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David Edmund Allen

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.

Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2015. "Nonlinear Time Series and Neural-Network Models of Exchange Rates between the US Dollar and Major Currencies," Tinbergen Institute Discussion Papers 15-125/III, Tinbergen Institute.

    Mentioned in:

    1. End-of-Year Reading
      by Dave Giles in Econometrics Beat: Dave Giles' Blog on 2015-12-23 01:57:00

Working papers

  1. Allen, David, 2021. "Cryptocurrencies, Diversification and the COVID-19 Pandemic," MPRA Paper 111735, University Library of Munich, Germany.

    Cited by:

    1. Marcin Wątorek & Jarosław Kwapień & Stanisław Drożdż, 2022. "Multifractal Cross-Correlations of Bitcoin and Ether Trading Characteristics in the Post-COVID-19 Time," Future Internet, MDPI, vol. 14(7), pages 1-15, July.
    2. Ştefan Cristian Gherghina & Liliana Nicoleta Simionescu, 2023. "Exploring the asymmetric effect of COVID-19 pandemic news on the cryptocurrency market: evidence from nonlinear autoregressive distributed lag approach and frequency domain causality," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-58, December.
    3. Ivan Mužić & Ivan Gržeta, 2022. "Expectations of Macroeconomic News Announcements: Bitcoin vs. Traditional Assets," Risks, MDPI, vol. 10(6), pages 1-15, June.
    4. Xu, Lei & Kinkyo, Takuji, 2023. "Hedging effectiveness of bitcoin and gold: Evidence from G7 stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 85(C).
    5. Marcin Wk{a}torek & Jaros{l}aw Kwapie'n & Stanis{l}aw Dro.zd.z, 2022. "Multifractal cross-correlations of bitcoin and ether trading characteristics in the post-COVID-19 time," Papers 2208.01445, arXiv.org.
    6. Hrishikesh Vinod, 2023. "Causality Estimation in Panel Data," Fordham Economics Discussion Paper Series dp2023-09er:dp2023-09, Fordham University, Department of Economics.

  2. Allen, D.E. & McAleer, M.J. & McHardy Reid, D., 2018. "Fake News and Indifference to Truth," Econometric Institute Research Papers EI2018-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    2. David E. Allen & Michael McAleer, 2018. "President Trump Tweets Supreme Leader Kim Jong-Un on Nuclear Weapons: A Comparison with Climate Change †," Sustainability, MDPI, vol. 10(7), pages 1-6, July.
    3. David E. Allen & Michael McAleer, 2022. "Trump’s COVID-19 tweets and Dr. Fauci’s emails," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1643-1655, March.
    4. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.

  3. Xiaojuan Yu & Vincent van den Berg & Erik Verhoef, 2018. "Carpooling with heterogeneous users in the bottleneck model," Tinbergen Institute Discussion Papers 18-054/VIII, Tinbergen Institute.

    Cited by:

    1. Konagane, Joji & Kono, Tatsuhito, 2021. "Heterogeneous Households’ Choices of Departure Time and Residential Location in a Multiple-origin Single-destination Rail System: Market Equilibrium and the First-best Solution," MPRA Paper 108507, University Library of Munich, Germany.
    2. R. Lamotte & A. de Palma & N. Geroliminis, 2020. "Impacts of Metering-Based Dynamic Priority Schemes," THEMA Working Papers 2020-14, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    3. Xiao, Ling-Ling & Liu, Tian-Liang & Huang, Hai-Jun & Liu, Ronghui, 2021. "Temporal-spatial allocation of bottleneck capacity for managing morning commute with carpool," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 177-200.
    4. Li, Zhi-Chun & Huang, Hai-Jun & Yang, Hai, 2020. "Fifty years of the bottleneck model: A bibliometric review and future research directions," Transportation Research Part B: Methodological, Elsevier, vol. 139(C), pages 311-342.
    5. Sun, Jian & Wu, Jiyan & Xiao, Feng & Tian, Ye & Xu, Xiangdong, 2020. "Managing bottleneck congestion with incentives," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 143-166.
    6. André de Palma & Lucas Javaudin & Patrick Stokkink & Léandre Tarpin-Pitre, 2022. "Ride-sharing with Inflexible Drivers in the Paris Metropolitan Area," THEMA Working Papers 2022-03, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    7. Senlai Zhu & Hantao Yu & Congjun Fan, 2024. "Travel Plan Sharing and Regulation for Managing Traffic Bottleneck Based on Blockchain Technology," Sustainability, MDPI, vol. 16(4), pages 1-20, February.
    8. Collins, Mor & Etzioni, Shelly & Ben-Elia, Eran, 2024. "Travel behavior and system dynamics in a simple gamified automated multimodal network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    9. Hu, Shichun & Dessouky, Maged M. & Uhan, Nelson A. & Vayanos, Phebe, 2021. "Cost-sharing mechanism design for ride-sharing," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 410-434.
    10. André de Palma & Lucas Javaudin & Patrick Stokkink & Léandre Tarpin-Pitre, 2021. "Modelling Ridesharing in a Large Network with Dynamic Congestion," THEMA Working Papers 2021-16, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    11. Wu, Jiyan & Tian, Ye & Sun, Jian, 2023. "Managing ridesharing with incentives in a bottleneck model," Research in Transportation Economics, Elsevier, vol. 101(C).
    12. Zhen Wang & Haiyun Chen & Ting Zhu & Jiazhen Huo, 2024. "Is It Necessarily Better for More Commuters to Share a Vehicle?," Sustainability, MDPI, vol. 16(16), pages 1-23, August.
    13. de Palma, André & Stokkink, Patrick & Geroliminis, Nikolas, 2022. "Influence of dynamic congestion with scheduling preferences on carpooling matching with heterogeneous users," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 479-498.
    14. Huang, Zhihui & Long, Jiancheng & Szeto, W.Y. & Liu, Haoxiang, 2021. "Modeling and managing the morning commute problem with park-and-ride-sharing," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 190-226.

  4. Manabu Asai & Shelton Peiris & Michael McAleer & David E. Allen, 2018. "Cointegrated Dynamics for A Generalized Long Memory Process: An Application to Interest Rates," Documentos de Trabajo del ICAE 2018-22, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

    Cited by:

    1. Paul M. Beaumont & Aaron D. Smallwood, 2024. "Conditional sum of squares estimation of k-factor GARMA models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 108(3), pages 501-543, September.

  5. Asai, M. & Peiris, S. & McAleer, M.J. & Allen, D.E., 2018. "Cointegrated Dynamics for A Generalized Long Memory Process," Econometric Institute Research Papers EI 2018-32, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Beaumont, Paul & Smallwood, Aaron, 2019. "Conditional Sum of Squares Estimation of Multiple Frequency Long Memory Models," MPRA Paper 96314, University Library of Munich, Germany.

  6. Allen, D.E. & McAleer, M.J., 2018. ""Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond": Comment," Econometric Institute Research Papers EI 2018-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Wang, Christina Dan & Chen, Zhao & Lian, Yimin & Chen, Min, 2022. "Asset selection based on high frequency Sharpe ratio," Journal of Econometrics, Elsevier, vol. 227(1), pages 168-188.

  7. David E. Allen & Michael McAleer & David M. Reid, 2018. "Fake News and Indifference to Truth: Dissecting Tweets and State of the Union Addresses by Presidents Obama and Trump," Tinbergen Institute Discussion Papers 18-020/III, Tinbergen Institute.

    Cited by:

    1. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    2. David E. Allen & Michael McAleer, 2018. "President Trump Tweets Supreme Leader Kim Jong-Un on Nuclear Weapons: A Comparison with Climate Change †," Sustainability, MDPI, vol. 10(7), pages 1-6, July.
    3. David E. Allen & Michael McAleer, 2022. "Trump’s COVID-19 tweets and Dr. Fauci’s emails," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1643-1655, March.
    4. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.

  8. David E. Allen & Michael McAleer & David McHardy Reid, 2018. "Fake News and Indifference to Scientific Fact: President Trump's Confused Tweets on Global Warming, Climate Change and Weather," Documentos de Trabajo del ICAE 2018-17, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

    Cited by:

    1. David E. Allen & Michael McAleer & David McHardy Reid, 2018. "Fake news and indifference to truth: Dissecting tweets and State of the Union Addresses by Presidents Obama and Trump," Documentos de Trabajo del ICAE 2018-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    3. David E. Allen & Michael McAleer, 2018. "President Trump Tweets Supreme Leader Kim Jong-Un on Nuclear Weapons: A Comparison with Climate Change †," Sustainability, MDPI, vol. 10(7), pages 1-6, July.
    4. Álvaro-Francisco Morote & María Hernández, 2022. "What Do School Children Know about Climate Change? A Social Sciences Approach," Social Sciences, MDPI, vol. 11(4), pages 1-17, April.
    5. Chia-Lin Chang & Michael McAleer, 2019. "Modeling Latent Carbon Emission Prices for Japan: Theory and Practice," Energies, MDPI, vol. 12(21), pages 1-21, November.
    6. David E. Allen & Michael McAleer, 2022. "Trump’s COVID-19 tweets and Dr. Fauci’s emails," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1643-1655, March.

  9. David Allen & Michael McAleer, 2017. "Theoretical and Empirical Differences Between Diagonal and Full Bekk for Risk Management," Tinbergen Institute Discussion Papers 17-069/III, Tinbergen Institute.

    Cited by:

    1. Nathan Lael Joseph & Thi Thuy Anh Vo & Asma Mobarek & Sabur Mollah, 2020. "Volatility and asymmetric dependence in Central and East European stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 55(4), pages 1241-1303, November.
    2. Katsiampa, Paraskevi, 2019. "Volatility co-movement between Bitcoin and Ether," Finance Research Letters, Elsevier, vol. 30(C), pages 221-227.
    3. Aganin, Artem & Peresetsky, Anatoly, 2018. "Volatility of ruble exchange rate: Oil and sanctions," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 52, pages 5-21.
    4. Katsiampa, Paraskevi, 2019. "An empirical investigation of volatility dynamics in the cryptocurrency market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 322-335.
    5. Katsiampa, Paraskevi & Yarovaya, Larisa & Zięba, Damian, 2022. "High-frequency connectedness between Bitcoin and other top-traded crypto assets during the COVID-19 crisis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    6. Zolfaghari, Mehdi & Ghoddusi, Hamed & Faghihian, Fatemeh, 2020. "Volatility spillovers for energy prices: A diagonal BEKK approach," Energy Economics, Elsevier, vol. 92(C).
    7. Jose, Nithin & Jose, Babu & Varghese, James, 2022. "Is cross-hedging an effective strategy in equity futures market?," Finance Research Letters, Elsevier, vol. 50(C).

  10. Allen, D.E. & Chang, C-L. & McAleer, M.J. & Singh, A.K., 2016. "A Cointegration Analysis of Agricultural, Energy and Bio-Fuel Spot and Futures Prices," Econometric Institute Research Papers EI2016-24, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. József Popp & Judit Oláh & Mária Farkas Fekete & Zoltán Lakner & Domicián Máté, 2018. "The Relationship Between Prices of Various Metals, Oil and Scarcity," Energies, MDPI, vol. 11(9), pages 1-19, September.
    2. Tsuji, Chikashi, 2018. "New DCC analyses of return transmission, volatility spillovers, and optimal hedging among oil futures and oil equities in oil-producing countries," Applied Energy, Elsevier, vol. 229(C), pages 1202-1217.
    3. 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.
    4. Tan Ngoc Vu & Duc Hong Vo & Chi Minh Ho & Loan Thi-Hong Van, 2019. "Modeling the Impact of Agricultural Shocks on Oil Price in the US: A New Approach," JRFM, MDPI, vol. 12(3), pages 1-27, September.
    5. 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).
    6. Curtis McKnight & Feng Qiu & Marty Luckert & Grant Hauer, 2021. "Prices for a second‐generation biofuel industry in Canada: Market linkages between Canadian wheat and US energy and agricultural commodities," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 69(3), pages 337-351, September.
    7. Palazzi, Rafael Baptista & Meira, Erick & Klotzle, Marcelo Cabus, 2022. "The sugar-ethanol-oil nexus in Brazil: Exploring the pass-through of international commodity prices to national fuel prices," Journal of Commodity Markets, Elsevier, vol. 28(C).
    8. Wei, Yanfeng & Qiu, Feng & An, Henry & Zhang, Xindon & Li, Changhong & Guo, Xiaoying, 2024. "Exogenous oil supply shocks and global agricultural commodity prices: The role of biofuels," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 394-414.
    9. 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.
    10. Vatsa, Puneet, 2022. "Do crop prices share common trends and common cycles?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(02), January.
    11. Donald Lien & Ziling Wang & Xiaojian Yu, 2021. "Optimal quantile hedging under Markov regime switching," Empirical Economics, Springer, vol. 60(5), pages 2177-2201, May.
    12. Zhuo Chen & Bo Yan & Hanwen Kang & Liyu Liu, 2023. "Asymmetric price adjustment and price discovery in spot and futures markets of agricultural commodities," Review of Economic Design, Springer;Society for Economic Design, vol. 27(1), pages 139-162, February.
    13. Qingjie Zhou & Panpan Zhu & You Wu & Yinpeng Zhang, 2022. "Research on the Volatility of the Cotton Market under Different Term Structures: Perspective from Investor Attention," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    14. Martinho, V.J.P.D., 2020. "Relationships between agricultural energy and farming indicators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).

  11. Allen, D.E. & McAleer, M.J. & Powell, R.J. & Singh, A.K., 2016. "Volatility Spillover and Multivariate Volatility Impulse Response Analysis of GFC News Events," Econometric Institute Research Papers EI2016-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Syed Kumail Abbas Rizvi & Bushra Naqvi & Nawazish Mirza, 2022. "Is green investment different from grey? Return and volatility spillovers between green and grey energy ETFs," Annals of Operations Research, Springer, vol. 313(1), pages 495-524, June.
    2. Choi, Sun-Yong, 2022. "Volatility spillovers among Northeast Asia and the US: Evidence from the global financial crisis and the COVID-19 pandemic," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 179-193.
    3. Ghazani, Majid Mirzaee & Khosravi, Reza & Caporin, Massimiliano, 2023. "Analyzing interconnection among selected commodities in the 2008 global financial crisis and the COVID-19 pandemic," Resources Policy, Elsevier, vol. 80(C).
    4. Apostolakis, George N. & Floros, Christos & Gkillas, Konstantinos & Wohar, Mark, 2024. "Volatility spillovers across the spot and futures oil markets after news announcements," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    5. Vincenzo Candila & Salvatore Farace, 2018. "On the Volatility Spillover between Agricultural Commodities and Latin American Stock Markets," Risks, MDPI, vol. 6(4), pages 1-16, October.
    6. Shi, Yujie & Wang, Liming & Ke, Jian, 2021. "Does the US-China trade war affect co-movements between US and Chinese stock markets?," Research in International Business and Finance, Elsevier, vol. 58(C).
    7. BenSaïda, Ahmed, 2019. "Good and bad volatility spillovers: An asymmetric connectedness," Journal of Financial Markets, Elsevier, vol. 43(C), pages 78-95.
    8. Apostolakis, George N. & Floros, Christos & Gkillas, Konstantinos & Wohar, Mark, 2021. "Political uncertainty, COVID-19 pandemic and stock market volatility transmission," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    9. Apostolakis, George N., 2024. "Bitcoin price volatility transmission between spot and futures markets," International Review of Financial Analysis, Elsevier, vol. 94(C).
    10. Zainudin, Ahmad Danial & Mohamad, Azhar, 2021. "Financial contagion in the futures markets amidst global geo-economic events," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 288-308.

  12. Allen, D.E. & McAleer, M.J. & Singh, A.K., 2016. "An entropy based analysis of the relationship between the DOW JONES Index and the TRNA Sentiment series," Econometric Institute Research Papers EI2016-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. David E. Allen & Michael McAleer & David McHardy Reid, 2018. "Fake news and indifference to truth: Dissecting tweets and State of the Union Addresses by Presidents Obama and Trump," Documentos de Trabajo del ICAE 2018-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Tom Marty & Bruce Vanstone & Tobias Hahn, 2020. "News media analytics in finance: a survey," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(2), pages 1385-1434, June.
    3. Yang, Shanxiang & Liu, Zhechen & Wang, Xinjie, 2020. "News sentiment, credit spreads, and information asymmetry," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    4. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    5. Massimiliano Caporin & Francesco Poli, 2017. "Building News Measures from Textual Data and an Application to Volatility Forecasting," Econometrics, MDPI, vol. 5(3), pages 1-46, August.
    6. Allen, D.E. & McAleer, M.J. & McHardy Reid, D., 2018. "Fake News and Indifference to Truth," Econometric Institute Research Papers EI2018-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. David E. Allen & Michael McAleer & Abhay K. Singh, 2014. "Machine news and volatility: The Dow Jones Industrial Average and the TRNA sentiment series," Working Papers in Economics 14/04, University of Canterbury, Department of Economics and Finance.
    8. Zhang, Heng-Guo & CAO, Tingting & Li, Houxuan & Xu, Tiantian, 2021. "Dynamic measurement of news-driven information friction in China's carbon market: Theory and evidence," Energy Economics, Elsevier, vol. 95(C).
    9. David E. Allen & Michael McAleer, 2022. "Trump’s COVID-19 tweets and Dr. Fauci’s emails," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1643-1655, March.
    10. Chinmoy Ghosh & Cristian Pinto‐Gutiérrez & Jaideep Shenoy, 2024. "Does negative news disclosure induce better decision‐making? Evidence from acquisitions," The Financial Review, Eastern Finance Association, vol. 59(2), pages 325-372, May.

  13. Allen, D.E. & McAleer, M.J. & Powell, R.J. & Singh, A.K., 2015. "Multivariate Volatility Impulse Response Analysis of GFC News Events," Econometric Institute Research Papers EI2015-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Baldi, Lucia & Peri, Massimo & Vandone, Daniela, 2016. "Stock markets’ bubbles burst and volatility spillovers in agricultural commodity markets," Research in International Business and Finance, Elsevier, vol. 38(C), pages 277-285.

  14. Allen, D.E. & McAleer, M.J. & Peiris, S. & Singh, A.K., 2015. "Nonlinear time series and neural-network models of exchange rates between the US dollar and major currencies," Econometric Institute Research Papers EI2015-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Fatbardha Morina & Eglantina Hysa & Uğur Ergün & Mirela Panait & Marian Catalin Voica, 2020. "The Effect of Exchange Rate Volatility on Economic Growth: Case of the CEE Countries," JRFM, MDPI, vol. 13(8), pages 1-13, August.
    2. Nicola Rubino, 2021. "In- and Out-of-Sample Performance of Nonlinear Models in International Price Differential Forecasting in a Commodity Country Framework," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 9(2), pages 107-127.
    3. Vincenzo Candila & Lucio Palazzo, 2020. "Neural Networks and Betting Strategies for Tennis," Risks, MDPI, vol. 8(3), pages 1-19, June.
    4. Marinakis, Yorgos D. & White, Reilly & Walsh, Steven T., 2020. "Lotka–Volterra signals in ASEAN currency exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    5. Angelos Kanas & Angelos Kotios & Panagiotis D. Zervopoulos, 2019. "Semi-parametric real exchange rates dynamics," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 643-656, February.

  15. Allen, D.E. & McAleer, M.J. & Singh, A.K., 2015. "Daily Market News Sentiment and Stock Prices," Econometric Institute Research Papers EI2015-23, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Suchismita Mishra & Le Zhao, 2021. "Order Routing Decisions for a Fragmented Market: A Review," JRFM, MDPI, vol. 14(11), pages 1-32, November.
    2. Cai, Yi & Tang, Zhenpeng & Chen, Ying, 2024. "Can real-time investor sentiment help predict the high-frequency stock returns? Evidence from a mixed-frequency-rolling decomposition forecasting method," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    3. Fabian Billert & Stefan Conrad, 2024. "A Framework for the Construction of a Sentiment-Driven Performance Index: The Case of DAX40," Papers 2409.20397, arXiv.org.
    4. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    5. Shahid Raza & Sun Baiqing & Pwint Kay-Khine & Muhammad Ali Kemal, 2023. "Uncovering the Effect of News Signals on Daily Stock Market Performance: An Econometric Analysis," IJFS, MDPI, vol. 11(3), pages 1-25, August.
    6. David E. Allen & Michael McAleer & Abhay K. Singh, 2016. "An entropy based analysis of the relationship between the DOW JONES Index and the TRNA Sentiment series," Documentos de Trabajo del ICAE 2017-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    7. Seok, Sangik & Cho, Hoon & Ryu, Doojin, 2024. "Dual effects of investor sentiment and uncertainty in financial markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 95(C), pages 300-315.
    8. Yao, Can-Zhong & Li, Hong-Yu, 2020. "Time-varying lead–lag structure between investor sentiment and stock market," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    9. Anca Ioana, Iacob (Troto), 2021. "Investor Sentiment - Theoretical Aspects And Practical Conclusions, In The Context Of The Pandemic Crisis," Management Strategies Journal, Constantin Brancoveanu University, vol. 51(1), pages 122-128.
    10. David E. Allen & Michael McAleer & Abhay K. Singh, 2014. "Machine news and volatility: The Dow Jones Industrial Average and the TRNA sentiment series," Working Papers in Economics 14/04, University of Canterbury, Department of Economics and Finance.
    11. Krystian M. Zawadzki & Marcin Potrykus, 2023. "Stock Markets’ Reactions to the Announcement of the Hosts. An Event Study in the Analysis of Large Sporting Events in the Years 1976–2032," Journal of Sports Economics, , vol. 24(6), pages 759-800, August.
    12. Durand, Robert B. & Khuu, Joyce & Smales, Lee A., 2023. "Lost in translation. When sentiment metrics for one market are derived from two different languages," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    13. Xiaohong Shen & Gaoshan Wang & Yue Wang & Alfred Peris, 2021. "The Influence of Research Reports on Stock Returns: The Mediating Effect of Machine-Learning-Based Investor Sentiment," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-14, December.
    14. Kao, Yu-Sheng & Day, Min-Yuh & Chou, Ke-Hsin, 2024. "A comparison of bitcoin futures return and return volatility based on news sentiment contemporaneously or lead-lag," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    15. Na, Haejung & Kim, Soonho, 2021. "Predicting stock prices based on informed traders’ activities using deep neural networks," Economics Letters, Elsevier, vol. 204(C).
    16. Chou, Ke-Hsin & Day, Min-Yuh & Chiu, Chien-Liang, 2023. "Do bitcoin news information flow and return volatility fit the sequential information arrival hypothesis and the mixture of distribution hypothesis?," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 365-385.
    17. Seok, Sang Ik & Cho, Hoon & Ryu, Doojin, 2021. "Stock Market’s responses to intraday investor sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    18. Steven Buigut and Burcu Kapar, 2022. "Do COVID-19 Incidence and Government Intervention Influence Media Indices?," Bulletin of Applied Economics, Risk Market Journals, vol. 9(2), pages 79-100.
    19. Tang, Zhenpeng & Lin, Qiaofeng & Cai, Yi & Chen, Kaijie & Liu, Dinggao, 2024. "Harnessing the power of real-time forum opinion: Unveiling its impact on stock market dynamics using intraday high-frequency data in China," International Review of Financial Analysis, Elsevier, vol. 93(C).
    20. Seok, Sangik & Cho, Hoon & Ryu, Doojin, 2022. "Scheduled macroeconomic news announcements and intraday market sentiment," The North American Journal of Economics and Finance, Elsevier, vol. 62(C).
    21. Zihan Dong & Xinyu Fan & Zhiyuan Peng, 2024. "FNSPID: A Comprehensive Financial News Dataset in Time Series," Papers 2402.06698, arXiv.org.
    22. Tian Guo & Emmanuel Hauptmann, 2024. "Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow," Papers 2407.18103, arXiv.org, revised Aug 2024.
    23. Wang, Gaoshan & Yu, Guangjin & Shen, Xiaohong, 2021. "The effect of online environmental news on green industry stocks: The mediating role of investor sentiment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).

  16. David E. Allen & Michael McAleer & Abhay K. Singh, 2014. "Machine news and volatility: The Dow Jones Industrial Average and the TRNA sentiment series," Working Papers in Economics 14/04, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. David E. Allen & Michael McAleer & David McHardy Reid, 2018. "Fake news and indifference to truth: Dissecting tweets and State of the Union Addresses by Presidents Obama and Trump," Documentos de Trabajo del ICAE 2018-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    3. Massimiliano Caporin & Francesco Poli, 2017. "Building News Measures from Textual Data and an Application to Volatility Forecasting," Econometrics, MDPI, vol. 5(3), pages 1-46, August.
    4. David E. Allen & Michael McAleer & Abhay K. Singh, 2016. "An entropy based analysis of the relationship between the DOW JONES Index and the TRNA Sentiment series," Documentos de Trabajo del ICAE 2017-01, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    5. Allen, D.E. & McAleer, M.J. & McHardy Reid, D., 2018. "Fake News and Indifference to Truth," Econometric Institute Research Papers EI2018-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Wei, Yu-Chen & Lu, Yang-Cheng & Chen, Jen-Nan & Hsu, Yen-Ju, 2017. "Informativeness of the market news sentiment in the Taiwan stock market," The North American Journal of Economics and Finance, Elsevier, vol. 39(C), pages 158-181.

  17. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2014. "Volatility Spillovers from Australia's major trading partners across the GFC," Working Papers in Economics 14/23, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Balli, Faruk & Billah, Mabruk & Balli, Hatice Ozer & De Bruin, Anne, 2022. "Spillovers between Sukuks and Shariah-compliant equity markets," Pacific-Basin Finance Journal, Elsevier, vol. 72(C).
    2. Balli, Faruk & de Bruin, Anne & Chowdhury, Md Iftekhar Hasan, 2019. "Spillovers and the determinants in Islamic equity markets," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    3. Cheng, Tingting & Xing, Shuo & Yao, Wenying, 2022. "An examination of herding behaviour of the Chinese mutual funds: A time-varying perspective," Pacific-Basin Finance Journal, Elsevier, vol. 74(C).
    4. David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2014. "Hedge Fund Portfolio Diversification Strategies Across the GFC," Working Papers in Economics 14/27, University of Canterbury, Department of Economics and Finance.
    5. Hou, Yang (Greg) & Li, Steven, 2020. "Volatility and skewness spillover between stock index and stock index futures markets during a crash period: New evidence from China," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 166-188.
    6. Newaz, Mohammad Khaleq & Park, Jin Suk, 2019. "The impact of trade intensity and Market characteristics on asymmetric volatility, spillovers and asymmetric spillovers: Evidence from the response of international stock markets to US shocks," The Quarterly Review of Economics and Finance, Elsevier, vol. 71(C), pages 79-94.
    7. Sanjay Sehgal & Sakshi Saini & Florent Deisting, 2019. "Examining Dynamic Interdependencies Among Major Global Financial Markets," Multinational Finance Journal, Multinational Finance Journal, vol. 23(1-2), pages 103-139, March - J.
    8. Emawtee Bissoondoyal-Bheenick & Robert Brooks & Wei Chi & Hung Xuan Do, 2018. "Volatility spillover between the US, Chinese and Australian stock markets," Australian Journal of Management, Australian School of Business, vol. 43(2), pages 263-285, May.

  18. David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2014. "Hedge Fund Portfolio Diversification Strategies Across the GFC," Working Papers in Economics 14/27, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Víctor Adame-García & Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero, 2017. "“Resolution of optimization problems and construction of efficient portfolios: An application to the Euro Stoxx 50 index"," IREA Working Papers 201702, University of Barcelona, Research Institute of Applied Economics, revised Feb 2017.

  19. David E. Allen & Michael McAleer & Abhay K. Singh, 2014. "Risk Measurement and Risk Modelling Using Applications of Vine Copulas," Working Papers in Economics 14/12, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Gideon Boako & Aviral Kumar Tiwari & David Roubaud, 2019. "Vine copula-based dependence and portfolio value-at-risk analysis of the cryptocurrency market," International Economics, CEPII research center, issue 158, pages 77-90.
    2. Huang, Wanling & Mollick, André Varella & Nguyen, Khoa Huu, 2016. "U.S. stock markets and the role of real interest rates," The Quarterly Review of Economics and Finance, Elsevier, vol. 59(C), pages 231-242.
    3. Cyprian Omari & Peter Mwita & Anthony Waititu, 2019. "Conditional Dependence Modelling with Regular Vine Copulas," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 8(1), pages 1-5.
    4. Semih Emre Cekin & Ashis Kumar Pradhan & Aviral Kumar Tiwari & Rangan Gupta, 2018. "Measuring Co-Dependencies of Economic Policy Uncertainty in Latin American Countries using Vine Copulas," Working Papers 201867, University of Pretoria, Department of Economics.
    5. Jianxu Liu & Quanrui Song & Yang Qi & Sanzidur Rahman & Songsak Sriboonchitta, 2020. "Measurement of Systemic Risk in Global Financial Markets and Its Application in Forecasting Trading Decisions," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    6. Satish Kumar & Aviral K. Tiwari & Ibrahim D. Raheem & Qiang Ji, 2019. "Dependence risk analysis in energy, agricultural and precious metals commodities: A pair vine copula approach," Working Papers of the African Governance and Development Institute. 19/092, African Governance and Development Institute..
    7. Seok-Kyun Hur & Chune Young Chung & Chang Liu, 2018. "Is Liquidity Risk Priced? Theory and Evidence," Sustainability, MDPI, vol. 10(6), pages 1-13, May.
    8. Wanling Huang & André Varella Mollick & Khoa Huu Nguyen, 2017. "Dynamic responses and tail-dependence among commodities, the US real interest rate and the dollar," Empirical Economics, Springer, vol. 53(3), pages 959-997, November.
    9. Alghalith, Moawia, 2016. "Novel and simple non-parametric methods of estimating the joint and marginal densities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 454(C), pages 94-98.
    10. Carbajal-De-Nova, Carolina & Venegas-Martínez, Francisco, 2019. "On the paradigm shift of asset pricing models, before and after the global financial crisis: a literature review," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 15(29), pages 7-38, Primer se.

  20. David E. Allen & Michael McAleer & Marcel Scharth, 2014. "Asymmetric Realized Volatility Risk," Working Papers in Economics 14/20, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Documentos de Trabajo del ICAE 2018-25, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Xu, Yongdeng, 2022. "The Exponential HEAVY Model: An Improved Approach to Volatility Modeling and Forecasting," Cardiff Economics Working Papers E2022/5, Cardiff University, Cardiff Business School, Economics Section.

  21. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2014. "European Market Portfolio Diversifcation Strategies across the GFC," Working Papers in Economics 14/25, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2014. "Hedge Fund Portfolio Diversification Strategies Across the GFC," Working Papers in Economics 14/27, University of Canterbury, Department of Economics and Finance.
    2. Víctor Adame-García & Fernando Fernández-Rodríguez & Simón Sosvilla-Rivero, 2017. "“Resolution of optimization problems and construction of efficient portfolios: An application to the Euro Stoxx 50 index"," IREA Working Papers 201702, University of Barcelona, Research Institute of Applied Economics, revised Feb 2017.

  22. David E Allen & Mohammad.A. Ashraf & Michael McAleer & Robert J Powell & Abhay K Singh, 2013. "Financial Dependence Analysis: Applications of Vine Copulae," KIER Working Papers 843, Kyoto University, Institute of Economic Research.

    Cited by:

    1. Yu, Lean & Zha, Rui & Stafylas, Dimitrios & He, Kaijian & Liu, Jia, 2020. "Dependences and volatility spillovers between the oil and stock markets: New evidence from the copula and VAR-BEKK-GARCH models," International Review of Financial Analysis, Elsevier, vol. 68(C).
    2. David E. Allen & Michael McAleer & Abhay K. Singh, 2014. "Risk Measurement and risk modelling using applications of Vine Copulas," Documentos de Trabajo del ICAE 2014-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    3. Luciana Dalla Valle & Maria Elena De Giuli & Claudia Tarantola & Claudio Manelli, 2014. "Default Probability Estimation via Pair Copula Constructions," Papers 1405.1309, arXiv.org, revised Aug 2015.
    4. Bukre Yildirim Kulekci & Gulden Poyraz & Ismail Gur & Ozan Evkaya, 2023. "Dependence Analysis of the ISE100 Banking Sector Using Vine Copula," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(73-1), pages 55-81, June.
    5. Václav Klepáč & David Hampel, 2015. "Assessing Efficiency of D-Vine Copula ARMA-GARCH Method in Value at Risk Forecasting: Evidence from PSE Listed Companies," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 63(4), pages 1287-1295.
    6. Kamal, Elham & Bouri, Elie, 2023. "Dependence structure among rare earth and financial markets: A multiscale-vine copula approach," Resources Policy, Elsevier, vol. 83(C).
    7. Ghufran Ahmad & Muhammad Suhail Rizwan & Dawood Ashraf, 2021. "Systemic risk and macroeconomic forecasting: A globally applicable copula‐based approach," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1420-1443, December.
    8. Jose Arreola Hernandez & Shawkat Hammoudeh & Duc Khuong Nguyen & Mazin A. M. Al Janabi & Juan Carlos Reboredo, 2017. "Global financial crisis and dependence risk analysis of sector portfolios: a vine copula approach," Applied Economics, Taylor & Francis Journals, vol. 49(25), pages 2409-2427, May.
    9. Alghalith, Moawia, 2017. "A new parametric method of estimating the joint probability density," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 799-803.
    10. Yingying HAN & Xiang ZHOU, 2017. "The Relationship between Stock and Exchange Rates for BRICS Countries Pre - and Post - Crisis: A Mixed C - VINE Copula Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(1), pages 38-59, March.
    11. Jules Clément Mba & Magdaline Mbong Mai, 2022. "A Particle Swarm Optimization Copula-Based Approach with Application to Cryptocurrency Portfolio Optimisation," JRFM, MDPI, vol. 15(7), pages 1-14, June.
    12. Sukcharoen, Kunlapath & Leatham, David J., 2017. "Hedging downside risk of oil refineries: A vine copula approach," Energy Economics, Elsevier, vol. 66(C), pages 493-507.
    13. Moawia Alghalith, 2022. "Methods in Econophysics: Estimating the Probability Density and Volatility," Papers 2301.10178, arXiv.org.

  23. David Allen & Michael McAleer & Robert Powell & Abhay Singh, 2013. "A Capital Adequacy Buffer Model," Working Papers in Economics 13/35, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Robert J. Powell & Duc H. Vo & Thach N. Pham, 2018. "Economic cycles and downside commodities risk," Applied Economics Letters, Taylor & Francis Journals, vol. 25(4), pages 258-263, February.

  24. David E Allen & Michael McAleer & Robert J Powell & Abhay K Singh, 2013. "Nonparametric Multiple Change Point Analysis of the Global Financial Crisis," KIER Working Papers 866, Kyoto University, Institute of Economic Research.

    Cited by:

    1. Allen, David E. & McAleer, Michael & Powell, Robert J. & Singh, Abhay K., 2017. "Volatility Spillovers from Australia's major trading partners across the GFC," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 159-175.
    2. Tareq Almazyad & Norhayati Zakuan & Laith Alrubaiee & Shamaila Butt & Azmirul Ashaari & Raghed IBRAHIM ESMAEEL, 2024. "Bibliometric Insights into Crisis Management: A Review of Key Literature," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(2), pages 1-34, June.
    3. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.

  25. David E. Allen & Abhay K. Singh & Robert J. Powell & Michael McAleer & James Taylor & Lyn Thomas, 2013. "Return-Volatility Relationship: Insights from Linear and Non-Linear Quantile Regression," Tinbergen Institute Discussion Papers 13-020/III, Tinbergen Institute.

    Cited by:

    1. Saadaoui Mallek, Ray & Albaity, Mohamed & Molyneux, Philip, 2022. "Herding behaviour heterogeneity under economic and political risks: Evidence from GCC," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 345-361.
    2. Holger Fink & Yulia Klimova & Claudia Czado & Jakob Stober, 2016. "Regime switching vine copula models for global equity and volatility indices," Papers 1604.05598, arXiv.org.
    3. Holger Fink & Yulia Klimova & Claudia Czado & Jakob Stöber, 2017. "Regime Switching Vine Copula Models for Global Equity and Volatility Indices," Econometrics, MDPI, vol. 5(1), pages 1-38, January.
    4. Bekiros, Stelios & Jlassi, Mouna & Lucey, Brian & Naoui, Kamel & Uddin, Gazi Salah, 2017. "Herding behavior, market sentiment and volatility: Will the bubble resume?," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 107-131.
    5. Avdulaj Krenar & Barunik Jozef, 2017. "A semiparametric nonlinear quantile regression model for financial returns," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(1), pages 81-97, February.

  26. Chia-Lin Chang & David Allen & Michael McAleer, 2013. "Recent Developments in Financial Economics and Econometrics: An Overview," Working Papers in Economics 13/06, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Sharif Mozumder & Arafatur Rahman, 2016. "Market Risk Of Investment In Us Subprime Crisis: Comparison Of A Pure Diffusion And A Pure Jump Model," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 1-17, September.
    2. Chang, Chia-Lin, 2014. "Modelling a Latent Daily Tourism Financial Conditions Index," MPRA Paper 54887, University Library of Munich, Germany.
    3. Brzeszczyński, Janusz & Gajdka, Jerzy & Kutan, Ali M., 2015. "Investor response to public news, sentiment and institutional trading in emerging markets: A review," International Review of Economics & Finance, Elsevier, vol. 40(C), pages 338-352.

  27. Chia-Lin Chang & David E. Allen & Michael McAleer & Teodosio Perez Amaral, 2013. "Risk Modeling and Management: An Overview," Working Papers in Economics 13/22, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Arnaud Dufays & Jeroen V. K. Rombouts, 2019. "Sparse Change-point HAR Models for Realized Variance," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 857-880, September.

  28. David E Allen & Abhay K Singh & Robert J Powell & Michael McAleer & James Taylor & Lyn Thomas, 2012. "The Volatility-Return Relationship:Insights from Linear and Non-Linear Quantile Regressions," KIER Working Papers 831, Kyoto University, Institute of Economic Research.

    Cited by:

    1. Badshah, Ihsan & Frijns, Bart & Knif, Johan & Tourani-Rad, Alireza, 2016. "Asymmetries of the intraday return-volatility relation," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 182-192.
    2. Agbeyegbe, Terence D., 2015. "An inverted U-shaped crude oil price return-implied volatility relationship," Review of Financial Economics, Elsevier, vol. 27(C), pages 28-45.

  29. David E Allen & Michael McAleer & Robert J Powell & Abhay Kumar Singh, 2012. "Volatility spillovers from the US to Australia and China across the GFC," KIER Working Papers 838, Kyoto University, Institute of Economic Research.

    Cited by:

    1. Ataurima Arellano, Miguel & Rodríguez, Gabriel, 2020. "Empirical modeling of high-income and emerging stock and Forex market return volatility using Markov-switching GARCH models," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).

  30. D.E. Allen & A. Kramadibrata & M. McAleer & R. Powell & A. K. Singh, 2012. "A non-parametric and entropy based analysis of the relationship between the VIX and S&P500," KIER Working Papers 827, Kyoto University, Institute of Economic Research.

    Cited by:

    1. Athanasios P. Fassas & Nikolas Hourvouliades, 2019. "VIX Futures as a Market Timing Indicator," JRFM, MDPI, vol. 12(3), pages 1-9, July.
    2. Parnes, Dror, 2024. "Copper-to-gold ratio as a leading indicator for the 10-Year Treasury yield," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    3. Nektarios Aslanidis & Charlotte Christiansen & Christos S. Savva, 2021. "Quantile Risk–Return Trade-Off," JRFM, MDPI, vol. 14(6), pages 1-14, June.

  31. Allen, D.E. & McAleer, M.J. & Amram, R., 2011. "Volatility Spillovers from the Chinese Stock Market to Economic Neighbours," Econometric Institute Research Papers EI 2011-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chia-Lin Chang & David E. Allen & Michael McAleer & Teodosio Perez Amaral, 2013. "Risk Modelling and Management: An Overview," KIER Working Papers 872, Kyoto University, Institute of Economic Research.
    2. Jung-Bin Su, 2022. "The Research on the Interactions between the Emerging and Developed Markets: From Region and Structural Break Perspectives," Mathematics, MDPI, vol. 10(8), pages 1-38, April.
    3. Iwanicz-Drozdowska, Małgorzata & Rogowicz, Karol & Kurowski, Łukasz & Smaga, Paweł, 2021. "Two decades of contagion effect on stock markets: Which events are more contagious?," Journal of Financial Stability, Elsevier, vol. 55(C).
    4. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2013. "Nonparametric Multiple Change Point Analysis of the Global Financial Crisis," Tinbergen Institute Discussion Papers 13-072/III, Tinbergen Institute.
    5. Huo, Rui & Ahmed, Abdullahi D., 2017. "Return and volatility spillovers effects: Evaluating the impact of Shanghai-Hong Kong Stock Connect," Economic Modelling, Elsevier, vol. 61(C), pages 260-272.
    6. Saffet Akdag & Ömer İskenderoglu & Andrew Adewale Alola, 2020. "The volatility spillover effects among risk appetite indexes: insight from the VIX and the rise," Letters in Spatial and Resource Sciences, Springer, vol. 13(1), pages 49-65, April.
    7. Apostolakis, George, 2016. "Spreading crisis: Evidence of financial stress spillovers in the Asian financial markets," International Review of Economics & Finance, Elsevier, vol. 43(C), pages 542-551.
    8. Ma, Xiuying & Yang, Zhihua & Xu, Xiangyun & Wang, Chengqi, 2018. "The impact of Chinese financial markets on commodity currency exchange rates," Global Finance Journal, Elsevier, vol. 37(C), pages 186-198.
    9. David E. Allen & Michael McAleer, 2020. "Do We Need Stochastic Volatility and Generalised Autoregressive Conditional Heteroscedasticity? Comparing Squared End-Of-Day Returns on FTSE," Risks, MDPI, vol. 8(1), pages 1-20, February.
    10. Laura Grace Gabriella & Revathy Suryanarayana & Vania Esady, 2016. "Financial Integration in ASEAN-5," Economics and Finance in Indonesia, Faculty of Economics and Business, University of Indonesia, vol. 62, pages 44-58, April.
    11. Wang, Qizhen & Zhu, Yingming & Yang, Liansheng & Mul, Remco A.H., 2017. "Coupling detrended fluctuation analysis of Asian stock markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 337-350.
    12. Geeta Duppati & Yang (Greg) Hou & Frank Scrimgeour, 2017. "The dynamics of price discovery for cross-listed stocks evidence from US and Chinese markets," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1389675-138, January.
    13. Sonali Agarwal, 2017. "Volatility in Stock Markets: A Comparison of Developed and Emerging Markets of the World," Indian Journal of Commerce and Management Studies, Educational Research Multimedia & Publications,India, vol. 8(2), pages 87-92, May.
    14. John Francis Diaz & Peh Ying Qian & Genevieve Liao Tan, 2018. "Variance Persistence in the Greater China Region: A Multivariate GARCH Approach," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 23(2), pages 49-68, July-Dec.
    15. Imran Yousaf & Shoaib Ali & Wing-Keung Wong, 2020. "An Empirical Analysis of the Volatility Spillover Effect between World-Leading and the Asian Stock Markets: Implications for Portfolio Management," JRFM, MDPI, vol. 13(10), pages 1-28, September.
    16. Liao, Jia & Qian, Qi & Xu, Xiangyun, 2018. "Whether the fluctuation of China’s financial markets have impact on global commodity prices?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1030-1040.
    17. Dahiru A. Balaa & Taro Takimotob, 2017. "Stock markets volatility spillovers during financial crises: A DCC-MGARCH with skewed-t density approach," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 17(1), pages 25-48, March.
    18. Vuong, Giang Thi Huong & Nguyen, Manh Huu & Huynh, Anh Ngoc Quang, 2022. "Volatility spillovers from the Chinese stock market to the U.S. stock market: The role of the COVID-19 pandemic," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    19. Yu, Honghai & Fang, Libing & Sun, Wencong, 2018. "Forecasting performance of global economic policy uncertainty for volatility of Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 505(C), pages 931-940.
    20. Tihana Škrinjarić, 2022. "Higher Moments Actually Matter: Spillover Approach for Case of CESEE Stock Markets," Mathematics, MDPI, vol. 10(24), pages 1-34, December.
    21. David Edmund Allen, 2020. "Stochastic Volatility and GARCH: Do Squared End-of-Day Returns Provide Similar Information?," JRFM, MDPI, vol. 13(9), pages 1-25, September.
    22. Kundu, Srikanta & Sarkar, Nityananda, 2016. "Return and volatility interdependences in up and down markets across developed and emerging countries," Research in International Business and Finance, Elsevier, vol. 36(C), pages 297-311.
    23. Do, A. & Powell, R. & Yong, J. & Singh, A., 2020. "Time-varying asymmetric volatility spillover between global markets and China’s A, B and H-shares using EGARCH and DCC-EGARCH models," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    24. Hou, Yang & Li, Steven, 2016. "Information transmission between U.S. and China index futures markets: An asymmetric DCC GARCH approach," Economic Modelling, Elsevier, vol. 52(PB), pages 884-897.
    25. Emawtee Bissoondoyal-Bheenick & Robert Brooks & Wei Chi & Hung Xuan Do, 2018. "Volatility spillover between the US, Chinese and Australian stock markets," Australian Journal of Management, Australian School of Business, vol. 43(2), pages 263-285, May.
    26. Ngo Thai HUNG, 2022. "Re-Study on Dynamic Connectedness between Macroeconomic Indicators and the Stock Market in China," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 104-124, April.
    27. Hu, Haiqing & Chen, Di & Sui, Bo & Zhang, Lang & Wang, Yinyin, 2020. "Price volatility spillovers between supply chain and innovation of financial pledges in China," Economic Modelling, Elsevier, vol. 89(C), pages 397-413.

  32. David E. Allen & Michael McAleer & Marcel Scharth, 2010. "Realized Volatility Risk," Working Papers in Economics 10/26, University of Canterbury, Department of Economics and Finance.

    Cited by:

    1. Federico M. Bandi & Roberto Reno, 2009. "Nonparametric Stochastic Volatility," Global COE Hi-Stat Discussion Paper Series gd08-035, Institute of Economic Research, Hitotsubashi University.
    2. Asai, M. & McAleer, M.J. & Medeiros, M.C., 2008. "Asymmetry and leverage in realized volatility," Econometric Institute Research Papers EI 2008-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Debaly, Zinsou Max & Marchand, Philippe & Girona, Miguel Montoro, 2022. "Autoregressive models for time series of random sums of positive variables: Application to tree growth as a function of climate and insect outbreak," Ecological Modelling, Elsevier, vol. 471(C).
    4. Cathy Ning & Dinghai Xu & Tony Wirjanto, 2009. "Modeling Asymmetric Volatility Clusters Using Copulas and High Frequency Data," Working Papers 006, Toronto Metropolitan University, Department of Economics.
    5. Manabu Asai & Michael McAleer & Marcelo C. Medeiros, 2011. "Asymmetry and Long Memory in Volatility Modelling," Documentos de Trabajo del ICAE 2011-29, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    6. Manabu Asai & Michael McAleer, 2016. "A Multivariate Asymmetric Long Memory Conditional Volatility Model with X, Regularity and Asymptotics," Tinbergen Institute Discussion Papers 16-065/III, Tinbergen Institute.
    7. Manabu Asai & Chia-Lin Chang & Michael McAleer, 2016. "Realized Matrix-Exponential Stochastic Volatility with Asymmetry, Long Memory and Spillovers," Documentos de Trabajo del ICAE 2016-15, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    8. Manabu Asai & Michael McAleer, 2013. "Leverage and Feedback Effects on Multifactor Wishart Stochastic Volatility for Option Pricing," Tinbergen Institute Discussion Papers 13-003/III, Tinbergen Institute.
    9. Asai, M. & Chang, C-L. & McAleer, M.J., 2017. "Realized Stochastic Volatility with General Asymmetry and Long Memory," Econometric Institute Research Papers TI 2017-038/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Vincenzo Candila, 2013. "A Comparison of the Forecasting Performances of Multivariate Volatility Models," Working Papers 3_228, Dipartimento di Scienze Economiche e Statistiche, Università degli Studi di Salerno.
    11. Siem Jan Koopman & Marcel Scharth, 2012. "The Analysis of Stochastic Volatility in the Presence of Daily Realized Measures," Journal of Financial Econometrics, Oxford University Press, vol. 11(1), pages 76-115, December.
    12. Allen, David E. & McAleer, Michael & Scharth, Marcel, 2011. "Monte Carlo option pricing with asymmetric realized volatility dynamics," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1247-1256.
    13. Bonato, Matteo & Caporin, Massimiliano & Ranaldo, Angelo, 2012. "Forecasting Realized (Co)Variances with a Bloc Structure Wishart Autoregressive Model," Working Papers on Finance 1211, University of St. Gallen, School of Finance.
    14. Mark J. Jensen & John M. Maheu, 2018. "Risk, Return and Volatility Feedback: A Bayesian Nonparametric Analysis," JRFM, MDPI, vol. 11(3), pages 1-29, September.
    15. Diep Duong & Norman Swanson, 2013. "Empirical Evidence on the Importance of Aggregation, Asymmetry, and Jumps for Volatility Prediction," Departmental Working Papers 201321, Rutgers University, Department of Economics.

  33. Allen, David E & Powell, Robert, 2008. "Structural Credit Modelling and Its Relationship to Market Value at Risk: An Australian Sectoral Perspective," MPRA Paper 47206, University Library of Munich, Germany.

    Cited by:

    1. Ngoc Phu Tran & Thang Cong Nguyen & Duc Hong Vo & Michael McAleer, 2019. "Market Risk Analysis of Energy in Vietnam," Risks, MDPI, vol. 7(4), pages 1-13, November.
    2. Allen, D.E. & Powell, R.J. & Singh, A.K., 2016. "Take it to the limit: Innovative CVaR applications to extreme credit risk measurement," European Journal of Operational Research, Elsevier, vol. 249(2), pages 465-475.
    3. Duc Hong Vo & Ngoc Phu Tran & Tam Nguyen-Thanh Duong & Michael McAleer, 2019. "Risk analysis of energy in Vietnam," Documentos de Trabajo del ICAE 2019-14, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.

  34. Gao, Jiti & McAleer, Michael & Allen, Dave, 2006. "Econometric modelling in finance and risk management: An overview," MPRA Paper 11978, University Library of Munich, Germany, revised Nov 2007.

    Cited by:

    1. Arnaud Dufays & Jeroen V. K. Rombouts, 2019. "Sparse Change-point HAR Models for Realized Variance," Econometric Reviews, Taylor & Francis Journals, vol. 38(8), pages 857-880, September.

  35. Zheng, H. & Thomas, L.C. & Allen, D.E., 2001. "The Duration Derby: A Comparison of Duration Based Strategies in Asset Liability Management," Papers 01-176, University of Southampton - Department of Accounting and Management Science.

    Cited by:

    1. R. B. Vinter & H. Zheng, 2003. "Some Finance Problems Solved with Nonsmooth Optimization Techniques," Journal of Optimization Theory and Applications, Springer, vol. 119(1), pages 1-18, October.
    2. Pascal François & Sophie Pardo, 2015. "Prepayment risk on callable bonds: theory and test," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 38(2), pages 147-176, October.
    3. Harry Zheng, 2007. "Macaulay durations for nonparallel shifts," Annals of Operations Research, Springer, vol. 151(1), pages 179-191, April.
    4. Zaremba Leszek, 2017. "Does Macaulay Duration Provide The Most Cost-Effective Immunization Method – A Theoretical Approach," Foundations of Management, Sciendo, vol. 9(1), pages 99-110, February.

Articles

  1. David E. Allen, 2022. "Cryptocurrencies, Diversification and the COVID-19 Pandemic," JRFM, MDPI, vol. 15(3), pages 1-25, February.
    See citations under working paper version above.
  2. David E. Allen & Michael McAleer, 2022. "“Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond”: Some Antecedents on Causality," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 117(537), pages 214-224, January.

    Cited by:

    1. Hrishikesh Vinod, 2023. "Causality Estimation in Panel Data," Fordham Economics Discussion Paper Series dp2023-09er:dp2023-09, Fordham University, Department of Economics.

  3. David E. Allen & Michael McAleer, 2021. "Predicting COVID-19 Cases and Deaths in the USA from Tests and State Populations," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(2), pages 1-27, June.

    Cited by:

    1. Edward C. H. Tang, 2024. "Examining the Impacts of the Pandemic on the Housing Bubble in Hong Kong," Advances in Decision Sciences, Asia University, Taiwan, vol. 28(1), pages 27-46, March.
    2. Massoud Moslehpour & Shin Hung Pan & Aviral Kumar Tiwari & Wing Keung Wong, 2021. "Editorial in Honour of Professor Michael McAleer," Advances in Decision Sciences, Asia University, Taiwan, vol. 25(4), pages 1-14, December.

  4. David E. Allen & Michael McAleer, 2021. "A Nonlinear Autoregressive Distributed Lag (NARDL) Analysis of the FTSE and S&P500 Indexes," Risks, MDPI, vol. 9(11), pages 1-20, November.

    Cited by:

    1. Deng, Xiang & Xu, Fang, 2024. "Asymmetric effects of international oil prices on China's PPI in different industries——Research based on NARDL model," Energy, Elsevier, vol. 290(C).
    2. Koushik Mandal & Radhika Prosad Datta, 2024. "Oil Price Dynamics and Sectoral Indices in India – Pre, Post and during COVID Pandemic: A Comparative Evidence from Wavelet-based Causality and NARDL," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 18-33, July.
    3. Jiecheng Song & Merry Ma, 2023. "Climate Change: Linear and Nonlinear Causality Analysis," Stats, MDPI, vol. 6(2), pages 1-17, May.
    4. Victoria Foye, 2022. "Climate Change and Macro Prices in Nigeria: A Nonlinear Analysis," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 20(2 (Summer), pages 167-203.
    5. Youxue Jiang & Zakia Batool & Syed Muhammad Faraz Raza & Mohammad Haseeb & Sajjad Ali & Syed Zain Ul Abidin, 2022. "Analyzing the Asymmetric Effect of Renewable Energy Consumption on Environment in STIRPAT-Kaya-EKC Framework: A NARDL Approach for China," IJERPH, MDPI, vol. 19(12), pages 1-15, June.

  5. Asai Manabu & Peiris Shelton & McAleer Michael & Allen David E., 2020. "Cointegrated Dynamics for a Generalized Long Memory Process: Application to Interest Rates," Journal of Time Series Econometrics, De Gruyter, vol. 12(1), pages 1-18, January.
    See citations under working paper version above.
  6. 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.

    Cited by:

    1. Kashif Islam & Ahmad Raza Bilal & Zeeshan Saeed & Samina Sardar & Muhammad Husnain Kamboh, 2023. "Impact of government integrity and corruption on sustainable stock market development: linear and nonlinear evidence from Pakistan," Economic Change and Restructuring, Springer, vol. 56(4), pages 2529-2556, August.
    2. Koushik Mandal & Radhika Prosad Datta, 2024. "Oil Price Dynamics and Sectoral Indices in India – Pre, Post and during COVID Pandemic: A Comparative Evidence from Wavelet-based Causality and NARDL," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 18-33, July.
    3. Jiecheng Song & Merry Ma, 2023. "Climate Change: Linear and Nonlinear Causality Analysis," Stats, MDPI, vol. 6(2), pages 1-17, May.
    4. Kashif Islam & Ahmad Raza Bilal & Syed Anees Haider Zaidi, 2022. "Symmetric and asymmetric nexus between economic freedom and stock market development in Pakistan," Economic Change and Restructuring, Springer, vol. 55(4), pages 2391-2421, November.
    5. David E. Allen & Michael McAleer, 2021. "A Nonlinear Autoregressive Distributed Lag (NARDL) Analysis of the FTSE and S&P500 Indexes," Risks, MDPI, vol. 9(11), pages 1-20, November.
    6. Achua, Joseph Kwaghkor & Yusuf, Mariam & Wakdok, Samuel Stephen, 2022. "Nonlinear public debt and resource rent nexus in highly indebted resource-rich sub-Saharan economies: Evidence from Nigeria," Resources Policy, Elsevier, vol. 79(C).

  7. David E. Allen & Michael McAleer, 2020. "Do We Need Stochastic Volatility and Generalised Autoregressive Conditional Heteroscedasticity? Comparing Squared End-Of-Day Returns on FTSE," Risks, MDPI, vol. 8(1), pages 1-20, February.

    Cited by:

    1. David Edmund Allen, 2020. "Stochastic Volatility and GARCH: Do Squared End-of-Day Returns Provide Similar Information?," JRFM, MDPI, vol. 13(9), pages 1-25, September.

  8. David E. Allen & Michael McAleer & Abhay K. Singh, 2019. "Daily market news sentiment and stock prices," Applied Economics, Taylor & Francis Journals, vol. 51(30), pages 3212-3235, June.
    See citations under working paper version above.
  9. Anh Ninh & Honggang Hu & David Allen, 2019. "Robust newsvendor problems: effect of discrete demands," Annals of Operations Research, Springer, vol. 275(2), pages 607-621, April.

    Cited by:

    1. Talal Alharbi & Anh Ninh & Ersoy Subasi & Munevver Mine Subasi, 2022. "The value of shape constraints in discrete moment problems: a review and extension," Annals of Operations Research, Springer, vol. 318(1), pages 1-31, November.
    2. Anh Ninh & Zuo‐Jun Max Shen & Martin A. Lariviere, 2020. "Concavity and Unimodality of Expected Revenue Under Discrete Willingness to Pay Distributions," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 788-796, March.
    3. Qingguo Bai & Jianteng Xu & Yuzhong Zhang, 2022. "The distributionally robust optimization model for a remanufacturing system under cap-and-trade policy: a newsvendor approach," Annals of Operations Research, Springer, vol. 309(2), pages 731-760, February.
    4. Andrew Butters, R., 2019. "On demand uncertainty in the newsvendor model," Economics Letters, Elsevier, vol. 185(C).
    5. Anh Ninh, 2021. "Robust newsvendor problems with compound Poisson demands," Annals of Operations Research, Springer, vol. 302(1), pages 327-338, July.
    6. Rung-Hung Su & Dong-Yuh Yang & He-Jhen Lin & Yu-Cheng Yang, 2023. "Estimating conservative profitability of a newsboy-type product with exponentially distributed demand based on multiple samples," Annals of Operations Research, Springer, vol. 322(2), pages 967-989, March.

  10. David Edmund Allen & Elisa Luciano, 2019. "Risk Analysis and Portfolio Modelling," JRFM, MDPI, vol. 12(4), pages 1-4, September.

    Cited by:

    1. Aleksandras Vytautas Rutkauskas & Viktorija Stasytytė, 2022. "Integrated Intellectual Investment Portfolio as an Efficient Instrument to Manage Personal Financial Investment," JRFM, MDPI, vol. 15(1), pages 1-22, January.
    2. Lucia Della Spina & Francesco Calabrò & Alessandro Rugolo, 2020. "Social Housing: An Appraisal Model of the Economic Benefits in Urban Regeneration Programs," Sustainability, MDPI, vol. 12(2), pages 1-19, January.
    3. Iryna Yanenkova & Yuliia Nehoda & Svetlana Drobyazko & Andrii Zavhorodnii & Lyudmyla Berezovska, 2021. "Modeling of Bank Credit Risk Management Using the Cost Risk Model," JRFM, MDPI, vol. 14(5), pages 1-15, May.

  11. David E. Allen & Michael McAleer, 2018. "Fake news and indifference to scientific fact: President Trump’s confused tweets on global warming, climate change and weather," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 625-629, October.
    See citations under working paper version above.
  12. David E. Allen & Michael McAleer, 2018. "Theoretical and Empirical Differences between Diagonal and Full BEKK for Risk Management," Energies, MDPI, vol. 11(7), pages 1-19, June.
    See citations under working paper version above.
  13. David E. Allen & Michael McAleer, 2018. "President Trump Tweets Supreme Leader Kim Jong-Un on Nuclear Weapons: A Comparison with Climate Change †," Sustainability, MDPI, vol. 10(7), pages 1-6, July.

    Cited by:

    1. David E. Allen & Michael McAleer, 2019. "Fake News and Propaganda: Trump’s Democratic America and Hitler’s National Socialist (Nazi) Germany," Sustainability, MDPI, vol. 11(19), pages 1-19, September.
    2. Santiago Alonso García & Gerardo Gómez García & Mariano Sanz Prieto & Antonio José Moreno Guerrero & Carmen Rodríguez Jiménez, 2020. "The Impact of Term Fake News on the Scientific Community. Scientific Performance and Mapping in Web of Science," Social Sciences, MDPI, vol. 9(5), pages 1-16, May.
    3. David E. Allen & Michael McAleer, 2022. "Trump’s COVID-19 tweets and Dr. Fauci’s emails," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1643-1655, March.

  14. David E. Allen & Chialin Chang & Michael McAleer & Abhay K Singh, 2018. "A cointegration analysis of agricultural, energy and bio-fuel spot, and futures prices," Applied Economics, Taylor & Francis Journals, vol. 50(7), pages 804-823, February.
    See citations under working paper version above.
  15. David E. Allen & Michael McAleer & David McHardy Reid, 2018. "Fake News And Indifference To Truth: Dissecting Tweets And State Of The Union Addresses By Presidents Obama And Trump," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 180-203, December.
    See citations under working paper version above.
  16. Rasika Yatigammana & Shelton Peiris & Richard Gerlach & David Edmund Allen, 2018. "Modelling and Forecasting Stock Price Movements with Serially Dependent Determinants," Risks, MDPI, vol. 6(2), pages 1-22, May.

    Cited by:

    1. Samuel Tabot Enow, 2022. "Modelling Stock Market Prices Using the Open, High and Closes Prices. Evidence from International Financial Markets," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 15(3), pages 52-59, December.

  17. David E Allen & Vince Hooper, 2018. "Generalized Correlation Measures of Causality and Forecasts of the VIX Using Non-Linear Models," Sustainability, MDPI, vol. 10(8), pages 1-15, August.

    Cited by:

    1. Rituparna Sen & Anandamayee Majumdar & Shubhangi Sikaria, 2022. "Bayesian Testing of Granger Causality in Functional Time Series," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 20(1), pages 191-210, September.
    2. H. D. Vinod, 2022. "Generalized, Partial and Canonical Correlation Coefficients," Computational Economics, Springer;Society for Computational Economics, vol. 60(4), pages 1479-1506, December.
    3. Allen, D.E. & McAleer, M.J., 2018. ""Generalized Measures of Correlation for Asymmetry, Nonlinearity, and Beyond": Comment," Econometric Institute Research Papers EI 2018-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Han Lin Shang & Kaiying Ji & Ufuk Beyaztas, 2021. "Granger causality of bivariate stationary curve time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(4), pages 626-635, July.
    5. Allen, David, 2021. "Cryptocurrencies, Diversification and the COVID-19 Pandemic," MPRA Paper 111735, University Library of Munich, Germany.
    6. Hrishikesh D. Vinod & P. M. Rao, 2019. "Externalities from Intra-Firm Trade by U.S. Multinationals," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 25(4), pages 389-397, November.
    7. Hrishikesh Vinod, 2023. "Causality Estimation in Panel Data," Fordham Economics Discussion Paper Series dp2023-09er:dp2023-09, Fordham University, Department of Economics.

  18. DAVID E. ALLEN & MICHAEL McALEER & ROBERT J. POWELL & ABHAY K. SINGH, 2018. "Non-Parametric Multiple Change Point Analysis Of The Global Financial Crisis," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(02), pages 1-23, June.
    See citations under working paper version above.
  19. David E Allen & Michael McAleer & Abhay K Singh, 2017. "An entropy-based analysis of the relationship between the DOW JONES Index and the TRNA Sentiment series," Applied Economics, Taylor & Francis Journals, vol. 49(7), pages 677-692, February.
    See citations under working paper version above.
  20. David E. Allen & Michael McAleer & Abhay K. Singh, 2017. "Risk Measurement and Risk Modelling Using Applications of Vine Copulas," Sustainability, MDPI, vol. 9(10), pages 1-34, September.
    See citations under working paper version above.
  21. David E. Allen & Michael McAleer & Robert Powell & Abhay K. Singh, 2017. "Volatility spillover and multivariate volatility impulse response analysis of GFC news events," Applied Economics, Taylor & Francis Journals, vol. 49(33), pages 3246-3262, July.
    See citations under working paper version above.
  22. Allen, David E. & McAleer, Michael & Powell, Robert J. & Singh, Abhay K., 2017. "Volatility Spillovers from Australia's major trading partners across the GFC," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 159-175.
    See citations under working paper version above.
  23. Ng, Kok Haur & Peiris, Shelton & Chan, Jennifer So-kuen & Allen, David & Ng, Kooi Huat, 2017. "Efficient modelling and forecasting with range based volatility models and its application," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 448-460.

    Cited by:

    1. Tan, Shay-Kee & Ng, Kok-Haur & Chan, Jennifer So-Kuen & Mohamed, Ibrahim, 2019. "Quantile range-based volatility measure for modelling and forecasting volatility using high frequency data," The North American Journal of Economics and Finance, Elsevier, vol. 47(C), pages 537-551.
    2. Wu, Xinyu & Xie, Haibin & Zhang, Huanming, 2022. "Time-varying risk aversion and renminbi exchange rate volatility: Evidence from CARR-MIDAS model," The North American Journal of Economics and Finance, Elsevier, vol. 61(C).
    3. Wu, Xinyu & Hou, Xinmeng, 2020. "Forecasting volatility with component conditional autoregressive range model," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    4. Shay Kee Tan & Kok Haur Ng & Jennifer So-Kuen Chan, 2022. "Predicting Returns, Volatilities and Correlations of Stock Indices Using Multivariate Conditional Autoregressive Range and Return Models," Mathematics, MDPI, vol. 11(1), pages 1-24, December.

  24. D. E. Allen & M. McAleer & R. J. Powell & A. K. Singh, 2016. "A capital adequacy buffer model," Applied Economics Letters, Taylor & Francis Journals, vol. 23(3), pages 175-179, February.
    See citations under working paper version above.
  25. David E. Allen & Michael McAleer & Shelton Peiris & Abhay K. Singh, 2016. "Nonlinear Time Series and Neural-Network Models of Exchange Rates between the US Dollar and Major Currencies," Risks, MDPI, vol. 4(1), pages 1-14, March.
    See citations under working paper version above.
  26. David E. Allen & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2016. "Down-Side Risk Metrics as Portfolio Diversification Strategies across the Global Financial Crisis," JRFM, MDPI, vol. 9(2), pages 1-18, June.

    Cited by:

    1. David E. Allen & Michael McAleer & Abhay K. Singh, 2017. "A Multi-Criteria Portfolio Analysis of Hedge Fund Strategies," Tinbergen Institute Discussion Papers 17-013/III, Tinbergen Institute.
    2. Abdullah Aloqab & Farouk Alobaidi & Bassam Raweh, 2018. "Operational Risk Management in Financial Institutions: An Overview," Business and Economic Research, Macrothink Institute, vol. 8(2), pages 11-32, June.
    3. Antonio Díaz & Gonzalo García-Donato & Andrés Mora-Valencia, 2019. "Quantifying Risk in Traditional Energy and Sustainable Investments," Sustainability, MDPI, vol. 11(3), pages 1-22, January.
    4. Haensly, Paul J., 2022. "Lessons from naïve diversification about the risk-reward trade-off," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    5. H. Fink & S. Geissel & J. Herbinger & F. T. Seifried, 2019. "Portfolio Optimization with Optimal Expected Utility Risk Measures," Working Paper Series 2019-07, University of Trier, Research Group Quantitative Finance and Risk Analysis.
    6. S. Geissel & H. Graf & J. Herbinger & F. T. Seifried, 2022. "Portfolio optimization with optimal expected utility risk measures," Annals of Operations Research, Springer, vol. 309(1), pages 59-77, February.
    7. David E. Allen & Michael McAleer & Abhay K. Singh, 2018. "A Multi-Criteria Financial and Energy Portfolio Analysis of Hedge Fund Strategies," Documentos de Trabajo del ICAE 2018-18, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    8. Marc S. Paolella, 2017. "The Univariate Collapsing Method for Portfolio Optimization," Econometrics, MDPI, vol. 5(2), pages 1-33, May.

  27. Allen, D.E. & Powell, R.J. & Singh, A.K., 2016. "Take it to the limit: Innovative CVaR applications to extreme credit risk measurement," European Journal of Operational Research, Elsevier, vol. 249(2), pages 465-475.

    Cited by:

    1. Zhang, Yuanyuan & Zhao, Huiru & Li, Bingkang & Zhao, Yihang & Qi, Ze, 2022. "Research on credit rating and risk measurement of electricity retailers based on Bayesian Best Worst Method-Cloud Model and improved Credit Metrics model in China's power market," Energy, Elsevier, vol. 252(C).
    2. Chunlin Luo & Xin Tian & Xiaobing Mao & Qiang Cai, 2018. "Coordinating Supply Chain with Buy-Back Contracts in the Presence of Risk Aversion," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(02), pages 1-19, April.
    3. Jose Arreola Hernandez & Sang Hoon Kang & Seong‐Min Yoon, 2022. "Nonlinear spillover and portfolio allocation characteristics of energy equity sectors: Evidence from the United States and Canada," Review of International Economics, Wiley Blackwell, vol. 30(1), pages 1-33, February.
    4. Yfanti, Stavroula & Karanasos, Menelaos & Zopounidis, Constantin & Christopoulos, Apostolos, 2023. "Corporate credit risk counter-cyclical interdependence: A systematic analysis of cross-border and cross-sector correlation dynamics," European Journal of Operational Research, Elsevier, vol. 304(2), pages 813-831.
    5. Ngoc Phu Tran & Thang Cong Nguyen & Duc Hong Vo & Michael McAleer, 2019. "Market Risk Analysis of Energy in Vietnam," Risks, MDPI, vol. 7(4), pages 1-13, November.
    6. Fernández, Arturo J., 2017. "Economic lot sampling inspection from defect counts with minimum conditional value-at-risk," European Journal of Operational Research, Elsevier, vol. 258(2), pages 573-580.
    7. Robert J. Powell & Duc H. Vo & Thach N. Pham, 2018. "Do Nonparametric Measures of Extreme Equity Risk Change the Parametric Ordinal Ranking? Evidence from Asia," Risks, MDPI, vol. 6(4), pages 1-22, October.
    8. Robert J. Powell & Duc H. Vo & Thach N. Pham, 2018. "Economic cycles and downside commodities risk," Applied Economics Letters, Taylor & Francis Journals, vol. 25(4), pages 258-263, February.
    9. R.J. Powell, 2017. "New perspectives on bank risk in Malaysia," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1326217-132, January.
    10. Dawen Yan & Xiaohui Zhang & Mingzheng Wang, 2021. "A robust bank asset allocation model integrating credit-rating migration risk and capital adequacy ratio regulations," Annals of Operations Research, Springer, vol. 299(1), pages 659-710, April.
    11. Braouezec, Yann & Wagalath, Lakshithe, 2019. "Strategic fire-sales and price-mediated contagion in the banking system," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1180-1197.
    12. Mingquan Wang & Fengping Yang & Bin Zhang & Zhisong Chen, 2023. "Sustainable Quality Management Based on Metrological Sampling Scheme Design: A Case Study of Food Processor," Sustainability, MDPI, vol. 15(6), pages 1-13, March.
    13. Duc Hong Vo & Ngoc Phu Tran & Tam Nguyen-Thanh Duong & Michael McAleer, 2019. "Risk analysis of energy in Vietnam," Documentos de Trabajo del ICAE 2019-14, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    14. Sovan Mitra & Andreas Karathanasopoulos, 2019. "Firm Value and the Impact of Operational Management," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(1), pages 61-85, March.

  28. Patrick W. Saart & Jiti Gao & David E. Allen, 2015. "Semiparametric Autoregressive Conditional Duration Model: Theory and Practice," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 849-881, December.

    Cited by:

    1. Patrick Saart & Jiti Gao, 2012. "Semiparametric Methods in Nonlinear Time Series Analysis: A Selective Review," Monash Econometrics and Business Statistics Working Papers 21/12, Monash University, Department of Econometrics and Business Statistics.
    2. Gao, Jiti & Kim, Nam Hyun & Saart, Patrick W., 2015. "A misspecification test for multiplicative error models of non-negative time series processes," Journal of Econometrics, Elsevier, vol. 189(2), pages 346-359.
    3. Patrick W Saart & Jiti Gao & Nam Hyun Kim, 2014. "Econometric Time Series Specification Testing in a Class of Multiplicative Error Models," Monash Econometrics and Business Statistics Working Papers 1/14, Monash University, Department of Econometrics and Business Statistics.
    4. Pooi AH-HIN & Ng KOK-HAUR & Soo HUEI-CHING, 2016. "Modelling and Forecasting with Financial Duration Data Using Non-linear Model," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(2), pages 79-92.

  29. David E. Allen & Michael McAleer & Marcel Scharth, 2014. "Asymmetric Realized Volatility Risk," JRFM, MDPI, vol. 7(2), pages 1-30, June.
    See citations under working paper version above.
  30. Chia-Lin Chang & Allen, David & McAleer, Michael, 2013. "Recent developments in financial economics and econometrics: An overview," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 217-226.
    See citations under working paper version above.
  31. Allen, D.E. & Kramadibrata, A.R. & Powell, R.J. & Singh, A.K., 2013. "Modelling tail credit risk using transition matrices," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 67-75.

    Cited by:

    1. McAleer, M.J. & Chan, F. & Oxley, L., 2013. "Modelling and Simulation: An Overview," Econometric Institute Research Papers EI2013-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Kun Liang & Cuiqing Jiang & Zhangxi Lin & Weihong Ning & Zelin Jia, 2017. "The nature of sellers’ cyber credit in C2C e-commerce: the perspective of social capital," Electronic Commerce Research, Springer, vol. 17(1), pages 133-147, March.

  32. Allen, David E. & Amram, Ron & McAleer, Michael, 2013. "Volatility spillovers from the Chinese stock market to economic neighbours," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 238-257.
    See citations under working paper version above.
  33. Allen, David & Ng, K.H. & Peiris, Shelton, 2013. "Estimating and simulating Weibull models of risk or price durations: An application to ACD models," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 214-225.

    Cited by:

    1. Hammoudeh, Shawkat & McAleer, Michael, 2013. "Risk management and financial derivatives: An overview," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 109-115.
    2. Kibria, Ahsan & Akhundjanov, Sherzod B. & Oladi, Reza, 2019. "Fossil fuel share in the energy mix and economic growth," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 253-264.
    3. Saulo, Helton & Balakrishnan, Narayanaswamy & Vila, Roberto, 2023. "On a quantile autoregressive conditional duration model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 203(C), pages 425-448.
    4. Pooi AH-HIN & Ng KOK-HAUR & Soo HUEI-CHING, 2016. "Modelling and Forecasting with Financial Duration Data Using Non-linear Model," ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, Faculty of Economic Cybernetics, Statistics and Informatics, vol. 50(2), pages 79-92.
    5. Ng, Kok Haur & Peiris, Shelton & Chan, Jennifer So-kuen & Allen, David & Ng, Kooi Huat, 2017. "Efficient modelling and forecasting with range based volatility models and its application," The North American Journal of Economics and Finance, Elsevier, vol. 42(C), pages 448-460.
    6. Allen, David & Ng, K.H. & Peiris, Shelton, 2013. "The efficient modelling of high frequency transaction data: A new application of estimating functions in financial economics," Economics Letters, Elsevier, vol. 120(1), pages 117-122.
    7. Jacobi, Arie & Tzur, Joseph, 2021. "Wealth Distribution across Countries: Quality of Weibull, Dagum and Burr XII in Estimating Wealth over Time," Finance Research Letters, Elsevier, vol. 43(C).
    8. Helton Saulo & Narayanaswamy Balakrishnan & Roberto Vila, 2021. "On a quantile autoregressive conditional duration model applied to high-frequency financial data," Papers 2109.03844, arXiv.org.

  34. David E. Allen & Michael McAleer & Robert Powell & Abhay K. Singh, 2013. "A Non-Parametric and Entropy Based Analysis of the Relationship between the VIX and S&P 500," JRFM, MDPI, vol. 6(1), pages 1-25, October.
    See citations under working paper version above.
  35. Allen, David E. & Singh, Abhay K. & Powell, Robert J., 2013. "EVT and tail-risk modelling: Evidence from market indices and volatility series," The North American Journal of Economics and Finance, Elsevier, vol. 26(C), pages 355-369.

    Cited by:

    1. Hussain, Saiful Izzuan & Li, Steven, 2015. "Modeling the distribution of extreme returns in the Chinese stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 263-276.
    2. Li, Longqing, 2017. "A Comparative Study of GARCH and EVT Model in Modeling Value-at-Risk," MPRA Paper 85645, University Library of Munich, Germany.
    3. Sharif Mozumder & Arafatur Rahman, 2016. "Market Risk Of Investment In Us Subprime Crisis: Comparison Of A Pure Diffusion And A Pure Jump Model," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 11(03), pages 1-17, September.
    4. Wang, Peiwan & Zong, Lu, 2020. "Contagion effects and risk transmission channels in the housing, stock, interest rate and currency markets: An Empirical Study in China and the U.S," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    5. Santanu Dutta & Tushar Kanti Powdel, 2023. "Modeling Long Term Return Distribution and Nonparametric Market Risk Estimation," Sankhya B: The Indian Journal of Statistics, Springer;Indian Statistical Institute, vol. 85(1), pages 257-289, May.
    6. Ahmed, Rizwan & Chaudhry, Sajid M. & Kumpamool, Chamaiporn & Benjasak, Chonlakan, 2022. "Tail risk, systemic risk and spillover risk of crude oil and precious metals," Energy Economics, Elsevier, vol. 112(C).
    7. Candia, Claudio & Herrera, Rodrigo, 2024. "An empirical review of dynamic extreme value models for forecasting value at risk, expected shortfall and expectile," Journal of Empirical Finance, Elsevier, vol. 77(C).
    8. Aloui, Chaker & Hamida, Hela ben, 2014. "Modelling and forecasting value at risk and expected shortfall for GCC stock markets: Do long memory, structural breaks, asymmetry, and fat-tails matter?," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 349-380.
    9. Chia-Lin Chang & David Allen & Michael McAleer, 2013. "Recent Developments in Financial Economics and Econometrics: An Overview," Documentos de Trabajo del ICAE 2013-03, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    10. Zheng, Chengli & Su, Kuangxi & Yao, Yinhong, 2021. "Hedging futures performance with denoising and noise-assisted strategies," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    11. Roni Bhowmik & Wu Chao & Jewel Roy Kumar & Wang Shouyang, 2017. "A Study on the Volatility of the Bangladesh Stock Market — Based on GARCH Type Models," Journal of Systems Science and Information, De Gruyter, vol. 5(3), pages 193-215, June.
    12. Herrera, Rodrigo & Schipp, Bernhard, 2014. "Statistics of extreme events in risk management: The impact of the subprime and global financial crisis on the German stock market," The North American Journal of Economics and Finance, Elsevier, vol. 29(C), pages 218-238.
    13. Feria-Domínguez, José Manuel & Jiménez-Rodríguez, Enrique & Sholarin, Ola, 2015. "Tackling the over-dispersion of operational risk: Implications on capital adequacy requirements," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 206-221.
    14. Su, Jung-Bin, 2014. "Empirical analysis of long memory, leverage, and distribution effects for stock market risk estimates," The North American Journal of Economics and Finance, Elsevier, vol. 30(C), pages 1-39.
    15. Srilakshminarayana Gali, 2021. "The Behavior of Extreme and Cumulative Stock Price Random Variables during the Crisis Periods-A Study of Nifty 50 Stocks," Economic Research Guardian, Weissberg Publishing, vol. 11(1), pages 103-129, June.
    16. Liu, Yanxin & Li, Johnny Siu-Hang & Ng, Andrew Cheuk-Yin, 2015. "Option pricing under GARCH models with Hansen's skewed-t distributed innovations," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 108-125.

  36. David E Allen & Robert John Powell, 2013. "The Determinants of Capital Structure: Empirical evidence from Thai Banks," Information Management and Business Review, AMH International, vol. 5(8), pages 401-410.

    Cited by:

    1. Rafet Aktas & Suleyman AÇIKALIN & Bilge Bakin & Gokhan Celik, 2015. "The Determinants of Banks’ Capital Adequacy Ratio: Some Evidence from South Eastern European Countries," Journal of Economics and Behavioral Studies, AMH International, vol. 7(1), pages 79-88.
    2. Odunayo Magret Olarewaju & Joseph Olorunfemi Akande, 2016. "An Empirical Analysis of Capital Adequacy Determinants in Nigerian Banking Sector," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(12), pages 132-142, December.
    3. P. Aishwarya & Sudharani R & Suresh N, 2022. "A Study on Impact of Capital Structure on Profitability of Companies Listed in Indian Stock Exchange with respect to Automobile Industry," Papers 2207.00720, arXiv.org.

  37. David E. Allen & Abhay Kumar Singh & Robert Powell, 2013. "Analysing the return distributions of Australian stocks: the CAPM, factor models and quantile regressions," Global Business and Economics Review, Inderscience Enterprises Ltd, vol. 15(1), pages 88-109.

    Cited by:

    1. Uribe, Jorge M. & Chuliá, Helena & Guillén, Montserrat, 2017. "Uncertainty, systemic shocks and the global banking sector: Has the crisis modified their relationship?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 52-68.
    2. Laura Ferrando & Román Ferrer & Francisco Jareño, 2017. "Interest Rate Sensitivity of Spanish Industries: A Quantile Regression Approach," Manchester School, University of Manchester, vol. 85(2), pages 212-242, March.
    3. Chowdhury, Biplob & Jeyasreedharan, Nagaratnam & Dungey, Mardi, 2017. "Quantile relationships between standard, diffusion and jump betas across Japanese banks," Working Papers 2017-10, University of Tasmania, Tasmanian School of Business and Economics.

  38. Singh, Abhay K. & Allen, David E. & Robert, Powell J., 2013. "Extreme market risk and extreme value theory," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 94(C), pages 310-328.

    Cited by:

    1. Yarovaya, Larisa & Brzeszczyński, Janusz & Goodell, John W. & Lucey, Brian & Lau, Chi Keung Marco, 2022. "Rethinking financial contagion: Information transmission mechanism during the COVID-19 pandemic," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 79(C).
    2. Chia-Lin Chang & David E. Allen & Michael McAleer & Teodosio Perez Amaral, 2013. "Risk Modelling and Management: An Overview," KIER Working Papers 872, Kyoto University, Institute of Economic Research.
    3. Abdul-Aziz Ibn Musah & Jianguo Du & Hira Salah Ud din Khan & Alhassan Alolo Abdul-Rasheed Akeji, 2018. "The Asymptotic Decision Scenarios of an Emerging Stock Exchange Market: Extreme Value Theory and Artificial Neural Network," Risks, MDPI, vol. 6(4), pages 1-24, November.
    4. David E. Giles & Qinlu Chen, 2014. "Risk Analysis for Three Precious Metals: An Application of Extreme Value Theory," Econometrics Working Papers 1402, Department of Economics, University of Victoria.
    5. Eduard Krkoska & Klaus Reiner Schenk-Hoppé, 2019. "Herding in Smart-Beta Investment Products," JRFM, MDPI, vol. 12(1), pages 1-14, March.
    6. Runjie Xu & Chuanmin Mi & Nan Ye & Tom Marshall & Yadong Xiao & Hefan Shuai, 2020. "Risk Fluctuation Characteristics of Internet Finance: Combining Industry Characteristics with Ecological Value," Papers 2001.09798, arXiv.org.
    7. Salhi, Khaled & Deaconu, Madalina & Lejay, Antoine & Champagnat, Nicolas & Navet, Nicolas, 2016. "Regime switching model for financial data: Empirical risk analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 148-157.
    8. Emmanuel Afuecheta & Chigozie Utazi & Edmore Ranganai & Chibuzor Nnanatu, 2023. "An Application of Extreme Value Theory for Measuring Financial Risk in BRICS Economies," Annals of Data Science, Springer, vol. 10(2), pages 251-290, April.
    9. Laudagé, Christian & Desmettre, Sascha & Wenzel, Jörg, 2019. "Severity modeling of extreme insurance claims for tariffication," Insurance: Mathematics and Economics, Elsevier, vol. 88(C), pages 77-92.
    10. Reboredo, Juan C. & Ugando, Mikel, 2015. "Downside risks in EU carbon and fossil fuel markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 111(C), pages 17-35.

  39. David E. Allen & Mohammad A. Ashraf & Michael McAleer & Robert J. Powell & Abhay K. Singh, 2013. "Financial dependence analysis: applications of vine copulas," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 67(4), pages 403-435, November.
    See citations under working paper version above.
  40. Stan Karanasios & Dhavalkumar Thakker & Lydia Lau & David Allen & Vania Dimitrova & Alistair Norman, 2013. "Making sense of digital traces: An activity theory driven ontological approach," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(12), pages 2452-2467, December.

    Cited by:

    1. Stan Karanasios & Aljona Zorina, 2023. "From participation roles to socio‐emotional information roles: Insights from the closure of an online community," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(1), pages 33-49, January.

  41. Allen, David & Ng, K.H. & Peiris, Shelton, 2013. "The efficient modelling of high frequency transaction data: A new application of estimating functions in financial economics," Economics Letters, Elsevier, vol. 120(1), pages 117-122.

    Cited by:

    1. Magdalena Osinska & Andrzej Dobrzynski & Yochanan Shachmurove, 2016. "Performance Of American And Russian Joint Stock Companies On Financial Market. A Microstructure Perspective," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(4), pages 819-851, December.

  42. David Edmund Allen & Robert John Powell & Abhay Kumar Singh, 2012. "Beyond reasonable doubt: multiple tail risk measures applied to European industries," Applied Economics Letters, Taylor & Francis Journals, vol. 19(7), pages 671-676, May.

    Cited by:

    1. Ngoc Phu Tran & Thang Cong Nguyen & Duc Hong Vo & Michael McAleer, 2019. "Market Risk Analysis of Energy in Vietnam," Risks, MDPI, vol. 7(4), pages 1-13, November.
    2. Robert J. Powell & Duc H. Vo & Thach N. Pham, 2018. "Economic cycles and downside commodities risk," Applied Economics Letters, Taylor & Francis Journals, vol. 25(4), pages 258-263, February.
    3. Pradip Debnath & Hari Mohan Srivastava, 2021. "Optimal Returns in Indian Stock Market during Global Pandemic: A Comparative Study," JRFM, MDPI, vol. 14(12), pages 1-13, December.
    4. Duc Hong Vo & Ngoc Phu Tran & Tam Nguyen-Thanh Duong & Michael McAleer, 2019. "Risk analysis of energy in Vietnam," Documentos de Trabajo del ICAE 2019-14, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    5. Powell, Robert J. & Vo, Duc H. & Pham, Thach N. & Singh, Abhay K., 2017. "The long and short of commodity tails and their relationship to Asian equity markets," Journal of Asian Economics, Elsevier, vol. 52(C), pages 32-44.

  43. David E Allen & Robert Powell, 2012. "The fluctuating default risk of Australian banks," Australian Journal of Management, Australian School of Business, vol. 37(2), pages 297-325, August.

    Cited by:

    1. Allen, David E. & McAleer, Michael & Powell, Robert J. & Singh, Abhay K., 2017. "Volatility Spillovers from Australia's major trading partners across the GFC," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 159-175.
    2. Maria H. Kim & Graham Partington, 2015. "Dynamic forecasts of financial distress of Australian firms," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 135-160, February.
    3. Duc Hong Vo & Binh Ninh Vo Pham & Chi Minh Ho & Michael McAleer, 2019. "Corporate Financial Distress of Industry Level Listings in Vietnam," JRFM, MDPI, vol. 12(4), pages 1-17, September.
    4. Choi, Sun-Yong, 2022. "Credit risk interdependence in global financial markets: Evidence from three regions using multiple and partial wavelet approaches," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    5. Mamiza Haq & Necmi K. Avkiran & Amine Tarazi, 2019. "Does market discipline impact bank charter value? The case for Australia and Canada," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(1), pages 253-276, March.
    6. Andrew Grant & Luke Deer, 2020. "Consumer marketplace lending in Australia: Credit scores and loan funding success," Australian Journal of Management, Australian School of Business, vol. 45(4), pages 607-623, November.
    7. Kabir, Md. Nurul & Worthington, Andrew & Gupta, Rakesh, 2015. "Comparative credit risk in Islamic and conventional bank," Pacific-Basin Finance Journal, Elsevier, vol. 34(C), pages 327-353.
    8. Vo, D.H. & Pham, B.V.-N. & Pham, T.V.-T. & McAleer, M.J., 2019. "Corporate Financial Distress of Industry Level Listings in an Emerging Market," Econometric Institute Research Papers EI2019-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Pham Vo Ninh, Binh & Do Thanh, Trung & Vo Hong, Duc, 2018. "Financial distress and bankruptcy prediction: An appropriate model for listed firms in Vietnam," Economic Systems, Elsevier, vol. 42(4), pages 616-624.
    10. Linnenluecke, Martina K. & Chen, Xiaoyan & Ling, Xin & Smith, Tom & Zhu, Yushu, 2016. "Emerging trends in Asia-Pacific finance research: A review of recent influential publications and a research agenda," Pacific-Basin Finance Journal, Elsevier, vol. 36(C), pages 66-76.
    11. Duc Hong Vo & Quang Van Tuan & Trung Vu-Thanh Pham, 2019. "Sectoral Risks in Vietnam and Malaysia A Comparative Analysis," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 62-87, March.
    12. Searat Ali & Benjamin Liu & Jen Je Su, 2022. "Does corporate governance have a differential effect on downside and upside risk?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(9-10), pages 1642-1695, October.
    13. Angus Campbell & Daniel R. Smith, 2022. "An empirical investigation of the quality of value‐at‐risk disclosure in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(1), pages 469-491, March.
    14. Katherine Uylangco & Siqiwen Li, 2016. "An evaluation of the effectiveness of Value-at-Risk (VaR) models for Australian banks under Basel III," Australian Journal of Management, Australian School of Business, vol. 41(4), pages 699-718, November.
    15. Dinh, Dung V. & Powell, Robert J. & Vo, Duc H., 2021. "Forecasting corporate financial distress in the Southeast Asian countries: A market-based approach," Journal of Asian Economics, Elsevier, vol. 74(C).
    16. Williams, Barry, 2016. "The impact of non-interest income on bank risk in Australia," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 16-37.
    17. Silvio Tarca & Marek Rutkowski, 2014. "Assessing the Basel II Internal Ratings-Based Approach: Empirical Evidence from Australia," Papers 1412.0064, arXiv.org, revised Jul 2016.
    18. John Nkwoma Inekwe & Yi Jin & Maria Rebecca Valenzuela, 2018. "Global financial network and liquidity risk," Australian Journal of Management, Australian School of Business, vol. 43(4), pages 593-613, November.
    19. Carbajal-De-Nova, Carolina & Venegas-Martínez, Francisco, 2019. "On the paradigm shift of asset pricing models, before and after the global financial crisis: a literature review," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 15(29), pages 7-38, Primer se.

  44. David Allen & Robert Faff, 2012. "The Global Financial Crisis: some attributes and responses," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 52(1), pages 1-7, March.

    Cited by:

    1. Allen, David E. & McAleer, Michael & Powell, Robert J. & Singh, Abhay K., 2017. "Volatility Spillovers from Australia's major trading partners across the GFC," International Review of Economics & Finance, Elsevier, vol. 47(C), pages 159-175.
    2. Sue Wright & Elizabeth Sheedy & Shane Magee, 2018. "International compliance with new Basel Accord principles for risk governance," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(1), pages 279-311, March.
    3. Michael O'Neill & Kent Wang & Zhangxin (Frank) Liu & Tom Smith, 2016. "A State-Price Volatility Index for China's Stock Market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 56(3), pages 607-626, September.
    4. Robert W Faff & Stephen Gray & Kelvin Jui Keng Tan, 2016. "A contemporary view of corporate finance theory, empirical evidence and practice," Australian Journal of Management, Australian School of Business, vol. 41(4), pages 662-686, November.
    5. Shumi Akhtar & Maria Jahromi & Tom Smith, 2017. "Impact of the global financial crisis on Islamic and conventional stocks and bonds," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(3), pages 623-655, September.
    6. Bronwyn McCredie, 2020. "The discrete and differential impact of monetary policy," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 2919-2937, September.
    7. Gerald J. Lobo & Luc Paugam & Hervé Stolowy & Pierre Astolfi, 2017. "The Effect of Business and Financial Market Cycles on Credit Ratings: Evidence from the Last Two Decades," Abacus, Accounting Foundation, University of Sydney, vol. 53(1), pages 59-93, March.

  45. D. E. Allen & A. K. Singh & R. Powell, 2012. "A Gourmet's delight: CAViaR and the Australian stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 19(15), pages 1493-1498, October.

    Cited by:

    1. Wu, JunFeng & Zhang, Chao & Chen, Yun, 2022. "Analysis of risk correlations among stock markets during the COVID-19 pandemic," International Review of Financial Analysis, Elsevier, vol. 83(C).
    2. Peng, Wei & Hu, Shichao & Chen, Wang & Zeng, Yu-feng & Yang, Lu, 2019. "Modeling the joint dynamic value at risk of the volatility index, oil price, and exchange rate," International Review of Economics & Finance, Elsevier, vol. 59(C), pages 137-149.
    3. Katherine Uylangco & Siqiwen Li, 2016. "An evaluation of the effectiveness of Value-at-Risk (VaR) models for Australian banks under Basel III," Australian Journal of Management, Australian School of Business, vol. 41(4), pages 699-718, November.

  46. Allen, David E. & McAleer, Michael & Scharth, Marcel, 2011. "Monte Carlo option pricing with asymmetric realized volatility dynamics," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1247-1256.

    Cited by:

    1. Ledermann, Daniel & Alexander, Carol, 2012. "Further properties of random orthogonal matrix simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 83(C), pages 56-79.
    2. Chen, Jilong & Xu, Liao & Xu, Hao, 2022. "The impact of COVID-19 on commodity options market: Evidence from China," Economic Modelling, Elsevier, vol. 116(C).
    3. Abootaleb Shirvani & Stefan Mittnik & W. Brent Lindquist & Svetlozar T. Rachev, 2021. "Bitcoin Volatility and Intrinsic Time Using Double Subordinated Levy Processes," Papers 2109.15051, arXiv.org, revised Aug 2023.

  47. D. E. Allen & R. J. Powell & A. K. Singh, 2011. "Quantile Regression As A Tool For Portfolio Investment Decisions During Times Of Financial Distress," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-19.

    Cited by:

    1. David E. Allen & Michael McAleer & Abhay K. Singh, 2019. "Daily market news sentiment and stock prices," Applied Economics, Taylor & Francis Journals, vol. 51(30), pages 3212-3235, June.
    2. Jaeyoung Cheong & Heejoon Lee & Minjung Kang, 2021. "Stock Index Prediction using Cointegration test and Quantile Loss," Papers 2109.15045, arXiv.org.
    3. Ruchika Sehgal & Aparna Mehra, 2023. "Quantile Regression Based Enhanced Indexing with Portfolio Rebalancing," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(3), pages 721-742, September.

  48. Yap, Ghialy & Allen, David, 2011. "Investigating other leading indicators influencing Australian domestic tourism demand," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(7), pages 1365-1374.

    Cited by:

    1. Wang, Yu Shan, 2014. "Effects of budgetary constraints on international tourism expenditures," Tourism Management, Elsevier, vol. 41(C), pages 9-18.
    2. Silva, Emmanuel Sirimal & Ghodsi, Zara & Ghodsi, Mansi & Heravi, Saeed & Hassani, Hossein, 2017. "Cross country relations in European tourist arrivals," Annals of Tourism Research, Elsevier, vol. 63(C), pages 151-168.
    3. Sagaert, Yves R. & Aghezzaf, El-Houssaine & Kourentzes, Nikolaos & Desmet, Bram, 2018. "Tactical sales forecasting using a very large set of macroeconomic indicators," European Journal of Operational Research, Elsevier, vol. 264(2), pages 558-569.
    4. Chiang-Ming Chen, 2013. "Research Note: Estimating the Work Time Effect on Hotel Room Demand," Tourism Economics, , vol. 19(6), pages 1461-1466, December.
    5. Shaidathul Jemin, 2023. "The Relationship between Macroeconomic Factors and Tourism Demand for OIC Countries ," GATR Journals jber238, Global Academy of Training and Research (GATR) Enterprise.
    6. Dragouni, Mina & Filis, George & Gavriilidis, Konstantinos & Santamaria, Daniel, 2016. "Sentiment, mood and outbound tourism demand," Annals of Tourism Research, Elsevier, vol. 60(C), pages 80-96.
    7. Silva, Emmanuel Sirimal & Hassani, Hossein, 2022. "‘Modelling’ UK tourism demand using fashion retail sales," Annals of Tourism Research, Elsevier, vol. 95(C).
    8. Faisal Nazir Zargar & Dilip Kumar, 2023. "Market fear, investor mood, sentiment, economic uncertainty and tourism sector in the United States amid COVID-19 pandemic: A spillover analysis," Tourism Economics, , vol. 29(2), pages 551-558, March.
    9. Heng Jiang & Chunlu Liu, 2011. "Forecasting construction demand: a vector error correction model with dummy variables," Construction Management and Economics, Taylor & Francis Journals, vol. 29(9), pages 969-979, August.
    10. Noelia Oses & Jon Kepa Gerrikagoitia & Aurkene Alzua, 2016. "Modelling and prediction of a destination’s monthly average daily rate and occupancy rate based on hotel room prices offered online," Tourism Economics, , vol. 22(6), pages 1380-1403, December.
    11. Khandokar Istiak, 2023. "Psychological factors of Canadian and Mexican tourists and the US tourism sector," Tourism Economics, , vol. 29(5), pages 1328-1354, August.
    12. Yap, Ghialy, 2013. "The impacts of exchange rates on Australia's domestic and outbound travel markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 139-150.
    13. Uju Violet Alola & Darya Baeva & Andrew Adewale Alola, 2023. "Determining the (A)symmetric Role of Business–Consumer Confidence in Outward–Inward Tourism in Russia: A Competitiveness Perspective," International Journal of Global Business and Competitiveness, Springer, vol. 18(1), pages 22-34, June.
    14. Athanasopoulos, George & Deng, Minfeng & Li, Gang & Song, Haiyan, 2014. "Modelling substitution between domestic and outbound tourism in Australia: A system-of-equations approach," Tourism Management, Elsevier, vol. 45(C), pages 159-170.

  49. Allen, David & Yap, Ghialy & Shareef, Riaz, 2009. "Modelling interstate tourism demand in Australia: A cointegration approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2733-2740.

    Cited by:

    1. Muhammad Shafiullah & Luke Emeka Okafor & Usman Khalid, 2019. "Determinants of international tourism demand: Evidence from Australian states and territories," Tourism Economics, , vol. 25(2), pages 274-296, March.
    2. Ghialy Yap, 2010. "Australian domestic tourism demand analysis using panel data static regression," Economic Journal of Emerging Markets, Universitas Islam Indonesia, vol. 2(2), pages 113-127, April.
    3. Yang, Yang & Liu, Ze-Hua & Qi, Qiuyin, 2014. "Domestic tourism demand of urban and rural residents in China: Does relative income matter?," Tourism Management, Elsevier, vol. 40(C), pages 193-202.
    4. Schiff, Aaron & Becken, Susanne, 2011. "Demand elasticity estimates for New Zealand tourism," Tourism Management, Elsevier, vol. 32(3), pages 564-575.
    5. Ketenci, Natalya, 2009. "The ARDL Approach to Cointegration Analysis of Tourism Demand in Turkey: with Greece as the substitution destination," MPRA Paper 86602, University Library of Munich, Germany.
    6. Deng, Minfeng & Athanasopoulos, George, 2011. "Modelling Australian domestic and international inbound travel: a spatial–temporal approach," Tourism Management, Elsevier, vol. 32(5), pages 1075-1084.
    7. Yap, Ghialy, 2013. "The impacts of exchange rates on Australia's domestic and outbound travel markets," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 139-150.
    8. Burak Darici & Ahmet Aydin & Fatih Ayhan & Merve Altaylar, 2023. "Macroeconomic Determinants of Tourism Demand Toward Emerging Markets," Istanbul Journal of Economics-Istanbul Iktisat Dergisi, Istanbul University, Faculty of Economics, vol. 73(73-2), pages 837-864, December.
    9. Athanasopoulos, George & Deng, Minfeng & Li, Gang & Song, Haiyan, 2014. "Modelling substitution between domestic and outbound tourism in Australia: A system-of-equations approach," Tourism Management, Elsevier, vol. 45(C), pages 159-170.
    10. Marcos à lvarez-Díaz & José María Chamorro-Rivas & Manuel González-Gómez & María Soledad Otero-Giráldez, 2024. "The impact of the COVID-19 outbreak on intra- and inter-regional domestic travel: Evidence from Spain," Tourism Economics, , vol. 30(4), pages 1039-1061, June.

  50. Allen, David & Lazarov, Zdravetz & McAleer, Michael & Peiris, Shelton, 2009. "Comparison of alternative ACD models via density and interval forecasts: Evidence from the Australian stock market," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2535-2555.

    Cited by:

    1. Ata Türkoğlu, 2016. "Normally distributed high-frequency returns: a subordination approach," Quantitative Finance, Taylor & Francis Journals, vol. 16(3), pages 389-409, March.
    2. Massimiliano Caporin & Juliusz Pres, 2010. "Modelling and forecasting wind speed intensity for weather risk management," "Marco Fanno" Working Papers 0106, Dipartimento di Scienze Economiche "Marco Fanno".
    3. Gresnigt, Francine & Kole, Erik & Franses, Philip Hans, 2015. "Interpreting financial market crashes as earthquakes: A new Early Warning System for medium term crashes," Journal of Banking & Finance, Elsevier, vol. 56(C), pages 123-139.
    4. Siakoulis, Vasilios, 2015. "Modeling bank default intensity in the USA using autoregressive duration models," MPRA Paper 64526, University Library of Munich, Germany.
    5. Vasileios Siakoulis & Ioannis Venetis, 2015. "On inter-arrival times of bond market extreme events. An application to seven European markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(4), pages 717-741, October.
    6. Allen, David E. & Gao, Jiti & McAleer, Michael, 2009. "Modelling and managing financial risk: An overview," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2521-2524.
    7. Allen, David & Ng, K.H. & Peiris, Shelton, 2013. "Estimating and simulating Weibull models of risk or price durations: An application to ACD models," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 214-225.
    8. Marcello Rambaldi & Emmanuel Bacry & Fabrizio Lillo, 2016. "The role of volume in order book dynamics: a multivariate Hawkes process analysis," Papers 1602.07663, arXiv.org.
    9. Allen, David & Ng, K.H. & Peiris, Shelton, 2013. "The efficient modelling of high frequency transaction data: A new application of estimating functions in financial economics," Economics Letters, Elsevier, vol. 120(1), pages 117-122.

  51. David E. Allen & Robert Powell, 2009. "Transitional credit modelling and its relationship to market value at risk: an Australian sectoral perspective," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 49(3), pages 425-444, September.

    Cited by:

    1. Henry Asante Antwi & Zhou Lulin & Ethel Yiranbon & James Onuche Ayegba & Mary-Ann Yebaoh & Emmanuel Osei Bonsu, 2014. "Risk Modelling in Healthcare Markets: a Comparative Analysis of three Risk Measurement Approaches," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(2), pages 271-281, April.
    2. Vijay A. Murik, 2013. "Bond pricing with a surface of zero coupon yields," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 53(2), pages 497-512, June.
    3. Allen, David E & Powell, Robert, 2008. "Structural Credit Modelling and Its Relationship to Market Value at Risk: An Australian Sectoral Perspective," MPRA Paper 47206, University Library of Munich, Germany.
    4. David E Allen & Robert Powell, 2012. "The fluctuating default risk of Australian banks," Australian Journal of Management, Australian School of Business, vol. 37(2), pages 297-325, August.
    5. Robert J. Powell & Duc H. Vo, 2020. "A Comprehensive Stability Indicator for Banks," Risks, MDPI, vol. 8(1), pages 1-15, February.
    6. Allen, D.E. & Kramadibrata, A.R. & Powell, R.J. & Singh, A.K., 2013. "Modelling tail credit risk using transition matrices," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 93(C), pages 67-75.
    7. Vo, D.H. & Pham, B.V.-N. & Pham, T.V.-T. & McAleer, M.J., 2019. "Corporate Financial Distress of Industry Level Listings in an Emerging Market," Econometric Institute Research Papers EI2019-15, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. BALTES Nicolae & DRAGOE Alexandra-Gabriela-Maria, 2017. "Estimating The Return Of The Financial Titles Of The Companies From The Manufacturing Industry, Listed On The Bucharest Stock Exchange," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 69(3), pages 19-28, August.
    9. Ngoc Phu Tran & Thang Cong Nguyen & Duc Hong Vo & Michael McAleer, 2019. "Market Risk Analysis of Energy in Vietnam," Risks, MDPI, vol. 7(4), pages 1-13, November.
    10. D. E. Allen & A. K. Singh & R. Powell, 2012. "A Gourmet's delight: CAViaR and the Australian stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 19(15), pages 1493-1498, October.
    11. R.J. Powell, 2017. "New perspectives on bank risk in Malaysia," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1326217-132, January.
    12. Allen, D.E. & Powell, R.J. & Singh, A.K., 2016. "Take it to the limit: Innovative CVaR applications to extreme credit risk measurement," European Journal of Operational Research, Elsevier, vol. 249(2), pages 465-475.
    13. Searat Ali & Benjamin Liu & Jen Je Su, 2022. "Does corporate governance have a differential effect on downside and upside risk?," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 49(9-10), pages 1642-1695, October.
    14. Angus Campbell & Daniel R. Smith, 2022. "An empirical investigation of the quality of value‐at‐risk disclosure in Australia," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(1), pages 469-491, March.
    15. Minhaz-Ul-Haq, 2021. "Measuring Market Risk of Commercial Banks Implementing VaR with Historical Simulation Approach," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 11(4), pages 1-4.
    16. Millicent Chang & Andrew B. Jackson & Marvin Wee, 2018. "A review of research on regulation changes in the Asia‐Pacific region," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(3), pages 635-667, September.
    17. Duc Hong Vo & Ngoc Phu Tran & Tam Nguyen-Thanh Duong & Michael McAleer, 2019. "Risk analysis of energy in Vietnam," Documentos de Trabajo del ICAE 2019-14, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    18. Katherine Uylangco & Siqiwen Li, 2016. "An evaluation of the effectiveness of Value-at-Risk (VaR) models for Australian banks under Basel III," Australian Journal of Management, Australian School of Business, vol. 41(4), pages 699-718, November.

  52. Allen, David E. & Gao, Jiti & McAleer, Michael, 2009. "Modelling and managing financial risk: An overview," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(8), pages 2521-2524.

    Cited by:

    1. Xue, Jian & Ding, Jing & Zhao, Laijun & Zhu, Di & Li, Lei, 2022. "An option pricing model based on a renewable energy price index," Energy, Elsevier, vol. 239(PB).
    2. Gao, Jiti & McAleer, Michael & Allen, David E., 2008. "Econometric modelling in finance and risk management: An overview," Journal of Econometrics, Elsevier, vol. 147(1), pages 1-4, November.
    3. Ledermann, Daniel & Alexander, Carol, 2012. "Further properties of random orthogonal matrix simulation," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 83(C), pages 56-79.

  53. Sato, Kiyotaka & Zhang, Zhaoyong & Allen, David, 2009. "The suitability of a monetary union in East Asia: What does the cointegration approach tell?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(9), pages 2927-2937.

    Cited by:

    1. H. Guimbard & M. Le Goff, 2015. "Mega-deals: What Consequences for sub-Saharan Africa?," Working papers 569, Banque de France.
    2. Gilles De Truchis & Benjamin Keddad, 2013. "Southeast Asian monetary integration: New evidences from fractional cointegration of real exchange rates," Post-Print hal-01498261, HAL.
    3. Chee‐Heong Quah & Patrick M. Crowley, 2010. "Monetary Integration in East Asia: A Hierarchical Clustering Approach," International Finance, Wiley Blackwell, vol. 13(2), pages 283-309, August.
    4. Stephen McKnight & Marco Robles Sánchez, 2014. "Is a monetary union feasible for Latin America? Evidence from real effective exchange rates and interest rate pass-through levels," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 29(2), pages 225-262.
    5. Jamshaid ur Rehman & Tasneem Zafar & Shabbir Ahmad & Aftab Anwar, 2022. "In Search of Common Currency Anchor for ASEAN+3+3 Countries," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(3), pages 237-264, September.
    6. Fegheh Majidi , Ali, 2014. "Currency Union and Bilateral Trade: Evidence from OIC Countries," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 9(2), pages 140-166, October.

  54. Allen, David & Chan, Felix & McAleer, Michael & Peiris, Shelton, 2008. "Finite sample properties of the QMLE for the Log-ACD model: Application to Australian stocks," Journal of Econometrics, Elsevier, vol. 147(1), pages 163-185, November.

    Cited by:

    1. Giuseppe Cavaliere & Thomas Mikosch & Anders Rahbek & Frederik Vilandt, 2022. "The Econometrics of Financial Duration Modeling," Papers 2208.02098, arXiv.org, revised Dec 2022.
    2. Luintel, Kul B & Xu, Yongdeng, 2013. "Testing weak exogeneity in multiplicative error models," Cardiff Economics Working Papers E2013/6, Cardiff University, Cardiff Business School, Economics Section.
    3. Feng, Yuanhua & Zhou, Chen, 2015. "Forecasting financial market activity using a semiparametric fractionally integrated Log-ACD," International Journal of Forecasting, Elsevier, vol. 31(2), pages 349-363.
    4. Patrick W. Saart & Jiti Gao & David E. Allen, 2015. "Semiparametric Autoregressive Conditional Duration Model: Theory and Practice," Econometric Reviews, Taylor & Francis Journals, vol. 34(6-10), pages 849-881, December.
    5. Bhatti, Chad R., 2009. "On the interday homogeneity in the intraday rate of trading," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(7), pages 2250-2257.
    6. Sucarrat, Genaro, 2018. "The Log-GARCH Model via ARMA Representations," MPRA Paper 100386, University Library of Munich, Germany.
    7. Nguyen, Giang & Engle, Robert & Fleming, Michael & Ghysels, Eric, 2020. "Liquidity and volatility in the U.S. Treasury market," Journal of Econometrics, Elsevier, vol. 217(2), pages 207-229.
    8. Cavaliere, Giuseppe & Mikosch, Thomas & Rahbek, Anders & Vilandt, Frederik, 2024. "Tail behavior of ACD models and consequences for likelihood-based estimation," Journal of Econometrics, Elsevier, vol. 238(2).
    9. Roman Huptas, 2019. "Point forecasting of intraday volume using Bayesian autoregressive conditional volume models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 38(4), pages 293-310, July.
    10. Nikolaus Hautsch & Peter Malec & Melanie Schienle, 2014. "Capturing the Zero: A New Class of Zero-Augmented Distributions and Multiplicative Error Processes," Journal of Financial Econometrics, Oxford University Press, vol. 12(1), pages 89-121.
    11. Perera, Indeewara & Silvapulle, Mervyn J., 2021. "Bootstrap based probability forecasting in multiplicative error models," Journal of Econometrics, Elsevier, vol. 221(1), pages 1-24.
    12. Danúbia R. Cunha & Roberto Vila & Helton Saulo & Rodrigo N. Fernandez, 2020. "A General Family of Autoregressive Conditional Duration Models Applied to High-Frequency Financial Data," JRFM, MDPI, vol. 13(3), pages 1-20, March.
    13. Siakoulis, Vasilios, 2015. "Modeling bank default intensity in the USA using autoregressive duration models," MPRA Paper 64526, University Library of Munich, Germany.
    14. Francq, Christian & Wintenberger, Olivier & Zakoian, Jean-Michel, 2012. "Garch models without positivity constraints: exponential or log garch?," MPRA Paper 41373, University Library of Munich, Germany.
    15. Roman Huptas, 2014. "Bayesian Estimation and Prediction for ACD Models in the Analysis of Trade Durations from the Polish Stock Market," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 6(4), pages 237-273, December.
    16. Ariful Hoque & Felix Chan & Meher Manzur, 2009. "Modeling Volatility in Foreign Currency Option Pricing," Multinational Finance Journal, Multinational Finance Journal, vol. 13(3-4), pages 189-208, September.
    17. Vasileios Siakoulis & Ioannis Venetis, 2015. "On inter-arrival times of bond market extreme events. An application to seven European markets," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(4), pages 717-741, October.
    18. Bhatti, Chad R., 2009. "Intraday trade and quote dynamics: A Cox regression analysis," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(7), pages 2240-2249.
    19. Aerambamoorthy Thavaneswaran & Nalini Ravishanker & You Liang, 2015. "Generalized duration models and optimal estimation using estimating functions," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 67(1), pages 129-156, February.
    20. Yiing Fei Tan & Kok Haur Ng & You Beng Koh & Shelton Peiris, 2022. "Modelling Trade Durations Using Dynamic Logarithmic Component ACD Model with Extended Generalised Inverse Gaussian Distribution," Mathematics, MDPI, vol. 10(10), pages 1-20, May.
    21. Allen, David & Ng, K.H. & Peiris, Shelton, 2013. "Estimating and simulating Weibull models of risk or price durations: An application to ACD models," The North American Journal of Economics and Finance, Elsevier, vol. 25(C), pages 214-225.
    22. Zhang, Yaohua & Zou, Jian & Ravishanker, Nalini & Thavaneswaran, Aerambamoorthy, 2019. "Modeling financial durations using penalized estimating functions," Computational Statistics & Data Analysis, Elsevier, vol. 131(C), pages 145-158.
    23. Perera, Indeewara & Koul, Hira L., 2017. "Fitting a two phase threshold multiplicative error model," Journal of Econometrics, Elsevier, vol. 197(2), pages 348-367.
    24. Wanbo Lu & Rui Ke, 2019. "A generalized least squares estimation method for the autoregressive conditional duration model," Statistical Papers, Springer, vol. 60(1), pages 123-146, February.
    25. N. Taylor & Y. Xu, 2017. "The logarithmic vector multiplicative error model: an application to high frequency NYSE stock data," Quantitative Finance, Taylor & Francis Journals, vol. 17(7), pages 1021-1035, July.
    26. Allen, David & Ng, K.H. & Peiris, Shelton, 2013. "The efficient modelling of high frequency transaction data: A new application of estimating functions in financial economics," Economics Letters, Elsevier, vol. 120(1), pages 117-122.
    27. Roman Huptas, 2016. "The UHF-GARCH-Type Model in the Analysis of Intraday Volatility and Price Durations – the Bayesian Approach," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 8(1), pages 1-20, March.
    28. Maurice Peat, 2009. "Market Data Resources for Researchers: The SIRCA Data Repository," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 42(4), pages 490-495, December.
    29. Bhatti, Chad R., 2010. "The Birnbaum–Saunders autoregressive conditional duration model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 80(10), pages 2062-2078.
    30. Min-Hsien Chiang & Ray Yeutien Chou & Li-Min Wang, 2016. "Outlier Detection in the Lognormal Logarithmic Conditional Autoregressive Range Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(1), pages 126-144, February.

  55. Gao, Jiti & McAleer, Michael & Allen, David E., 2008. "Econometric modelling in finance and risk management: An overview," Journal of Econometrics, Elsevier, vol. 147(1), pages 1-4, November.
    See citations under working paper version above.
  56. Allen, D.E. & Soucik, V., 2008. "Long-run underperformance of seasoned equity offerings: Fact or an illusion?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 146-154.

    Cited by:

    1. Anupam Dutta, 2017. "Seasoned Equity Offerings: Further Evidence from Australia," Global Business Review, International Management Institute, vol. 18(4), pages 1010-1018, August.
    2. Philip Brown & Gerry Gallery & Olivia Goei, 2006. "Does market misvaluation help explain share market long‐run underperformance following a seasoned equity issue?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 46(2), pages 191-219, June.
    3. Philip Brown & Andrew Ferguson & Kate Stone, 2008. "Share Purchase Plans in Australia: Issuer Characteristics and Valuation Implications," Australian Journal of Management, Australian School of Business, vol. 33(2), pages 307-332, December.

  57. D. E. Allen & A. Soongswang, 2006. "Post-Takeover Effects on Thai Bidding Firms: Are Takeovers in the Bidder's Interests?," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 9(04), pages 509-531.

    Cited by:

    1. Jeffrey Harrison & Matthew Hart & Derek Oler, 2014. "Leverage and acquisition performance," Review of Quantitative Finance and Accounting, Springer, vol. 43(3), pages 571-603, October.
    2. Tatyana Sokolyk, 2015. "Governance provisions and managerial entrenchment: evidence from CEO turnover of acquiring firms," Review of Quantitative Finance and Accounting, Springer, vol. 45(2), pages 305-335, August.
    3. Dimitris Andriosopoulos & Leonidas G. Barbopoulos, 2017. "Relative equity market valuation conditions and acquirers’ gains," Review of Quantitative Finance and Accounting, Springer, vol. 49(3), pages 855-884, October.
    4. Tomas Mantecon & Paul Thistle, 2011. "The IPO market as a screening device and the going public decision: evidence from acquisitions of privately and publicly held firms," Review of Quantitative Finance and Accounting, Springer, vol. 37(3), pages 325-361, October.

  58. D. E. Allen & H. M. Salim, 2005. "Forecasting profitability and earnings: a study of the UK market (1982-2000)," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 2009-2018.

    Cited by:

    1. Vicky Bamiatzi & Konstantinos Bozos & Konstantinos Nikolopoulos, 2010. "On the predictability of firm performance via simple time-series and econometric models: evidence from UK SMEs," Applied Economics Letters, Taylor & Francis Journals, vol. 17(3), pages 279-282, February.
    2. Mundt, Philipp & Alfarano, Simone & Milaković, Mishael, 2019. "Exploiting ergodicity in forecasts of corporate profitability," BERG Working Paper Series 147, Bamberg University, Bamberg Economic Research Group.
    3. Amor-Tapia, Borja & Tascón Fernández, María T., 2014. "Estimation of future levels and changes in profitability: The effect of the relative position of the firm in its industry and the operating-financing disaggregation," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 17(1), pages 30-46.
    4. Konstantinos Nikolopoulos, 2010. "Forecasting with quantitative methods: the impact of special events in time series," Applied Economics, Taylor & Francis Journals, vol. 42(8), pages 947-955.
    5. Jo Danbolt & Ian Hirst & Eddie Jones, 2011. "The growth companies puzzle: can growth opportunities measures predict firm growth?," The European Journal of Finance, Taylor & Francis Journals, vol. 17(1), pages 1-25.
    6. Safia Shabbir, 2013. "Implications of Monetary Policy for Corporate Sector and Economic Growth in Pakistan," SBP Working Paper Series 61, State Bank of Pakistan, Research Department.
    7. Liu, Li & Liu, Qigui & Tian, Gary & Wang, Peipei, 2018. "Government connections and the persistence of profitability: Evidence from Chinese listed firms," Emerging Markets Review, Elsevier, vol. 36(C), pages 110-129.
    8. Hui Tian & Andrew Yim & David P. Newton, 2021. "Tail-Heaviness, Asymmetry, and Profitability Forecasting by Quantile Regression," Management Science, INFORMS, vol. 67(8), pages 5209-5233, August.
    9. Bradley Ewing & Mark Thompson, 2007. "Asymmetric mean reversion in corporate profits," Applied Economics Letters, Taylor & Francis Journals, vol. 14(13), pages 935-938.
    10. Kjell Bjørn Nordal & Randi Næs, 2012. "Mean Reversion in Profitability for Non†listed Firms," European Financial Management, European Financial Management Association, vol. 18(5), pages 929-949, November.

  59. Wenling Yang & David E. Allen, 2005. "Multivariate GARCH hedge ratios and hedging effectiveness in Australian futures markets," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 45(2), pages 301-321, July.

    Cited by:

    1. Michael J O’Neill & Zhangxin (Frank) Liu, 2016. "Tail risk hedging for mutual funds using equity market state prices," Australian Journal of Management, Australian School of Business, vol. 41(4), pages 687-698, November.
    2. Shashi Gupta & Himanshu Choudhary & D.R. Agarwal, 2017. "Hedging Efficiency of Indian Commodity Futures," Paradigm, , vol. 21(1), pages 1-20, June.
    3. Ludwig B Chincarini, 2007. "The effectiveness of global currency hedging after the Asian crisis," Journal of Asset Management, Palgrave Macmillan, vol. 8(1), pages 34-51, May.
    4. John Hua Fan & Eduardo Roca & Alexandr Akimov, 2010. "Hedging With Futures Contract: Estimation and Performance Evaluation of Optimal Hedge Ratios in the European Union Emissions Trading Scheme," Discussion Papers in Finance finance:201009, Griffith University, Department of Accounting, Finance and Economics.
    5. Mohd Aminul Islam, 2017. "An Empirical Evaluation of Hedging Effectiveness of Crude Palm Oil Futures Market in Malaysia," International Journal of Economics and Financial Research, Academic Research Publishing Group, vol. 3(11), pages 303-314, 11-2017.
    6. Michael O'Neill & Gulasekaran Rajaguru, 2020. "A response surface analysis of critical values for the lead‐lag ratio with application to high frequency and non‐synchronous financial data," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(4), pages 3979-3990, December.
    7. Li, Miao & Xiong, Tao, 2023. "Is China's new live hog futures market efficient? Evidence from an analysis of market quality, price discovery and hedging effectiveness," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 68(01), September.
    8. Luděk Benada, 2018. "Comparison of the Impact of Econometric Models on Hedging Performance by Crude Oil and Natural Gas," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(2), pages 423-429.
    9. Cho, Jae-Beom & Min, Hong-Ghi & McDonald, Judith Ann, 2020. "Volatility and dynamic currency hedging," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    10. Lerskullawat, Polwat, 2019. "Hedging Effectiveness on the Thailand Futures Exchange Market," Asian Journal of Applied Economics, Kasetsart University, Center for Applied Economics Research, vol. 26(2), December.
    11. Audrone Virbickaite & M. Concepci'on Aus'in & Pedro Galeano, 2013. "A Bayesian Non-Parametric Approach to Asymmetric Dynamic Conditional Correlation Model With Application to Portfolio Selection," Papers 1301.5129, arXiv.org, revised Jan 2014.
    12. Zhangxin (Frank) Liu & Michael J. O'Neill, 2018. "Partial moment volatility indices," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 58(1), pages 195-215, March.
    13. Michael J. O'Neill & Zhangxin Liu & Tom Smith, 2017. "Fund Volatility Index using equity market state prices," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 57(3), pages 837-853, September.
    14. Babu Jose & Nithin Jose, 2023. "Is Cross-Hedging Effective for Mitigating Equity Investment Risks in the Indian Banking Sector?," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 30(1), pages 189-210, March.
    15. Rozaimah Zainudin & Roselee Shah Shaharudin, 2011. "Multi Mean Garch Approach to Evaluating Hedging Performance in the Crude Palm Oil Futures Market," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 7(1), pages 111-130.
    16. Wagner Oliveira Monteiro & Rodrigo De Losso da Silveira Bueno, 2011. "Dynamic Hedging inMarkov Regimes Switching," Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 136, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    17. Lee, Taehyun & Moutzouris, Ioannis C & Papapostolou, Nikos C & Fatouh, Mahmoud, 2023. "Foreign exchange hedging using regime-switching models: the case of pound sterling," Bank of England working papers 1042, Bank of England.
    18. Ghoddusi, Hamed & Emamzadehfard, Sahar, 2017. "Optimal hedging in the US natural gas market: The effect of maturity and cointegration," Energy Economics, Elsevier, vol. 63(C), pages 92-105.
    19. Ubukata, Masato, 2018. "Dynamic hedging performance and downside risk: Evidence from Nikkei index futures," International Review of Economics & Finance, Elsevier, vol. 58(C), pages 270-281.
    20. Guo, Zhibo & White, Ben & Mugera, Amin, 2013. "Hedge Effectiveness for Western Australia Crops," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152154, Australian Agricultural and Resource Economics Society.
    21. Lumengo Bonga-Bonga & Ekerete Umoetok, 2016. "The effectiveness of index futures hedging in emerging markets during the crisis period of 2008-2010: Evidence from South Africa," Applied Economics, Taylor & Francis Journals, vol. 48(42), pages 3999-4018, September.
    22. Cuong Nguyen & M. Bhatti & Aziz Hayat, 2014. "Volatility linkages in the spot and futures market in Australia: a copula approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(5), pages 2589-2603, September.
    23. Bessler, Wolfgang & Leonhardt, Alexander & Wolff, Dominik, 2016. "Analyzing hedging strategies for fixed income portfolios: A Bayesian approach for model selection," International Review of Financial Analysis, Elsevier, vol. 46(C), pages 239-256.
    24. Ibhagui, Oyakhilome, 2021. "Stock market and deviations from covered interest parity," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
    25. Hakan Er & Adnan Hushmat, 2017. "The application of technical trading rules developed from spot market prices on futures market prices using CAPM," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 7(3), pages 313-353, December.

  60. Allen, D.E & Yang, W, 2004. "Do UK stock prices deviate from fundamentals?," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 64(3), pages 373-383.

    Cited by:

    1. Farias Nazário, Rodolfo Toríbio & e Silva, Jéssica Lima & Sobreiro, Vinicius Amorim & Kimura, Herbert, 2017. "A literature review of technical analysis on stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 115-126.
    2. Fredj Jawadi & Georges Prat, 2015. "Equity Prices and Fundamentals: a DDM-APT Mixed Approach," Working Papers hal-04141411, HAL.
    3. Narayan, Paresh Kumar, 2006. "The behaviour of US stock prices: Evidence from a threshold autoregressive model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 71(2), pages 103-108.
    4. Rambaccussing, Dooruj, 2010. "A real-time trading rule," MPRA Paper 27148, University Library of Munich, Germany.
    5. Anton Velinov, 2013. "Can Stock Price Fundamentals Properly be Captured?: Using Markov Switching in Heteroskedasticity Models to Test Identification Schemes," Discussion Papers of DIW Berlin 1350, DIW Berlin, German Institute for Economic Research.
    6. Muhammad Ali Nasir & Junjie Wu & Milton Yago & Alaa M. Soliman, 2016. "Macroeconomic policy interaction: State dependency and implications for financial stability in UK: A systemic review," Cogent Business & Management, Taylor & Francis Journals, vol. 3(1), pages 1154283-115, December.
    7. Yi, Ronghua & Chang, Yu-Wei & Xing, Wen & Chen, Jun, 2019. "Comparing relative valuation efficiency between two stock markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 72(C), pages 159-167.
    8. Ma, Jun & Wohar, Mark E., 2014. "Determining what drives stock returns: Proper inference is crucial: Evidence from the UK," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 371-390.
    9. Velinov, Anton, 2016. "On the importance of testing structural identification schemes and the potential consequences of incorrectly identified models," VfS Annual Conference 2016 (Augsburg): Demographic Change 145581, Verein für Socialpolitik / German Economic Association.
    10. Binswanger, Mathias, 2004. "How do stock prices respond to fundamental shocks?," Finance Research Letters, Elsevier, vol. 1(2), pages 90-99, June.
    11. Jean Louis, Rosmy & Eldomiaty, Tarek, 2010. "How do stock prices respond to fundamental shocks in the case of the United States? Evidence from NASDAQ and DJIA," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(3), pages 310-322, August.

  61. Thomas, Lyn C. & Allen, David E. & Morkel-Kingsbury, Nigel, 2002. "A hidden Markov chain model for the term structure of bond credit risk spreads," International Review of Financial Analysis, Elsevier, vol. 11(3), pages 311-329.

    Cited by:

    1. Liu, Wei-han, 2018. "Hidden Markov model analysis of extreme behaviors of foreign exchange rates," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 1007-1019.
    2. Batten, Jonathan & Hogan, Warren, 2002. "A perspective on credit derivatives," International Review of Financial Analysis, Elsevier, vol. 11(3), pages 251-278.
    3. Hong-Ming Yin & Jin Liang & Yuan Wu, 2018. "On a New Corporate Bond Pricing Model with Potential Credit Rating Change and Stochastic Interest Rate," JRFM, MDPI, vol. 11(4), pages 1-12, December.
    4. Tak-Kuen Siu & Wai-Ki Ching & Eric Fung & Michael Ng, 2005. "Extracting Information from Spot Interest Rates and Credit Ratings using Double Higher-Order Hidden Markov Models," Computational Economics, Springer;Society for Computational Economics, vol. 26(3), pages 69-102, November.
    5. Kaveh Bastani & Elham Asgari & Hamed Namavari, 2018. "Wide and Deep Learning for Peer-to-Peer Lending," Papers 1810.03466, arXiv.org, revised Oct 2018.
    6. Hugh Christensen & Simon Godsill & Richard E Turner, 2020. "Hidden Markov Models Applied To Intraday Momentum Trading With Side Information," Papers 2006.08307, arXiv.org.
    7. Areski Cousin & Jérôme Lelong & Tom Picard, 2023. "Rating transitions forecasting: a filtering approach," Post-Print hal-03347521, HAL.
    8. Son-Nan Chen & Pao-Peng Hsu & Chang-Yi Li, 2016. "Pricing credit-risky bonds and spread options modelling credit-spread term structures with two-dimensional Markov-modulated jump-diffusion," Quantitative Finance, Taylor & Francis Journals, vol. 16(4), pages 573-592, April.
    9. David E. Allen & Robert Powell, 2009. "Transitional credit modelling and its relationship to market value at risk: an Australian sectoral perspective," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 49(3), pages 425-444, September.
    10. Liang, Jin & Zhao, Yuejuan & Zhang, Xudan, 2016. "Utility indifference valuation of corporate bond with credit rating migration by structure approach," Economic Modelling, Elsevier, vol. 54(C), pages 339-346.
    11. Areski Cousin & J'er^ome Lelong & Tom Picard, 2021. "Rating transitions forecasting: a filtering approach," Papers 2109.10567, arXiv.org, revised Jun 2023.
    12. Zhehao Huang & Zhenghui Li & Zhenzhen Wang, 2020. "Utility Indifference Valuation for Defaultable Corporate Bond with Credit Rating Migration," Mathematics, MDPI, vol. 8(11), pages 1-26, November.

  62. G. MacDonald & D. Allen & S. Cruickshank, 2002. "Purchasing Power Parity-evidence from a new panel test," Applied Economics, Taylor & Francis Journals, vol. 34(11), pages 1319-1324.

    Cited by:

    1. Bal??zs ??gert, 2005. "Equilibrium Exchange Rates in Southeastern Europe, Russia, Ukraine and Turkey: Healthy or (Dutch) Diseased?," William Davidson Institute Working Papers Series wp770, William Davidson Institute at the University of Michigan.
    2. Balázs Égert, 2012. "Dutch diease in the post-soviet countries of central and south-west Asia: How contagious is it?," Post-Print hal-01385841, HAL.
    3. Égert, Balázs & Leonard, Carol S., 2007. "Dutch desease scare in Kazakhstan: is it real?," BOFIT Discussion Papers 9/2007, Bank of Finland Institute for Emerging Economies (BOFIT).
    4. Levent, Korap, 2009. "Are real exchange rates mean reverting? Evidence from a panel of OECD countries," MPRA Paper 19527, University Library of Munich, Germany.
    5. Balázs Égert, 2009. "Dutch Disease in Former Soviet Union: Witch-Hunting," CASE Network Studies and Analyses 0380, CASE-Center for Social and Economic Research.
    6. Mohsen Bahmani-Oskooee & Tsangyao Chang & Kuei-Chiu Lee, 2016. "Panel asymmetric nonlinear unit root test and PPP in Africa," Applied Economics Letters, Taylor & Francis Journals, vol. 23(8), pages 554-558, May.
    7. Halpern, László & Égert, Balázs & MacDonald, Ronald, 2004. "Equilibrium Exchange Rates in Transition Economies: Taking Stock of the Issues," CEPR Discussion Papers 4809, C.E.P.R. Discussion Papers.
    8. Pui Sun Tam, 2013. "Finite-sample distribution of the augmented Dickey--Fuller test with lag optimization," Applied Economics, Taylor & Francis Journals, vol. 45(24), pages 3495-3511, August.
    9. Ahmad Zubaidi Baharumshah & Evan Lau, 2010. "Mean Reversion Of The Fiscal Conduct In 24 Developing Countries," Manchester School, University of Manchester, vol. 78(4), pages 302-325, July.
    10. Lean Hooi Hooi & Russell Smyth, 2007. "Are Asian real exchange rates mean reverting? Evidence from univariate and panel LM unit root tests with one and two structural breaks," Applied Economics, Taylor & Francis Journals, vol. 39(16), pages 2109-2120.
    11. Poomthan Rangkakulnuwat & Sung Ahn & Holly Wang & Susan He, 2010. "Extended generalized purchasing power parity and optimum currency area in East Asian countries," Applied Economics, Taylor & Francis Journals, vol. 42(4), pages 497-513.
    12. Mamondi Victor Daniel & Oviedo Jorge & De la Rosa Adolfo, 2023. "El-Déficit-Fiscal-Deteriora-el-Tipo-de-Cambio-Real.-Evidencias-por-medio-de-un-modelo-de-EGDE-para-Argentina," Asociación Argentina de Economía Política: Working Papers 4666, Asociación Argentina de Economía Política.
    13. Mohsen Bahmani Oskooee & Magda Kandil, 2007. "Real and nominal effective exchange rates in MENA countries: 1970-2004," Applied Economics, Taylor & Francis Journals, vol. 39(19), pages 2489-2501.

  63. D. E. Allen, 2000. "Spare Debt Capacity: Company Practices in Australia, Britain and Japan," Australian Journal of Management, Australian School of Business, vol. 25(3), pages 299-326, December.

    Cited by:

    1. Bozhechkova Alexandra & Trunin Pavel & Sinelnikova-Muryleva Elena & Petrova Diana & Chentsov Alexander, 2018. "Building of monetary and currency markets models," Research Paper Series, Gaidar Institute for Economic Policy, issue 175P, pages 1-96.
    2. Vivien Beattie & Alan Goodacre & Sarah Jane Thomson, 2006. "Corporate Financing Decisions: UK Survey Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(9‐10), pages 1402-1434, November.
    3. Robert W Faff & Stephen Gray & Kelvin Jui Keng Tan, 2016. "A contemporary view of corporate finance theory, empirical evidence and practice," Australian Journal of Management, Australian School of Business, vol. 41(4), pages 662-686, November.

  64. D. E. Allen & M. L. Tan, 1999. "A Test of the Persistence in the Performance of UK Managed Funds," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 26(5‐6), pages 559-593, June.

    Cited by:

    1. Roberto Casarin & Loriana Pelizzon & Andrea Piva, 2008. "Italian Equity Funds: Efficiency and Performance Persistence," Working Papers 0817, University of Brescia, Department of Economics.
    2. Juan Carlos Matallín-Sáez & Amparo Soler-Domínguez & Emili Tortosa-Ausina, 2014. "On the robustness of persistence in mutual fund performance," Working Papers 2014/01, Economics Department, Universitat Jaume I, Castellón (Spain).
    3. Bialkowski, Jedrzej & Otten, Roger, 2011. "Emerging market mutual fund performance: Evidence for Poland," The North American Journal of Economics and Finance, Elsevier, vol. 22(2), pages 118-130, August.
    4. Zia-ur-Rehman Rao & Tanveer Ahsan & Muhammad Zubair Tauni & Muhammad Umar, 2018. "Performance and Persistence in Performance of Actively Managed Chinese Equity Funds," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 16(3), pages 727-747, September.
    5. Chris Bilson & Angela Frino & Richard Heaney, 2005. "Australian retail fund performance persistence," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 45(1), pages 25-42, March.
    6. Keith Cuthbertson & Dirk Nitzsche & Niall O' Sullivan, 2004. "UK Mutual Fund Performance: Genuine Stock-Picking Ability or Luck," Money Macro and Finance (MMF) Research Group Conference 2004 55, Money Macro and Finance Research Group.
    7. Cuthbertson, Keith & Nitzsche, Dirk & O'Sullivan, Niall, 2008. "UK mutual fund performance: Skill or luck?," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 613-634, September.
    8. Alda, Mercedes & Vicente, Ruth, 2020. "Behavioural analysis of socially responsible investment managers: specialists versus non-specialists," Research in International Business and Finance, Elsevier, vol. 54(C).
    9. Dirk Nitzsche & Keith Cuthbertson & Niall O'Sullivan, 2005. "Mutual Fund Performance: Skill Or Luck?," Money Macro and Finance (MMF) Research Group Conference 2005 4, Money Macro and Finance Research Group.
    10. Gao, Jun & O’Sullivan, Niall & Sherman, Meadhbh, 2017. "Performance persistence in Chinese securities investment funds," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1467-1477.
    11. Bangassa, Kenbata & Su, Chen & Joseph, Nathan L., 2012. "Selectivity and timing performance of UK investment trusts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1149-1175.
    12. Fletcher, Jonathan & Forbes, David, 2002. "An exploration of the persistence of UK unit trust performance," Journal of Empirical Finance, Elsevier, vol. 9(5), pages 475-493, December.
    13. M. Imtiaz Mazumder & Edward M. Miller & Oscar A. Varela, 2010. "Market Timing the Trading of International Mutual Funds: Weekend, Weekday and Serial Correlation Strategies," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 37(7‐8), pages 979-1007, July.

  65. Allen, D. E. & Cleary, F., 1998. "Determinants of the cross-section of stock returns in the Malaysian stock market," International Review of Financial Analysis, Elsevier, vol. 7(3), pages 253-275.

    Cited by:

    1. Abdul Karim, Zulkefly & Zaidi, Mohd Azlan Shah & Karim, Bakri, 2011. "Does Firm-Level Equity Return Respond to Domestic and International Monetary Policy Shocks? A Panel Data Study of Malaysia," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 45, pages 21-31.
    2. Zulkefly Abdul Karim & Mohd Azlan Shah Zaidi, 2015. "Monetary Policy, Firm Size and Equity Returns in An Emerging Market: Panel Evidence of Malaysia," Asian Academy of Management Journal of Accounting and Finance (AAMJAF), Penerbit Universiti Sains Malaysia, vol. 11(2), pages 29-55.
    3. Hassan, Aminu & Ibrahim, Masud Usman & Bala, Ahmed Jinjiri, 2024. "Vulnerability of a developing stock market to openness: One-way return and volatility transmissions," International Review of Financial Analysis, Elsevier, vol. 93(C).
    4. Güler ARAS & İlhan ÇAM & Bilal ZAVALSIZ & Serkan KESKİN, 2018. "Fama-French Çok Faktör Varlık Fiyatlama Modellerinin Performanslarının Karşılaştırılması: Borsa İstanbul Üzerine Bir Uygulama," Istanbul Business Research, Istanbul University Business School, vol. 47(2), pages 183-207, November.
    5. Dar-Hsin Chen & Chun-Da Chen & Su-Chen Wu, 2014. "VaR and the cross-section of expected stock returns: an emerging market evidence," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(3), pages 441-459, June.
    6. Dipesh Karki & Binam Ghimire, 2016. "Explaining Stock Returns in Nepal: Application of Single and Multi-factor models," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 5(3), pages 1-3.

  66. D. E. Allen & Robert Prince, 1995. "The winner/loser hypothesis: some preliminary Australian evidence on the impact of changing risk," Applied Economics Letters, Taylor & Francis Journals, vol. 2(8), pages 280-283.

    Cited by:

    1. Rezvanian Rasoul & Klaczynska Ewelina & Krysiak Zbigniew, 2015. "Equity Market Reaction to Sharp Price Changes: Evidence from Poland," Scientific Annals of Economics and Business, Sciendo, vol. 62(2), pages 169-190, July.
    2. Rezvanian, Rasoul & Turk, Rima A. & Mehdian, Seyed M., 2011. "Investors' reactions to sharp price changes: Evidence from equity markets of the People's Republic of China," Global Finance Journal, Elsevier, vol. 22(1), pages 1-18.
    3. Gunaratne, P. S. M. & Yonesawa, Y., 1997. "Return reversals in the Tokyo Stock Exchange: A test of stock market overreaction," Japan and the World Economy, Elsevier, vol. 9(3), pages 363-384, August.
    4. Philip Gray & Mark Whittaker, 2003. "Future Long‐Horizon Performance Measurement Conditional on Past Survival," International Review of Finance, International Review of Finance Ltd., vol. 4(1‐2), pages 29-48, March.
    5. Gaunt, Clive, 2000. "Overreaction in the Australian equity market: 1974-1997," Pacific-Basin Finance Journal, Elsevier, vol. 8(3-4), pages 375-398, July.

  67. Allen, Dave E. & Sugianto, Richard, 1994. "Australian domestic portfolio diversification and estimation risk: A review of investment strategies," Pacific-Basin Finance Journal, Elsevier, vol. 2(2-3), pages 293-318, May.

    Cited by:

    1. Walsh, David M. & Walsh, Kathleen D. & Evans, John P., 1998. "Assessing estimation error in a tracking error variance minimisation framework," Pacific-Basin Finance Journal, Elsevier, vol. 6(1-2), pages 175-192, May.

  68. D. E. Allen, 1991. "The Determinants of the Capital Structure of Listed Australian Companies: The Financial Manager's Perspective," Australian Journal of Management, Australian School of Business, vol. 16(2), pages 103-128, December.

    Cited by:

    1. Wan Mohd Nazri Wan Daud & Norlia Mat Norwani & Anizawati Ahmad Mansor & Wan Anisah Endut, 2016. "Does Financing Decision Influence Corporate Performance in Malaysia?," International Journal of Economics and Financial Issues, Econjournals, vol. 6(3), pages 1165-1171.
    2. Vivien Beattie & Alan Goodacre & Sarah Jane Thomson, 2006. "Corporate Financing Decisions: UK Survey Evidence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(9‐10), pages 1402-1434, November.
    3. Mei Qiu & Bo La, 2010. "Firm Characteristics as Determinants of Capital Structures in Australia," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 17(3), pages 277-287.
    4. Suhaila, Mat Kila & Wan Mahmood, Wan Mansor, 2008. "Capital Structure and Firm Characteristics: Some Evidence from Malaysian Companies," MPRA Paper 14616, University Library of Munich, Germany.
    5. Robert W Faff & Stephen Gray & Kelvin Jui Keng Tan, 2016. "A contemporary view of corporate finance theory, empirical evidence and practice," Australian Journal of Management, Australian School of Business, vol. 41(4), pages 662-686, November.
    6. Azhagaiah Ramachandran & Veeramuthu Packkirisamy, 2010. "The Impact of Firm Size on Dividend Behaviour: A Study With Reference to Corporate Firms across Industries in India," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 8(1), pages 049-078.
    7. Bayan M Arqawi & William J Bertin & Laurie Prather, 2014. "The impact of product warranties on the capital structure of Australian firms," Australian Journal of Management, Australian School of Business, vol. 39(2), pages 207-225, May.
    8. John Nkwoma Inekwe, 2021. "Global financial networks and entrepreneurship," The World Economy, Wiley Blackwell, vol. 44(5), pages 1261-1280, May.
    9. Samuel Nduati Kariuki & Charles Guandaru Kamau, 2014. "Determinants of Corporate Capital Structure among Private Manufacturing Firms in Kenya: A Survey of Food and Beverage Manufacturing Firms," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(3), pages 49-62, July.
    10. Karen Mills & Steve Morling & Warren Tease, 1993. "Balance Sheet Restructuring and Investment," RBA Research Discussion Papers rdp9308, Reserve Bank of Australia.
    11. Islam, Silvia Z. & Khandaker, Sarod, 2015. "Firm leverage decisions: Does industry matter?," The North American Journal of Economics and Finance, Elsevier, vol. 31(C), pages 94-107.
    12. Geoffrey Shuetrim & Philip Lowe & Steve Morling, 1993. "The Determinants of Corporate Leverage: A Panel Data Analysis," RBA Research Discussion Papers rdp9313, Reserve Bank of Australia.
    13. Oino, Isaiah & Ukaegbu, Ben, 2015. "The impact of profitability on capital structure and speed of adjustment: An empirical examination of selected firms in Nigerian Stock Exchange," Research in International Business and Finance, Elsevier, vol. 35(C), pages 111-121.
    14. Ramachandran Azhagaiah & Candasamy Gavoury, 2011. "The Impact of Capital Structure on Profitability with Special Reference to IT Industry in India vs. Domestic Products," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 9(4 (Winter), pages 371-392.
    15. Andriansyah, Andriansyah, 2009. "The Static Trade-Off against the Pecking Order Hypotheses of Firms’ Capital Structure: A Survey of Testing Methodology and Proxy Variable," MPRA Paper 105411, University Library of Munich, Germany.
    16. Karen Mills & Steven Morling & Warren Tease, 1994. "The Influence of Financial Factors on Corporate Investment," RBA Research Discussion Papers rdp9402, Reserve Bank of Australia.
    17. Shumi Akhtar, 2005. "The Determinants of Capital Structure for Australian Multinational and Domestic Corporations," Australian Journal of Management, Australian School of Business, vol. 30(2), pages 321-341, December.

Chapters

  1. Anna Golab & David E. Allen & Robert Powell, 2015. "Aspects of Volatility and Correlations in European Emerging Economies," Palgrave Macmillan Books, in: Nigel Finch (ed.), Emerging Markets and Sovereign Risk, chapter 4, pages 59-80, Palgrave Macmillan.

    Cited by:

    1. Tihana Škrinjarić, 2021. "Profiting on the Stock Market in Pandemic Times: Study of COVID-19 Effects on CESEE Stock Markets," Mathematics, MDPI, vol. 9(17), pages 1-20, August.
    2. Tihana Škrinjarić & Branka Marasović & Boško Šego, 2021. "Does the Croatian Stock Market Have Seasonal Affective Disorder?," JRFM, MDPI, vol. 14(2), pages 1-16, February.

  2. David E. Allen & Singh Robert Powell, 2011. "Asset Pricing, the Fama—French Factor Model and the Implications of Quantile-Regression Analysis," Palgrave Macmillan Books, in: Greg N. Gregoriou & Razvan Pascalau (ed.), Financial Econometrics Modeling: Market Microstructure, Factor Models and Financial Risk Measures, chapter 7, pages 176-193, Palgrave Macmillan.

    Cited by:

    1. D.E. Allen & Abhay K Singh & R. Powell & Michael McAleer & James Taylor & Lyn Thomas, 2012. "The Volatility-Return Relationship: Insights from Linear and Non-Linear Quantile Regressions," Documentos de Trabajo del ICAE 2012-24, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    2. Wang, Kai Y.K. & Chen, Cathy W.S. & So, Mike K.P., 2023. "Quantile three-factor model with heteroskedasticity, skewness, and leptokurtosis," Computational Statistics & Data Analysis, Elsevier, vol. 182(C).

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