exchange markets on the volatility of bitcoin," Journal of Economic Dynamics and Control, Elsevier, vol. 119(C).
    4. Raza, Syed Ali & Shah, Nida & Guesmi, Khaled & Msolli, Badreddine, 2022. "How does COVID-19 influence dynamic spillover connectedness between cryptocurrencies? Evidence from non-parametric causality-in-quantiles techniques," Finance Research Letters, Elsevier, vol. 47(PA).
    5. Martin Eling & Kwangmin Jung, 2022. "Heterogeneity in cyber loss severity and its impact on cyber risk measurement," Risk Management, Palgrave Macmillan, vol. 24(4), pages 273-297, December.
    6. Kazeem Abimbola Sanusi & Zandri Dickason-Koekemoer, 2022. "Cryptocurrency Returns, Cybercrime and Stock Market Volatility: GAS and Regime Switching Approaches," International Journal of Economics and Financial Issues, Econjournals, vol. 12(6), pages 52-64, November.
    7. Ozili, Peterson K, 2021. "Central bank digital currency can lead to the collapse of cryptocurrency," MPRA Paper 111218, University Library of Munich, Germany.
    8. Guglielmo Maria Caporale & Woo-Young Kang & Fabio Spagnolo & Nicola Spagnolo, 2020. "Cyber-Attacks, Cryptocurrencies, and Cyber Security," CESifo Working Paper Series 8124, CESifo.
    9. Yousaf, Imran & Goodell, John W., 2023. "Reputational contagion and the fall of FTX: Examining the response of tokens to the delegitimization of FTT," Finance Research Letters, Elsevier, vol. 54(C).
    10. Figà-Talamanca, Gianna & Focardi, Sergio & Patacca, Marco, 2021. "Regime switches and commonalities of the cryptocurrencies asset class," The North American Journal of Economics and Finance, Elsevier, vol. 57(C).
    11. Costantini, Mauro & Maaitah, Ahmad & Mishra, Tapas & Sousa, Ricardo M., 2023. "Bitcoin market networks and cyberattacks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).
    12. Goodell, John W., 2020. "COVID-19 and finance: Agendas for future research," Finance Research Letters, Elsevier, vol. 35(C).
    13. Tian, Shu & Zhao, Bo & Olivares, Resi Ong, 2023. "Cybersecurity risks and central banks’ sentiment on central bank digital currency: Evidence from global cyberattacks," Finance Research Letters, Elsevier, vol. 53(C).
    14. Corbet, Shaen & Larkin, Charles & Lucey, Brian, 2020. "The contagion effects of the COVID-19 pandemic: Evidence from gold and cryptocurrencies," Finance Research Letters, Elsevier, vol. 35(C).
    15. Guglielmo Maria Caporale & Woo-Young Kang & Fabio Spagnolo & Nicola Spagnolo, 2020. "Cyber Attacks, Spillovers and Contagion in the Cryptocurrency Markets," CESifo Working Paper Series 8324, CESifo.
    16. Imran Yousaf & Shoaib Ali & Elie Bouri & Anupam Dutta, 2021. "Herding on Fundamental/Nonfundamental Information During the COVID-19 Outbreak and Cyber-Attacks: Evidence From the Cryptocurrency Market," SAGE Open, , vol. 11(3), pages 21582440211, July.
    17. Atef Ghalwesh & Shimaa Ouf & Amr Sayed, 2020. "A Proposed System for Securing Cryptocurrency Via the Integration of Internet of Things with Blockchain," International Journal of Economics and Financial Issues, Econjournals, vol. 10(3), pages 166-173.

  5. Alanoud Al-Maadid & Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2018. "The Impact of Business and Political News on the GCC Stock Markets," CESifo Working Paper Series 7353, CESifo.

    Cited by:

    1. Muhammad Ateeq ur REHMAN & Syed Ghulam Meran SHAH & Lucian-Ionel CIOCA & Alin ARTENE, 2021. "Accentuating the Impacts of Political News on the Stock Price, Working Capital and Performance: An Empirical Review of Emerging Economy," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 55-73, June.
    2. Hayet Soltani & Mouna Boujelbène Abbes, 2023. "The Predictive Power of Financial Stress on the Financial Markets Dynamics: Hidden Markov Model," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 47(1), pages 94-115, March.
    3. Al-Maadid, Alanoud & Alhazbi, Saleh & Al-Thelaya, Khaled, 2022. "Using machine learning to analyze the impact of coronavirus pandemic news on the stock markets in GCC countries," Research in International Business and Finance, Elsevier, vol. 61(C).
    4. Stephens, John & Mehdian, Seyed & Gherghina, Ștefan Cristian & Stoica, Ovidiu, 2023. "The reaction of the financial market to the January 6 United States Capitol attack: An intraday study," Finance Research Letters, Elsevier, vol. 56(C).
    5. Fedorova, E. & Pyltsin, I. & Kovalchuk, Yu. & Drogovoz, P., 2022. "News and social networks of Russian companies: Degree of influence on the securities market," Journal of the New Economic Association, New Economic Association, vol. 53(1), pages 32-52.
    6. Du, Hanyu & Hao, Jing & He, Feng & Xi, Wenze, 2022. "Media sentiment and cross-sectional stock returns in the Chinese stock market," Research in International Business and Finance, Elsevier, vol. 60(C).
    7. Aqila Rafiuddin & Jennifer Daffodils & Jesus Cuauhtemoc Tellez Gaytan & Gyanendra Singh Sisodia, 2021. "Trend of Oil Prices, Gold, GCC Stocks Market during Covid-19 Pandemic: A Wavelet Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 560-572.

  6. Alanoud Al-Maadid & Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2018. "Political Tension and Stock Markets in the Arabian Peninsula," CESifo Working Paper Series 7341, CESifo.

    Cited by:

    1. Jassem Alokla & Arief Daynes & Paraskevas Pagas & Panagiotis Tzouvanas, 2023. "Solvency determinants: evidence from the Takaful insurance industry," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(4), pages 847-871, October.
    2. Ahmed H. Elsayed & Mohamad Husam Helmi, 2021. "Volatility transmission and spillover dynamics across financial markets: the role of geopolitical risk," Annals of Operations Research, Springer, vol. 305(1), pages 1-22, October.
    3. Kerim Peren Arin & Guglielmo Maria Caporale & Kyriacos Kyriacou & Nicola Spagnolo, 2019. "Financial integration in the GCC region: market size versus national effects," CESifo Working Paper Series 7686, CESifo.

  7. Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2016. "Macro News and Exchange Rates in the BRICS," Discussion Papers of DIW Berlin 1545, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Naeem, Muhammad Abubakr & Yousaf, Imran & Karim, Sitara & Yarovaya, Larisa & Ali, Shoaib, 2023. "Tail-event driven NETwork dependence in emerging markets," Emerging Markets Review, Elsevier, vol. 55(C).
    2. Gkillas, Konstantinos & Konstantatos, Christoforos & Tsagkanos, Athanasios & Siriopoulos, Costas, 2021. "Do economic news releases affect tail risk? Evidence from an emerging market," Finance Research Letters, Elsevier, vol. 40(C).
    3. Guglielmo Maria Caporale & Faek Menla Ali & Fabio Spagnolo & Nicola Spagnolo, 2020. "Cross-Border Portfolio Flows and News Media Coverage," CESifo Working Paper Series 8112, CESifo.
    4. Demir, Ender & Ersan, Oguz, 2017. "Economic policy uncertainty and cash holdings: Evidence from BRIC countries," Emerging Markets Review, Elsevier, vol. 33(C), pages 189-200.
    5. Evžen Kocenda & Michala Moravcová, 2018. "Intraday Effect of News on Emerging European Forex Markets: An Event Study Analysis," CESifo Working Paper Series 7239, CESifo.
    6. Rognone, Lavinia & Hyde, Stuart & Zhang, S. Sarah, 2020. "News sentiment in the cryptocurrency market: An empirical comparison with Forex," International Review of Financial Analysis, Elsevier, vol. 69(C).
    7. Yin, Libo, 2020. "Can the intermediary capital risk predict foreign exchange rates?," Finance Research Letters, Elsevier, vol. 37(C).
    8. Jolanta Pasionek, 2020. "Countries of BRICS group on Forex market," Ekonomia i Prawo, Uniwersytet Mikolaja Kopernika, vol. 19(1), pages 99-117, March.
    9. Svatopluk Kapounek & Zuzana Kucerova & Evzen Kocenda, 2020. "Selective Attention in Exchange Rate Forecasting," KIER Working Papers 1035, Kyoto University, Institute of Economic Research.
    10. Tamgac, Unay, 2021. "Emerging market exchange rates during quantitative tapering: The effect of US and domestic news," Research in International Business and Finance, Elsevier, vol. 57(C).
    11. Ekinci, Cumhur & Akyildirim, Erdinc & Corbet, Shaen, 2019. "Analysing the dynamic influence of US macroeconomic news releases on Turkish stock markets," Finance Research Letters, Elsevier, vol. 31(C), pages 155-164.
    12. Ur Rehman, Mobeen & Al Rababa'a, Abdel Razzaq & El-Nader, Ghaith & Alkhataybeh, Ahmad & Vo, Xuan Vinh, 2022. "Modelling the quantile cross-coherence between exchange rates: Does the COVID-19 pandemic change the interlinkage structure?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).

  8. Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2016. "Exchange Rates and Macro News in Emerging Markets," Discussion Papers of DIW Berlin 1558, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Teona Shugliashvili, 2023. "The words have power: the impact of news on exchange rates," FFA Working Papers 5.006, Prague University of Economics and Business, revised 31 Jul 2023.
    2. Corbet, Shaen & Dunne, John James & Larkin, Charles, 2019. "Quantitative easing announcements and high-frequency stock market volatility: Evidence from the United States," Research in International Business and Finance, Elsevier, vol. 48(C), pages 321-334.
    3. Jolanta Pasionek, 2021. "Response of the USD/MXN Exchange Rate to Macroeconomic Data," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 3), pages 914-927.
    4. Guglielmo Maria Caporale & Faek Menla Ali & Fabio Spagnolo & Nicola Spagnolo, 2020. "Cross-Border Portfolio Flows and News Media Coverage," CESifo Working Paper Series 8112, CESifo.
    5. Jeffrey A. Frankel & Ayako Saiki, 2017. "Does It Matter If Statistical Agencies Frame the Month’s CPI Reporton a 1-Month or 12-month Basis?," NBER Working Papers 23754, National Bureau of Economic Research, Inc.
    6. Al-Maadid, Alanoud & Caporale, Guglielmo Maria & Spagnolo, Fabio & Spagnolo, Nicola, 2020. "The impact of business and political news on the GCC stock markets," Research in International Business and Finance, Elsevier, vol. 52(C).
    7. Deniz Erer, 2023. "The Impact of News Related Covid-19 on Exchange Rate Volatility:A New Evidence From Generalized Autoregressive Score Model," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(38), pages 105-126, June.
    8. Ngo Thai Hung, 2021. "Volatility Behaviour of the Foreign Exchange Rate and Transmission Among Central and Eastern European Countries: Evidence from the EGARCH Model," Global Business Review, International Management Institute, vol. 22(1), pages 36-56, February.
    9. Munazza Jabeen & Abdul Rashid, 2022. "Macroeconomic News and Exchange Rates: Exploring the Role of Order Flow," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 14(2), pages 222-245, May.
    10. Munazza Jabeen & Abdul Rashid & Hajra Ihsan, 2022. "The news effects on exchange rate returns and volatility: Evidence from Pakistan," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 745-769, January.
    11. Tamgac, Unay, 2021. "Emerging market exchange rates during quantitative tapering: The effect of US and domestic news," Research in International Business and Finance, Elsevier, vol. 57(C).

  9. Alanoud Al-Maadid & Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2015. "Spillovers between Food and Energy Prices and Structural Breaks," Discussion Papers of DIW Berlin 1466, DIW Berlin, German Institute for Economic Research.

    Cited by:

    1. Sun, Yunpeng & Gao, Pengpeng & Raza, Syed Ali & Shah, Nida & Sharif, Arshian, 2023. "The asymmetric effects of oil price shocks on the world food prices: Fresh evidence from quantile-on-quantile regression approach," Energy, Elsevier, vol. 270(C).
    2. Shahid, Muhammad Naeem & Azmi, Wajahat & Ali, Mohsin & Islam, Muhammad Umar & Rizvi, Syed Aun R., 2023. "Uncovering risk transmission between socially responsible investments, alternative energy investments and the implied volatility of major commodities," Energy Economics, Elsevier, vol. 120(C).
    3. Afees A. Salisu & Kingsley Obiora, 2021. "COVID-19 pandemic and the crude oil market risk: hedging options with non-energy financial innovations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-19, December.
    4. Vo, Long Hai & Le, Thai-Ha, 2021. "Eatery, energy, environment and economic system, 1970–2017: Understanding volatility spillover patterns in a global sample," Energy Economics, Elsevier, vol. 100(C).
    5. Naeem, Muhammad Abubakr & Karim, Sitara & Hasan, Mudassar & Lucey, Brian M. & Kang, Sang Hoon, 2022. "Nexus between oil shocks and agriculture commodities: Evidence from time and frequency domain," Energy Economics, Elsevier, vol. 112(C).
    6. Yoon, Seong-Min, 2022. "On the interdependence between biofuel, fossil fuel and agricultural food prices: Evidence from quantile tests," Renewable Energy, Elsevier, vol. 199(C), pages 536-545.
    7. Tiwari, Aviral Kumar & Nasreen, Samia & Shahbaz, Muhammad & Hammoudeh, Shawkat, 2020. "Time-frequency causality and connectedness between international prices of energy, food, industry, agriculture and metals," Energy Economics, Elsevier, vol. 85(C).
    8. Cao, Yan & Cheng, Sheng, 2021. "Impact of COVID-19 outbreak on multi-scale asymmetric spillovers between food and oil prices," Resources Policy, Elsevier, vol. 74(C).
    9. Raza, Syed Ali & Guesmi, Khaled & Belaid, Fateh & Shah, Nida, 2022. "Time-frequency causality and connectedness between oil price shocks and the world food prices," Research in International Business and Finance, Elsevier, vol. 62(C).
    10. Algieri, Bernardina & Leccadito, Arturo, 2019. "Ask CARL: Forecasting tail probabilities for energy commodities," Energy Economics, Elsevier, vol. 84(C).
    11. Heckelei, T. & Amrouk, E.M. & Grosche, S., 2018. "International interdependence between cash crop and staple food futures price indices: A wavelet-BEKK-GARCH assessment," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277376, International Association of Agricultural Economists.
    12. Navid Kargar Dehbidi & Mansour Zibaei & Mohammad Hassan Tarazkar, 2022. "The effect of climate change and energy shocks on food security in Iran's provinces," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(2), pages 417-437, April.
    13. Wang, Kai-Hua & Kan, Jia-Min & Qiu, Lianhong & Xu, Shulin, 2023. "Climate policy uncertainty, oil price and agricultural commodity: From quantile and time perspective," Economic Analysis and Policy, Elsevier, vol. 78(C), pages 256-272.
    14. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2018. "Volatility Linkages between Energy and Food Prices: Case of Selected Asian Countries," ADBI Working Papers 829, Asian Development Bank Institute.
    15. Amrouk, El Mamoun & Grosche, Stephanie-Carolin & Heckelei, Thomas, 2017. "An analysis of the interdependence between cash crop and staple food futures prices," Discussion Papers 265665, University of Bonn, Institute for Food and Resource Economics.
    16. Wu, Fei & Zhang, Dayong & Zhang, Zhiwei, 2019. "Connectedness and risk spillovers in China’s stock market: A sectoral analysis," Economic Systems, Elsevier, vol. 43(3).
    17. Sima Siami-Namini, 2019. "Volatility Transmission Among Oil Price, Exchange Rate and Agricultural Commodities Prices," Applied Economics and Finance, Redfame publishing, vol. 6(4), pages 41-61, July.
    18. Luo, Jiawen & Ji, Qiang, 2018. "High-frequency volatility connectedness between the US crude oil market and China's agricultural commodity markets," Energy Economics, Elsevier, vol. 76(C), pages 424-438.
    19. Gilbert, Christopher L., 2018. "A Model of Grains Prices with Application to the Impact of Biofuels," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273492, Agricultural Economics Society.
    20. Iglesias-Casal, Ana & López-Penabad, María-Celia & López-Andión, Carmen & Maside-Sanfiz, José Manuel, 2020. "Diversification and optimal hedges for socially responsible investment in Brazil," Economic Modelling, Elsevier, vol. 85(C), pages 106-118.
    21. Sonal Devesh & Abdullah M. Asrul Affendi, 2021. "Modelling the Impact of Oil Price on Food Imports: Case of Oman," International Journal of Energy Economics and Policy, Econjournals, vol. 11(4), pages 113-120.
    22. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    23. Christopher L. Gilbert & Harriet Kasidi Mugera, 2020. "Competitive Storage, Biofuels and the Corn Price," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(2), pages 384-411, June.
    24. Azeez, Rasheed Oluwaseyi, 2018. "Oil price volatility spillover effects on food prices in Nigeria," MPRA Paper 93188, University Library of Munich, Germany.
    25. de Araujo, Fernando Henrique Antunes & Bejan, Lucian & Stosic, Borko & Stosic, Tatijana, 2020. "An analysis of Brazilian agricultural commodities using permutation – information theory quantifiers: The influence of food crisis," Chaos, Solitons & Fractals, Elsevier, vol. 139(C).
    26. Kamaruddin Kamaruddin & Yusri Hazmi & Raja Masbar & Sofyan Syahnur & M. Shabri Abd. Majid, 2021. "Asymmetric Impact of World Oil Prices on Marketing Margins: Application of NARDL Model for the Indonesian Coffee," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 212-220.
    27. Ji, Qiang & Bouri, Elie & Roubaud, David & Shahzad, Syed Jawad Hussain, 2018. "Risk spillover between energy and agricultural commodity markets: A dependence-switching CoVaR-copula model," Energy Economics, Elsevier, vol. 75(C), pages 14-27.
    28. Afees A. Salisu & Raymond Swaray, 2017. "Forecasting the return volatility of energy prices: A GARCH MIDAS approach," Working Papers 029, Centre for Econometric and Allied Research, University of Ibadan.
    29. Agus Widarjono & Indah Susantun & Sarastri M. Ruchba & Ari Rudatin, 2020. "Oil and Food Prices for a Net Oil Importing-country: How Are Related in Indonesia?," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 255-263.
    30. Restrepo, Natalia & Uribe, Jorge M. & Manotas, Diego, 2018. "Financial risk network architecture of energy firms," Applied Energy, Elsevier, vol. 215(C), pages 630-642.
    31. Esposti, Roberto, 2021. "On the long-term common movement of resource and commodity prices.A methodological proposal," Resources Policy, Elsevier, vol. 72(C).
    32. Sun, Yanpeng & Mirza, Nawazish & Qadeer, Abdul & Hsueh, Hsin-Pei, 2021. "Connectedness between oil and agricultural commodity prices during tranquil and volatile period. Is crude oil a victim indeed?," Resources Policy, Elsevier, vol. 72(C).
    33. Miroslava Ivanova & Lilko Dospatliev, 2023. "Effects of Diesel Price on Changes in Agricultural Commodity Prices in Bulgaria," Mathematics, MDPI, vol. 11(3), pages 1-22, January.
    34. Hanif, Waqas & Areola Hernandez, Jose & Shahzad, Syed Jawad Hussain & Yoon, Seong-Min, 2021. "Tail dependence risk and spillovers between oil and food prices," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 195-209.
    35. Karel Janda & Ladislav Kristoufek, 2019. "The relationship between fuel and food prices: Methods, outcomes, and lessons for commodity price risk management," CAMA Working Papers 2019-20, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    36. Matteo Bonato & Oguzhan Cepni & Rangan Gupta & Christian Pierdzioch, 2021. "El Nino, La Nina, and Forecastability of the Realized Variance of Agricultural Commodity Prices: Evidence from a Machine Learning Approach," Working Papers 202179, University of Pretoria, Department of Economics.
    37. Monika Roman & Aleksandra Górecka & Joanna Domagała, 2020. "The Linkages between Crude Oil and Food Prices," Energies, MDPI, vol. 13(24), pages 1-18, December.
    38. Aloui, Riadh & Ben Jabeur, Sami & Rezgui, Hichem & Ben Arfi, Wissal, 2023. "Geopolitical risk and commodity future returns: Fresh insights from dynamic copula conditional value-at-risk approach," Resources Policy, Elsevier, vol. 85(PB).
    39. Salisu, Afees A. & Vo, Xuan Vinh & Lawal, Adedoyin, 2021. "Hedging oil price risk with gold during COVID-19 pandemic," Resources Policy, Elsevier, vol. 70(C).
    40. Sergio Adriani David & Claudio M. C. Inácio & José A. Tenreiro Machado, 2019. "Ethanol Prices and Agricultural Commodities: An Investigation of Their Relationship," Mathematics, MDPI, vol. 7(9), pages 1-25, August.
    41. Cheng, Natalie Fang Ling & Hasanov, Akram Shavkatovich & Poon, Wai Ching & Bouri, Elie, 2023. "The US-China trade war and the volatility linkages between energy and agricultural commodities," Energy Economics, Elsevier, vol. 120(C).
    42. Taghizadeh-Hesary, Farhad & Rasoulinezhad, Ehsan & Yoshino, Naoyuki, 2019. "Energy and Food Security: Linkages through Price Volatility," Energy Policy, Elsevier, vol. 128(C), pages 796-806.
    43. Dervis Kirikkaleli & Ibrahim Darbaz, 2021. "The Causal Linkage between Energy Price and Food Price," Energies, MDPI, vol. 14(14), pages 1-13, July.
    44. Morelli, Giacomo, 2023. "Stochastic ordering of systemic risk in commodity markets," Energy Economics, Elsevier, vol. 117(C).
    45. Balcilar, Mehmet & Gabauer, David & Umar, Zaghum, 2021. "Crude Oil futures contracts and commodity markets: New evidence from a TVP-VAR extended joint connectedness approach," Resources Policy, Elsevier, vol. 73(C).
    46. Maitra, Debasish & Guhathakurta, Kousik & Kang, Sang Hoon, 2021. "The good, the bad and the ugly relation between oil and commodities: An analysis of asymmetric volatility connectedness and portfolio implications," Energy Economics, Elsevier, vol. 94(C).
    47. Candelise, Chiara & Saccone, Donatella & Vallino, Elena, 2021. "An empirical assessment of the effects of electricity access on food security," World Development, Elsevier, vol. 141(C).
    48. Siami-Namini, Sima & Hudson, Darren, 2017. "Volatility Spillover Between Oil Prices, Us Dollar Exchange Rates And International Agricultural Commodities Prices," 2017 Annual Meeting, February 4-7, 2017, Mobile, Alabama 252845, Southern Agricultural Economics Association.
    49. Shokoohi, Zeinab & Saghaian, Sayed, 2022. "Nexus of energy and food nutrition prices in oil importing and exporting countries: A panel VAR model," Energy, Elsevier, vol. 255(C).
    50. Ahmad, Wasim & Hernandez, Jose Arreola & Saini, Seema & Mishra, Ritesh Kumar, 2021. "The US equity sectors, implied volatilities, and COVID-19: What does the spillover analysis reveal?," Resources Policy, Elsevier, vol. 72(C).
    51. Pal, Debdatta & Mitra, Subrata K., 2019. "Correlation dynamics of crude oil with agricultural commodities: A comparison between energy and food crops," Economic Modelling, Elsevier, vol. 82(C), pages 453-466.
    52. Zhang, Dayong & Broadstock, David C., 2020. "Global financial crisis and rising connectedness in the international commodity markets," International Review of Financial Analysis, Elsevier, vol. 68(C).
    53. Dahl, Roy Endré & Oglend, Atle & Yahya, Muhammad, 2020. "Dynamics of volatility spillover in commodity markets: Linking crude oil to agriculture," Journal of Commodity Markets, Elsevier, vol. 20(C).
    54. Shahzad, Farrukh & Bouri, Elie & Mokni, Khaled & Ajmi, Ahdi Noomen, 2021. "Energy, agriculture, and precious metals: Evidence from time-varying Granger causal relationships for both return and volatility," Resources Policy, Elsevier, vol. 74(C).
    55. Janda, Karel & Kravec, Peter, 2022. "VECM Modelling of the Price Dynamics for Fuels, Agricultural Commodities and Biofuels," EconStor Preprints 259404, ZBW - Leibniz Information Centre for Economics.
    56. Aviral Kumar Tiwari & Rabeh Khalfaoui & Sakiru Adebola Solarin & Muhammad Shahbaz, 2018. "Analyzing the time-frequency lead–lag relationship between oil and agricultural commodities," Post-Print hal-03797590, HAL.

  10. Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2015. "Macro News and Commodity Returns," CESifo Working Paper Series 5551, CESifo.

    Cited by:

    1. Wendy Nyakabawo & Rangan Gupta & Hardik A. Marfatia, 2018. "High-Frequency Impact of Monetary Policy and Macroeconomic Surprises on US MSAs and Aggregate US Housing Returns and Volatility: A GJR-GARCH Approach," Working Papers 201817, University of Pretoria, Department of Economics.
    2. Tarek Chebbi, 2021. "The response of precious metal futures markets to unconventional monetary surprises in the presence of uncertainty," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(2), pages 1897-1916, April.
    3. Tanin, Tauhidul Islam & Sarker, Ashutosh & Hammoudeh, Shawkat & Shahbaz, Muhammad, 2021. "Do volatility indices diminish gold's appeal as a safe haven to investors before and during the COVID-19 pandemic?," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 214-235.
    4. Osamah Al-Khazali & Elie Bouri & David Roubaud, 2018. "The impact of positive and negative macroeconomic news surprises: Gold versus Bitcoin," Economics Bulletin, AccessEcon, vol. 38(1), pages 373-382.
    5. Smales, L.A. & Lucey, B.M., 2019. "The influence of investor sentiment on the monetary policy announcement liquidity response in precious metal markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 60(C), pages 19-38.
    6. Salisu, Afees A. & Vo, Xuan Vinh & Lucey, Brian, 2021. "Gold and US sectoral stocks during COVID-19 pandemic," Research in International Business and Finance, Elsevier, vol. 57(C).
    7. Guglielmo Maria Caporale & Faek Menla Ali & Fabio Spagnolo & Nicola Spagnolo, 2020. "Cross-Border Portfolio Flows and News Media Coverage," CESifo Working Paper Series 8112, CESifo.
    8. Walid Bahloul & Rangan Gupta, 2018. "Impact of macroeconomic news surprises and uncertainty for major economies on returns and volatility of oil futures," International Economics, CEPII research center, issue 156, pages 247-253.
    9. Semeyutin, Artur & Downing, Gareth, 2022. "Co-jumps in the U.S. interest rates and precious metals markets and their implications for investors," International Review of Financial Analysis, Elsevier, vol. 81(C).
    10. Siwen Zhou, 2021. "Exploring the driving forces of the Bitcoin currency exchange rate dynamics: an EGARCH approach," Empirical Economics, Springer, vol. 60(2), pages 557-606, February.
    11. Wen, Shaobo & An, Haizhong & Huang, Shupei & Liu, Xueyong, 2019. "Dynamic impact of China's stock market on the international commodity market," Resources Policy, Elsevier, vol. 61(C), pages 564-571.
    12. Zhou, Siwen, 2018. "Exploring the Driving Forces of the Bitcoin Exchange Rate Dynamics: An EGARCH Approach," MPRA Paper 89445, University Library of Munich, Germany.
    13. Jianhua Ding & Turen Guo & Bin Guo, 2018. "Fat Tails, Value at Risk, and the Palladium Returns," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 7(2), pages 95-103, May.
    14. Smales, L.A., 2017. "Commodity market volatility in the presence of U.S. and Chinese macroeconomic news," Journal of Commodity Markets, Elsevier, vol. 7(C), pages 15-27.
    15. Akyildirim, Erdinc & Cepni, Oguzhan & Pham, Linh & Uddin, Gazi Salah, 2022. "How connected is the agricultural commodity market to the news-based investor sentiment?," Energy Economics, Elsevier, vol. 113(C).
    16. Diandian Ma & Benfu Lv & Xuerong Li & Xiuting Li & Shuqin Liu, 2023. "Heterogeneous Impacts of Policy Sentiment with Different Themes on Real Estate Market: Evidence from China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    17. Mukherjee, Abhiroop & Panayotov, George & Shon, Janghoon, 2021. "Eye in the sky: Private satellites and government macro data," Journal of Financial Economics, Elsevier, vol. 141(1), pages 234-254.
    18. Bouri, Elie & Lucey, Brian & Saeed, Tareq & Vo, Xuan Vinh, 2021. "The realized volatility of commodity futures: Interconnectedness and determinants#," International Review of Economics & Finance, Elsevier, vol. 73(C), pages 139-151.
    19. Makkonen, Adam & Vallström, Daniel & Uddin, Gazi Salah & Rahman, Md Lutfur & Haddad, Michel Ferreira Cardia, 2021. "The effect of temperature anomaly and macroeconomic fundamentals on agricultural commodity futures returns," Energy Economics, Elsevier, vol. 100(C).
    20. Hua, Renhai & Liu, Qingfu & Tse, Yiuman & Yu, Qin, 2023. "The impact of natural disaster risk on the return of agricultural futures," Journal of Asian Economics, Elsevier, vol. 87(C).
    21. Wendy Nyakabawo & Rangan Gupta & Hardik A. Marfatia, 2018. "High Frequency Impact Of Monetary Policy And Macroeconomic Surprises On Us Msas, Aggregate Us Housing Returns And Asymmetric Volatility," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 204-229, December.

  11. Guglielmo Maria Caporale & Faek Menla Ali & Fabio Spagnolo & Nicola Spagnolo, 2015. "International Portfolio Flows and Exchange Rate Volatility for Emerging Markets," CESifo Working Paper Series 5615, CESifo.

    Cited by:

    1. Suxiao Li & Jakob de Haan & Bert Scholtens, 2018. "Are International Fund Flows Related to Exchange Rate Dynamics?," Open Economies Review, Springer, vol. 29(1), pages 31-48, February.
    2. Chikashi Tsuji, 2017. "How Can We Interpret the Estimates of the Full BEKK Model with Asymmetry? The Case of French and German Stock Returns," Business and Economic Research, Macrothink Institute, vol. 7(2), pages 342-351, December.

  12. Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2014. "Macro News and Stock Returns in the Euro Area: A VAR-GARCH-in-Means Analysis," CESifo Working Paper Series 4912, CESifo.

    Cited by:

    1. Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2014. "Macro News and Bond Yield Spreads in the Euro Area," Discussion Papers of DIW Berlin 1413, DIW Berlin, German Institute for Economic Research.
    2. Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2017. "Macro News and Commodity Returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 68-80, January.
    3. Guglielmo Maria Caporale & Faek Menla Ali & Fabio Spagnolo & Nicola Spagnolo, 2020. "Cross-Border Portfolio Flows and News Media Coverage," CESifo Working Paper Series 8112, CESifo.
    4. Teplova, T. & Sokolova, T. & Tomtosov, A. & Buchko, D. & Nikulin, D., 2022. "The sentiment of private investors in explaining the differences in the trade characteristics of the Russian market stocks," Journal of the New Economic Association, New Economic Association, vol. 53(1), pages 53-84.
    5. Foroutan, Parisa & Lahmiri, Salim, 2022. "The effect of COVID-19 pandemic on return-volume and return-volatility relationships in cryptocurrency markets," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
    6. Al-Maadid, Alanoud & Caporale, Guglielmo Maria & Spagnolo, Fabio & Spagnolo, Nicola, 2020. "The impact of business and political news on the GCC stock markets," Research in International Business and Finance, Elsevier, vol. 52(C).
    7. Tarciso Gouveia da Silva & Osmani Teixeira de Carvalho Guillén & George Augusto Noronha Morcerf & Andre de Melo Modenesi, 2020. "Effects of Monetary Policy News on Financial Assets: evidence from Brazil on a bivariate VAR-GARCH model (2006-17)," Working Papers Series 536, Central Bank of Brazil, Research Department.
    8. Grigaliuniene, Zana & Celov, Dmitrij & Hartwell, Christopher A., 2020. "The more the Merrier? The reaction of euro area stock markets to new members," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 66(C).
    9. Cagliesi, Gabriella & Guidi, Francesco, 2021. "A three-tiered nested analytical approach to financial integration: The case of emerging and frontier equity markets," International Review of Financial Analysis, Elsevier, vol. 74(C).
    10. Konstantinos Gkillas & Paraskevi Katsiampa & Dimitrios I. Vortelinos & Mark E. Wohar, 2023. "Greek government‐debt crisis events and European financial markets: News surprises on Greek bond yields and inter‐relations of European financial markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(4), pages 4037-4054, October.
    11. Cao, Zhen & Han, Liyan & Zhang, Qunzi, 2022. "Stock return predictability in China: Power of oil price trend," Finance Research Letters, Elsevier, vol. 47(PA).
    12. Salisu, Afees A. & Akanni, Lateef O. & Vo, Xuan Vinh, 2021. "Volatility spillovers and hedging effectiveness between health and tourism stocks: Empirical evidence from the US," International Review of Economics & Finance, Elsevier, vol. 74(C), pages 150-159.
    13. Gregori, Wildmer Daniel & Sacchi, Agnese, 2019. "Has the Grexit news affected euro area financial markets?," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 71-84.
    14. da Silva, Tarciso Gouveia & de Carvalho Guillén, Osmani Teixeira & Morcerf, George Augusto Noronha & de Melo Modenesi, Andre, 2022. "Effects of monetary policy news on financial assets: Evidence from Brazil on a bivariate VAR-GARCH model (2006–17)," Emerging Markets Review, Elsevier, vol. 52(C).
    15. Văn, Lê & Bảo, Nguyễn Khắc Quốc, 2022. "The relationship between global stock and precious metals under Covid-19 and happiness perspectives," Resources Policy, Elsevier, vol. 77(C).
    16. Vellachami, Sanggetha & Hasanov, Akram Shavkatovich & Brooks, Robert, 2023. "Risk transmission from the energy markets to the carbon market: Evidence from the recursive window approach," International Review of Financial Analysis, Elsevier, vol. 89(C).
    17. Christos Ioannidis & Kook Ka, 2021. "Economic Policy Uncertainty and Bond Risk Premia," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 53(6), pages 1479-1522, September.

  13. Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2014. "Macro News and Bond Yield Spreads in the Euro Area," CESifo Working Paper Series 5008, CESifo.

    Cited by:

    1. González, Luis Otero & Razia, Alaa & Búa, Milagros Vivel & Sestayo, Rubén Lado, 2019. "Market structure, performance, and efficiency: Evidence from the MENA banking sector," International Review of Economics & Finance, Elsevier, vol. 64(C), pages 84-101.
    2. Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2017. "Macro News and Commodity Returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 68-80, January.
    3. Graham Bird & Wenti Du & Thomas Willett, 2017. "Behavioral Finance and Efficient Markets: What does the Euro Crisis Tell us?," Open Economies Review, Springer, vol. 28(2), pages 273-295, April.
    4. Guglielmo Maria Caporale & Faek Menla Ali & Fabio Spagnolo & Nicola Spagnolo, 2020. "Cross-Border Portfolio Flows and News Media Coverage," CESifo Working Paper Series 8112, CESifo.
    5. Al-Maadid, Alanoud & Caporale, Guglielmo Maria & Spagnolo, Fabio & Spagnolo, Nicola, 2020. "The impact of business and political news on the GCC stock markets," Research in International Business and Finance, Elsevier, vol. 52(C).
    6. Graham Bird & Wenti Du & Eric Pentecost & Thomas Willett, 2017. "Was it different the second time? An empirical analysis of contagion during the crises in Greece 2009–15," The World Economy, Wiley Blackwell, vol. 40(12), pages 2530-2542, December.
    7. Tarciso Gouveia da Silva & Osmani Teixeira de Carvalho Guillén & George Augusto Noronha Morcerf & Andre de Melo Modenesi, 2020. "Effects of Monetary Policy News on Financial Assets: evidence from Brazil on a bivariate VAR-GARCH model (2006-17)," Working Papers Series 536, Central Bank of Brazil, Research Department.
    8. Chi-Wei Su & Xu-Yu Cai & Ran Tao, 2020. "Can Stock Investor Sentiment Be Contagious in China?," Sustainability, MDPI, vol. 12(4), pages 1-16, February.
    9. Bruce Burton & Satish Kumar & Nitesh Pandey, 2020. "Twenty-five years of The European Journal of Finance (EJF): a retrospective analysis," The European Journal of Finance, Taylor & Francis Journals, vol. 26(18), pages 1817-1841, December.
    10. Conterius, Simeon & Akimov, Alexandr & Su, Jen-Je & Roca, Eduardo, 2023. "Do foreign investors have a positive impact on the domestic government bonds market? A panel pooled mean group approach," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 863-875.
    11. Karanasos, M. & Yfanti, S., 2021. "On the Economic fundamentals behind the Dynamic Equicorrelations among Asset classes: Global evidence from Equities, Real estate, and Commodities," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    12. Wildmer Daniel Gregori & Wildmer Agnese Sacchi, 2016. "Has the Grexit news spilled over into euro area financial markets? The role of domestic political leaders, supranational executives and institutions," Mo.Fi.R. Working Papers 134, Money and Finance Research group (Mo.Fi.R.) - Univ. Politecnica Marche - Dept. Economic and Social Sciences.
    13. Gregori, Wildmer Daniel & Sacchi, Agnese, 2019. "Has the Grexit news affected euro area financial markets?," The North American Journal of Economics and Finance, Elsevier, vol. 49(C), pages 71-84.
    14. Boonman, Tjeerd & Litsios, Ioannis & Pilbeam, Keith & Pouliot, William, 2022. "Modelling the trade balance between the northern and southern eurozone using an intertemporal approach," Journal of International Money and Finance, Elsevier, vol. 121(C).
    15. da Silva, Tarciso Gouveia & de Carvalho Guillén, Osmani Teixeira & Morcerf, George Augusto Noronha & de Melo Modenesi, Andre, 2022. "Effects of monetary policy news on financial assets: Evidence from Brazil on a bivariate VAR-GARCH model (2006–17)," Emerging Markets Review, Elsevier, vol. 52(C).
    16. Philipp Mohl & Gilles Mourre & Sven Langedijk & Martijn Hoogeland, 2021. "Does Media Visibility Make EU Fiscal Rules More Effective?," European Economy - Discussion Papers 155, Directorate General Economic and Financial Affairs (DG ECFIN), European Commission.
    17. Guglielmo Maria Caporale & Menelaos Karanasos & Stavroula Yfanti, 2019. "Macro-Financial Linkages in the High-Frequency Domain: The Effects of Uncertainty on Realized Volatility," CESifo Working Paper Series 8000, CESifo.
    18. Mohsin Waheed & Zulfiqar Hyder, 2023. "What Explains the Volatility in Pakistan’s Sovereign Bond Yields?," SBP Working Paper Series 112, State Bank of Pakistan, Research Department.

  14. Martin Gonzalez-Rozada & Martin sola & Constantino Hevia & Fabio Spagnolo, 2012. "Estimating and Forecasting the Yield Curve Using a Markov Switching Dynamic Nelson and Siegel Model," Department of Economics Working Papers 2012-07, Universidad Torcuato Di Tella.

    Cited by:

    1. Koeda, Junko & Sekine, Atsushi, 2022. "Nelson–Siegel decay factor and term premia in Japan," Journal of the Japanese and International Economies, Elsevier, vol. 64(C).
    2. Manfred M. Fischer & Niko Hauzenberger & Florian Huber & Michael Pfarrhofer, 2023. "General Bayesian time‐varying parameter vector autoregressions for modeling government bond yields," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 38(1), pages 69-87, January.
    3. Eo, Yunjong & Kang, Kyu Ho, 2020. "The effects of conventional and unconventional monetary policy on forecasting the yield curve," Journal of Economic Dynamics and Control, Elsevier, vol. 111(C).
    4. Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    5. Luo, Deqing & Pang, Tao & Xu, Jiawen, 2021. "Forecasting U.S. Yield Curve Using the Dynamic Nelson–Siegel Model with Random Level Shift Parameters," Economic Modelling, Elsevier, vol. 94(C), pages 340-350.
    6. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Effects on the Riskless Yield Curve with Regime Switching Nelson†Siegel Models," Working Papers 639, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    7. Fausto Vieira & Fernando Chague, Marcelo Fernandes, 2016. "A dynamic Nelson-Siegel model with forward-looking indicators for the yield curve in the US," Working Papers, Department of Economics 2016_31, University of São Paulo (FEA-USP).
    8. Mustafa Demirel & Gazanfer Unal, 2020. "Applying multivariate-fractionally integrated volatility analysis on emerging market bond portfolios," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    9. Massimo Guidolin & Manuela Pedio, 2019. "Forecasting and Trading Monetary Policy Switching Nelson-Siegel Models," BAFFI CAREFIN Working Papers 19106, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    10. Levant, Jared & Ma, Jun, 2017. "A dynamic Nelson-Siegel yield curve model with Markov switching," Economic Modelling, Elsevier, vol. 67(C), pages 73-87.
    11. Gordon H. Dash & Nina Kajiji & Domenic Vonella, 2018. "The role of supervised learning in the decision process to fair trade US municipal debt," EURO Journal on Decision Processes, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 139-168, June.
    12. Manfred M. Fischer & Niko Hauzenberger & Florian Huber & Michael Pfarrhofer, 2021. "General Bayesian time-varying parameter VARs for predicting government bond yields," Papers 2102.13393, arXiv.org.
    13. Fischer, Manfred M. & Hauzenberger, Niko & Huber, Florian & Pfarrhofer, Michael, 2022. "General Bayesian time-varying parameter VARs for modeling government bond yields," Working Papers in Regional Science 2021/01, WU Vienna University of Economics and Business.
    14. Renata Tavanielli & Márcio Laurini, 2023. "Yield Curve Models with Regime Changes: An Analysis for the Brazilian Interest Rate Market," Mathematics, MDPI, vol. 11(11), pages 1-28, June.
    15. Guidolin, Massimo & Pedio, Manuela, 2019. "Forecasting and trading monetary policy effects on the riskless yield curve with regime switching Nelson–Siegel models," Journal of Economic Dynamics and Control, Elsevier, vol. 107(C), pages 1-1.

  15. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2010. "State-Dependent Threshold STAR Models," UFAE and IAE Working Papers 818.10, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC).

    Cited by:

    1. Michael J. Dueker & Laura E. Jackson & Michael T. Owyang & Martin Sola, 2010. "A Time-Varying Threshold STAR Model with Applications," Working Papers 2010-029, Federal Reserve Bank of St. Louis, revised 10 Aug 2022.

  16. Martín Solá & Zacharias Psaradakis & Fabio Spagnolo & Nicola Spagnolo, 2010. "Some Cautionary Results Concerning Markov-Switching Models with Time-Varying Transition Probabilities," Department of Economics Working Papers 2010-12, Universidad Torcuato Di Tella.

    Cited by:

    1. Zacharias Psaradakis & Martin Sola, 2017. "Markov-Switching Models with State-Dependent Time-Varying Transition Probabilities," Birkbeck Working Papers in Economics and Finance 1702, Birkbeck, Department of Economics, Mathematics & Statistics.
    2. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2016. "Maximum Likelihood Estimation in Possibly Misspeci ed Dynamic Models with Time-Inhomogeneous Markov Regimes," Department of Economics Working Papers 2016_04, Universidad Torcuato Di Tella.
    3. Marie Bessec, 2019. "Revisiting the transitional dynamics of business-cycle phases with mixed-frequency data," Post-Print hal-02181552, HAL.
    4. Khayat, Guillaume A., 2018. "The impact of setting negative policy rates on banking flows and exchange rates," Economic Modelling, Elsevier, vol. 68(C), pages 1-10.
    5. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2022. "Maximum Likelihood Estimation in Markov Regime‐Switching Models With Covariate‐Dependent Transition Probabilities," Econometrica, Econometric Society, vol. 90(4), pages 1681-1710, July.
    6. Marie Bessec, 2015. "Revisiting the transitional dynamics of business-cycle phases with mixed frequency data," Post-Print hal-01276824, HAL.

  17. Michael Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2009. "Contemporaneous-Threshold Smooth Transition GARCH Models," Department of Economics Working Papers 2009-06, Universidad Torcuato Di Tella.

    Cited by:

    1. Kirstin Hubrich & Timo Teräsvirta, 2013. "Thresholds and Smooth Transitions in Vector Autoregressive Models," CREATES Research Papers 2013-18, Department of Economics and Business Economics, Aarhus University.

  18. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2007. "Multivariate contemporaneous threshold autoregressive models," Working Papers 2007-019, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Leena Kalliovirta & Mika Meitz & Pentti Saikkonen, 2015. "A Gaussian Mixture Autoregressive Model for Univariate Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(2), pages 247-266, March.
    2. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2016. "Maximum Likelihood Estimation in Possibly Misspeci ed Dynamic Models with Time-Inhomogeneous Markov Regimes," Department of Economics Working Papers 2016_04, Universidad Torcuato Di Tella.
    3. Kirstin Hubrich & Timo Teräsvirta, 2013. "Thresholds and Smooth Transitions in Vector Autoregressive Models," CREATES Research Papers 2013-18, Department of Economics and Business Economics, Aarhus University.
    4. Henri Nyberg, 2018. "Forecasting US interest rates and business cycle with a nonlinear regime switching VAR model," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 37(1), pages 1-15, January.
    5. Zacharias Psaradakis & Martin Sola & Fabio Spagnolo & Nicola Spagnolo, 2009. "Selecting nonlinear time series models using information criteria," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(4), pages 369-394, July.
    6. Kalliovirta, Leena & Meitz, Mika & Saikkonen, Pentti, 2016. "Gaussian mixture vector autoregression," Journal of Econometrics, Elsevier, vol. 192(2), pages 485-498.
    7. Jan Pablo Burgard & Matthias Neuenkirch & Matthias Nöckel, 2018. "State-Dependent Transmission of Monetary Policy in the Euro Area," CESifo Working Paper Series 7074, CESifo.
    8. Ching-Wai (Jeremy) Chiu & Haroon Mumtaz & Gabor Pinter, 2016. "Bayesian Vector Autoregressions with Non-Gaussian Shocks," CReMFi Discussion Papers 5, CReMFi, School of Economics and Finance, QMUL.
    9. Michael Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2009. "Contemporaneous-Threshold Smooth Transition GARCH Models," Department of Economics Working Papers 2009-06, Universidad Torcuato Di Tella.
    10. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2022. "Maximum Likelihood Estimation in Markov Regime‐Switching Models With Covariate‐Dependent Transition Probabilities," Econometrica, Econometric Society, vol. 90(4), pages 1681-1710, July.
    11. MeiChi Huang, 2017. "Vulnerabilities to housing bubbles: Evidence from linkages between housing prices and income fundamentals," International Finance, Wiley Blackwell, vol. 20(1), pages 64-91, March.
    12. Paulo Rodrigues & Nazarii Salish, 2015. "Modeling and forecasting interval time series with threshold models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 9(1), pages 41-57, March.
    13. Yin, Ming, 2015. "Estimating Gaussian Mixture Autoregressive model with Sequential Monte Carlo algorithm: A parallel GPU implementation," MPRA Paper 88111, University Library of Munich, Germany, revised 2018.
    14. Kassouri, Yacouba & Altıntaş, Halil, 2020. "Threshold cointegration, nonlinearity, and frequency domain causality relationship between stock price and Turkish Lira," Research in International Business and Finance, Elsevier, vol. 52(C).
    15. Mika Meitz & Pentti Saikkonen, 2017. "Testing for observation-dependent regime switching in mixture autoregressive models," Papers 1711.03959, arXiv.org.

  19. Michael J. Dueker & Martin Sola & Fabio Spagnolo, 2006. "Contemporaneous threshold autoregressive models: estimation, testing and forecasting," Working Papers 2003-024, Federal Reserve Bank of St. Louis.

    Cited by:

    1. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2013. "State-Dependent Threshold Smooth Transition Autoregressive Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 835-854, December.
    2. Jiayue Zhang & Fukang Zhu & Huaping Chen, 2023. "Two-Threshold-Variable Integer-Valued Autoregressive Model," Mathematics, MDPI, vol. 11(16), pages 1-20, August.
    3. Bel, K. & Paap, R., 2013. "Modeling the impact of forecast-based regime switches on macroeconomic time series," Econometric Institute Research Papers EI 2013-25, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Leena Kalliovirta & Mika Meitz & Pentti Saikkonen, 2015. "A Gaussian Mixture Autoregressive Model for Univariate Time Series," Journal of Time Series Analysis, Wiley Blackwell, vol. 36(2), pages 247-266, March.
    5. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2016. "Maximum Likelihood Estimation in Possibly Misspeci ed Dynamic Models with Time-Inhomogeneous Markov Regimes," Department of Economics Working Papers 2016_04, Universidad Torcuato Di Tella.
    6. Michael Dueker & Martin Sola & Fabio Spagnolo, 2007. "Contemporaneous Threshold Autoregressive Models: Estimation, Testing and Forecasting," Discussion Papers 5_2007, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
    7. Zacharias Psaradakis & Martin Sola & Fabio Spagnolo & Nicola Spagnolo, 2009. "Selecting nonlinear time series models using information criteria," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(4), pages 369-394, July.
    8. Emilio Zanetti Chini, 2013. "Generalizing smooth transition autoregressions," CEIS Research Paper 294, Tor Vergata University, CEIS, revised 25 Sep 2014.
    9. Kalliovirta, Leena & Meitz, Mika & Saikkonen, Pentti, 2016. "Gaussian mixture vector autoregression," Journal of Econometrics, Elsevier, vol. 192(2), pages 485-498.
    10. Francesco Battaglia & Mattheos Protopapas, 2012. "An analysis of global warming in the Alpine region based on nonlinear nonstationary time series models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 21(3), pages 315-334, August.
    11. Michael Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2009. "Contemporaneous-Threshold Smooth Transition GARCH Models," Department of Economics Working Papers 2009-06, Universidad Torcuato Di Tella.
    12. Demian Pouzo & Zacharias Psaradakis & Martin Sola, 2022. "Maximum Likelihood Estimation in Markov Regime‐Switching Models With Covariate‐Dependent Transition Probabilities," Econometrica, Econometric Society, vol. 90(4), pages 1681-1710, July.
    13. Chong, Terence T.L. & Yan, Isabel K., 2018. "Forecasting currency crises with threshold models," International Economics, Elsevier, vol. 156(C), pages 156-174.
    14. Paulo Rodrigues & Nazarii Salish, 2015. "Modeling and forecasting interval time series with threshold models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 9(1), pages 41-57, March.
    15. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2007. "Multivariate contemporaneous threshold autoregressive models," Working Papers 2007-019, Federal Reserve Bank of St. Louis.
    16. Haiqiang Chen & Terence Chong & Jushan Bai, 2012. "Theory and Applications of TAR Model with Two Threshold Variables," Econometric Reviews, Taylor & Francis Journals, vol. 31(2), pages 142-170.
    17. Chong Terence T. L. & He Qing & Hinich Melvin J, 2008. "The Nonlinear Dynamics of Foreign Reserves and Currency Crises," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 12(4), pages 1-18, December.
    18. Yin, Ming, 2015. "Estimating Gaussian Mixture Autoregressive model with Sequential Monte Carlo algorithm: A parallel GPU implementation," MPRA Paper 88111, University Library of Munich, Germany, revised 2018.
    19. Francesco Battaglia & Mattheos Protopapas, 2012. "Multi–regime models for nonlinear nonstationary time series," Computational Statistics, Springer, vol. 27(2), pages 319-341, June.
    20. Paulo M.M. Rodrigues & Nazarii Salish, 2011. "Modeling and Forecasting Interval Time Series with Threshold Models: An Application to S&P500 Index Returns," Working Papers w201128, Banco de Portugal, Economics and Research Department.
    21. Mika Meitz & Pentti Saikkonen, 2017. "Testing for observation-dependent regime switching in mixture autoregressive models," Papers 1711.03959, arXiv.org.

  20. Driffill, John & Sola, Martin & Kenc, Turalay & Spagnolo, Fabio, 2004. "On Model Selection and Markov Switching: A Empirical Examination of Term Structure Models with Regime Shifts," CEPR Discussion Papers 4165, C.E.P.R. Discussion Papers.

    Cited by:

    1. Zeno Rotondi, 2006. "The Macroeconomy and the Yield Curve: A Review of the Literature with Some New Evidence," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 65(2), pages 193-224, November.
    2. Choi Seungmoon, 2009. "Regime-Switching Univariate Diffusion Models of the Short-Term Interest Rate," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(1), pages 1-41, March.

  21. Jerry Coakley & Ana-Maria Fuertes & Fabio Spagnolo, 2004. "The Feldstein-Horioka puzzle is not as bad as you think," Money Macro and Finance (MMF) Research Group Conference 2003 17, Money Macro and Finance Research Group.

    Cited by:

    1. Ana-Maria Fuertes & Jerry Coakley & Andrew Wood, 2004. "A new interpretation of the real exchange rate - yield differential nexus," Money Macro and Finance (MMF) Research Group Conference 2003 32, Money Macro and Finance Research Group.
    2. Rao, B. Bhaskara & Kumar, Saten, 2009. "A panel data approach to the demand for money and the effects of financial reforms in the Asian countries," Economic Modelling, Elsevier, vol. 26(5), pages 1012-1017, September.
    3. Helmut Herwartz & Fang Xu, 2009. "Panel data model comparison for empirical saving-investment relations," Applied Economics Letters, Taylor & Francis Journals, vol. 16(8), pages 803-807.
    4. Chrysost Bangaké & Jude Eggoh, 2010. "International Capital Mobility in African Countries: Do the legal origins matter?," Economics Bulletin, AccessEcon, vol. 30(1), pages 73-83.
    5. N. Vasudeva Murthy, 2009. "The Feldstein–Horioka puzzle in Latin American and Caribbean countries: a panel cointegration analysis," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 33(2), pages 176-188, April.
    6. Florian Pelgrin & Sebastian Schich, 2004. "National Saving-Investment Dynamics and International Capital Mobility," Staff Working Papers 04-14, Bank of Canada.
    7. Despina Petreska & Nikica Mojsoska-Blazevski, 2013. "The Feldstein-Horioka Puzzle And Transition Economies," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 58(197), pages 23-46, April – J.
    8. Chortareas Georgios E & Kapetanios George & Uctum Merih, 2004. "An Investigation of Current Account Solvency in Latin America Using Non Linear Nonstationarity Tests," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(1), pages 1-19, March.

  22. Martin Sola & Fabio Spagnolo & Nicola Spagnolo, 2002. "A Test for Volatility Spillovers," Public Policy Discussion Papers 02-04, Economics and Finance Section, School of Social Sciences, Brunel University.

    Cited by:

    1. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2010. "Analyzing and Forecasting Volatility Spillovers and Asymmetries in Major Crude Oil Spot, Forward and Futures Markets," KIER Working Papers 717, Kyoto University, Institute of Economic Research.
    2. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2009. "Forecasting Volatility and Spillovers in Crude Oil Spot, Forward and Futures Markets," CIRJE F-Series CIRJE-F-641, CIRJE, Faculty of Economics, University of Tokyo.
    3. Chia-Lin Chang & Michael McAleer & Roengchai Tansuchat, 2010. "Analyzing and Forecasting Volatility Spillovers, Asymmetries and Hedging in Major Oil Markets," Working Papers in Economics 10/19, University of Canterbury, Department of Economics and Finance.
    4. Zheng, Tingguo & Zuo, Haomiao, 2013. "Reexamining the time-varying volatility spillover effects: A Markov switching causality approach," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 643-662.
    5. Nikos Nomikos & Enrique Salvador, 2014. "The role of volatility regimes on volatility transmission patterns," Quantitative Finance, Taylor & Francis Journals, vol. 14(1), pages 1-13, January.
    6. Marcin Owczarczuk, 2009. "Maximum Score Type Estimators," Working Papers 30, Department of Applied Econometrics, Warsaw School of Economics.
    7. Gebka, Bartosz & Serwa, Dobromil, 2007. "Intra- and inter-regional spillovers between emerging capital markets around the world," Research in International Business and Finance, Elsevier, vol. 21(2), pages 203-221, June.
    8. Gebka, Bartosz & Serwa, Dobromil, 2006. "Are financial spillovers stable across regimes?: Evidence from the 1997 Asian crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 16(4), pages 301-317, October.
    9. María José Melendez & Marco Morales & Guillermo Yáñez, 2010. "Transmisión de Shocks y Acoplamiento con Mercados Accionarios Externos: Efectos Asimétricos y Quiebre Estructural," Working Papers 11, Facultad de Economía y Empresa, Universidad Diego Portales.
    10. Andrea Cipollini & Kostas Mouratidis & Nicola Spagnolo, 2008. "Evaluating currency crises: the case of the European monetary system," Empirical Economics, Springer, vol. 35(1), pages 11-27, August.
    11. Kostas Mouratidis & Dimitris Kenourgios & Aris Samitas, 2010. "Evaluating currency crisis:A multivariate Markov switching approach," Working Papers 2010018, The University of Sheffield, Department of Economics, revised Oct 2010.
    12. Lopes, José Mário & Nunes, Luis C., 2012. "A Markov regime switching model of crises and contagion: The case of the Iberian countries in the EMS," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 1141-1153.
    13. Ahmed Shamiri & Abu Hassan, 2005. "Modeling and Forecasting Volatility of the Malaysian and the Singaporean stock indices using Asymmetric GARCH models and Non-normal Densities," Econometrics 0509015, University Library of Munich, Germany.
    14. Christiansen, Charlotte, 2005. "Level-ARCH Short Rate Models with Regime Switching: Bivariate Modeling of US and European Short Rates," Finance Research Group Working Papers F-2005-03, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    15. Yoon Hong & Ji-chul Lee & Guoping Ding, 2017. "Volatility Clustering, New Heavy-Tailed Distribution and the Stock Market Returns in South Korea," Journal of Applied Management and Investments, Department of Business Administration and Corporate Security, International Humanitarian University, vol. 6(3), pages 164-169, September.
    16. Kui Fan & Zudi Lu & Shouyang Wang, 2009. "Dynamic Linkages Between the China and International Stock Markets," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 16(3), pages 211-230, September.
    17. Baele, Lieven & Inghelbrecht, Koen, 2010. "Time-varying integration, interdependence and contagion," Journal of International Money and Finance, Elsevier, vol. 29(5), pages 791-818, September.
    18. Jedrzej Białkowski & Dobromił Serwa, 2005. "Financial contagion, spillovers and causality in the Markov switching framework," Quantitative Finance, Taylor & Francis Journals, vol. 5(1), pages 123-131.
    19. Bialkowski, Jedrzej & Bohl, Martin T. & Serwa, Dobromil, 2006. "Testing for financial spillovers in calm and turbulent periods," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(3), pages 397-412, July.
    20. Elena Fedorova & Kashif Saleem, 2010. "Volatility Spillovers between Stock and Currency Markets: Evidence from Emerging Eastern Europe," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 60(6), pages 519-533, December.
    21. Yu, Jung-Suk & Hassan, M. Kabir, 2008. "Global and regional integration of the Middle East and North African (MENA) stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 48(3), pages 482-504, August.
    22. Andres Kuusk & Tiiu Paas, 2010. "Contagion Of Financial Crises With Special Emphasis On Cee Economies: A Metaanalysis," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 66, Faculty of Economics and Business Administration, University of Tartu (Estonia).
    23. L. Scaffidi Domianello & G.M. Gallo & E. Otranto, 2022. "Smooth and Abrupt Dynamics in Financial Volatility: the MS-MEM-MIDAS," Working Paper CRENoS 202205, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    24. Laura Wallenius & Elena Fedorova & Sheraz Ahmed & Mikael Collan, 2017. "Surprise Effect of Euro Area Macroeconomic Announcements on CIVETS Stock Markets," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(1), pages 55-71.
    25. Sola, Martin & Spagnolo, Fabio & Spagnolo, Nicola, 2007. "Predicting Markov volatility switches using monetary policy variables," Economics Letters, Elsevier, vol. 95(1), pages 110-116, April.

Articles

  1. Caporale, Guglielmo Maria & Menla Ali, Faek & Spagnolo, Fabio & Spagnolo, Nicola, 2022. "Cross-border portfolio flows and news media coverage," Journal of International Money and Finance, Elsevier, vol. 126(C).
    See citations under working paper version above.
  2. Chen, Yiyang & Mamon, Rogemar & Spagnolo, Fabio & Spagnolo, Nicola, 2022. "Renewable energy and economic growth: A Markov-switching approach," Energy, Elsevier, vol. 244(PB).

    Cited by:

    1. Triguero-Ruiz, Francisco & Avila-Cano, Antonio & Trujillo Aranda, Francisco, 2023. "Measuring the diversification of energy sources: The energy mix," Renewable Energy, Elsevier, vol. 216(C).
    2. Rabie Said & Muhammad Ishaq Bhatti & Ahmed Imran Hunjra, 2022. "Toward Understanding Renewable Energy and Sustainable Development in Developing and Developed Economies: A Review," Energies, MDPI, vol. 15(15), pages 1-12, July.
    3. Kwag, Kyuhyeong & Shin, Hansol & Oh, Hyobin & Yun, Sangmin & Kim, Tae Hyun & Hwang, Pyeong-Ik & Kim, Wook, 2023. "Bilevel programming approach for the quantitative analysis of renewable portfolio standards considering the electricity market," Energy, Elsevier, vol. 263(PD).
    4. Appiah-Otoo, Isaac & Chen, Xudong & Ampah, Jeffrey Dankwa, 2023. "Exploring the moderating role of foreign direct investment in the renewable energy and economic growth nexus: Evidence from West Africa," Energy, Elsevier, vol. 281(C).
    5. Abraham Deka & Behiye Cavusoglu, 2022. "Examining the role of renewable energy on the foreign exchange rate of the OECD economies with dynamic panel GMM and Bayesian VAR model," SN Business & Economics, Springer, vol. 2(9), pages 1-19, September.
    6. Zaiter, Issa & Ramadan, Mohamad & Bouabid, Ali & El-Fadel, Mutasem & Mezher, Toufic, 2023. "Potential utilization of hydrogen in the UAE's industrial sector," Energy, Elsevier, vol. 280(C).

  3. Caporale, Guglielmo Maria & Kang, Woo-Young & Spagnolo, Fabio & Spagnolo, Nicola, 2021. "Cyber-attacks, spillovers and contagion in the cryptocurrency markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    See citations under working paper version above.
  4. Alanoud Al‐Maadid & Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2021. "Political tension and stock markets in the Arabian Peninsula," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 679-683, January.
    See citations under working paper version above.
  5. Al-Maadid, Alanoud & Caporale, Guglielmo Maria & Spagnolo, Fabio & Spagnolo, Nicola, 2020. "The impact of business and political news on the GCC stock markets," Research in International Business and Finance, Elsevier, vol. 52(C).
    See citations under working paper version above.
  6. Caporale, Guglielmo Maria & Kang, Woo-Young & Spagnolo, Fabio & Spagnolo, Nicola, 2020. "Non-linearities, cyber attacks and cryptocurrencies," Finance Research Letters, Elsevier, vol. 32(C).
    See citations under working paper version above.
  7. Caporale, Guglielmo Maria & Spagnolo, Fabio & Spagnolo, Nicola, 2018. "Exchange rates and macro news in emerging markets," Research in International Business and Finance, Elsevier, vol. 46(C), pages 516-527.
    See citations under working paper version above.
  8. Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2018. "Macro news and bond yield spreads in the euro area," The European Journal of Finance, Taylor & Francis Journals, vol. 24(2), pages 114-134, January.
    See citations under working paper version above.
  9. Caporale, Guglielmo Maria & Spagnolo, Fabio & Spagnolo, Nicola, 2017. "Macro news and exchange rates in the BRICS," Finance Research Letters, Elsevier, vol. 21(C), pages 140-143.
    See citations under working paper version above.
  10. Guglielmo Maria Caporale & Fabio Spagnolo & Nicola Spagnolo, 2017. "Macro News and Commodity Returns," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 68-80, January.
    See citations under working paper version above.
  11. Al-Maadid, Alanoud & Caporale, Guglielmo Maria & Spagnolo, Fabio & Spagnolo, Nicola, 2017. "Spillovers between food and energy prices and structural breaks," International Economics, Elsevier, vol. 150(C), pages 1-18.
    See citations under working paper version above.
  12. Caporale, Guglielmo Maria & Menla Ali, Faek & Spagnolo, Fabio & Spagnolo, Nicola, 2017. "International portfolio flows and exchange rate volatility in emerging Asian markets," Journal of International Money and Finance, Elsevier, vol. 76(C), pages 1-15.

    Cited by:

    1. Fischer, Andreas M. & Greminger, Rafael P. & Grisse, Christian & Kaufmann, Sylvia, 2021. "Portfolio rebalancing in times of stress," Journal of International Money and Finance, Elsevier, vol. 113(C).
    2. Saif Siddiqui & Preeti Roy, 2021. "Asymmetric Effects of Exchange Rate and Its Relationship with Foreign Investments: A Case of Indian Stock Market," Vision, , vol. 25(4), pages 415-427, December.
    3. Salisu, Afees A. & Cuñado, Juncal & Gupta, Rangan, 2022. "Geopolitical risks and historical exchange rate volatility of the BRICS," International Review of Economics & Finance, Elsevier, vol. 77(C), pages 179-190.
    4. Chiang, Shu-Mei & Chen, Chun-Da & Huang, Chien-Ming, 2019. "Analyzing the impacts of foreign exchange and oil price on biofuel commodity futures," Journal of International Money and Finance, Elsevier, vol. 96(C), pages 37-48.
    5. Jammazi, Rania & Ferrer, Román & Jareño, Francisco & Hammoudeh, Shawkat M., 2017. "Main driving factors of the interest rate-stock market Granger causality," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 260-280.
    6. Yeonjeong Lee & Seong-Min Yoon, 2020. "Relationship between International Reserves and FX Rate Movements," Sustainability, MDPI, vol. 12(17), pages 1-24, August.
    7. O. P. C. Muhammed Rafi & M. Ramachandran, 2018. "Capital flows and exchange rate volatility: experience of emerging economies," Indian Economic Review, Springer, vol. 53(1), pages 183-205, December.
    8. Sensoy, Ahmet & Serdengeçti, Süleyman, 2020. "Impact of portfolio flows and heterogeneous expectations on FX jumps: Evidence from an emerging market," International Review of Financial Analysis, Elsevier, vol. 68(C).
    9. Özcan KARAHAN & Olcay ÇOLAK, 2019. "The link between financial capital movements and the exchange rate in Turkey," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 10, pages 263-281, December.
    10. Choi, Yoonho & Choi, E. Kwan, 2022. "Why exchange rate pass-through matters in forward exchange markets," Economic Modelling, Elsevier, vol. 110(C).
    11. Josh Stillwagon & Peter Sullivan, 2020. "Markov switching in exchange rate models: will more regimes help?," Empirical Economics, Springer, vol. 59(1), pages 413-436, July.
    12. Cantú, Carlos, 2019. "Effects of capital controls on foreign exchange liquidity," Journal of International Money and Finance, Elsevier, vol. 93(C), pages 201-222.
    13. Grebenkina, A. & Khandruev, A., 2021. "Difference in intensity of exchange rate factors in countries with targeting inflation regime," Journal of the New Economic Association, New Economic Association, vol. 51(3), pages 125-143.
    14. Liu, Yang & Han, Liyan & Yin, Libo, 2019. "News implied volatility and long-term foreign exchange market volatility," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 126-142.
    15. Chen, Chun-Da & Su, Ching-Hui (Joan) & Chen, Ming-Hsiang, 2022. "Understanding how ESG-focused airlines reduce the impact of the COVID-19 pandemic on stock returns," Journal of Air Transport Management, Elsevier, vol. 102(C).
    16. Thong Trung Nguyen & Muhammad Ali Nasir & Xuan Vinh Vo, 2024. "Exchange rate dynamics of emerging and developing economies: Not all capital flows are alike," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 1115-1124, January.
    17. Utku Altunoz, 2020. "Determining the Interaction of the International Portfolio Flows with Exchange Rate Volatility in Developing Countries," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 6(1), pages 41-54, June.
    18. Martha Flores‐Sosa & Ezequiel Avilés‐Ochoa & José M. Merigó, 2022. "Exchange rate and volatility: A bibliometric review," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 1419-1442, January.
    19. Nguyen Ba Trung, 2024. "Exchange rate uncertainty and economic fluctuations in typical emerging economies," HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE - ECONOMICS AND BUSINESS ADMINISTRATION, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 14(1), pages 88-103.
    20. Yahui Yang & Zhe Peng, 2024. "Openness and Real Exchange Rate Volatility: Evidence from China," Open Economies Review, Springer, vol. 35(1), pages 121-158, February.
    21. Degong Ma & Chun Lei & Farid Ullah & Raza Ullah & Qadar Bakhsh Baloch, 2019. "China’s One Belt and One Road Initiative and Outward Chinese Foreign Direct Investment in Europe," Sustainability, MDPI, vol. 11(24), pages 1-13, December.

  13. Caporale, Guglielmo Maria & Spagnolo, Fabio & Spagnolo, Nicola, 2016. "Macro news and stock returns in the Euro area: A VAR-GARCH-in-mean analysis," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 180-188.
    See citations under working paper version above.
  14. Constantino Hevia & Martin Gonzalez‐Rozada & Martin Sola & Fabio Spagnolo, 2015. "Estimating and Forecasting the Yield Curve Using A Markov Switching Dynamic Nelson and Siegel Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(6), pages 987-1009, September.
    See citations under working paper version above.
  15. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2013. "State-Dependent Threshold Smooth Transition Autoregressive Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 835-854, December.

    Cited by:

    1. Lixiong Yang, 2023. "Variable selection in threshold model with a covariate-dependent threshold," Empirical Economics, Springer, vol. 65(1), pages 189-202, July.
    2. Min Gan & C.L. Philip Chen & Long Chen & Chun-Yang Zhang, 2016. "Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(8), pages 1868-1876, June.
    3. Yang, Lixiong & Su, Jen-Je, 2018. "Debt and growth: Is there a constant tipping point?," Journal of International Money and Finance, Elsevier, vol. 87(C), pages 133-143.
    4. Lixiong Yang & Chingnun Lee & I‐Po Chen, 2021. "Threshold model with a time‐varying threshold based on Fourier approximation," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 406-430, July.
    5. Lixiong Yang, 2020. "State-dependent biases and the quality of China’s preliminary GDP announcements," Empirical Economics, Springer, vol. 59(6), pages 2663-2687, December.
    6. Nauro Campos & Ekaterina Glebkina & Menelaos Karanasos & Panagiotis Koutroumpis, 2023. "Financial Development, Political Instability, Trade Openness and Growth in Brazil: Evidence from a New Dataset, 1890-2003," Open Economies Review, Springer, vol. 34(4), pages 831-861, September.
    7. Zhu Yanli & Chen Haiqiang & Lin Ming, 2019. "Threshold models with time-varying threshold values and their application in estimating regime-sensitive Taylor rules," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 23(5), pages 1-17, December.

  16. Dueker, Michael J. & Psaradakis, Zacharias & Sola, Martin & Spagnolo, Fabio, 2011. "Multivariate contemporaneous-threshold autoregressive models," Journal of Econometrics, Elsevier, vol. 160(2), pages 311-325, February.
    See citations under working paper version above.
  17. Dueker Michael J. & Psaradakis Zacharias & Sola Martin & Spagnolo Fabio, 2011. "Contemporaneous-Threshold Smooth Transition GARCH Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 15(2), pages 1-25, March.
    See citations under working paper version above.
  18. Zacharias Psaradakis & Martin Sola & Fabio Spagnolo & Nicola Spagnolo, 2009. "Selecting nonlinear time series models using information criteria," Journal of Time Series Analysis, Wiley Blackwell, vol. 30(4), pages 369-394, July.

    Cited by:

    1. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2013. "State-Dependent Threshold Smooth Transition Autoregressive Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 835-854, December.
    2. Francesco Giordano & Marcella Niglio & Cosimo Damiano Vitale, 2023. "Linear approximation of the Threshold AutoRegressive model: an application to order estimation," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(1), pages 27-56, March.
    3. Rickard Sandberg, 2018. "Unit Root Testing in Multiple Smooth Break Models with Nonlinear Dynamics," Journal of Time Series Analysis, Wiley Blackwell, vol. 39(6), pages 942-952, November.
    4. Frömmel, Michael, 2006. "Volatility Regimes in Central and Eastern European Countries' Exchange Rates," Hannover Economic Papers (HEP) dp-333, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    5. Ferrara, Laurent & Marcellino, Massimiliano & Mogliani, Matteo, 2015. "Macroeconomic forecasting during the Great Recession: The return of non-linearity?," International Journal of Forecasting, Elsevier, vol. 31(3), pages 664-679.
    6. Diteboho Xaba & Ntebogang Dinah Moroke & Ishmael Rapoo, 2019. "Modeling Stock Market Returns of BRICS with a Markov-Switching Dynamic Regression Model," Journal of Economics and Behavioral Studies, AMH International, vol. 11(3), pages 10-22.
    7. Hee-Young Kim & Christian H. Weiß & Tobias A. Möller, 2020. "Models for autoregressive processes of bounded counts: How different are they?," Computational Statistics, Springer, vol. 35(4), pages 1715-1736, December.
    8. Rinke, Saskia & Sibbertsen, Philipp, 2015. "Information Criteria for Nonlinear Time Series Models," Hannover Economic Papers (HEP) dp-548, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
    9. Greta Goracci, 2021. "An empirical study on the parsimony and descriptive power of TARMA models," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 30(1), pages 109-137, March.
    10. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2007. "Multivariate contemporaneous threshold autoregressive models," Working Papers 2007-019, Federal Reserve Bank of St. Louis.
    11. Line Elvstrøm Ekner & Emil Nejstgaard, 2013. "Parameter Identification in the Logistic STAR Model," Discussion Papers 13-07, University of Copenhagen. Department of Economics.
    12. Sandberg, Rickard, 2016. "Trends, unit roots, structural changes, and time-varying asymmetries in U.S. macroeconomic data: the Stock and Watson data re-examined," Economic Modelling, Elsevier, vol. 52(PB), pages 699-713.
    13. Diteboho Xaba & Ntebogang Dinah Moroke & Johnson Arkaah & Charlemagne Pooe, 2016. "Modeling South African Banks closing stock prices: a Markov-Switching Approach," Journal of Economics and Behavioral Studies, AMH International, vol. 8(1), pages 36-40.
    14. Rinke, Saskia, 2016. "The Influence of Additive Outliers on the Performance of Information Criteria to Detect Nonlinearity," Hannover Economic Papers (HEP) dp-575, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.

  19. Driffill John & Kenc Turalay & Sola Martin & Spagnolo Fabio, 2009. "The Effects of Different Parameterizations of Markov-Switching in a CIR Model of Bond Pricing," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 13(1), pages 1-24, March.

    Cited by:

    1. Michael J. Dueker & Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2013. "State-Dependent Threshold Smooth Transition Autoregressive Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(6), pages 835-854, December.
    2. Constantino Hevia & Martin Gonzalez‐Rozada & Martin Sola & Fabio Spagnolo, 2015. "Estimating and Forecasting the Yield Curve Using A Markov Switching Dynamic Nelson and Siegel Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(6), pages 987-1009, September.
    3. Marcellino, Massimiliano, 2011. "Markov-switching MIDAS models," CEPR Discussion Papers 8234, C.E.P.R. Discussion Papers.

  20. Sola, Martin & Spagnolo, Fabio & Spagnolo, Nicola, 2007. "Predicting Markov volatility switches using monetary policy variables," Economics Letters, Elsevier, vol. 95(1), pages 110-116, April.

    Cited by:

    1. Caglayan, Mustafa & Kandemir Kocaaslan, Ozge & Mouratidis, Kostas, 2016. "Financial Depth and the Asymmetric Impact of Monetary Policy," MPRA Paper 75250, University Library of Munich, Germany, revised Aug 2016.
    2. Kostas Mouratidis & Dimitris Kenourgios & Aris Samitas, 2010. "Evaluating currency crisis:A multivariate Markov switching approach," Working Papers 2010018, The University of Sheffield, Department of Economics, revised Oct 2010.
    3. Lopes, José Mário & Nunes, Luis C., 2012. "A Markov regime switching model of crises and contagion: The case of the Iberian countries in the EMS," Journal of Macroeconomics, Elsevier, vol. 34(4), pages 1141-1153.
    4. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2015. "The Role of Financial Depth on The Asymmetric Impact of Monetary Policy," EcoMod2015 8285, EcoMod.
    5. Chauvet, Marcelle & Jiang, Cheng, 2023. "Nonlinear relationship between monetary policy and stock returns: Evidence from the U.S," Global Finance Journal, Elsevier, vol. 55(C).

  21. Dueker, Michael J. & Sola, Martin & Spagnolo, Fabio, 2007. "Contemporaneous threshold autoregressive models: Estimation, testing and forecasting," Journal of Econometrics, Elsevier, vol. 141(2), pages 517-547, December.
    See citations under working paper version above.
  22. Psaradakis Zacharias & Sola Martin & Spagnolo Fabio, 2006. "Instrumental-Variables Estimation in Markov Switching Models with Endogenous Explanatory Variables: An Application to the Term Structure of Interest Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-31, May.

    Cited by:

    1. Jaromír Baxa & Roman Horváth & Borek Vasícek, 2010. "How Does Monetary Policy Change? Evidence on Inflation Targeting Countries," Working Papers wpdea1007, Department of Applied Economics at Universitat Autonoma of Barcelona.
    2. Jinho Bae & Chang-Jin Kim & Dong Heon Kim, 2011. "The Evolution of the Monetary Policy Regimes in the U.S," Discussion Paper Series 1102, Institute of Economic Research, Korea University.
    3. Wang Xia & Shang Yuhuang & Zheng Tingguo, 2014. "An extensive study on Markov switching models with endogenous regressors," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(4), pages 1-16, September.
    4. Barry E. Jones & Travis D. Nesmith, 2006. "Linear cointegration of nonlinear time series with an application to interest rate dynamics," Finance and Economics Discussion Series 2007-03, Board of Governors of the Federal Reserve System (U.S.).
    5. Robert Faff & Sirimon Treepongkaruna, 2013. "A re-examination of the empirical performance of the Longstaff and Schwartz two-factor term structure model using real yield data," Australian Journal of Management, Australian School of Business, vol. 38(2), pages 333-352, August.

  23. Martin Sola & Zacharias Psaradakis & Fabio Spagnolo, 2005. "Testing the unbiased forward exchange rate hypothesis using a Markov switching model and instrumental variables," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(3), pages 423-437.

    Cited by:

    1. Manamba Epaphra & Khatibu Kazungu, 2021. "Efficiency of Tanzania's foreign exchange market," African Development Review, African Development Bank, vol. 33(2), pages 368-381, June.
    2. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00658540, HAL.
    3. Haroon Mumtaz & Paolo Surico, 2015. "The Transmission Mechanism In Good And Bad Times," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1237-1260, November.
    4. Argyropoulos Efthymios & Tzavalis Elias, 2015. "Term spread regressions of the rational expectations hypothesis of the term structure allowing for risk premium effects," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(1), pages 49-70, February.
    5. Zheng, Tingguo & Zuo, Haomiao, 2013. "Reexamining the time-varying volatility spillover effects: A Markov switching causality approach," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 643-662.
    6. Jinho Bae & Chang-Jin Kim & Dong Heon Kim, 2011. "The Evolution of the Monetary Policy Regimes in the U.S," Discussion Paper Series 1102, Institute of Economic Research, Korea University.
    7. Mustafa Caglayan & Ozge Kandemir & Kostas Mouratidis, 2012. "The Impact of Inflation Uncertainty on Economic Growth: A MRS-IV Approach," Working Papers 2012025, The University of Sheffield, Department of Economics.
    8. Caglayan, Mustafa & Kandemir Kocaaslan, Ozge & Mouratidis, Kostas, 2016. "Financial Depth and the Asymmetric Impact of Monetary Policy," MPRA Paper 75250, University Library of Munich, Germany, revised Aug 2016.
    9. Alejandro Islas-Camargo & Willy Walter Cortez & Tania Pamela Sanabria Flores, 2018. "Is Mexico's Forward Exchange Rate Market Efficient?," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 13(2), pages 273-289, Abril-Jun.
    10. Zhiguang Wang & Prasad Bidarkota, 2012. "Risk premia in forward foreign exchange rates: a comparison of signal extraction and regression methods," Empirical Economics, Springer, vol. 42(1), pages 21-51, February.
    11. Yang, Lu & Cai, Xiao Jing & Zhang, Huimin & Hamori, Shigeyuki, 2016. "Interdependence of foreign exchange markets: A wavelet coherence analysis," Economic Modelling, Elsevier, vol. 55(C), pages 6-14.
    12. Shyh-Wei Chen, 2010. "Testing the hypothesis of market efficiency in the Taiwan-US forward exchange market since 1990," Applied Economics, Taylor & Francis Journals, vol. 42(1), pages 121-132.
    13. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
    14. Psaradakis Zacharias & Sola Martin & Spagnolo Fabio, 2006. "Instrumental-Variables Estimation in Markov Switching Models with Endogenous Explanatory Variables: An Application to the Term Structure of Interest Rates," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(2), pages 1-31, May.
    15. Wang Xia & Shang Yuhuang & Zheng Tingguo, 2014. "An extensive study on Markov switching models with endogenous regressors," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(4), pages 1-16, September.
    16. Saba Qureshi & Muhammad Aftab, 2023. "Exchange Rate Interdependence in ASEAN Markets: A Wavelet Analysis," Global Business Review, International Management Institute, vol. 24(6), pages 1180-1204, December.
    17. Balvers, Ronald J. & Klein, Alina F., 2014. "Currency risk premia and uncovered interest parity in the International CAPM," Journal of International Money and Finance, Elsevier, vol. 41(C), pages 214-230.
    18. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2016. "Regime Dependent Effects of Inflation Uncertainty on Real Growth: A Markov Switching Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(2), pages 135-155, May.
    19. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2015. "The Role of Financial Depth on The Asymmetric Impact of Monetary Policy," EcoMod2015 8285, EcoMod.
    20. Brian Lucey & Grace Loring, 2012. "Forward Exchange Rate Biasedness across Developed and Developing Country Currencies - Do Observed Patterns Persist Out of Sample?Abstract:," The Institute for International Integration Studies Discussion Paper Series iiisdp404, IIIS.
    21. Mustafa Caglayan & Ozge Kandemir & Kostas Mouratidis, 2011. "Real effects of inflation uncertainty in the US," Working Papers 2011002, The University of Sheffield, Department of Economics, revised Feb 2015.
    22. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Post-Print halshs-00658540, HAL.
    23. Phungo, Muka & Bonga-Bonga, Lumengo, 2019. "An analysis of the unbiased forward rate hypothesis in developed and emerging economies," MPRA Paper 92222, University Library of Munich, Germany.

  24. Zacharias Psaradakis & Fabio Spagnolo, 2005. "Forecast performance of nonlinear error-correction models with multiple regimes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 119-138.

    Cited by:

    1. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00658540, HAL.
    2. Terasvirta, Timo, 2006. "Forecasting economic variables with nonlinear models," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 8, pages 413-457, Elsevier.
    3. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Post-Print halshs-00658540, HAL.

  25. Jerry Coakley & Ana‐Maria Fuertes & Fabio Spagnolo, 2004. "Is the Feldstein–Horioka Puzzle History?," Manchester School, University of Manchester, vol. 72(5), pages 569-590, September.

    Cited by:

    1. Vasudeva N.R. Murthy & Natalya Ketenci, 2021. "The Feldstein–Horioka hypothesis for African countries: Evidence from recent panel error‐correction modelling," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(4), pages 5762-5774, October.
    2. Coakley, Jerry & Fuertes, Ana-Maria & Smith, Ron, 2006. "Unobserved heterogeneity in panel time series models," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2361-2380, May.
    3. Asdrubali, Pierfederico & Kim, Soyoung, 2009. "Consumption smoothing channels in open economies," Journal of Banking & Finance, Elsevier, vol. 33(12), pages 2293-2300, December.
    4. Rao, B. Bhaskara & Tamazian, Artur & Kumar, Saten, 2009. "Systems GMM estimates of the Feldstein-Horioka puzzle for the OECD countries and tests for structural breaks," MPRA Paper 15312, University Library of Munich, Germany.
    5. Herwartz, Helmut & Xu, Fang, 2007. "A functional coefficient model view of the Feldstein-Horioka puzzle," Economics Working Papers 2007-14, Christian-Albrechts-University of Kiel, Department of Economics.
    6. Francesca Iorio & Stefano Fachin, 2014. "Savings and investments in the OECD: a panel cointegration study with a new bootstrap test," Empirical Economics, Springer, vol. 46(4), pages 1271-1300, June.
    7. Zubarev, Andrei & Trunin, Pavel, 2013. "The Feldstein-Horioka paradox: modern aspects," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, pages 54-73, August.
    8. Bangake, Chrysost & Eggoh, Jude C., 2011. "The Feldstein-Horioka puzzle in African countries: A panel cointegration analysis," Economic Modelling, Elsevier, vol. 28(3), pages 939-947, May.
    9. Fabiana Rocha, 2009. "Heterogeneity, saving-investment dynamics and capital mobility in Latin America," Empirical Economics, Springer, vol. 36(3), pages 611-619, June.
    10. Saten Kumar & B. Bhaskara Rao, 2011. "A Time‐series Approach to the Feldstein–Horioka Puzzle with Panel Data from the OECD Countries," The World Economy, Wiley Blackwell, vol. 34(3), pages 473-485, March.
    11. Muhammad Shahbaz & Nadeem Ahmad & Abu Wahid, 2010. "Savings–Investment Correlation and Capital Outflow: The Case of Pakistan," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 17(1), pages 80-97, May.
    12. Iorio, Francesca Di & Fachin, Stefano, 2014. "Savings and investments in the OECD, 1970–2007: A test of panel cointegration with regime changes," The North American Journal of Economics and Finance, Elsevier, vol. 28(C), pages 59-76.
    13. Trapani, Lorenzo, 2021. "Inferential theory for heterogeneity and cointegration in large panels," Journal of Econometrics, Elsevier, vol. 220(2), pages 474-503.
    14. Ginama, Isamu & Hayakawa, Kazuhiko & Kanmei, Takahiro, 2018. "Examining the Feldstein–Horioka puzzle using common factor panels and interval estimation," Japan and the World Economy, Elsevier, vol. 48(C), pages 11-21.
    15. Ibrahim Raheem & Kazeem Ajide & Oluwatosin Adeniyi, 2015. "Is there a role for governance in the saving-investment nexus for Sub-Saharan Africa?," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 17(2), pages 120-134, October.
    16. Drakos, Anastassios A. & Kouretas, Georgios P. & Stavroyiannis, Stavros & Zarangas, Leonidas, 2017. "Is the Feldstein-Horioka puzzle still with us? National saving-investment dynamics and international capital mobility: A panel data analysis across EU member countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 76-88.
    17. Rao, B. Bhaskara & Kumar, Saten, 2009. "A panel data approach to the demand for money and the effects of financial reforms in the Asian countries," Economic Modelling, Elsevier, vol. 26(5), pages 1012-1017, September.
    18. Mariam Camarero & Alejandro Muñoz & Cecilio Tamarit, 2021. "50 Years of Capital Mobility in the Eurozone: Breaking the Feldstein-Horioka Puzzle," Open Economies Review, Springer, vol. 32(5), pages 867-905, November.
    19. Mariam Camarero & Alejandro Muñoz & Cecilio Tamarit, 2022. "The rise and fall of global financial flows in EU 15: new evidence using dynamic panels with common correlated effects," Working Papers 2212, Department of Applied Economics II, Universidad de Valencia.
    20. Rajarshi Mitra, 2015. "Saving-Investment Correlation and Capital Flows: The Philippines 1960-2014," Economics Bulletin, AccessEcon, vol. 35(4), pages 2853-2861.
    21. Wang, Shoukun, 2016. "China's interregional capital mobility: A spatial econometric estimation," China Economic Review, Elsevier, vol. 41(C), pages 114-128.
    22. Smith, Ron P. & Zoega, Gylfi, 2007. "Global Factors, Unemployment Adjustment and the Natural Rate," Economics Discussion Papers 2007-48, Kiel Institute for the World Economy (IfW Kiel).
    23. Erdal Ozmen, 2007. "Financial development, exchange rate regimes and the Feldstein-Horioka puzzle: evidence from the MENA region," Applied Economics, Taylor & Francis Journals, vol. 39(9), pages 1133-1138.
    24. Berger, Johannes & Strohner, Ludwig, 2020. "Documentation of the PUblic Policy Model for Austria and other European countries (PUMA)," Research Papers 11, EcoAustria – Institute for Economic Research.
    25. Margarita Katsimi & Gylfi Zoega, 2016. "European Integration and the Feldstein–Horioka Puzzle," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 834-852, December.
    26. Jamilov, Rustam, 2013. "Capital mobility in the Caucasus," Economic Systems, Elsevier, vol. 37(2), pages 155-170.
    27. Kumar, Saten, 2015. "Regional integration, capital mobility and financial intermediation revisited: Application of general to specific method in panel data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 36(C), pages 1-17.
    28. Georgopoulos, George & Hejazi, Walid, 2009. "The Feldstein-Horioka puzzle revisited: Is the home-bias much less?," International Review of Economics & Finance, Elsevier, vol. 18(2), pages 341-350, March.
    29. Trapani, Lorenzo, 2012. "On the asymptotic t-test for large nonstationary panel models," Computational Statistics & Data Analysis, Elsevier, vol. 56(11), pages 3286-3306.
    30. João Sousa Andrade, 2007. "L’Intégration Européenne et la Soutenabilité Externe de l’Union Européenne: une application de la thèse de Feldstein-Horioka," GEMF Working Papers 2007-05, GEMF, Faculty of Economics, University of Coimbra.
    31. Fuertes, Ana-Maria, 2008. "Sieve bootstrap t-tests on long-run average parameters," Computational Statistics & Data Analysis, Elsevier, vol. 52(7), pages 3354-3370, March.
    32. Nell, Kevin S. & Santos, Luis Delfim, 2008. "The Feldstein-Horioka hypothesis versus the long-run solvency constraint model: A critical assessment," Economics Letters, Elsevier, vol. 98(1), pages 66-70, January.
    33. Mohammad, Masud Alam & Mohammad, Rafiqul Islam, 2010. "Revisiting the Feldstein-Horioka Hypothesis of savings, investment and capital mobility: evidence from 27 EU countries," MPRA Paper 39383, University Library of Munich, Germany.
    34. Chakrabarti, Avik, 2006. "The saving-investment relationship revisited: New evidence from multivariate heterogeneous panel cointegration analyses," Journal of Comparative Economics, Elsevier, vol. 34(2), pages 402-419, June.
    35. Rajarshi Mitra, 2017. "Domestic Saving-Investment Correlation Puzzle Revisited: A Time Series Analysis for South Africa," Economics Bulletin, AccessEcon, vol. 37(2), pages 1217-1225.
    36. Jerry Coakley & Stuart Snaith, 2004. "Testing for Long Run Relative PPP in Europe," Money Macro and Finance (MMF) Research Group Conference 2004 34, Money Macro and Finance Research Group.
    37. Mosharrof Hosen & Mohammed Imran & Mohammad Ashraful Ferdous Chowdhury, 2021. "Nexus Between Sectoral Shift and Stock Return: Insights From Bangladesh," International Journal of Asian Business and Information Management (IJABIM), IGI Global, vol. 12(1), pages 75-93, January.
    38. Saten Kumar & Scott Fargher & Don J. Webber, 2009. "Testing the validity of the Feldstein-Horioka puzzle for Australia," Working Papers 0911, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    39. Burak Erkut & Gagan Deep Sharma, 2023. "Financial integration in Asia: new Empirical evidence using dynamic panel data estimations," International Economics and Economic Policy, Springer, vol. 20(1), pages 213-231, February.
    40. Kaya-Bahçe, Seçil & Özmen, Erdal, 2008. "Exchange rate regimes, saving glut and the Feldstein–Horioka puzzle: The East Asian experience," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(11), pages 2561-2564.
    41. Rocha, Fabiana, 2005. "Heterogeneity, cross section dependence and capital mobility in developing countries," Economics Letters, Elsevier, vol. 89(1), pages 18-23, October.
    42. Apergis, Nicholas & Tsoumas, Chris, 2009. "A survey of the Feldstein-Horioka puzzle: What has been done and where we stand," Research in Economics, Elsevier, vol. 63(2), pages 64-76, June.
    43. Wei, Yong Sze & Suhaimi, rosita & Kueh, Jerome, 2016. "Analysis of International Capital Mobility in ASEAN-5 Countries: Savings- Investment Nexus," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 50(2), pages 155-165.
    44. Vasudeva N. R. Murthy & Natalya Ketenci, 2020. "Capital mobility in Latin American and Caribbean countries: new evidence from dynamic common correlated effects panel data modeling," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-17, December.
    45. Pavel Trunin & Andrey Zubarev, 2013. "The Feldstein-Horioka Puzzle: Modern Aspects," Working Papers 0070, Gaidar Institute for Economic Policy, revised 2013.
    46. Duran, Hasan Engin & Ferreira-Lopes, Alexandra, 2022. "The Revival Of The Feldstein-Horioka Puzzle And Moderation Of Capital Flows After The Global Financial Crisis (2008/09)," Research in International Business and Finance, Elsevier, vol. 60(C).
    47. Bahmani-Oskooee, Mohsen & Chakrabarti, Avik, 2005. "Openness, size, and the saving-investment relationship," Economic Systems, Elsevier, vol. 29(3), pages 283-293, September.
    48. Ibrahim Dolapo Raheem, 2017. "More Finance or Better Finance in Feldstein–Horioka Puzzle: Evidence from SSA Countries," Global Business Review, International Management Institute, vol. 18(1), pages 132-143, February.
    49. Costantini, Mauro & Gutierrez, Luciano, 2013. "Capital mobility and global factor shocks," Economics Letters, Elsevier, vol. 120(3), pages 513-515.
    50. Garrison Hongyu Song, 2022. "Capital Mobility vs. Labor Mobility:Theory and Implications," International Journal of Economics and Financial Issues, Econjournals, vol. 12(4), pages 47-55, July.
    51. Erdal Özmen, 2004. "Current Account Deficits, Macroeconomic Policy Stance and Governance: An Empirical Investigation," ERC Working Papers 0414, ERC - Economic Research Center, Middle East Technical University, revised Oct 2004.
    52. Mariam Camarero & Juan Sapena & Cecilio Tamarit, 2018. "FH Puzzle in the Eurozone: A time-varying analysis Preliminary Draft," Working Papers 1813, Department of Applied Economics II, Universidad de Valencia.
    53. Narayan, Paresh Kumar & Narayan, Seema, 2010. "Testing for capital mobility: New evidence from a panel of G7 countries," Research in International Business and Finance, Elsevier, vol. 24(1), pages 15-23, January.
    54. Abu N.M. Wahid & Mohammad Salahuddin & Abdullah M. Noman, 2010. "Savings and investment in South Asia," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 37(6), pages 658-666, November.
    55. Zodrow, George R., 2010. "Capital Mobility and Capital Tax Competition," National Tax Journal, National Tax Association;National Tax Journal, vol. 63(4), pages 865-901, December.
    56. Despina Petreska & Nikica Mojsoska-Blazevski, 2013. "The Feldstein-Horioka Puzzle And Transition Economies," Economic Annals, Faculty of Economics and Business, University of Belgrade, vol. 58(197), pages 23-46, April – J.
    57. Di Iorio, Francesca & Fachin, Stefano, 2010. "A Panel Cointegration study of the long-run relationship between Savings and Investments in the OECD economies, 1970-2007," MPRA Paper 25873, University Library of Munich, Germany.
    58. Aleksander Aristovnik, 2005. "Twin Deficits Hypothesis And Horioka-Feldstein Puzzle In Transition Economies," International Finance 0510020, University Library of Munich, Germany.
    59. Li, Cheng, 2010. "Savings, investment, and capital mobility within China," China Economic Review, Elsevier, vol. 21(1), pages 14-23, March.
    60. Akhil Sharma & Tarun Vashishat & Abdul Rishad, 2019. "The consequences of exchange rate trends on international tourism demand: evidence from India," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 21(2), pages 270-287, December.
    61. Holmes, Mark J. & Otero, Jesús, 2014. "Re-examining the Feldstein–Horioka and Sachs' views of capital mobility: A heterogeneous panel setup," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 1-11.
    62. Hasnul, Al Gifari & Masih, Mansur, 2016. "Role of instability in affecting capital flight magnitude: An ARDL bounds testing approach," MPRA Paper 72086, University Library of Munich, Germany.
    63. Solarin Sakiru Adebola & Jauhari Dahalan, 2012. "Capital Mobility: An Application of Savings-Investment Link for Tunisia," International Journal of Economics and Financial Issues, Econjournals, vol. 2(1), pages 1-11.
    64. Jamilov, Rustam, 2012. "Capital mobility in the Caucasus," MPRA Paper 38184, University Library of Munich, Germany, revised Apr 2012.
    65. Yannick BINEAU, 2010. "A Empirical Assessment of the Feldstein and Horioka Literature," EcoMod2010 259600030, EcoMod.
    66. James Payne & Hassan Mohammadi, 2006. "Capital mobility and savings-investment correlations: panel data evidence from transition economies," Applied Economics Letters, Taylor & Francis Journals, vol. 13(10), pages 611-613.
    67. Helmut Herwartz & Florian Siedenburg, 2007. "Determinants of Current Account Imbalances in 16 OECD Countries: An Out-Of-Sample Perspective," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 143(2), pages 349-374, July.
    68. Dash, Santosh Kumar, 2019. "Has the Feldstein-Horioka puzzle waned? Evidence from time series and dynamic panel data analysis," Economic Modelling, Elsevier, vol. 83(C), pages 256-269.
    69. Ziesemer, Thomas, 2005. "Growth with perfect capital movements in CES: US Debt Dynamics and model estimation," Research Memorandum 012, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).

  26. Raybaudi, Marzia & Sola, Martin & Spagnolo, Fabio, 2004. "Red signals: current account deficits and sustainability," Economics Letters, Elsevier, vol. 84(2), pages 217-223, August.

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    1. Antonio Afonso & Florence Huart & João Tovar Jalles & Piotr Stanek, 2018. "Assessing the sustainability of external imbalances in the European Union," Post-Print hal-01914597, HAL.
    2. Camacho, Maximo, 2011. "Markov-switching models and the unit root hypothesis in real US GDP," Economics Letters, Elsevier, vol. 112(2), pages 161-164, August.
    3. Antonio Afonso & Florence Huart & João Tovar Jalles & Piotr Stanek, 2019. "Long-run relationship between exports and imports: current account sustainability tests for the EU," Post-Print hal-02499351, HAL.
    4. Chen, Shyh-Wei, 2011. "Are current account deficits really sustainable in the G-7 countries?," Japan and the World Economy, Elsevier, vol. 23(3), pages 190-201.
    5. Chen, Shyh-Wei & Xie, Zixiong, 2015. "Testing for current account sustainability under assumptions of smooth break and nonlinearity," International Review of Economics & Finance, Elsevier, vol. 38(C), pages 142-156.
    6. Anton Velinov, 2014. "Assessing the Sustainability of Government Debt: On the Different States of the Debt/GDP Process," Discussion Papers of DIW Berlin 1359, DIW Berlin, German Institute for Economic Research.
    7. Chen, Shyh-Wei, 2011. "Current account deficits and sustainability: Evidence from the OECD countries," Economic Modelling, Elsevier, vol. 28(4), pages 1455-1464, July.
    8. Kuang-Liang Chang, 2012. "Stock return predictability and stationarity of dividend yield," Economics Bulletin, AccessEcon, vol. 32(1), pages 715-729.
    9. Chen, Shyh-Wei, 2014. "Smooth transition, non-linearity and current account sustainability: Evidence from the European countries," Economic Modelling, Elsevier, vol. 38(C), pages 541-554.
    10. Tarlok Singh, 2017. "Are Current Account Deficits in the OECD Countries Sustainable? Robust Evidence from Time-Series Estimators," The International Trade Journal, Taylor & Francis Journals, vol. 31(1), pages 29-64, January.
    11. Holmes Mark J. & Panagiotidis Theodore, 2009. "Cointegration and Asymmetric Adjustment: Some New Evidence Concerning the Behavior of the U.S. Current Account," The B.E. Journal of Macroeconomics, De Gruyter, vol. 9(1), pages 1-25, June.
    12. Daniel Ordoñez-Callamand & Luis F. Melo-Velandia & Oscar M. Valencia-Arana, 2017. "Current Account Sustainability in Latin America Considering Nonlinearities," Borradores de Economia 987, Banco de la Republica de Colombia.
    13. Mohammed Shuaibu & Mutiu Abimbola Oyinlola, 2017. "An Empirical Analysis of Nigeria’s Current Account Sustainability," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 11(1), pages 54-76, February.
    14. Takeuchi, Fumihide, 2010. "US external debt sustainability revisited: Bayesian analysis of extended Markov switching unit root test," Japan and the World Economy, Elsevier, vol. 22(2), pages 98-106, March.
    15. Gil Kim & Lian An & Yoonbai Kim, 2012. "The behaviour of the real exchange rate and current account," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 5(2), pages 139-160, December.
    16. Nurgun Topalli & İbrahim Dogan, 2016. "The structure and sustainability of current account deficit: Turkish evidence from regime switching," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 25(4), pages 570-589, June.
    17. Vasif Abioglu & Suleyman Koc & Ibrahim Bakirtas, 2021. "The sustainability of the Turkish current account: Smooth structural break and asymmetric adjustments," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 3916-3929, July.
    18. Olufemi G. Onatunji, 2023. "Sustainability of current account deficits in Nigeria: evidence from the asymmetric NARDL approach," SN Business & Economics, Springer, vol. 3(10), pages 1-22, October.
    19. Baharumshah, Ahmad Zubaidi & Soon, Siew-Voon & Lau, Evan, 2017. "Fiscal sustainability in an emerging market economy: When does public debt turn bad?," Journal of Policy Modeling, Elsevier, vol. 39(1), pages 99-113.
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    21. Theo Panagiotidis & Mark J Holmes, 2005. "Sustainability and Asymmetric Adjustment: Some New Evidence Concerning Behaviour of the US Current Account," Money Macro and Finance (MMF) Research Group Conference 2005 29, Money Macro and Finance Research Group.
    22. Christophe Andre & Mehmet Balcilar & Tsangyao Chang & Luis Alberiko Gil-Alana & Rangan Gupta, 2018. "Current account sustainability in G7 and BRICS: Evidence from a long-memory model with structural breaks," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 27(6), pages 638-654, August.
    23. Singh Tarlok, 2017. "Sustainability of Current Account Deficits in the OECD Countries: Evidence from Panel Data Estimators," Global Economy Journal, De Gruyter, vol. 17(4), pages 1-16, December.
    24. Rosaria Canale & Ugo Marani, 2015. "Current account and fiscal imbalances in the Eurozone: Siamese twins in an asymmetrical currency union," International Economics and Economic Policy, Springer, vol. 12(2), pages 189-203, June.
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    26. Resat CEYLAN, 2018. "Kirilgan Beslide Cari Aciklarin Surdurulebilirligi: Dogrusal Olmayan Birim Kok Testleri Ile Kanitlar," Ege Academic Review, Ege University Faculty of Economics and Administrative Sciences, vol. 18(1), pages 121-134.
    27. Chen, Shyh-Wei, 2013. "Long memory and regime switching properties of current account deficits in the US," Economic Modelling, Elsevier, vol. 35(C), pages 78-87.

  27. Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2004. "On Markov error-correction models, with an application to stock prices and dividends," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 69-88.

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    1. Jammazi, Rania & Lahiani, Amine & Nguyen, Duc Khuong, 2015. "A wavelet-based nonlinear ARDL model for assessing the exchange rate pass-through to crude oil prices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 173-187.
    2. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00658540, HAL.
    3. Nikeel Kumar & Ronald Ravinesh Kumar & Radika Kumar & Peter Josef Stauvermann, 2020. "Is the tourism–growth relationship asymmetric in the Cook Islands? Evidence from NARDL cointegration and causality tests," Tourism Economics, , vol. 26(4), pages 658-681, June.
    4. Taniya Ghosh & Prashant Mehul Parab, 2021. "Assessing India's productivity trends and endogenous growth: New evidence from technology, human capital and foreign direct investment," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2021-004, Indira Gandhi Institute of Development Research, Mumbai, India.
    5. Chen, Shyh-Wei, 2011. "Are current account deficits really sustainable in the G-7 countries?," Japan and the World Economy, Elsevier, vol. 23(3), pages 190-201.
    6. Heejoon Han & Na Kyeong Lee, 2018. "Modeling the Dynamics between Stock Price and Dividend: An Endogenous Regime Switching Approach," Korean Economic Review, Korean Economic Association, vol. 34, pages 213-235.
    7. David G. McMillan, 2010. "Present Value Model, Bubbles and Returns Predictability: Sector‐Level Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(5‐6), pages 668-686, June.
    8. McMillan, David G., 2009. "Are share prices still too high?," Research in International Business and Finance, Elsevier, vol. 23(3), pages 223-232, September.
    9. Fernando Alexandre & Vasco J. Gabriel & Pedro Bação, 2007. "The Consumption-Wealth Ratio Under Asymmetric Adjustment," NIPE Working Papers 15/2007, NIPE - Universidade do Minho.
    10. Esteve García, Vicente & Navarro Ibáñez, Manuel & Prats Albentosa, María Asuncíon, 2017. "The present value model of U.S. stock prices revisited: Long-run evidence with structural breaks, 1871-2012," Economics Discussion Papers 2017-93, Kiel Institute for the World Economy (IfW Kiel).
    11. Gustavo Cabrera González, 2019. "Modeling and Projection of the Mexican Exchange Rate (Peso/Dollar): a Bayesian Approach for Model Selection," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 14(2), pages 203-219, Abril-Jun.
    12. Eissa, Mohamad Abdelaziz & Al Refai, Hisham, 2019. "Modelling the symmetric and asymmetric relationships between oil prices and those of corn, barley, and rapeseed oil," Resources Policy, Elsevier, vol. 64(C).
    13. Mehmet Balcilar & Godwin Olasehinde-Williams & Muhammad Shahbaz, 2018. "Asymmetric Dynamics of Insurance Premium: The Impact of Monetary Policy Uncertainty on Insurance Premiums in Japan," Working Papers 15-39, Eastern Mediterranean University, Department of Economics.
    14. Girardin, Eric & Liu, Zhenya, 2007. "The financial integration of China: New evidence on temporally aggregated data for the A-share market," China Economic Review, Elsevier, vol. 18(3), pages 354-371.
    15. Sugita, Katsuhiro, 2008. "Bayesian analysis of a Markov switching temporal cointegration model," Japan and the World Economy, Elsevier, vol. 20(2), pages 257-274, March.
    16. Benkraiem, Ramzi & Lahiani, Amine & Miloudi, Anthony & Shahbaz, Muhammad, 2019. "The asymmetric role of shadow economy in the energy-growth nexus in Bolivia," Energy Policy, Elsevier, vol. 125(C), pages 405-417.
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    19. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2014. "Regime Switching Model of US Crude Oil and Stock Market Prices: 1859 to 2013," Working papers 2014-26, University of Connecticut, Department of Economics.
    20. Katsuhiro Sugita, 2017. "Time Series Analysis of the US Term Structure of Interest Rates Using a Bayesian Markov Switching Cointegration Model," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(3), pages 49-56, March.
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    22. Katrakilidis, Constantinos & Trachanas, Emmanouil, 2012. "What drives housing price dynamics in Greece: New evidence from asymmetric ARDL cointegration," Economic Modelling, Elsevier, vol. 29(4), pages 1064-1069.
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    29. Esteve, Vicente & Navarro-Ibáñez, Manuel & Prats, María A., 2020. "Stock prices, dividends, and structural changes in the long-term: The case of U.S," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
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    31. David E. Allen & Michael McAleer, 2020. "A Nonlinear Autoregressive Distributed Lag (NARDL) Analysis of West Texas Intermediate Oil Prices and the DOW JONES Index," Energies, MDPI, vol. 13(15), pages 1-11, August.
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    35. Skrobotov, Anton, 2021. "Structural breaks in cointegration models," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 63, pages 117-141.
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    39. Goodness C. Aye & Tsangyao Chang & Rangan Gupta, 2015. "Is Gold an Inflation-Hedge? Evidence from an Interrupted Markov-Switching Cointegration Model," Working Papers 201559, University of Pretoria, Department of Economics.
    40. Balcilar, Mehmet & Hammoudeh, Shawkat & Asaba, Nwin-Anefo Fru, 2015. "A regime-dependent assessment of the information transmission dynamics between oil prices, precious metal prices and exchange rates," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 72-89.
    41. Chevallier, Julien, 2011. "Evaluating the carbon-macroeconomy relationship: Evidence from threshold vector error-correction and Markov-switching VAR models," Economic Modelling, Elsevier, vol. 28(6), pages 2634-2656.
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    43. McMillan, David G., 2014. "Stock return, dividend growth and consumption growth predictability across markets and time: Implications for stock price movement," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 90-101.
    44. Pelin ÖGE GÜNEY, 2013. "The Term Structure of Interest Rates: A Cointegration Analysis in the Non-Linear STAR Framework," Journal of Economics and Behavioral Studies, AMH International, vol. 5(12), pages 851-860.
    45. Cai, Charlie X. & McGuinness, Paul B. & Zhang, Qi, 2011. "The pricing dynamics of cross-listed securities: The case of Chinese A- and H-shares," Journal of Banking & Finance, Elsevier, vol. 35(8), pages 2123-2136, August.
    46. Bothwell Nyoni & Andrew Phiri, 2018. "The Electricity-growth Nexus in South Africa: Evidence from Asymmetric Cointegration and Co-feature Analysis," International Journal of Energy Economics and Policy, Econjournals, vol. 8(6), pages 80-88.
    47. Prashant Parab, 2022. "Exchange rate pass-through in India," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2022-012, Indira Gandhi Institute of Development Research, Mumbai, India.
    48. Judge, Amrit & Reancharoen, Tipprapa, 2014. "An empirical examination of the lead–lag relationship between spot and futures markets: Evidence from Thailand," Pacific-Basin Finance Journal, Elsevier, vol. 29(C), pages 335-358.
    49. Pan, Xiongfeng & Uddin, Md. Kamal & Saima, Umme & Guo, Shucen & Guo, Ranran, 2019. "Regime switching effect of financial development on energy intensity: Evidence from Markov-switching vector error correction model," Energy Policy, Elsevier, vol. 135(C).
    50. Muhammad Shahbaz & Naceur Khraief & Robert L. Czudaj, 2020. "Renewable energy consumption-economic growth nexus in G7 countries: New evidence from a nonlinear ARDL approach," Economics Bulletin, AccessEcon, vol. 40(4), pages 2828-2843.
    51. Demir, Ayse U. & Hall, Stephen G., 2017. "Financial structure and economic development: Evidence on the view of ‘new structuralism’," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 252-259.
    52. Badamvaanchig, Mungunzul & Islam, Moinul & Kakinaka, Makoto, 2021. "Pass-through of commodity price to Mongolian stock price: Symmetric or asymmetric?," Resources Policy, Elsevier, vol. 70(C).
    53. Frömmel, Michael & Schmidt, Torsten, 2006. "Bank Lending and Asset Prices in the Euro Area," RWI Discussion Papers 42, RWI - Leibniz-Institut für Wirtschaftsforschung.
    54. Muhammad Ahad & Ijaz ur Rehman & Fiza Qureshi & Waqas Hanif & Zaheer Anwer, 2018. "Modelling Asymmetric Impact of Home Country Macroeconomic Variables on American Depository Receipts: Evidence from Eurozone," Annals of Economics and Finance, Society for AEF, vol. 19(2), pages 703-727, November.
    55. Seo, Myung Hwan, 2007. "Estimation of nonlinear error correction models," LSE Research Online Documents on Economics 6802, London School of Economics and Political Science, LSE Library.
    56. Michael Frömmel & Darko B. Vukovic & Jinyuan Wu, 2022. "The Dollar Exchange Rate, Adjustment to the Purchasing Power Parity, and the Interest Rate Differential," Mathematics, MDPI, vol. 10(23), pages 1-17, November.
    57. Coakley, Jerry & Fuertes, Ana-Maria, 2006. "Valuation ratios and price deviations from fundamentals," Journal of Banking & Finance, Elsevier, vol. 30(8), pages 2325-2346, August.
    58. Angelos Kanas, 2008. "Modeling regime transition in stock index futures markets and forecasting implications," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(8), pages 649-669.
    59. David G. McMillan & Mark E. Wohar, 2010. "Stock return predictability and dividend-price ratio: a nonlinear approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 351-365.
    60. McMillan, David G., 2009. "Revisiting dividend yield dynamics and returns predictability: Evidence from a time-varying ESTR model," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(3), pages 870-883, August.
    61. Markus Eller & Michael Frömmel & Nora Srzentic, 2010. "Private Sector Credit in CESEE: Long-Run Relationships and Short-Run Dynamics," Focus on European Economic Integration, Oesterreichische Nationalbank (Austrian Central Bank), issue 2, pages 50-78.
    62. McMillan, David G., 2013. "Consumption and stock prices: Evidence from a small international panel," Journal of Macroeconomics, Elsevier, vol. 36(C), pages 76-88.
    63. Masudul Hasan Adil & Salman Haider & Neeraj R. Hatekar, 2020. "Empirical Assessment of Money Demand Stability Under India’s Open Economy: Non-linear ARDL Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 18(4), pages 891-909, December.
    64. Amin Sokhanvar & Glenn P. Jenkins, 2021. "An Efficient Long-Run Economic Growth Strategy for Estonia," Development Discussion Papers 2020-23, JDI Executive Programs.
    65. McMillan, David G., 2007. "Bubbles in the dividend-price ratio? Evidence from an asymmetric exponential smooth-transition model," Journal of Banking & Finance, Elsevier, vol. 31(3), pages 787-804, March.
    66. David G. McMillan, 2009. "Are Uk Share Prices Too High? Fundamental Value Or New Era," Bulletin of Economic Research, Wiley Blackwell, vol. 61(1), pages 1-20, January.
    67. Kausik Chaudhuri & Alok Kumar, 2015. "A Markov-Switching Model for Indian Stock Price and Volume," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 14(3), pages 239-257, December.
    68. Qi Zhang & Charlie X Cai & Kevin Keasey, 2009. "Forecasting using high-frequency data: a comparison of asymmetric financial duration models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(5), pages 371-386.
    69. Martins, Luis F. & Gabriel, Vasco J., 2014. "Modelling long run comovements in equity markets: A flexible approach," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 288-295.
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    71. Khalil Mhadhbi & Chokri Terzi, 2022. "Shadow economy threshold effect in the relationship finance–growth in Tunisia: A nonlinear autoregressive distributed lag approach," Journal of International Development, John Wiley & Sons, Ltd., vol. 34(3), pages 636-651, April.
    72. Vicente Esteve & Manuel Navarro-Ibáñez & María A. Prats, 2013. "The present value model of U.S. stock prices revisited: long-run evidence with structural breaks, 1871-2010," Working Papers 13-04, Asociación Española de Economía y Finanzas Internacionales.
    73. Zacharias Psaradakis & Fabio Spagnolo, 2005. "Forecast performance of nonlinear error-correction models with multiple regimes," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 24(2), pages 119-138.
    74. Daiki Maki, 2013. "Detecting cointegration relationships under nonlinear models: Monte Carlo analysis and some applications," Empirical Economics, Springer, vol. 45(1), pages 605-625, August.
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  28. Zacharias Psaradakis & Nicola Spagnolo, 2003. "On The Determination Of The Number Of Regimes In Markov‐Switching Autoregressive Models," Journal of Time Series Analysis, Wiley Blackwell, vol. 24(2), pages 237-252, March.

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    1. Driffill, John & Sola, Martin & Kenc, Turalay & Spagnolo, Fabio, 2004. "On Model Selection and Markov Switching: A Empirical Examination of Term Structure Models with Regime Shifts," CEPR Discussion Papers 4165, C.E.P.R. Discussion Papers.
    2. Mehmet Balcilar & Reneé van Eyden & Josine Uwilingiye & Rangan Gupta, 2014. "The impact of oil price on South African GDP growth: A Bayesian Markov Switching-VAR analysis," Working Papers 201470, University of Pretoria, Department of Economics.
    3. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2015. "Was the recent downturn in US real GDP predictable?," Applied Economics, Taylor & Francis Journals, vol. 47(28), pages 2985-3007, June.
    4. fabio spagnolod & Zacharias Psaradakis & Martin Sola, 2003. "Testing the Unbiased Forward Exchange Rate Hypothesis Using a Markov Switching Model and Instrumental Variables," Economics and Finance Discussion Papers 03-15, Economics and Finance Section, School of Social Sciences, Brunel University.
    5. Mathieu Gatumel & Florian Ielpo, 2011. "The Number of Regimes Across Asset Returns: Identification and Economic Value," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00658540, HAL.
    6. Smith, Aaron & Naik, Prasad A. & Tsai, Chih-Ling, 2006. "Markov-switching model selection using Kullback-Leibler divergence," Journal of Econometrics, Elsevier, vol. 134(2), pages 553-577, October.
    7. Aleksei Netsunajev, 2013. "Reaction to technology shocks in Markov-switching structural VARs: identification via heteroskedasticity," Bank of Estonia Working Papers wp2012-6, Bank of Estonia, revised 03 Jan 2013.
    8. Winkelmann, Lars & Netsunajev, Aleksei, 2015. "International Transmissions of Inflation Expectations in a Markov Switching Structural VAR Model," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112900, Verein für Socialpolitik / German Economic Association.
    9. Chen, Shiu-Sheng, 2012. "Revisiting the empirical linkages between stock returns and trading volume," MPRA Paper 36897, University Library of Munich, Germany.
    10. Dendramis, Yiannis & Kapetanios, George & Tzavalis, Elias, 2014. "Level shifts in stock returns driven by large shocks," Journal of Empirical Finance, Elsevier, vol. 29(C), pages 41-51.
    11. Mehmet Balcilar & Rangan Gupta & Stephen M. Miller, 2014. "Regime Switching Model of US Crude Oil and Stock Market Prices: 1859 to 2013," Working papers 2014-26, University of Connecticut, Department of Economics.
    12. Balcılar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat, 2015. "Regional and global spillovers and diversification opportunities in the GCC equity sectors," Emerging Markets Review, Elsevier, vol. 24(C), pages 160-187.
    13. Balcilar, Mehmet & Demirer, Rıza & Hammoudeh, Shawkat, 2013. "Investor herds and regime-switching: Evidence from Gulf Arab stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 295-321.
    14. Chew Lian Chua & Sandy Suardi, 2007. "Markov‐Switching Mean Reversion in Short‐Term Interest Rates: Evidence from East Asian Economies," The Economic Record, The Economic Society of Australia, vol. 83(263), pages 383-397, December.
    15. Michael Dueker & Martin Sola & Fabio Spagnolo, 2007. "Contemporaneous Threshold Autoregressive Models: Estimation, Testing and Forecasting," Discussion Papers 5_2007, D.E.S. (Department of Economic Studies), University of Naples "Parthenope", Italy.
    16. Balcilar, Mehmet & Kutan, Ali M. & Yaya, Mehmet E., 2017. "Testing the dependency theory on small island economies: The case of Cyprus," Economic Modelling, Elsevier, vol. 61(C), pages 1-11.
    17. Nan Li & Simon S. Kwok, 2021. "Jointly determining the state dimension and lag order for Markov‐switching vector autoregressive models," Journal of Time Series Analysis, Wiley Blackwell, vol. 42(4), pages 471-491, July.
    18. Lacroix, R., 2008. "Assessing the shape of the distribution of interest rates: lessons from French individual data," Working papers 206, Banque de France.
    19. Laure Crusson & Muriel Barlet, 2009. "Quel impact des variations du prix du pétrole sur la croissance française ?," Économie et Prévision, Programme National Persée, vol. 188(2), pages 23-41.
    20. Jaehee Kim & Sooyoung Cheon, 2010. "A Bayesian regime‐switching time‐series model," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(5), pages 365-378, September.
    21. Çiğdem YILMAZ & Nilgün ÇİL, 2018. "Markov Switching Autoregressive Model for WTI Crude Oil Price," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 14(28), pages 45-56, December.
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    26. Lütkepohl, Helmut & Velinov, Anton, 2016. "Structural Vector Autoregressions : Checking Identifying Long-Run Restrictions via Heteroskedasticity," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 30, pages 377-392.
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    28. Dark, Jonathan, 2015. "Futures hedging with Markov switching vector error correction FIEGARCH and FIAPARCH," Journal of Banking & Finance, Elsevier, vol. 61(S2), pages 269-285.
    29. Maddalena Cavicchioli, 2013. "�Determining the Number of Regimes in Markov-Switching VAR and VMA Models�," Working Papers 2013:03, Department of Economics, University of Venice "Ca' Foscari".
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    31. Balcilar, Mehmet & Hammoudeh, Shawkat & Asaba, Nwin-Anefo Fru, 2015. "A regime-dependent assessment of the information transmission dynamics between oil prices, precious metal prices and exchange rates," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 72-89.
    32. Guido Turnip, 2017. "Identification of Small Open Economy SVARs via Markov-Switching Heteroskedasticity," The Economic Record, The Economic Society of Australia, vol. 93(302), pages 465-483, September.
    33. Maddalena Cavicchioli, 2015. "Likelihood Ratio Test and Information Criteria for Markov Switching Var Models: An Application to the Italian Macroeconomy," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 1(3), pages 315-332, November.
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    36. Mehmet Balcilar & Riza Demirer & Shawkat Hammoudeh & Ahmed Khalifa, 2013. "Do Global Shocks Drive Investor Herds in Oil-Rich Frontier Markets?," Working Papers 819, Economic Research Forum, revised Dec 2013.
    37. Mehmet Balcilar & Rangan Gupta & Anandamayee Majumdar & Stephen M. Miller, 2012. "Was the Recent Downturn in US GDP Predictable?," Working papers 2012-38, University of Connecticut, Department of Economics, revised Dec 2013.
    38. Constantino Hevia & Martin Gonzalez‐Rozada & Martin Sola & Fabio Spagnolo, 2015. "Estimating and Forecasting the Yield Curve Using A Markov Switching Dynamic Nelson and Siegel Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(6), pages 987-1009, September.
    39. Yong Song & Tomasz Wo'zniak, 2020. "Markov Switching," Papers 2002.03598, arXiv.org.
    40. M. Bigeco & E. Grosso & E. Otranto, 2008. "Recognizing and Forecasting the Sign of Financial Local Trends using Hidden Markov Models," Working Paper CRENoS 200803, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    41. Fatemeh Salimi, 2020. "Exchange Rates, Stock Prices, and Stock Market Uncertainty," Working Papers halshs-03007904, HAL.
    42. Helmut Lütkepohl, 2012. "Identifying Structural Vector Autoregressions via Changes in Volatility," Discussion Papers of DIW Berlin 1259, DIW Berlin, German Institute for Economic Research.
    43. Bruno Giancarlo & Edoardo Otranto, 2004. "Dating the Italian BUsiness Cycle: A Comparison of Procedures," ISAE Working Papers 41, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    44. Giampiero M. Gallo & Edoardo Otranto, 2012. "Realized Volatility and Change of Regimes," Econometrics Working Papers Archive 2012_02, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Jul 2012.
    45. Ashouri, Mohammad Javad & Rafei, Meysam, 2021. "How do energy productivity and water resources affect air pollution in Iran? New evidence from a Markov Switching perspective," Resources Policy, Elsevier, vol. 71(C).
    46. Helmut Herwartz & Helmut Luetkepohl, 2011. "Structural Vector Autoregressions with Markov Switching: Combining Conventional with Statistical Identification of Shocks," Economics Working Papers ECO2011/11, European University Institute.
    47. Mustafa Caglayan & Ozge Kandemir Kocaaslan & Kostas Mouratidis, 2016. "Regime Dependent Effects of Inflation Uncertainty on Real Growth: A Markov Switching Approach," Scottish Journal of Political Economy, Scottish Economic Society, vol. 63(2), pages 135-155, May.
    48. Chevallier, Julien, 2011. "A model of carbon price interactions with macroeconomic and energy dynamics," Energy Economics, Elsevier, vol. 33(6), pages 1295-1312.
    49. Zacharias Psaradakis & Martin Sola & Fabio Spagnolo, 2004. "On Markov error-correction models, with an application to stock prices and dividends," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(1), pages 69-88.
    50. Libo Xu & Apostolos Serletis, 2022. "The Demand for Assets: Evidence from the Markov Switching Normalized Quadratic Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 54(4), pages 989-1025, June.
    51. Matteo Manera & Alessandro Cologni, 2006. "The Asymmetric Effects of Oil Shocks on Output Growth: A Markov-Switching Analysis for the G-7 Countries," Working Papers 2006.29, Fondazione Eni Enrico Mattei.
    52. Gallo, Giampiero M. & Otranto, Edoardo, 2015. "Forecasting realized volatility with changing average levels," International Journal of Forecasting, Elsevier, vol. 31(3), pages 620-634.
    53. Brigida, Matthew, 2014. "The switching relationship between natural gas and crude oil prices," Energy Economics, Elsevier, vol. 43(C), pages 48-55.
    54. Matthieu Droumaguet & Tomasz Wozniak, 2012. "Bayesian Testing of Granger Causality in Markov-Switching VARs," Economics Working Papers ECO2012/06, European University Institute.
    55. Mustafa Caglayan & Ozge Kandemir & Kostas Mouratidis, 2011. "Real effects of inflation uncertainty in the US," Working Papers 2011002, The University of Sheffield, Department of Economics, revised Feb 2015.
    56. Girardin, Eric & Salimi Namin, Fatemeh, 2019. "The January effect in the foreign exchange market: Evidence for seasonal equity carry trades," Economic Modelling, Elsevier, vol. 81(C), pages 422-439.
    57. Chourdakis, Kyriakos & Dendramis, Yiannis & Tzavalis, Elias, 2014. "Are regime-shift sources of risk priced in the market?," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 151-170.
    58. E. Otranto, 2011. "Classification of Volatility in Presence of Changes in Model Parameters," Working Paper CRENoS 201113, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    59. Shahrestani, Parnia & Rafei, Meysam, 2020. "The impact of oil price shocks on Tehran Stock Exchange returns: Application of the Markov switching vector autoregressive models," Resources Policy, Elsevier, vol. 65(C).
    60. Fatemeh Salimi Namin, 2020. "Exchange Rates, Stock Prices, and Stock Market Uncertainty," AMSE Working Papers 2037, Aix-Marseille School of Economics, France.
    61. Chen, Nan-Kuang & Chen, Shiu-Sheng & Chou, Yu-Hsi, 2013. "Further evidence on bear market predictability: The role of the external finance premium," MPRA Paper 49093, University Library of Munich, Germany.
    62. Vollmer, Teresa & von Cramon-Taubadel, Stephan, 2019. "The influence of Brazilian exports on price transmission processes in the coffee sector: A Markov-switching approach," DARE Discussion Papers 1904, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    63. Aleksei Netšunajev & Lars Winkelmann, 2016. "International dynamics of inflation expectations," SFB 649 Discussion Papers SFB649DP2016-019, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    64. Richard D. F. Harris & Murat Mazibas, 2022. "A component Markov regime‐switching autoregressive conditional range model," Bulletin of Economic Research, Wiley Blackwell, vol. 74(2), pages 650-683, April.
    65. Psaradakis Zacharias & Spagnolo Nicola, 2002. "Power Properties of Nonlinearity Tests for Time Series with Markov Regimes," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 6(3), pages 1-16, November.
    66. L. Scaffidi Domianello & E. Otranto, 2023. "On the relationship between Markov Switching inference and Fuzzy Clustering: A Monte Carlo evidence," Working Paper CRENoS 202304, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    67. Giampiero M. Gallo & Edoardo Otranto, 2012. "Volatility Swings in the US Financial Markets," Econometrics Working Papers Archive 2012_03, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti", revised Jul 2012.
    68. Chau Le & Dickinson David, 2014. "Asset price volatility and financial contagion: analysis using the MS-VAR framework," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 4(2), pages 133-162, December.
    69. Jonathan Dark & Xin Gao & Thijs van der Heijden & Federico Nardari, 2022. "Forecasting variance swap payoffs," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 42(12), pages 2135-2164, December.
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    71. Chevallier, Julien, 2012. "Global imbalances, cross-market linkages, and the financial crisis: A multivariate Markov-switching analysis," Economic Modelling, Elsevier, vol. 29(3), pages 943-973.
    72. Baharumshah, Ahmad Zubaidi & Soon, Siew-Voon & Wohar, Mark E., 2017. "Markov-switching analysis of exchange rate pass-through: Perspective from Asian countries," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 245-257.
    73. Mariangela Bonasia & Oreste Napolitano, 2007. "Do Fundamentals and Credibility Matter in a Funded Pension System ?A Markov Switching Analysis for Australia and Iceland," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 50(2), pages 221-248.
    74. Wasim, Ahmad & Bandi, Kamaiah, 2011. "Identifying regime shifts in Indian stock market: A Markov switching approach," MPRA Paper 37174, University Library of Munich, Germany, revised 08 Mar 2012.
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    76. Narayan, Seema & Doytch, Nadia & Nguyen, Tri Tung & Kluegel, Karl, 2016. "Trade of goods and services and risk sharing ability in international equity markets: Are these substitutes or complements?," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 485-503.
    77. Noel Gaston & Gulasekaran Rajaguru, 2015. "A Markov-switching structural vector autoregressive model of boom and bust in the Australian labour market," Empirical Economics, Springer, vol. 49(4), pages 1271-1299, December.

  29. Fernando Alexandre & John Driffill & Fabio Spagnolo, 2002. "Inflation Targeting, Exchange Rate Volatility and International Policy Coordination," Manchester School, University of Manchester, vol. 70(4), pages 546-569, June.

    Cited by:

    1. Kwack, Sung Y., 2005. "Exchange rate and monetary regime options for regional cooperation in East Asia," Journal of Asian Economics, Elsevier, vol. 16(1), pages 57-75, February.
    2. Chadha, Jagjit S. & Nolan, Charles, 2007. "Optimal simple rules for the conduct of monetary and fiscal policy," Journal of Macroeconomics, Elsevier, vol. 29(4), pages 665-689, December.
    3. Noha Emara, 2012. "The Welfare Effects of Inflation Volatility and Institutions," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 4(1), pages 5-27, January.

  30. Sola, Martin & Spagnolo, Fabio & Spagnolo, Nicola, 2002. "A test for volatility spillovers," Economics Letters, Elsevier, vol. 76(1), pages 77-84, June.
    See citations under working paper version above.
  31. Psaradakis, Zacharias & Sola, Martin & Spagnolo, Fabio, 2001. "A simple procedure for detecting periodically collapsing rational bubbles," Economics Letters, Elsevier, vol. 72(3), pages 317-323, September.

    Cited by:

    1. Peter C.B. Phillips & Shu-Ping Shi & Jun Yu, 2011. "Testing for Multiple Bubbles," Working Papers 09-2011, Singapore Management University, School of Economics.
    2. Paulo M.M. Rodrigues & Rita Fradique Lourenço, 2015. "House prices: bubbles, exuberance or something else? Evidence from euro area countries," Working Papers w201517, Banco de Portugal, Economics and Research Department.
    3. Song, Yong & Shi, Shuping, 2012. "Identifying speculative bubbles with an in finite hidden Markov model," MPRA Paper 36455, University Library of Munich, Germany.
    4. Peter C. B. Phillips & Shuping Shi & Jun Yu, 2015. "Testing For Multiple Bubbles: Historical Episodes Of Exuberance And Collapse In The S&P 500," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1043-1078, November.
    5. Chen, Shyh-Wei & Hsu, Chi-Sheng & Xie, Zixong, 2016. "Are there periodically collapsing bubbles in the stock markets? New international evidence," Economic Modelling, Elsevier, vol. 52(PB), pages 442-451.
    6. Brendan McCabe & Stephen Leybourne & David Harris, 2003. "Testing for Stochastic Cointegration and Evidence for Present Value Models," Econometrics 0311009, University Library of Munich, Germany.
    7. Chen, Shyh-Wei & Xie, Zixiong, 2017. "Asymmetric adjustment and smooth breaks in dividend yields: Evidence from international stock markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 339-354.
    8. Yoon, Gawon, 2012. "Some properties of periodically collapsing bubbles," Economic Modelling, Elsevier, vol. 29(2), pages 299-302.
    9. Zhao, Yanping & Chang, Hsu-Ling & Su, Chi-Wei & Nian, Rui, 2015. "Gold bubbles: When are they most likely to occur?," Japan and the World Economy, Elsevier, vol. 34, pages 17-23.
    10. Shyh-Wei Chen & Chi-Sheng Hsu & Cyun-Jhen Pen, 2016. "Are Inflation Rates Mean-reverting Processes? Evidence from Six Asian Countries," Journal of Economics and Management, College of Business, Feng Chia University, Taiwan, vol. 12(1), pages 119-155, February.
    11. Ahmed, Mumtaz & Bashir, Uzma & Ullah, Irfan, 2021. "Testing for explosivity in US-Pak Exchange Rate via Sequential ADF Procedures," MPRA Paper 109607, University Library of Munich, Germany.
    12. Cajueiro, Daniel O. & Tabak, Benjamin M., 2006. "Testing for rational bubbles in banking indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 366(C), pages 365-376.

  32. Ron Smith & Martin Sola & Fabio Spagnolo, 2000. "The Prisoner's Dilemma and Regime-Switching in the Greek-Turkish Arms Race," Journal of Peace Research, Peace Research Institute Oslo, vol. 37(6), pages 737-750, November.

    Cited by:

    1. Christos Kollias & Suzanna-Maria Paleologou, 2003. "Domestic political and external security determinants of the demand for greek military expenditure," Defence and Peace Economics, Taylor & Francis Journals, vol. 14(6), pages 437-445.
    2. Oliver Pamp & Florian Dendorfer & Paul W. Thurner, 2018. "Arm your friends and save on defense? The impact of arms exports on military expenditures," Public Choice, Springer, vol. 177(1), pages 165-187, October.
    3. J Paul Dunne & Samuel Perlo-Freeman & Ron P Smith, 2007. "The Demand for Military Expenditure in Developing Countries: Hostility versus Capability," Working Papers 0707, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    4. Walter Gutjahr, 2006. "Interaction dynamics of two reinforcement learners," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(1), pages 59-86, February.
    5. Aram Balagyozyan & Esin Cakan, 2016. "Did large institutional investors flock into the technology herd? An empirical investigation using a vector Markov-switching model," Applied Economics, Taylor & Francis Journals, vol. 48(58), pages 5731-5747, December.
    6. Andrea Beccarini, 2017. "Verifying time inconsistency of the ECB monetary policy by means of a regime-switching approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 44(2), pages 203-227, May.
    7. Andreas S. Andreou & George A. Zombanakis, 2011. "Financial Versus Human Resources In The Greek--Turkish Arms Race 10 Years On: A Forecasting Investigation Using Artificial Neural Networks," Defence and Peace Economics, Taylor & Francis Journals, vol. 22(4), pages 459-469, November.
    8. Chappell, Daniel, 2018. "Regime heteroskedasticity in Bitcoin: A comparison of Markov switching models," MPRA Paper 90682, University Library of Munich, Germany.
    9. J Paul Dunne & Sam Perlo-Freeman & Ron P Smith, 2009. "Determining Military Expenditures: Arms Races and Spill-Over Effects in Cross-Section and Panel Data," Working Papers 0901, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    10. Nadir Ocal, 2002. "Asymmetric effects of military expenditure between Turkey and Greece," Defence and Peace Economics, Taylor & Francis Journals, vol. 13(5), pages 405-416.
    11. Bove Vincenzo & Gleditsch Kristian Skrede, 2011. "2010 Lewis Fry Richardson Lifetime Achievement Award: Ron P. Smith and the Economics of War and Peace," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 17(1), pages 1-12, December.
    12. Andreou, Andreas S. & Zombanakis, George A., 2010. "Financial vs human resources in the Greek-Turkish arms race 10 years on," MPRA Paper 38505, University Library of Munich, Germany.
    13. Elveren, Adem Yavuz & Özgür, Gökçer, 2018. "The Effect of Military Expenditures on the Profit Rates in Turkey," MPRA Paper 88848, University Library of Munich, Germany.
    14. Hasan Sahin & Onur Ozsoy, 2008. "Arms Race Between Greece And Turkey: A Markov Switching Approach," Defence and Peace Economics, Taylor & Francis Journals, vol. 19(3), pages 209-216.
    15. Asiye TÜTÜNCÜ & Burak ŞAHİNGÖZ, 2020. "Arms Race Between Turkey and Greece: Time-Varying Causality Analysis Abstract: An arms race is the dynamic process followed by states in the acquisition of weapons. An arms race requires mutual milita," Sosyoekonomi Journal, Sosyoekonomi Society, issue 28(45).

Chapters

  1. Faek Menla Ali & Fabio Spagnolo & Nicola Spagnolo, 2014. "Exchange Rates and Net Portfolio Flows: A Markov-Switching Approach," International Series in Operations Research & Management Science, in: Rogemar S. Mamon & Robert J. Elliott (ed.), Hidden Markov Models in Finance, edition 127, chapter 0, pages 117-132, Springer.

    Cited by:

    1. Guglielmo Maria Caporale & Faek Menla Ali & Fabio Spagnolo & Nicola Spagnolo, 2015. "International Portfolio Flows and Exchange Rate Volatility for Emerging Markets," Discussion Papers of DIW Berlin 1519, DIW Berlin, German Institute for Economic Research.
    2. Faek Menla Ali & Fabio Spagnolo & Nicola Spagnolo, 2017. "Portfolio flows and the US dollar–yen exchange rate," Empirical Economics, Springer, vol. 52(1), pages 179-189, February.

  2. Emilio Russo & Fabio Spagnolo & Rogemar Mamon, 2007. "An empirical investigation of the unbiased forward exchange rate hypothesis in a regime switching market," International Series in Operations Research & Management Science, in: Rogemar S. Mamon & Robert J. Elliott (ed.), Hidden Markov Models in Finance, chapter 9, pages 133-153, Springer.

    Cited by:

    1. Vacu, Nomfundo P. & Odhiambo, Nicholas M., 2018. "The determinants of import demand in South Africa: An empirical investigation," Working Papers 24069, University of South Africa, Department of Economics.

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