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Robert Simon Hudson

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.

Wikipedia or ReplicationWiki mentions

(Only mentions on Wikipedia that link back to a page on a RePEc service)
  1. J. K. Ashton & B. Gerrard & R. Hudson, 2003. "Economic impact of national sporting success: evidence from the London stock exchange," Applied Economics Letters, Taylor & Francis Journals, vol. 10(12), pages 783-785.

    Mentioned in:

    1. Economic impact of national sporting success: evidence from the London stock exchange (AEL 2003) in ReplicationWiki ()
  2. Viktor Manahov & Robert Hudson, 2013. "New Evidence of Technical Trading Profitability," Economics Bulletin, AccessEcon, vol. 33(4), pages 2493-2503.

    Mentioned in:

    1. Adaptive Modeler in Wikipedia (English)

Working papers

  1. Robert D. J. Anderson & John Ashton & Robert S. Hudson, 2013. "The Influence of Product Age on Pricing Decisions: An examination of bank deposit interest rate setting," Working Papers 13014, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).

    Cited by:

    1. Laser, Falk & Hellwig, Michael, 2019. "Agony of Choice – Trading off Stability and Competition in the Banking Markets," VfS Annual Conference 2019 (Leipzig): 30 Years after the Fall of the Berlin Wall - Democracy and Market Economy 203536, Verein für Socialpolitik / German Economic Association.
    2. Simona Galletta & Sebastiano Mazzù & Valeria Naciti & Carlo Vermiglio, 2021. "Sustainable development and financial institutions: Do banks' environmental policies influence customer deposits?," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 643-656, January.
    3. Hellwig, Michael & Laser, Falk Hendrik, 2019. "Bank Mergers in the Financial Crisis – A Competition Policy Perspective," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 119322, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Dominika Ehrenbergerova & Martin Hodula & Zuzana Rakovska, 2020. "Does Capital-Based Regulation Affect Bank Pricing Policy?," Working Papers 2020/5, Czech National Bank.
    5. Ahmet F. Aysan & Mustafa Disli & Meryem Duygun & Huseyin Ozturk, 2017. "Religiosity Versus Rationality: Depositor Behavior In Islamic And Conventional Banks," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 17/933, Ghent University, Faculty of Economics and Business Administration.
    6. John Ashton & Andros Gregoriou, 2014. "The role of implicit costs and product quality in determining the customer costs of using personal current accounts," Working Papers 14001, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    7. Deuflhard, Florian, 2018. "Quantifying inertia in retail deposit markets," SAFE Working Paper Series 223, Leibniz Institute for Financial Research SAFE.

  2. John Ashton & Robert S. Hudson, 2011. "Should the joint provision of credit insurance with unsecured lending be prohibited? An examination of the UK payment protection insurance market," Working Papers 11008, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).

    Cited by:

    1. Ranyard, Rob & McHugh, Sandie, 2012. "Defusing the risk of borrowing: The psychology of payment protection insurance decisions," Journal of Economic Psychology, Elsevier, vol. 33(4), pages 738-748.

  3. John Ashton & Robert S. Hudson, 2011. "The price, quality and distribution of mortgage payment protection insurance: A hedonic pricing approach," Working Papers 11010, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).

    Cited by:

    1. Lucia Spotorno & Ornella Moro, 2020. "Do bank-affiliated P&C insurers perform better? An empirical investigation," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(2), pages 225-255, April.
    2. Lunn, Pete & McGowan, Féidhlim & Howard, Noel, 2018. "Do some financial product features negatively affect consumer decisions? a review of evidence," Research Series, Economic and Social Research Institute (ESRI), number RS78.

  4. John K. Ashton & Robert Hudson, 2006. "Interest Rate Clustering in UK Financial Services Markets," Working Papers 06-14, Centre for Competition Policy, University of East Anglia.

    Cited by:

    1. Ashton, John K. & Hudson, Robert S., 2008. "Interest rate clustering in UK financial services markets," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1393-1403, July.
    2. Elnaz Bajoori & Shasi Nandeibam & Sajid Mukhtar Chaudhry, 2016. "Clustered Pricing in the Corporate Loan Market: Theory and Empirical Evidence," Department of Economics Working Papers 57/17, University of Bath, Department of Economics.
    3. Liu, Jinzhao & Gao, Shenghao & Zhou, Jun, 2019. "Clustering and discounting in auction-style SEOs – Evidence from China," Pacific-Basin Finance Journal, Elsevier, vol. 57(C).
    4. Aerts, Walter & Campenhout, Geert Van & Caneghem, Tom Van, 2008. "Clustering in dividends: Do managers rely on cognitive reference points?," Journal of Economic Psychology, Elsevier, vol. 29(3), pages 276-284, June.
    5. John Ashton & Robert S. Hudson, 2011. "Should the joint provision of credit insurance with unsecured lending be prohibited? An examination of the UK payment protection insurance market," Working Papers 11008, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    6. Anderson, Robert D.J. & Ashton, John K. & Hudson, Robert S., 2014. "The influence of product age on pricing decisions: An examination of bank deposit interest rate setting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 216-230.
    7. John K. Ashton, 2012. "Do Depositors Benefit from Bank Mergers? An Examination of the UK Deposit Market," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 19(1), pages 1-23, February.
    8. Jeon, Jin Q. & Lee, Cheolwoo, 2015. "A new measure for heated negotiation in the IPO syndicate," The North American Journal of Economics and Finance, Elsevier, vol. 33(C), pages 278-304.
    9. John Ashton & Khac Pham, 2007. "Efficiency and Price Effects of Horizontal Bank Mergers," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2007-09, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    10. Abrantes-Metz, Rosa M. & Kraten, Michael & Metz, Albert D. & Seow, Gim S., 2012. "Libor manipulation?," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 136-150.
    11. Florian El Mouaaouy, 2018. "Financial crime ‘hot spots’ – empirical evidence from the foreign exchange market," The European Journal of Finance, Taylor & Francis Journals, vol. 24(7-8), pages 565-583, May.
    12. Theoharry Grammatikos & Nikolaos I. Papanikolaou, 2021. "Applying Benford’s Law to Detect Accounting Data Manipulation in the Banking Industry," Journal of Financial Services Research, Springer;Western Finance Association, vol. 59(1), pages 115-142, April.
    13. John Ashton & Andros Gregoriou & Jerome V. Healy, 2013. "The relative influence of price and choice factors on retail deposit quantities," Working Papers 13006, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    14. John Ashton & Andros Gregoriou, 2012. "The Influence of Banking Centralisation on Depositors: Regional Heterogeneities in the Transmission of Monetary Policy," Working Papers 12005, Bangor Business School, Prifysgol Bangor University (Cymru / Wales).
    15. Chaudhry, Sajid M. & Bajoori, Elnaz & Nandeibam, Shasi, 2019. "Clustered pricing in the corporate loan market: Theory and empirical evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 157(C), pages 275-296.
    16. Kleimeier, S. & Chaudhry, S.M., 2013. "Negotiation and the clustering of corporate loan spreads," Research Memorandum 012, Maastricht University, Graduate School of Business and Economics (GSBE).
    17. Anna Sławik & Joanna Bohatkiewicz-Czaicka, 2022. "Financial Innovation of Mass Destruction—The Story of a Countrywide FX Options Debacle," Risks, MDPI, vol. 10(2), pages 1-17, January.

Articles

  1. Rodgers, Waymond & Hudson, Robert & Economou, Fotini, 2023. "Modelling credit and investment decisions based on AI algorithmic behavioral pathways," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

    Cited by:

    1. Sun, Weixin & Zhang, Xuantao & Li, Minghao & Wang, Yong, 2023. "Interpretable high-stakes decision support system for credit default forecasting," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    2. Chi, Guotai & Dong, Bingjie & Zhou, Ying & Jin, Peng, 2024. "Long-horizon predictions of credit default with inconsistent customers," Technological Forecasting and Social Change, Elsevier, vol. 198(C).

  2. Thi Tuyet Dao, Nhung & Guney, Yilmaz & Hudson, Robert, 2023. "Managerial overconfidence and corporate cash holdings: Evidence from primary and secondary data," Research in International Business and Finance, Elsevier, vol. 65(C).

    Cited by:

    1. Han, Huanfa & Liu, Cuiping & Li, Jing, 2024. "Managerial overconfidence and stock price crash risk," Finance Research Letters, Elsevier, vol. 65(C).
    2. Zhu, Changchun & Li, Na & Ma, Jing, 2024. "Impact of CEO overconfidence on enterprise digital transformation: Moderating effect based on digital finance," Finance Research Letters, Elsevier, vol. 59(C).
    3. Bouteska, Ahmed & Harasheh, Murad & Abedin, Mohammad Zoynul, 2023. "Revisiting overconfidence in investment decision-making: Further evidence from the U.S. market," Research in International Business and Finance, Elsevier, vol. 66(C).

  3. Tosun, Onur Kemel & El Kalak, Izidin & Hudson, Robert, 2022. "How female directors help firms to attain optimal cash holdings," International Review of Financial Analysis, Elsevier, vol. 80(C).

    Cited by:

    1. Chu, Shaner, 2024. "Are women greener? Board gender diversity and corporate green technology innovation in China," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1001-1020.
    2. Riefler, Raul & Tosun, Onur Kemal & Baeckström, Ylva, 2023. "The role of gender in sales behaviour: Evidence from institutional financial brokerage," Finance Research Letters, Elsevier, vol. 55(PA).
    3. Dana Hassan & Majd Iskandrani & Hadeel Yaseen & Mohammad AlMaharmeh, 2024. "Board Composition and Cash Hoarding: Evidence from Jordanian Small- and Medium-Sized Enterprises," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 13, January.
    4. Yang, Hanping & Xue, Kunkun, 2023. "Board diversity and the marginal value of corporate cash holdings," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    5. Ebaya, Ahmad & Qin, Xuezhi & Elsayed, Mohamed, 2024. "Female board members, financial constraints, and internal control quality: New insights following COSO's 2013 framework," Economics Letters, Elsevier, vol. 234(C).
    6. Ahmed, Mohamed Shaker & Kumar, Satish & Gupta, Prashant & Bamel, Nisha, 2024. "CEO media coverage and cash holdings," International Review of Financial Analysis, Elsevier, vol. 91(C).
    7. Huizheng Liu & Jiaqi Zhou, 2022. "Do Female CFOs Reduce Disclosure Violations in Listed Companies? Empirical evidence from China's capital market," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 12(3), pages 1-6.
    8. Li, Mengzhe & Lan, Fei, 2022. "Former CEO directors and cash holdings," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 320-334.
    9. Wang, Zhenjie & Yang, Yi & Zhang, Jiewei, 2024. "Are female directors more inclined to avoid risks?," International Review of Financial Analysis, Elsevier, vol. 92(C).

  4. Hudson, Robert & Urquhart, Andrew, 2022. "Naval disasters, world war two and the British stock market," Research in International Business and Finance, Elsevier, vol. 59(C).

    Cited by:

    1. Umar, Zaghum & Bossman, Ahmed & Choi, Sun-Yong & Vo, Xuan Vinh, 2023. "Are short stocks susceptible to geopolitical shocks? Time-Frequency evidence from the Russian-Ukrainian conflict," Finance Research Letters, Elsevier, vol. 52(C).
    2. Basnet, Anup & Blomkvist, Magnus & Galariotis, Emilios, 2022. "The role of ESG in the decision to stay or leave the market of an invading country: The case of Russia," Economics Letters, Elsevier, vol. 216(C).
    3. Whelsy BOUNGOU & Alhonita YATIE, 2022. "The impact of the Ukraine-Russia war on world stock market returns," Bordeaux Economics Working Papers 2022-06, Bordeaux School of Economics (BSE).
    4. Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Yousaf, Imran & Kumar Tiwari, Aviral & Li, Yanshuang, 2024. "Economic sanctions sentiment and global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    5. Bijoy Chandra Das & Fakhrul Hasan & Soma Rani Sutradhar & Sujana Shafique, 2023. "Ukraine–Russia Conflict and Stock Markets Reactions in Europe," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 395-407, September.
    6. Anup Basnet & Emilios Galariotis & Magnus Blomkvist, 2022. "The role of ESG in the decision to stay or leave the market of an invading country: The case of Russia," Post-Print hal-03689077, HAL.
    7. Pandey, Dharen Kumar & Lucey, Brian M. & Kumar, Satish, 2023. "Border disputes, conflicts, war, and financial markets research: A systematic review," Research in International Business and Finance, Elsevier, vol. 65(C).
    8. Madhusmita Bhadra & M. Junaid Gul & Gyu Sang Choi, 2023. "Implications of war on the food, beverage, and tobacco industry in South Korea," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-8, December.
    9. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "Trade matters except to war neighbors: The international stock market reaction to 2022 Russia’s invasion of Ukraine," Research in International Business and Finance, Elsevier, vol. 65(C).
    10. Chortane, Sana Gaied & Pandey, Dharen Kumar, 2022. "Does the Russia-Ukraine war lead to currency asymmetries? A US dollar tale," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    11. Yousaf, Imran & Patel, Ritesh & Yarovaya, Larisa, 2022. "The reaction of G20+ stock markets to the Russia–Ukraine conflict “black-swan” event: Evidence from event study approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).

  5. Shima Amini & Robert Hudson & Andrew Urquhart & Jian Wang, 2021. "Nonlinearity everywhere: implications for empirical finance, technical analysis and value at risk," The European Journal of Finance, Taylor & Francis Journals, vol. 27(13), pages 1326-1349, September.

    Cited by:

    1. Vásquez Sáenz, Javier & Quiroga, Facundo Manuel & Bariviera, Aurelio F., 2023. "Data vs. information: Using clustering techniques to enhance stock returns forecasting," International Review of Financial Analysis, Elsevier, vol. 88(C).

  6. Wang, Andong & Hudson, Robert & Rhodes, Mark & Zhang, Sijia & Gregoriou, Andros, 2021. "Stock liquidity and return distribution: Evidence from the London Stock Exchange," Finance Research Letters, Elsevier, vol. 39(C).

    Cited by:

    1. He, Xiqiong & Gu, Xiang & Liu, Hao, 2023. "Stock liquidity and controlling shareholders' encroachment of private interests: Evidence from China," Finance Research Letters, Elsevier, vol. 56(C).
    2. Gofran, Ruhana Zareen & Gregoriou, Andros & Haar, Lawrence, 2022. "Impact of Coronavirus on liquidity in financial markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 78(C).
    3. Liu, Yiye & Han, Liyan & Wu, You, 2022. "Can skewness predict CNY-CNH spread?," Finance Research Letters, Elsevier, vol. 46(PB).

  7. Gregoriou, Andros & Nguyen, Binh Duy & Nguyen, Tung Duy & Le, Huong & Hudson, Robert, 2021. "Economic policy uncertainty and cross-border mergers and acquisitions," International Review of Financial Analysis, Elsevier, vol. 78(C).

    Cited by:

    1. Peng, Donghui & Ye, Ying & Chen, Qionghao, 2024. "Impact of cross-border capital flows on foreign exchange market stability," Finance Research Letters, Elsevier, vol. 62(PA).
    2. Si, Deng-Kui & Wan, Shen & Li, Xiao-Lin & Kong, Dongmin, 2022. "Economic policy uncertainty and shadow banking: Firm-level evidence from China," Research in International Business and Finance, Elsevier, vol. 63(C).
    3. Arman Gülnur & Nikolaos Antypas, 2023. "Favourable funding conditions: friend or foe of shipping M&As?," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(4), pages 728-754, December.

  8. Robert Hudson & Andrew Urquhart, 2021. "Technical trading and cryptocurrencies," Annals of Operations Research, Springer, vol. 297(1), pages 191-220, February.

    Cited by:

    1. Li, Yi & Lucey, Brian & Urquhart, Andrew, 2023. "Can altcoins act as hedges or safe-havens for Bitcoin?," Finance Research Letters, Elsevier, vol. 52(C).
    2. Christian Fieberg & Gerrit Liedtke & Daniel Metko & Adam Zaremba, 2023. "Cryptocurrency factor momentum," Quantitative Finance, Taylor & Francis Journals, vol. 23(12), pages 1853-1869, November.
    3. Day, Min-Yuh & Ni, Yensen, 2023. "Do clean energy indices outperform using contrarian strategies based on contrarian trading rules?," Energy, Elsevier, vol. 272(C).
    4. Erdinc Akyildirim & Aurelio F. Bariviera & Duc Khuong Nguyen & Ahmet Sensoy, 2022. "Forecasting high-frequency stock returns: a comparison of alternative methods," Annals of Operations Research, Springer, vol. 313(2), pages 639-690, June.
    5. Yuzhi Cai & Thanaset Chevapatrakul & Danilo V. Mascia, 2021. "How is price explosivity triggered in the cryptocurrency markets?," Annals of Operations Research, Springer, vol. 307(1), pages 37-51, December.
    6. Julien Chevallier & Dominique Guégan & Stéphane Goutte, 2021. "Is It Possible to Forecast the Price of Bitcoin?," Post-Print halshs-04250269, HAL.
    7. Nuray Tosunoğlu & Hilal Abacı & Gizem Ateş & Neslihan Saygılı Akkaya, 2023. "Artificial neural network analysis of the day of the week anomaly in cryptocurrencies," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-24, December.
    8. Meyer, Eva Andrea & Welpe, Isabell M. & Sandner, Philipp, 2024. "Testing the credibility of crypto influencers: An event study on Bitcoin," Finance Research Letters, Elsevier, vol. 60(C).
    9. Andrey Shternshis & Stefano Marmi, 2023. "Price predictability at ultra-high frequency: Entropy-based randomness test," Papers 2312.16637, arXiv.org, revised May 2024.
    10. Kevin Rink, 2023. "The predictive ability of technical trading rules: an empirical analysis of developed and emerging equity markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(4), pages 403-456, December.
    11. Gong, Xue & Ye, Xin & Zhang, Weiguo & Zhang, Yue, 2023. "Predicting energy futures high-frequency volatility using technical indicators: The role of interaction," Energy Economics, Elsevier, vol. 119(C).
    12. Łęt Blanka & Sobański Konrad & Świder Wojciech & Włosik Katarzyna, 2022. "Is the cryptocurrency market efficient? Evidence from an analysis of fundamental factors for Bitcoin and Ethereum," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 58(4), pages 351-370, December.
    13. Deprez, Niek & Frömmel, Michael, 2024. "Are simple technical trading rules profitable in bitcoin markets?," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 858-874.
    14. Li, Yi & Urquhart, Andrew & Wang, Pengfei & Zhang, Wei, 2021. "MAX momentum in cryptocurrency markets," International Review of Financial Analysis, Elsevier, vol. 77(C).
    15. Jiqian Wang & Feng Ma & Elie Bouri & Yangli Guo, 2023. "Which factors drive Bitcoin volatility: Macroeconomic, technical, or both?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(4), pages 970-988, July.

  9. Hudson, Robert & Urquhart, Andrew & Zhang, Hanxiong, 2020. "Political uncertainty and sentiment: Evidence from the impact of Brexit on financial markets," European Economic Review, Elsevier, vol. 129(C).

    Cited by:

    1. Gao, Zhenbin & Zhang, Jie, 2023. "The fluctuation correlation between investor sentiment and stock index using VMD-LSTM: Evidence from China stock market," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    2. Alexander Koch & Toan Luu Duc Huynh & Mei Wang, 2024. "News sentiment and international equity markets during BREXIT period: A textual and connectedness analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 5-34, January.
    3. Michele Costola & Matteo Iacopini & Casper Wichers, 2023. "Bayesian SAR model with stochastic volatility and multiple time-varying weights," Papers 2310.17473, arXiv.org.
    4. Martin Geiger & Jochen Güntner, 2022. "The Chronology of Brexit and UK Monetary Policy," Economics working papers 2022-06, Department of Economics, Johannes Kepler University Linz, Austria.
    5. Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2024. "Google search trends and stock markets: Sentiment, attention or uncertainty?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    6. Cheng, Maoyong & Geng, Hongyan, 2021. "Do local firms employ political activities to respond to political uncertainty?," Journal of Asian Economics, Elsevier, vol. 73(C).
    7. Drinkwater, Stephen & Blackaby, David H. & Robinson, Catherine, 2024. "What Mattered Most in the Brexit Vote? Evidence from Detailed Regression and Decomposition Analysis," IZA Discussion Papers 16841, Institute of Labor Economics (IZA).
    8. Costola, Michele & Iacopini, Matteo & Wichers, Casper, 2023. "Bayesian SAR model with stochastic volatility and multiple time-varying weights," SAFE Working Paper Series 407, Leibniz Institute for Financial Research SAFE.

  10. Robert Hudson & Yaz Gulnur Muradoglu, 2020. "Personal routes into behavioural finance," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 12(1), pages 1-9, May.

    Cited by:

    1. Simona Galletta & Sebastiano Mazzù & Valeria Naciti & Carlo Vermiglio, 2021. "Sustainable development and financial institutions: Do banks' environmental policies influence customer deposits?," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 643-656, January.
    2. Bruno Nogueira Silva & Wesley Vieira Silva & Alvaro Fabiano Pereira Macêdo & Natallya Almeida Levino & Luciano Luiz Dalazen & Fabíola Kaczam & Claudimar Pereira Veiga, 2024. "A systematic review on social currency: a one-decade perspective," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(2), pages 636-652, June.

  11. Yang, Yunlin & Gebka, Bartosz & Hudson, Robert, 2019. "Momentum effects in China: A review of the literature and an empirical explanation of prevailing controversies," Research in International Business and Finance, Elsevier, vol. 47(C), pages 78-101.

    Cited by:

    1. Zhang, Zhehao & Xing, Ruina & Liu, Jiajun & Shao, Yifei, 2023. "Correlation-based investment strategies: A comparison between Chinese and US stock markets," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    2. Simarjeet Singh & Nidhi Walia, 2022. "Momentum investing: a systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 72(1), pages 87-113, February.
    3. Yin, Libo & Wei, Ya & Han, Liyan, 2020. "Firms' profit instability and the cross-section of stock returns: Evidence from China," Research in International Business and Finance, Elsevier, vol. 53(C).
    4. Wang, Nianling & Zhang, Mingzhi & Zhang, Yuan, 2024. "Return prediction: A tree-based conditional sort approach with firm characteristics," Finance Research Letters, Elsevier, vol. 60(C).
    5. Liu, Chenye & Wu, Ying & Zhu, Dongming, 2022. "Price overreaction to up-limit events and revised momentum strategies in the Chinese stock market," Economic Modelling, Elsevier, vol. 114(C).
    6. Li, Bo & Liu, Zhenya & Teka, Hanen & Wang, Shixuan, 2023. "The evolvement of momentum effects in China: Evidence from functional data analysis," Research in International Business and Finance, Elsevier, vol. 64(C).
    7. Yin, Libo & Yang, Zhichen, 2022. "The profitability effect: Insight from a dynamic perspective," International Review of Financial Analysis, Elsevier, vol. 80(C).
    8. Zhang, Wei & Wang, Pengfei & Li, Yi, 2020. "Intraday momentum in Chinese commodity futures markets," Research in International Business and Finance, Elsevier, vol. 54(C).
    9. Xiong, Tao & Wang, Peng, 2023. "Institutional ownership and momentum in the Chinese A-share market," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).

  12. Viktor Manahov & Robert Hudson & Andrew Urquhart, 2019. "High‐frequency trading from an evolutionary perspective: Financial markets as adaptive systems," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 24(2), pages 943-962, April.

    Cited by:

    1. Adrian Zoicas‐Ienciu, 2021. "Evaluating active investing with generic trading reactions," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1018-1036, January.
    2. Gianluca P. M. Virgilio & Manuel Ernesto Paz López, 2024. "Revisiting noise—Fischer Black’s noise at the time of high-frequency trading," Risk Management, Palgrave Macmillan, vol. 26(4), pages 1-22, December.

  13. Hudson, Robert & McGroarty, Frank & Urquhart, Andrew, 2017. "Sampling frequency and the performance of different types of technical trading rules," Finance Research Letters, Elsevier, vol. 22(C), pages 136-139.

    Cited by:

    1. Chang, C-L. & Ilomäki, J. & Laurila, H. & McAleer, M.J., 2018. "Long Run Returns Predictability and Volatility with Moving Averages," Econometric Institute Research Papers EI2018-39, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Batten, Jonathan A. & Lucey, Brian M. & McGroarty, Frank & Peat, Maurice & Urquhart, Andrew, 2018. "Does intraday technical trading have predictive power in precious metal markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 102-113.
    3. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Moving Average Market Timing in European Energy Markets: Production Versus Emissions," Energies, MDPI, vol. 11(12), pages 1-24, November.
    4. Chia-Lin Chang & Jukka Ilomäki & Hannu Laurila & Michael McAleer, 2018. "Market Timing with Moving Averages for Fossil Fuel and Renewable Energy Stocks," Documentos de Trabajo del ICAE 2018-24, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    5. Condorelli, Stefano, 2018. "Price momentum and the 1719-20 bubbles: A method to compare and interpret booms and crashes in asset markets," MPRA Paper 89888, University Library of Munich, Germany.
    6. Xiaoye Jin, 2022. "Evaluating the predictive power of intraday technical trading in China's crude oil market," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(7), pages 1416-1432, November.
    7. Jin, Xiaoye, 2022. "Performance of intraday technical trading in China’s gold market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 76(C).
    8. Robert Hudson & Andrew Urquhart, 2021. "Technical trading and cryptocurrencies," Annals of Operations Research, Springer, vol. 297(1), pages 191-220, February.

  14. Kalak, Izidin El & Azevedo, Alcino & Hudson, Robert & Karim, Mohamad Abd, 2017. "Stock liquidity and SMEs’ likelihood of bankruptcy: Evidence from the US market," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1383-1393.

    Cited by:

    1. Carpentier, Cécile & Suret, Jean-Marc, 2019. "On the performance of a stepping-stone market," Research in International Business and Finance, Elsevier, vol. 50(C), pages 226-239.
    2. Yuan, Kunpeng & Chi, Guotai & Zhou, Ying & Yin, Hailei, 2022. "A novel two-stage hybrid default prediction model with k-means clustering and support vector domain description," Research in International Business and Finance, Elsevier, vol. 59(C).
    3. Díaz, Antonio & Escribano, Ana, 2020. "Measuring the multi-faceted dimension of liquidity in financial markets: A literature review," Research in International Business and Finance, Elsevier, vol. 51(C).

  15. Ashton, John K. & Hudson, Robert S., 2017. "The price, quality and distribution of mortgage payment protection insurance: A hedonic pricing approach," The British Accounting Review, Elsevier, vol. 49(2), pages 242-255.
    See citations under working paper version above.
  16. Hanxiong Zhang & Robert Hudson & Hugh Metcalf & Viktor Manahov, 2017. "Investigation of institutional changes in the UK housing market using structural break tests and time-varying parameter models," Empirical Economics, Springer, vol. 53(2), pages 617-640, September.

    Cited by:

    1. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2023. "U.S. House Prices by Census Division: Persistence, Trends and Structural Breaks," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 29(1), pages 79-90, May.
    2. Paraskevi Katsiampa & Kyriaki Begiazi, 2019. "An empirical analysis of the Scottish housing market by property type," Scottish Journal of Political Economy, Scottish Economic Society, vol. 66(4), pages 559-583, September.
    3. Hettihewa, Samanthala & Saha, Shrabani & Zhang, Hanxiong, 2018. "Does an aging population influence stock markets? Evidence from New Zealand," Economic Modelling, Elsevier, vol. 75(C), pages 142-158.
    4. Giorgio Canarella & Luis A. Gil-Alana & Rangan Gupta & Stephen M. Miller, 2018. "Persistence and Cyclical Dynamics of US and UK House Prices: Evidence from Over 150 Years of Data," Working Papers 201838, University of Pretoria, Department of Economics.
    5. Floro, Danvee, 2019. "Testing the predictive ability of house price bubbles for macroeconomic performance: A meta-analytic approach," International Review of Financial Analysis, Elsevier, vol. 62(C), pages 164-181.
    6. Guglielmo Maria Caporale & Luis Alberiko Gil-Alana, 2023. "Long-Run Trends and Cycles in US House Prices," CESifo Working Paper Series 10751, CESifo.

  17. El Kalak, Izidin & Azevedo, Alcino & Hudson, Robert, 2016. "Reviewing the hedge funds literature I: Hedge funds and hedge funds' managerial characteristics," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 85-97.

    Cited by:

    1. Li, Chenlu & Li, Baibing & Tee, Kai-Hong, 2020. "Are hedge funds active market liquidity timers?," International Review of Financial Analysis, Elsevier, vol. 67(C).
    2. Canepa, Alessandra & de la O. González, María & Skinner, Frank S., 2020. "Hedge fund strategies: A non-parametric analysis," International Review of Financial Analysis, Elsevier, vol. 67(C).
    3. Wang, Yang & Ashton, John K. & Jaafar, Aziz, 2019. "Does mutual fund investment influence accounting fraud?," Emerging Markets Review, Elsevier, vol. 38(C), pages 142-158.
    4. Asif, Raheel & Frömmel, Michael & Mende, Alexander, 2022. "The crisis alpha of managed futures: Myth or reality?," International Review of Financial Analysis, Elsevier, vol. 80(C).

  18. El Kalak, Izidin & Azevedo, Alcino & Hudson, Robert, 2016. "Reviewing the hedge funds literature II: Hedge funds' returns and risk management characteristics," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 55-66.

    Cited by:

    1. Kooli, Maher & Stetsyuk, Ivan, 2021. "Are hedge fund managers skilled?," Global Finance Journal, Elsevier, vol. 49(C).
    2. Li, Chenlu & Li, Baibing & Tee, Kai-Hong, 2020. "Are hedge funds active market liquidity timers?," International Review of Financial Analysis, Elsevier, vol. 67(C).
    3. Kristiaan Kerstens & Paolo Mazza & Tiantian Ren & Ignace van de Woestyne, 2022. "Multi-Time and Multi-Moment Nonparametric Frontier-Based Fund Rating: Proposal and Buy-and-Hold Backtesting Strategy," Post-Print hal-03833261, HAL.
    4. Canepa, Alessandra & de la O. González, María & Skinner, Frank S., 2020. "Hedge fund strategies: A non-parametric analysis," International Review of Financial Analysis, Elsevier, vol. 67(C).
    5. Wang, Yang & Ashton, John K. & Jaafar, Aziz, 2019. "Does mutual fund investment influence accounting fraud?," Emerging Markets Review, Elsevier, vol. 38(C), pages 142-158.
    6. Asif, Raheel & Frömmel, Michael & Mende, Alexander, 2022. "The crisis alpha of managed futures: Myth or reality?," International Review of Financial Analysis, Elsevier, vol. 80(C).
    7. Puneet Prakash & Vikas Sangwan & Kewal Singh, 2021. "Transformational Approach to Analytical Value-at-Risk for near Normal Distributions," JRFM, MDPI, vol. 14(2), pages 1-19, January.

  19. Urquhart, Andrew & Hudson, Robert, 2016. "Investor sentiment and local bias in extreme circumstances: The case of the Blitz," Research in International Business and Finance, Elsevier, vol. 36(C), pages 340-350.

    Cited by:

    1. Hanedar, Avni Önder & Hanedar, Elmas Yaldız, 2017. "Ottoman stock returns during the Turco-Italian and Balkan Wars of 1910-1914," eabh Papers 17-02, The European Association for Banking and Financial History (EABH).
    2. Hudson, Robert & Urquhart, Andrew, 2022. "Naval disasters, world war two and the British stock market," Research in International Business and Finance, Elsevier, vol. 59(C).
    3. Hanedar, Avni Önder & Yaldız Hanedar, Elmas, 2017. "Stock market reactions to wars and political risks: A cliometric perspective for a falling empire," MPRA Paper 85600, University Library of Munich, Germany, revised 25 Mar 2018.
    4. Antonakakis, Nikolaos & Gupta, Rangan & Kollias, Christos & Papadamou, Stephanos, 2017. "Geopolitical risks and the oil-stock nexus over 1899–2016," Finance Research Letters, Elsevier, vol. 23(C), pages 165-173.

  20. Alena Audzeyeva & Robert Hudson, 2016. "How to get the most from a business intelligence application during the post implementation phase? Deep structure transformation at a U.K. retail bank," European Journal of Information Systems, Taylor & Francis Journals, vol. 25(1), pages 29-46, January.

    Cited by:

    1. Irawan Nurhas & Stefan Geisler & Jan Pawlowski, 2022. "An intergenerational competency framework: Competencies for knowledge sustainability and start‐up development in the digital age," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1733-1748, December.

  21. El Kalak, Izidin & Hudson, Robert, 2016. "The effect of size on the failure probabilities of SMEs: An empirical study on the US market using discrete hazard model," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 135-145.

    Cited by:

    1. Modina, Michele & Pietrovito, Filomena & Gallucci, Carmen & Formisano, Vincenzo, 2023. "Predicting SMEs’ default risk: Evidence from bank-firm relationship data," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 254-268.
    2. Francesco Ciampi & Alessandro Giannozzi & Giacomo Marzi & Edward I. Altman, 2021. "Rethinking SME default prediction: a systematic literature review and future perspectives," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(3), pages 2141-2188, March.
    3. Aneta Ptak-Chmielewska, 2019. "Predicting Micro-Enterprise Failures Using Data Mining Techniques," JRFM, MDPI, vol. 12(1), pages 1-17, February.
    4. Stefan Szymanski, 2017. "Entry into exit: insolvency in English professional football," Scottish Journal of Political Economy, Scottish Economic Society, vol. 64(4), pages 419-444, September.
    5. David Alaminos & Agustín del Castillo & Manuel Ángel Fernández, 2016. "A Global Model for Bankruptcy Prediction," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-18, November.
    6. Wei Yu & Huiqin Huang & Xinyan Kong & Keying Zhu, 2023. "Can Digital Inclusive Finance Improve the Financial Performance of SMEs?," Sustainability, MDPI, vol. 15(3), pages 1-16, January.
    7. Kalak, Izidin El & Azevedo, Alcino & Hudson, Robert & Karim, Mohamad Abd, 2017. "Stock liquidity and SMEs’ likelihood of bankruptcy: Evidence from the US market," Research in International Business and Finance, Elsevier, vol. 42(C), pages 1383-1393.
    8. David Veganzones, 2022. "Corporate failure prediction using threshold‐based models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 956-979, August.
    9. Min Bai & Samir Harith, 2023. "Measuring SMEs Risk – Evidence from Malaysia," SN Business & Economics, Springer, vol. 3(7), pages 1-32, July.
    10. Antonio Fabio Forgione & Carlo Migliardo, 2019. "An empirical analysis of the impact of trade credit on bank debt restructuring," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(2), pages 415-438, July.
    11. Rémi Stellian & Gabriel I. Penagos & Jenny P. Danna-Buitrago, 2021. "Firms in financial distress: evidence from inter-firm payment networks with volatility driven by ‘animal spirits’," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 16(1), pages 59-101, January.
    12. Tingqiang Chen & Suyang Wang, 2023. "Incomplete information model of credit default of micro and small enterprises," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2956-2974, July.
    13. Zakia Jabeen & Jabir Ali & Nadia Yusuf, 2021. "Difference in business obstacles faced by firms across sizes: evidence from enterprise survey data of India," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 11(1), pages 71-81, December.
    14. Naradda Gamage, Sisira Kumara & Ekanayake, EMS & Abeyrathne, GAKNJ & Prasanna, RPIR & Jayasundara, JMSB & Rajapakshe, PSK, 2019. "Global Challenges and Survival Strategies of the SMEs in the Era of Economic Globalization: A Systematic Review," MPRA Paper 98419, University Library of Munich, Germany.
    15. Christophe Schalck & Meryem Yankol-Schalck, 2021. "Predicting French SME failures: new evidence from machine learning techniques," Applied Economics, Taylor & Francis Journals, vol. 53(51), pages 5948-5963, November.
    16. Carmen Gallucci & Rosalia Santullli & Michele Modina & Vincenzo Formisano, 2023. "Financial ratios, corporate governance and bank-firm information: a Bayesian approach to predict SMEs’ default," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(3), pages 873-892, September.
    17. Lisa Crosato & Caterina Liberati & Marco Repetto, 2021. "Look Who's Talking: Interpretable Machine Learning for Assessing Italian SMEs Credit Default," Papers 2108.13914, arXiv.org, revised Sep 2021.
    18. Edmundo Escrivão Filho & Alexandre Farias Albuquerque & Marcelo Seido Nagano & Luiz Adalberto Philippsen Junior & Jair de Oliveira, 2017. "Identifying SME mortality factors in the life cycle stages: an empirical approach of relevant factors for small business owner-managers in Brazil," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 7(1), pages 1-15, December.
    19. Iwanicz-Drozdowska, Małgorzata & Jackowicz, Krzysztof & Kozłowski, Łukasz, 2018. "SMEs' near-death experiences. Do local banks extend a helping hand?," Emerging Markets Review, Elsevier, vol. 37(C), pages 47-65.
    20. Rémi Stellian & Jenny P. Danna‐Buitrago, 2020. "Financial distress, free cash flow, and interfirm payment network: Evidence from an agent‐based model," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 25(4), pages 598-616, October.
    21. Michal Karas & Mária Režòáková, 2021. "The role of financial constraint factors in predicting SME default," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(4), pages 859-883, December.

  22. Duxbury, Darren & Hudson, Robert & Keasey, Kevin & Yang, Zhishu & Yao, Songyao, 2015. "Do the disposition and house money effects coexist? A reconciliation of two behavioral biases using individual investor-level data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 55-68.

    Cited by:

    1. Deaves, Richard & Kluger, Brian & Miele, Jennifer, 2018. "An exploratory experimental analysis of path-dependent investment behaviors," Journal of Economic Psychology, Elsevier, vol. 67(C), pages 47-65.
    2. Gutiérrez-Nieto, Begoña & Ortiz, Cristina & Vicente, Luis, 2023. "A bibliometric analysis of the disposition effect: Origins and future research avenues," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    3. Dierick, Nicolas & Heyman, Dries & Inghelbrecht, Koen & Stieperaere, Hannes, 2019. "Financial attention and the disposition effect," Journal of Economic Behavior & Organization, Elsevier, vol. 163(C), pages 190-217.
    4. Darren Duxbury & Robert Hudson & Kevin Keasey & Zhishu Yang & Songyao Yao, 2013. "How prior realized outcomes affect portfolio decisions," Review of Quantitative Finance and Accounting, Springer, vol. 41(4), pages 611-629, November.
    5. Noman, Abdullah & Naka, Atsuyuki & Zirek, Duygu, 2017. "Examining return predictability of industry style portfolios with prior return relative to a benchmark," The Quarterly Review of Economics and Finance, Elsevier, vol. 63(C), pages 193-203.
    6. Beatrice Boumda & Darren Duxbury & Cristina Ortiz & Luis Vicente, 2021. "Do Socially Responsible Investment Funds Sell Losses and Ride Gains? The Disposition Effect in SRI Funds," Sustainability, MDPI, vol. 13(15), pages 1-14, July.
    7. Ikizlerli, Deniz & Holmes, Phil & Anderson, Keith, 2019. "The response of different investor types to macroeconomic news," Journal of Multinational Financial Management, Elsevier, vol. 50(C), pages 13-28.
    8. Mohammad Tariqul Islam Khan, 2022. "Prior perceived losses and investment objectives after stock market crisis: a moderated-mediation model of risk tolerance and loss aversion," SN Business & Economics, Springer, vol. 2(7), pages 1-22, July.
    9. Duxbury, Darren & Yao, Songyao, 2017. "Are investors consistent in their trading strategies? An examination of individual investor-level data," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 77-87.
    10. Andreu, Laura & Ortiz, Cristina & Sarto, José Luis, 2020. "Disposition effect in fund managers. Fund and stock-specific factors and the upshot for investors," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 253-268.

  23. Urquhart, Andrew & Gebka, Bartosz & Hudson, Robert, 2015. "How exactly do markets adapt? Evidence from the moving average rule in three developed markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 127-147.

    Cited by:

    1. Rahman, Md. Lutfur & Lee, Doowon & Shamsuddin, Abul, 2017. "Time-varying return predictability in South Asian equity markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 179-200.
    2. Green, Lawrence & Sung, Ming-Chien & Ma, Tiejun & Johnson, Johnnie E. V., 2019. "To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market," European Journal of Operational Research, Elsevier, vol. 278(1), pages 226-239.
    3. Anghel, Dan Gabriel, 2021. "Data Snooping Bias in Tests of the Relative Performance of Multiple Forecasting Models," Journal of Banking & Finance, Elsevier, vol. 126(C).
    4. Tiwari, Aviral Kumar & Gupta, Rangan, 2019. "Chaos in G7 stock markets using over one century of data: A note," Research in International Business and Finance, Elsevier, vol. 47(C), pages 304-310.
    5. Andrew Urquhart, 2017. "How predictable are precious metal returns?," The European Journal of Finance, Taylor & Francis Journals, vol. 23(14), pages 1390-1413, November.
    6. Sermpinis, Georgios & Hassanniakalager, Arman & Stasinakis, Charalampos & Psaradellis, Ioannis, 2021. "Technical analysis profitability and Persistence: A discrete false discovery approach on MSCI indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    7. Ferreira, Joaquim & Morais, Flávio, 2023. "Predict or to be predicted? A transfer entropy view between adaptive green markets, structural shocks and sentiment index," Finance Research Letters, Elsevier, vol. 56(C).
    8. Ikhlaas Gurrib, 2022. "Technical Analysis, Energy Cryptos and Energy Equity Markets," International Journal of Energy Economics and Policy, Econjournals, vol. 12(2), pages 249-267, March.
    9. Batten, Jonathan A. & Lucey, Brian M. & McGroarty, Frank & Peat, Maurice & Urquhart, Andrew, 2018. "Does intraday technical trading have predictive power in precious metal markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 102-113.
    10. Ikhlaas Gurrib & Mohammad Nourani & Rajesh Kumar Bhaskaran, 2022. "Energy crypto currencies and leading U.S. energy stock prices: are Fibonacci retracements profitable?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-27, December.
    11. Ikhlaas Gurrib & Firuz Kamalov & Elgilani Elshareif, 2021. "Can the Leading US Energy Stock Prices be Predicted using the Ichimoku Cloud?," International Journal of Energy Economics and Policy, Econjournals, vol. 11(1), pages 41-51.
    12. Siddique, Maryam, 2023. "Does the Adaptive Market Hypothesis Exist in Equity Market? Evidence from Pakistan Stock Exchange," OSF Preprints 9b5dx, Center for Open Science.
    13. Adrian Zoicas‐Ienciu, 2021. "Evaluating active investing with generic trading reactions," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1018-1036, January.
    14. Pınar Evrim Mandacı & F. Dilvin Taskın & Zeliha Can Ergun, 2019. "Adaptive Market Hypothesis," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 84-101.
    15. Robert Hudson & Andrew Urquhart, 2021. "Technical trading and cryptocurrencies," Annals of Operations Research, Springer, vol. 297(1), pages 191-220, February.
    16. Ke Meng & Shouhao Li, 2021. "The adaptive market hypothesis and high frequency trading," PLOS ONE, Public Library of Science, vol. 16(12), pages 1-19, December.
    17. Urquhart, Andrew & McGroarty, Frank, 2016. "Are stock markets really efficient? Evidence of the adaptive market hypothesis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 39-49.

  24. Manahov, Viktor & Hudson, Robert & Hoque, Hafiz, 2015. "Return predictability and the ‘wisdom of crowds’: Genetic Programming trading algorithms, the Marginal Trader Hypothesis and the Hayek Hypothesis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 85-98.

    Cited by:

    1. Syeda Tayyaba Ijaz & Rabia Komal, 2015. "Role Of Hurst Exponent In Prediction Of Market Efficiency In Kse-100 Index," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 11(2), pages 41-54.
    2. Andreas Karathanasopoulos, 2017. "Modelling and trading the London, New York and Frankfurt stock exchanges with a new gene expression programming trader tool," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 24(1), pages 3-11, January.
    3. Katsuya Ito & Kentaro Minami & Kentaro Imajo & Kei Nakagawa, 2020. "Trader-Company Method: A Metaheuristic for Interpretable Stock Price Prediction," Papers 2012.10215, arXiv.org.

  25. Hudson, Robert S. & Gregoriou, Andros, 2015. "Calculating and comparing security returns is harder than you think: A comparison between logarithmic and simple returns," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 151-162.

    Cited by:

    1. Dmitry Bazhutov & André Betzer & Richard Stehle, 2023. "Beta estimation in the European network regulation context: what matters, what doesn’t, and what is indispensable," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(3), pages 239-275, September.
    2. Daniel Danau, 2018. "Prudence and preference for flexibility gain," Working Papers hal-01806743, HAL.
    3. Yong Kheng Goh & Haslifah M Hasim & Chris G Antonopoulos, 2018. "Inference of financial networks using the normalised mutual information rate," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-21, February.
    4. Auer, Benjamin R., 2016. "On the performance of simple trading rules derived from the fractal dynamics of gold and silver price fluctuations," Finance Research Letters, Elsevier, vol. 16(C), pages 255-267.
    5. Francisco Amaral & Martin Dohmen & Sebastian Kohl & Moritz Schularick, 2021. "Superstar Returns," Staff Reports 999, Federal Reserve Bank of New York.
    6. Tan Le & Franck Martin & Duc Nguyen, 2018. "Dynamic connectedness of global currencies: a conditional Granger-causality approach," Working Papers hal-01806733, HAL.
    7. Guillaume Coqueret, 2022. "Characteristics-driven returns in equilibrium," Papers 2203.07865, arXiv.org.
    8. Cormac O’ Keeffe & Liam A. Gallagher, 2017. "The winner-loser anomaly: recent evidence from Greece," Applied Economics, Taylor & Francis Journals, vol. 49(47), pages 4718-4728, October.
    9. Hillen, Judith & Fedoseeva, Svetlana, 2021. "E-commerce and the end of price rigidity?," Journal of Business Research, Elsevier, vol. 125(C), pages 63-73.
    10. Alves, P.R.L., 2020. "Dynamic characteristic of Bitcoin cryptocurrency in the reconstruction scheme," Chaos, Solitons & Fractals, Elsevier, vol. 134(C).
    11. Manju Tripathi & Smita Kashiramka & P. K. Jain, 2018. "Equity Risk Premium in India: Comparative Estimates from Historical Returns, Dividend and Earnings Models," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(1_suppl), pages 136-156, April.
    12. João Vitor Leme & Wallace Casaca & Marilaine Colnago & Maurício Araújo Dias, 2020. "Towards Assessing the Electricity Demand in Brazil: Data-Driven Analysis and Ensemble Learning Models," Energies, MDPI, vol. 13(6), pages 1-20, March.
    13. Krishna Reddy & Rudi Bosman & Nawazish Mirza, 2019. "Impact Of Credit Ratings On Stock Returns," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(3), pages 343-366, January.
    14. He, Xie & Hamori, Shigeyuki, 2021. "Is volatility spillover enough for investor decisions? A new viewpoint from higher moments," Journal of International Money and Finance, Elsevier, vol. 116(C).
    15. Junkai Wang & Robert Hudson, 2023. "Testing for herding using different return definitions: a comparison between simple and logarithmic returns," Economics Bulletin, AccessEcon, vol. 43(2), pages 1070-1080.

  26. Forbes, William & Hudson, Robert & Skerratt, Len & Soufian, Mona, 2015. "Which heuristics can aid financial-decision-making?," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 199-210.

    Cited by:

    1. Benson Tsz Kin Leung, 2020. "Learning in a Small/Big World," Papers 2009.11917, arXiv.org, revised Mar 2023.
    2. Forbes, William, 2024. "Unconscious thoughts as a spur and halt on good financial decisioning making," International Review of Financial Analysis, Elsevier, vol. 91(C).
    3. Naegels, Vanessa & D’Espallier, Bert & Mori, Neema, 2020. "Perceived problems with collateral: The value of informal networking," International Review of Economics & Finance, Elsevier, vol. 65(C), pages 32-45.
    4. Jin, Liang & Taffler, Richard & Eshraghi, Arman & Tosun, Onur Kemal, 2020. "Fund manager conviction and investment performance," International Review of Financial Analysis, Elsevier, vol. 71(C).
    5. Gregory Gadzinski & Markus Schuller & Shabnam Mousavi, 2022. "Long-lasting heuristics principles for efficient investment decisions," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 14(4), pages 570-583, March.
    6. Víctor Alberto Pena & Alina Gómez-Mejía, 2019. "Effect of the anchoring and adjustment heuristic and optimism bias in stock market forecasts," Revista Finanzas y Politica Economica, Universidad Católica de Colombia, vol. 11(2), pages 389-409, November.

  27. Hudson, Robert & Urquhart, Andrew, 2015. "War and stock markets: The effect of World War Two on the British stock market," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 166-177.

    Cited by:

    1. Boungou, Whelsy & Gupta, Praveen & Wahyono, Budi, 2024. "Coup d'état in Africa and stock market returns: The case of French companies," Economics Letters, Elsevier, vol. 237(C).
    2. Hassan, M Kabir & Boubaker, Sabri & Kumari, Vineeta & Pandey, Dharen Kumar, 2022. "Border disputes and heterogeneous sectoral returns: An event study approach," Finance Research Letters, Elsevier, vol. 50(C).
    3. Monica Martinez-Blasco & Vanessa Serrano & Francesc Prior & Jordi Cuadros, 2023. "Analysis of an event study using the Fama–French five-factor model: teaching approaches including spreadsheets and the R programming language," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-34, December.
    4. Faheem Aslam & Paulo Ferreira & Haider Ali & Ana Ercília José, 2022. "Application of Multifractal Analysis in Estimating the Reaction of Energy Markets to Geopolitical Acts and Threats," Sustainability, MDPI, vol. 14(10), pages 1-23, May.
    5. Umar, Zaghum & Bossman, Ahmed & Choi, Sun-Yong & Vo, Xuan Vinh, 2023. "Are short stocks susceptible to geopolitical shocks? Time-Frequency evidence from the Russian-Ukrainian conflict," Finance Research Letters, Elsevier, vol. 52(C).
    6. Basnet, Anup & Blomkvist, Magnus & Galariotis, Emilios, 2022. "The role of ESG in the decision to stay or leave the market of an invading country: The case of Russia," Economics Letters, Elsevier, vol. 216(C).
    7. Linhai Zhao & Ehsan Rasoulinezhad & Tapan Sarker & Farhad Taghizadeh-Hesary, 2023. "Effects of COVID-19 on Global Financial Markets: Evidence from Qualitative Research for Developed and Developing Economies," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 35(1), pages 148-166, February.
    8. Piotr Fiszeder & Marta Ma³ecka, 2022. "Forecasting volatility during the outbreak of Russian invasion of Ukraine: application to commodities, stock indices, currencies, and cryptocurrencies," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(4), pages 939-967, December.
    9. Yousaf, Imran & Hunjra, Ahmed Imran & Alshater, Muneer M. & Bouri, Elie & Li, Yanshuang, 2023. "Multidimensional connectedness among the volatility of global financial markets around the Russian-Ukrainian conflict," Pacific-Basin Finance Journal, Elsevier, vol. 82(C).
    10. Kumari, Vineeta & Kumar, Gaurav & Pandey, Dharen Kumar, 2023. "Are the European Union stock markets vulnerable to the Russia–Ukraine war?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    11. Abakah, Emmanuel Joel Aikins & Adeabah, David & Tiwari, Aviral Kumar & Abdullah, Mohammad, 2023. "Effect of Russia–Ukraine war sentiment on blockchain and FinTech stocks," International Review of Financial Analysis, Elsevier, vol. 90(C).
    12. Umar, Muhammad & Riaz, Yasir & Yousaf, Imran, 2022. "Impact of Russian-Ukraine war on clean energy, conventional energy, and metal markets: Evidence from event study approach," Resources Policy, Elsevier, vol. 79(C).
    13. Hanedar, Avni Önder & Hanedar, Elmas Yaldız, 2017. "Ottoman stock returns during the Turco-Italian and Balkan Wars of 1910-1914," eabh Papers 17-02, The European Association for Banking and Financial History (EABH).
    14. Peng, Yi-Ting & Chang, Tsangyao & Ranjbar, Omid & Xiang, Feiyun, 2024. "Has the COVID-19 pandemic shock transmitted to the u.s. stock market: Evidence using bootstrap (A)symmetric fourier granger causality test in quantiles," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    15. Whelsy BOUNGOU & Alhonita YATIE, 2022. "The impact of the Ukraine-Russia war on world stock market returns," Bordeaux Economics Working Papers 2022-06, Bordeaux School of Economics (BSE).
    16. Wang, Wenzhao & Duxbury, Darren, 2021. "Institutional investor sentiment and the mean-variance relationship: Global evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 191(C), pages 415-441.
    17. Assaf, Rima & Gupta, Deeksha & Kumar, Rahul, 2023. "The price of war: Effect of the Russia-Ukraine war on the global financial market," The Journal of Economic Asymmetries, Elsevier, vol. 28(C).
    18. Georgios Bampinas & Theodore Panagiotidis, 2024. "How would the war and the pandemic affect the stock and cryptocurrency cross-market linkages?," Working Paper series 24-01, Rimini Centre for Economic Analysis.
    19. Abakah, Emmanuel Joel Aikins & Abdullah, Mohammad & Yousaf, Imran & Kumar Tiwari, Aviral & Li, Yanshuang, 2024. "Economic sanctions sentiment and global stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 91(C).
    20. Boubaker, Sabri & Goodell, John W. & Pandey, Dharen Kumar & Kumari, Vineeta, 2022. "Heterogeneous impacts of wars on global equity markets: Evidence from the invasion of Ukraine," Finance Research Letters, Elsevier, vol. 48(C).
    21. Tosun, Onur Kemal & Eshraghi, Arman, 2022. "Corporate decisions in times of war: Evidence from the Russia-Ukraine conflict," Finance Research Letters, Elsevier, vol. 48(C).
    22. Bijoy Chandra Das & Fakhrul Hasan & Soma Rani Sutradhar & Sujana Shafique, 2023. "Ukraine–Russia Conflict and Stock Markets Reactions in Europe," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(3), pages 395-407, September.
    23. Jopp, Tobias A., 2017. "How does the public perceive alliances? The Central and Allied Powers in World War I," IBF Paper Series 12-17, IBF – Institut für Bank- und Finanzgeschichte / Institute for Banking and Financial History, Frankfurt am Main.
    24. Hudson, Robert & Urquhart, Andrew, 2022. "Naval disasters, world war two and the British stock market," Research in International Business and Finance, Elsevier, vol. 59(C).
    25. Martins, António Miguel & Correia, Pedro & Gouveia, Ricardo, 2023. "Russia-Ukraine conflict: The effect on European banks’ stock market returns," Journal of Multinational Financial Management, Elsevier, vol. 67(C).
    26. Anup Basnet & Emilios Galariotis & Magnus Blomkvist, 2022. "The role of ESG in the decision to stay or leave the market of an invading country: The case of Russia," Post-Print hal-03689077, HAL.
    27. Pandey, Dharen Kumar & Lucey, Brian M. & Kumar, Satish, 2023. "Border disputes, conflicts, war, and financial markets research: A systematic review," Research in International Business and Finance, Elsevier, vol. 65(C).
    28. Hanedar, Avni Önder & Yaldız Hanedar, Elmas, 2017. "Stock market reactions to wars and political risks: A cliometric perspective for a falling empire," MPRA Paper 85600, University Library of Munich, Germany, revised 25 Mar 2018.
    29. Abu-Ghunmi, Diana & Corbet, Shaen & Larkin, Charles, 2020. "An international analysis of the economic cost for countries located in crisis zones," Research in International Business and Finance, Elsevier, vol. 51(C).
    30. Kashif Zaheer & Faheem Aslam & Yasir Tariq Mohmand & Paulo Ferreira, 2024. "On the Dynamic Changes in the Global Stock Markets’ Network during the Russia–Ukraine War," Economies, MDPI, vol. 12(2), pages 1-27, February.
    31. Katarzyna Czech & Michał Wielechowski & Richard Barichello, 2023. "The shock of war: do trade relations impact the reaction of stock markets to the Russian invasion of Ukraine?," Ekonomista, Polskie Towarzystwo Ekonomiczne, issue 1, pages 14-27.
    32. Urquhart, Andrew & Hudson, Robert, 2016. "Investor sentiment and local bias in extreme circumstances: The case of the Blitz," Research in International Business and Finance, Elsevier, vol. 36(C), pages 340-350.
    33. Emon Kalyan Chowdhury & Iffat Ishrat Khan, 2024. "Reactions of Global Stock Markets to the Russia–Ukraine War: An Empirical Evidence," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 31(3), pages 755-778, September.
    34. Izzeldin, Marwan & Muradoğlu, Yaz Gülnur & Pappas, Vasileios & Petropoulou, Athina & Sivaprasad, Sheeja, 2023. "The impact of the Russian-Ukrainian war on global financial markets," International Review of Financial Analysis, Elsevier, vol. 87(C).
    35. Helmi, Mohamad Husam & Elsayed, Ahmed H. & Khalfaoui, Rabeh, 2024. "The impact of geopolitical risk on sustainable markets: A quantile-time-frequency analysis," Finance Research Letters, Elsevier, vol. 64(C).
    36. Zhang, Li & Wang, Lu & Peng, Lijuan & Luo, Keyu, 2023. "Measuring the response of clean energy stock price volatility to extreme shocks," Renewable Energy, Elsevier, vol. 206(C), pages 1289-1300.
    37. Antonakakis, Nikolaos & Gupta, Rangan & Kollias, Christos & Papadamou, Stephanos, 2017. "Geopolitical risks and the oil-stock nexus over 1899–2016," Finance Research Letters, Elsevier, vol. 23(C), pages 165-173.
    38. Silva, Thiago Christiano & Wilhelm, Paulo Victor Berri & Tabak, Benjamin Miranda, 2023. "Trade matters except to war neighbors: The international stock market reaction to 2022 Russia’s invasion of Ukraine," Research in International Business and Finance, Elsevier, vol. 65(C).
    39. Neifar, Malika & Hdider, Anis, 2024. "Role of Crude Oil, Natural Gas and Wheat Prices and the Impact of the ‎Russian-Ukrainian War on the Investor Social Network Sentiment; Evidence ‎from the US Stock Market," MPRA Paper 120920, University Library of Munich, Germany.
    40. António Miguel Martins & Pedro Correia & Ricardo Gouveia, 2024. "The impact of the Russia–Ukraine war on the world’s largest listed insurance firms," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 49(4), pages 779-803, October.
    41. Nawaf N. Hamadneh & Jamil J. Jaber & Saratha Sathasivam, 2024. "Estimating Volatility of Saudi Stock Market Using Hybrid Dynamic Evolving Neural Fuzzy Inference System Models," JRFM, MDPI, vol. 17(8), pages 1-22, August.
    42. Zaremba, Adam & Cakici, Nusret & Demir, Ender & Long, Huaigang, 2022. "When bad news is good news: Geopolitical risk and the cross-section of emerging market stock returns," Journal of Financial Stability, Elsevier, vol. 58(C).
    43. Kakhkharov, Jakhongir & Onur, Ilke & Yalcin, Erkan & Zhu, Rong, 2024. "Global evidence on the Russia–Ukraine conflict and energy stock returns," International Review of Economics & Finance, Elsevier, vol. 93(PB), pages 413-435.
    44. Zhou, Mei-Jing & Huang, Jian-Bai & Chen, Jin-Yu, 2020. "The effects of geopolitical risks on the stock dynamics of China's rare metals: A TVP-VAR analysis," Resources Policy, Elsevier, vol. 68(C).
    45. Liang, Chao & Wang, Lu & Duong, Duy, 2024. "More attention and better volatility forecast accuracy: How does war attention affect stock volatility predictability?," Journal of Economic Behavior & Organization, Elsevier, vol. 218(C), pages 1-19.
    46. Dey, Asim K. & Hoque, G.M. Toufiqul & Das, Kumer P. & Panovska, Irina, 2022. "Impacts of COVID-19 local spread and Google search trend on the US stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    47. Wang, Lu & Wu, Jiangbin & Cao, Yang & Hong, Yanran, 2022. "Forecasting renewable energy stock volatility using short and long-term Markov switching GARCH-MIDAS models: Either, neither or both?," Energy Economics, Elsevier, vol. 111(C).
    48. Chortane, Sana Gaied & Pandey, Dharen Kumar, 2022. "Does the Russia-Ukraine war lead to currency asymmetries? A US dollar tale," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    49. Liu, Yang & Han, Liyan & Yin, Libo, 2019. "News implied volatility and long-term foreign exchange market volatility," International Review of Financial Analysis, Elsevier, vol. 61(C), pages 126-142.
    50. Yousaf, Imran & Patel, Ritesh & Yarovaya, Larisa, 2022. "The reaction of G20+ stock markets to the Russia–Ukraine conflict “black-swan” event: Evidence from event study approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    51. Evrim Mandaci, Pınar & Azimli, Asil & Mandaci, Nazif, 2023. "The impact of geopolitical risks on connectedness among natural resource commodities: A quantile vector autoregressive approach," Resources Policy, Elsevier, vol. 85(PA).

  28. Hanxiong Zhang & Robert Hudson & Hugh Metcalf & Viktor Manahov, 2015. "Identification of house price bubbles using user cost in a state space model," Applied Economics, Taylor & Francis Journals, vol. 47(56), pages 6088-6101, December.

    Cited by:

    1. Hettihewa, Samanthala & Saha, Shrabani & Zhang, Hanxiong, 2018. "Does an aging population influence stock markets? Evidence from New Zealand," Economic Modelling, Elsevier, vol. 75(C), pages 142-158.

  29. Gebka, Bartosz & Hudson, Robert S. & Atanasova, Christina V., 2015. "The benefits of combining seasonal anomalies and technical trading rules," Finance Research Letters, Elsevier, vol. 14(C), pages 36-44.

    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. Alin Marius ANDRIEŞ & Iulian IHNATOV & Nicu SPRINCEAN, 2017. "Do Seasonal Anomalies Still Exist In Central And Eastern European Countries? A Conditional Variance Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 60-83, December.
    3. Degenhardt, Thomas & Auer, Benjamin R., 2018. "The “Sell in May” effect: A review and new empirical evidence," The North American Journal of Economics and Finance, Elsevier, vol. 43(C), pages 169-205.

  30. Manahov, Viktor & Hudson, Robert & Linsley, Philip, 2014. "New evidence about the profitability of small and large stocks and the role of volume obtained using Strongly Typed Genetic Programming," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 299-316.

    Cited by:

    1. Manahov, Viktor & Hudson, Robert & Hoque, Hafiz, 2015. "Return predictability and the ‘wisdom of crowds’: Genetic Programming trading algorithms, the Marginal Trader Hypothesis and the Hayek Hypothesis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 85-98.

  31. Viktor Manahov & Mona Soufian & Robert Hudson, 2014. "The Implications Of Trader Cognitive Abilities On Stock Market Properties," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 21(1), pages 1-18, January.

    Cited by:

    1. Paolo Pellizzari & Dan Ladley, 2014. "The simplicity of optimal trading in order book markets," Working Papers 2014:05, Department of Economics, University of Venice "Ca' Foscari".
    2. Ladley, Daniel, 2020. "The high frequency trade off between speed and sophistication," Journal of Economic Dynamics and Control, Elsevier, vol. 116(C).
    3. Strijbis, Oliver & Arnesen, Sveinung, 2019. "Explaining variance in the accuracy of prediction markets," International Journal of Forecasting, Elsevier, vol. 35(1), pages 408-419.

  32. Viktor Manahov & Robert Hudson, 2014. "The implications of high-frequency trading on market efficiency and price discovery," Applied Economics Letters, Taylor & Francis Journals, vol. 21(16), pages 1148-1151, November.

    Cited by:

    1. Andrew Phiri, 2017. "Threshold convergence between the federal fund rate and South African equity returns around the colocation period," Business and Economic Horizons (BEH), Prague Development Center, vol. 13(1), pages 1-9, March.
    2. Gianluca Piero Maria Virgilio, 2019. "High-frequency trading: a literature review," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 33(2), pages 183-208, June.
    3. Jin, Liwei & Yuan, Xianghui & Li, Xiang & Ma, Huanglong & Lian, Feng, 2022. "Would widening price limits improve the efficiency of price discovery?," Finance Research Letters, Elsevier, vol. 50(C).
    4. Wu, Liang & Liu, Hengzhi & Liu, Chang & Long, Yunshen, 2020. "Determining the information share of liquidity and order flows in extreme price movements," Economic Modelling, Elsevier, vol. 93(C), pages 559-575.

  33. John K. Ashton & Robert S. Hudson, 2014. "Do Lenders Cross-Subsidise Loans by Selling Payment Protection Insurance?," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 21(1), pages 121-138, February.

    Cited by:

    1. Ashton, John K. & Hudson, Robert S., 2017. "The price, quality and distribution of mortgage payment protection insurance: A hedonic pricing approach," The British Accounting Review, Elsevier, vol. 49(2), pages 242-255.
    2. Wang, Yang & Ashton, John K. & Jaafar, Aziz, 2019. "Money shouts! How effective are punishments for accounting fraud?," The British Accounting Review, Elsevier, vol. 51(5).
    3. Lucia Spotorno & Ornella Moro, 2020. "Do bank-affiliated P&C insurers perform better? An empirical investigation," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(2), pages 225-255, April.
    4. Lunn, Pete & McGowan, Féidhlim & Howard, Noel, 2018. "Do some financial product features negatively affect consumer decisions? a review of evidence," Research Series, Economic and Social Research Institute (ESRI), number RS78.

  34. Anderson, Robert D.J. & Ashton, John K. & Hudson, Robert S., 2014. "The influence of product age on pricing decisions: An examination of bank deposit interest rate setting," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 31(C), pages 216-230.
    See citations under working paper version above.
  35. Soufian, Mona & Forbes, William & Hudson, Robert, 2014. "Adapting financial rationality: Is a new paradigm emerging?," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 25(8), pages 724-742.

    Cited by:

    1. Giovanni Ferri & Matteo Ploner & Matteo Rizzolli, 2016. "Count To Ten Before Trading: Evidence On The Role Of Deliberation In Experimental Financial Markets," CERBE Working Papers wpC07, CERBE Center for Relationship Banking and Economics.
    2. Pucci, Richard & Skærbæk, Peter, 2020. "The co-performation of financial economics in accounting standard-setting: A study of the translation of the expected credit loss model in IFRS 9," Accounting, Organizations and Society, Elsevier, vol. 81(C).
    3. Polzin, Friedemann & Sanders, Mark & Serebriakova, Alexandra, 2021. "Finance in global transition scenarios: Mapping investments by technology into finance needs by source," Energy Economics, Elsevier, vol. 99(C).
    4. Dillard, Jesse & Vinnari, Eija, 2017. "A case study of critique: Critical perspectives on critical accounting," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 43(C), pages 88-109.
    5. Al-Khazali, Osamah & Mirzaei, Ali, 2017. "Stock market anomalies, market efficiency and the adaptive market hypothesis: Evidence from Islamic stock indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 190-208.
    6. Lakshmi, Geeta, 2018. "Gekko and black swans: Finance theory in UK undergraduate curricula," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 52(C), pages 35-47.
    7. Jasman Tuyon & Zamri Ahmada, 2016. "Behavioural finance perspectives on Malaysian stock market efficiency," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 16(1), pages 43-61, March.
    8. Syed Aliya Zahera & Rohit Bansal, 2018. "Do investors exhibit behavioral biases in investment decision making? A systematic review," Qualitative Research in Financial Markets, Emerald Group Publishing Limited, vol. 10(2), pages 210-251, May.
    9. Urquhart, Andrew & McGroarty, Frank, 2014. "Calendar effects, market conditions and the Adaptive Market Hypothesis: Evidence from long-run U.S. data," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 154-166.

  36. Manahov, Viktor & Hudson, Robert & Gebka, Bartosz, 2014. "Does high frequency trading affect technical analysis and market efficiency? And if so, how?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 131-157.

    Cited by:

    1. Söhnke M. Bartram & Jürgen Branke & Mehrshad Motahari, 2020. "Artificial intelligence in asset management," Working Papers 20202001, Cambridge Judge Business School, University of Cambridge.
    2. Bazzana, Flavio & Collini, Andrea, 2020. "How does HFT activity impact market volatility and the bid-ask spread after an exogenous shock? An empirical analysis on S&P 500 ETF," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    3. Manahov, Viktor, 2016. "A note on the relationship between high-frequency trading and latency arbitrage," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 281-296.
    4. Simone Cirillo & Stefan Lloyd & Peter Nordin, 2014. "Evolving intraday foreign exchange trading strategies utilizing multiple instruments price series," Papers 1411.2153, arXiv.org.
    5. Wright, Calvin & Swidler, Steve, 2023. "Abnormal trading volume, news and market efficiency: Evidence from the Jamaica Stock Exchange," Research in International Business and Finance, Elsevier, vol. 64(C).
    6. Andrew Phiri, 2017. "Threshold convergence between the federal fund rate and South African equity returns around the colocation period," Business and Economic Horizons (BEH), Prague Development Center, vol. 13(1), pages 1-9, March.
    7. Viktor Manahov & Robert Hudson, 2014. "The implications of high-frequency trading on market efficiency and price discovery," Applied Economics Letters, Taylor & Francis Journals, vol. 21(16), pages 1148-1151, November.
    8. Batten, Jonathan A. & Lucey, Brian M. & McGroarty, Frank & Peat, Maurice & Urquhart, Andrew, 2018. "Does intraday technical trading have predictive power in precious metal markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 102-113.
    9. Narayan, Paresh Kumar & Mishra, Sagarika & Narayan, Seema & Thuraisamy, Kannan, 2015. "Is Exchange Rate Trading Profitable?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 217-229.
    10. Serbera, Jean-Philippe & Paumard, Pascal, 2016. "The fall of high-frequency trading: A survey of competition and profits," Research in International Business and Finance, Elsevier, vol. 36(C), pages 271-287.
    11. Manahov, Viktor & Urquhart, Andrew, 2021. "The efficiency of Bitcoin: A strongly typed genetic programming approach to smart electronic Bitcoin markets," International Review of Financial Analysis, Elsevier, vol. 73(C).
    12. Ye, Cheng & Qiu, Yanjun & Lu, Guohao & Hou, Yawen, 2018. "Quantitative strategy for the Chinese commodity futures market based on a dynamic weighted money flow model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 1009-1018.
    13. Lorenzo Reus & Guillermo Alexander Sepúlveda-Hurtado, 2023. "Foreign exchange trading and management with the stochastic dual dynamic programming method," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-38, December.
    14. Syeda Tayyaba Ijaz & Rabia Komal, 2015. "Role Of Hurst Exponent In Prediction Of Market Efficiency In Kse-100 Index," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 11(2), pages 41-54.
    15. Kevin Rink, 2023. "The predictive ability of technical trading rules: an empirical analysis of developed and emerging equity markets," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 37(4), pages 403-456, December.
    16. Urquhart, Andrew & Zhang, Hanxiong, 2019. "Is Bitcoin a hedge or safe haven for currencies? An intraday analysis," International Review of Financial Analysis, Elsevier, vol. 63(C), pages 49-57.
    17. Gebka, Bartosz & Hudson, Robert S. & Atanasova, Christina V., 2015. "The benefits of combining seasonal anomalies and technical trading rules," Finance Research Letters, Elsevier, vol. 14(C), pages 36-44.
    18. Olgun, Onur & Ekinci, Cumhur & Arıkan, Ramazan, 2024. "The performance of selected high-frequency trading proxies: An application on Turkish index futures market," Finance Research Letters, Elsevier, vol. 65(C).
    19. Sashikanta Khuntia & J. K. Pattanayak, 2020. "Evolving Efficiency of Exchange Rate Movement: An Evidence from Indian Foreign Exchange Market," Global Business Review, International Management Institute, vol. 21(4), pages 956-969, August.
    20. Manahov, Viktor & Hudson, Robert & Hoque, Hafiz, 2015. "Return predictability and the ‘wisdom of crowds’: Genetic Programming trading algorithms, the Marginal Trader Hypothesis and the Hayek Hypothesis," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 37(C), pages 85-98.
    21. Esparcia, Carlos & López, Raquel, 2024. "Performance of crypto-Forex portfolios based on intraday data," Research in International Business and Finance, Elsevier, vol. 69(C).

  37. Amini, Shima & Gebka, Bartosz & Hudson, Robert & Keasey, Kevin, 2013. "A review of the international literature on the short term predictability of stock prices conditional on large prior price changes: Microstructure, behavioral and risk related explanations," International Review of Financial Analysis, Elsevier, vol. 26(C), pages 1-17.

    Cited by:

    1. Nicholas Apergis & Vasilios Plakandaras & Ioannis Pragidis, 2022. "Industry momentum and reversals in stock markets," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3093-3138, July.
    2. Kiesel, Florian & Kolaric, Sascha & Schiereck, Dirk, 2016. "Market integration and efficiency of CDS and equity markets," The Quarterly Review of Economics and Finance, Elsevier, vol. 61(C), pages 209-229.
    3. Borgards, Oliver & Czudaj, Robert L., 2021. "Features of overreactions in the cryptocurrency market," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 31-48.
    4. Ham, Hyuna & Ryu, Doojin & Webb, Robert I., 2022. "The effects of overnight events on daytime trading sessions," International Review of Financial Analysis, Elsevier, vol. 83(C).
    5. Vinicius Ratton Brandi, 2020. "Short-Term Predictability of Stock Market Indexes following Large Drawdowns and Drawups," Working Papers Series 529, Central Bank of Brazil, Research Department.
    6. Yitao Li & Umar Islambekov & Cuneyt Akcora & Ekaterina Smirnova & Yulia R. Gel & Murat Kantarcioglu, 2019. "Dissecting Ethereum Blockchain Analytics: What We Learn from Topology and Geometry of Ethereum Graph," Papers 1912.10105, arXiv.org.
    7. Andrikopoulos, Panagiotis & Kallinterakis, Vasileios & Leite Ferreira, Mario Pedro & Verousis, Thanos, 2017. "Intraday herding on a cross-border exchange," International Review of Financial Analysis, Elsevier, vol. 53(C), pages 25-36.
    8. Dao, Thong M. & McGroarty, Frank & Urquhart, Andrew, 2016. "A calendar effect: Weekend overreaction (and subsequent reversal) in spot FX rates," Journal of Multinational Financial Management, Elsevier, vol. 37, pages 158-167.
    9. KiHoon Jimmy Hong & Eliza Wu, 2014. "Can Momentum Factors Be Used to Enhance Accounting Information based Fundamental Analysis in Explaining Stock Price Movements?," Research Paper Series 346, Quantitative Finance Research Centre, University of Technology, Sydney.
    10. Piccoli, Pedro & Chaudhury, Mo & Souza, Alceu, 2017. "How do stocks react to extreme market events? Evidence from Brazil," Research in International Business and Finance, Elsevier, vol. 42(C), pages 275-284.
    11. Borgards, Oliver & Czudaj, Robert L., 2020. "The prevalence of price overreactions in the cryptocurrency market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 65(C).
    12. 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.
    13. Steffen, Viktoria, 2023. "A literature review on extreme price movements with reversal," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    14. Dyl, Edward A. & Yuksel, H. Zafer & Zaynutdinova, Gulnara R., 2019. "Price reversals and price continuations following large price movements," Journal of Business Research, Elsevier, vol. 95(C), pages 1-12.
    15. Hong, KiHoon & Wu, Eliza, 2016. "The roles of past returns and firm fundamentals in driving US stock price movements," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 62-75.
    16. Markus Vogl, 2022. "Quantitative modelling frontiers: a literature review on the evolution in financial and risk modelling after the financial crisis (2008–2019)," SN Business & Economics, Springer, vol. 2(12), pages 1-69, December.
    17. Liam Ison & Robert Hudson, 2017. "Stock predictability and preceding stock price changes – evidence from central and eastern european markets," Economics Bulletin, AccessEcon, vol. 37(2), pages 733-740.
    18. Todorova, Neda, 2017. "The intraday directional predictability of large Australian stocks: A cross-quantilogram analysis," Economic Modelling, Elsevier, vol. 64(C), pages 221-230.
    19. Robert Maderitsch, 2015. "Spillovers from the USA to stock markets in Asia: a quantile regression approach," Applied Economics, Taylor & Francis Journals, vol. 47(44), pages 4714-4727, September.
    20. Xinyue He & Teresa Serra & Philip Garcia, 2021. "Resilience in “Flash Events” in the Corn and Lean Hog Futures Markets," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(2), pages 743-764, March.
    21. Srikanth Parthasarathy & Kannadas Sendilvelu, 2022. "On Stock Return Patterns Following Large Monthly Price Movements: Empirical Evidence from India," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 249-268.
    22. Kiesel, Florian, 2016. "The effect of credit and rating events on credit default swap and equity markets," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 81265, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    23. Daniel Folkinshteyn & Gulser Meric & Ilhan Meric, 2015. "Investor Reaction In Stock Market Crashes And Post-Crash Market Reversals," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 9(5), pages 57-70.

  38. Manahov, Viktor & Hudson, Robert, 2013. "Herd behaviour experimental testing in laboratory artificial stock market settings. Behavioural foundations of stylised facts of financial returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(19), pages 4351-4372.

    Cited by:

    1. Fabio Della Rossa & Lorenzo Giannini & Pietro DeLellis, 2020. "Herding or wisdom of the crowd? Controlling efficiency in a partially rational financial market," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-16, September.
    2. Manahov, Viktor & Hudson, Robert & Gebka, Bartosz, 2014. "Does high frequency trading affect technical analysis and market efficiency? And if so, how?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 131-157.

  39. Darren Duxbury & Robert Hudson & Kevin Keasey & Zhishu Yang & Songyao Yao, 2013. "How prior realized outcomes affect portfolio decisions," Review of Quantitative Finance and Accounting, Springer, vol. 41(4), pages 611-629, November.

    Cited by:

    1. Deaves, Richard & Kluger, Brian & Miele, Jennifer, 2018. "An exploratory experimental analysis of path-dependent investment behaviors," Journal of Economic Psychology, Elsevier, vol. 67(C), pages 47-65.
    2. Robert Goldberg, 2015. "A methodology for computing and comparing implied equity and corporate-debt Sharpe Ratios," Review of Quantitative Finance and Accounting, Springer, vol. 44(4), pages 733-754, May.
    3. Ikizlerli, Deniz & Holmes, Phil & Anderson, Keith, 2019. "The response of different investor types to macroeconomic news," Journal of Multinational Financial Management, Elsevier, vol. 50(C), pages 13-28.
    4. Mohammad Tariqul Islam Khan & Siow-Hooi Tan, 2019. "Stated Preferences for Firm’s Characteristics and Asset Allocation Decisions," Global Business Review, International Management Institute, vol. 20(4), pages 839-855, August.
    5. Mohammad Tariqul Islam Khan, 2022. "Prior perceived losses and investment objectives after stock market crisis: a moderated-mediation model of risk tolerance and loss aversion," SN Business & Economics, Springer, vol. 2(7), pages 1-22, July.
    6. Duxbury, Darren & Yao, Songyao, 2017. "Are investors consistent in their trading strategies? An examination of individual investor-level data," International Review of Financial Analysis, Elsevier, vol. 52(C), pages 77-87.
    7. Chih-Hsiang Chang & Shan-Shan Chen & Song-Lin Hsieh, 2017. "Asymmetric Reinforcement Learning and Conditioned Responses During the 2007–2009 Global Financial Crisis: Evidence from Taiwan," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-44, June.
    8. Duxbury, Darren & Hudson, Robert & Keasey, Kevin & Yang, Zhishu & Yao, Songyao, 2015. "Do the disposition and house money effects coexist? A reconciliation of two behavioral biases using individual investor-level data," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 55-68.
    9. Andreu, Laura & Ortiz, Cristina & Sarto, José Luis, 2020. "Disposition effect in fund managers. Fund and stock-specific factors and the upshot for investors," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 253-268.
    10. Baars, Maren & Cordes, Henning & Mohrschladt, Hannes, 2020. "How negative interest rates affect the risk-taking of individual investors: Experimental evidence," Finance Research Letters, Elsevier, vol. 32(C).

  40. Alzahrani, Ahmed A. & Gregoriou, Andros & Hudson, Robert, 2013. "Price impact of block trades in the Saudi stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 322-341.

    Cited by:

    1. Sun, Yuxin & Ibikunle, Gbenga, 2017. "Informed trading and the price impact of block trades: A high frequency trading analysis," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 114-129.
    2. Ezzat, Hassan & Kirkulak, Berna, 2014. "Information Arrival and Volatility: Evidence from the Saudi Arabia Stock Exchange (Tadawul)," MPRA Paper 61160, University Library of Munich, Germany.
    3. Zhang, Sijia & Gregoriou, Andros, 2021. "The impact of order flow on event study returns: New evidence from zero-leverage firms," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 627-634.
    4. Gbenga Ibikunle & Davide Mare & Yuxin Sun, 2020. "The paradoxical effects of market fragmentation on adverse selection risk and market efficiency," The European Journal of Finance, Taylor & Francis Journals, vol. 26(14), pages 1439-1461, September.
    5. Aktas, Osman Ulas & Kryzanowski, Lawrence, 2014. "Market impacts of trades for stocks listed on the Borsa Istanbul," Emerging Markets Review, Elsevier, vol. 20(C), pages 152-175.
    6. Zhang, Sijia & Gregoriou, Andros, 2019. "The price behavior around initial loan announcements: Evidence from zero-leverage firms in the UK," Research in International Business and Finance, Elsevier, vol. 50(C), pages 191-200.
    7. Steffen, Viktoria, 2023. "A literature review on extreme price movements with reversal," Journal of Behavioral and Experimental Finance, Elsevier, vol. 38(C).
    8. Kuo-Shing Chen & Chien-Chiang Lee & Huolien Tsai, 2019. "Taxation of Wealthy Individuals, Inequality Governance and Corporate Social Responsibility," Sustainability, MDPI, vol. 11(7), pages 1-23, March.
    9. Lien, Donald & Hung, Pi-Hsia & Wu, Yi-Hsien, 2023. "An intraday analysis of block orders on the Taiwan Stock Exchange," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 133-147.

  41. Duxbury, Darren & Summers, Barbara & Hudson, Robert & Keasey, Kevin, 2013. "How people evaluate defined contribution, annuity-based pension arrangements: A behavioral exploration," Journal of Economic Psychology, Elsevier, vol. 34(C), pages 256-269.

    Cited by:

    1. Rambaud, Salvador Cruz & Pascual, Joaquín López & de los Ángeles del Pino Álvarez, María, 2019. "Preferences over sequences of payments: A new validation of the q-exponential discounting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 515(C), pages 332-345.
    2. Jenny Robinson & David A. Comerford, 2020. "The Effect on Annuities Preference of Prompts to Consider Life Expectancy: Evidence from a UK Quota Sample," Economica, London School of Economics and Political Science, vol. 87(347), pages 747-762, July.
    3. Maria Alexandrova & Nadine Gatzert, 2019. "What Do We Know About Annuitization Decisions?," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 22(1), pages 57-100, March.
    4. Fong Joelle H. & Lemaire Jean & Tse Yiu K., 2014. "Improving Money’s Worth Ratio Calculations: The Case of Singapore’s Pension Annuities," Asia-Pacific Journal of Risk and Insurance, De Gruyter, vol. 8(1), pages 1-26, March.

  42. Urquhart, Andrew & Hudson, Robert, 2013. "Efficient or adaptive markets? Evidence from major stock markets using very long run historic data," International Review of Financial Analysis, Elsevier, vol. 28(C), pages 130-142.

    Cited by:

    1. James Nguyen & Wei-Xuan Li & Clara Chia-Sheng Chen, 2022. "Mean Reversions in Major Developed Stock Markets: Recent Evidence from Unit Root, Spectral and Abnormal Return Studies," JRFM, MDPI, vol. 15(4), pages 1-20, April.
    2. Shah, Anand & Bahri, Anu, 2022. "Metanomics: Adaptive market and volatility behaviour in Metaverse," MPRA Paper 114442, University Library of Munich, Germany.
    3. Umara Noreen & Attayah Shafique & Usman Ayub & Syed Kashif Saeed, 2022. "Does the Adaptive Market Hypothesis Reconcile the Behavioral Finance and the Efficient Market Hypothesis?," Risks, MDPI, vol. 10(9), pages 1-14, August.
    4. Paulo Vitor Souza de Souza & C sar Augusto Tib rcio Silva, 2020. "Effects of COVID-19 Pandemic on International Capital Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 10(6), pages 163-171.
    5. Rahman, Md. Lutfur & Lee, Doowon & Shamsuddin, Abul, 2017. "Time-varying return predictability in South Asian equity markets," International Review of Economics & Finance, Elsevier, vol. 48(C), pages 179-200.
    6. Ma, T. & Fraser-Mackenzie, P.A.F. & Sung, M. & Kansara, A.P. & Johnson, J.E.V., 2022. "Are the least successful traders those most likely to exit the market? A survival analysis contribution to the efficient market debate," European Journal of Operational Research, Elsevier, vol. 299(1), pages 330-345.
    7. Kostas Mavromaras & Neha Deo & Heath Spong & Maria Estela Varua, 2017. "The Impact of the GFC on Sectoral Market Efficiency: Non-linear Testing for the Case of Australia," The Economic Record, The Economic Society of Australia, vol. 93, pages 38-56, June.
    8. Green, Lawrence & Sung, Ming-Chien & Ma, Tiejun & Johnson, Johnnie E. V., 2019. "To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market," European Journal of Operational Research, Elsevier, vol. 278(1), pages 226-239.
    9. Hiremath, Gourishankar S & Kumari, Jyoti, 2013. "Stock Returns Predictability and the Adaptive Market Hypothesis: Evidence from India," MPRA Paper 52581, University Library of Munich, Germany.
    10. Verheyden, Tim & De Moor, Lieven & Van den Bossche, Filip, 2015. "Towards a new framework on efficient markets," Research in International Business and Finance, Elsevier, vol. 34(C), pages 294-308.
    11. Tiwari, Aviral Kumar & Albulescu, Claudiu Tiberiu & Yoon, Seong-Min, 2017. "A multifractal detrended fluctuation analysis of financial market efficiency: Comparison using Dow Jones sector ETF indices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 483(C), pages 182-192.
    12. Mirzaee Ghazani, Majid & Khalili Araghi, Mansour, 2014. "Evaluation of the adaptive market hypothesis as an evolutionary perspective on market efficiency: Evidence from the Tehran stock exchange," Research in International Business and Finance, Elsevier, vol. 32(C), pages 50-59.
    13. Tiwari, Aviral Kumar & Gupta, Rangan, 2019. "Reprint of: Chaos in G7 stock markets using over one century of data: A note," Research in International Business and Finance, Elsevier, vol. 49(C), pages 315-321.
    14. Semei Coronado-Ram'irez & Pedro Celso-Arellano & Omar Rojas, 2014. "Adaptive Market Efficiency of Agricultural Commodity Futures Contracts," Papers 1412.8017, arXiv.org, revised Mar 2015.
    15. Tiwari, Aviral Kumar & Gupta, Rangan, 2019. "Chaos in G7 stock markets using over one century of data: A note," Research in International Business and Finance, Elsevier, vol. 47(C), pages 304-310.
    16. Peter A. F. Fraser‐Mackenzie & Tiejun Ma & Ming‐Chien Sung & Johnnie E. V. Johnson, 2019. "Let's Call it Quits: Break‐Even Effects in the Decision to Stop Taking Risks," Risk Analysis, John Wiley & Sons, vol. 39(7), pages 1560-1581, July.
    17. Andrew Urquhart, 2017. "How predictable are precious metal returns?," The European Journal of Finance, Taylor & Francis Journals, vol. 23(14), pages 1390-1413, November.
    18. Farhang Niroomand & Massoud Metghalchi & Massomeh Hajilee, 2020. "Efficient market hypothesis: a ruinous implication for Portugese stock market," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 44(4), pages 749-763, October.
    19. Al-Khazali, Osamah & Mirzaei, Ali, 2017. "Stock market anomalies, market efficiency and the adaptive market hypothesis: Evidence from Islamic stock indices," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 51(C), pages 190-208.
    20. Xiong, Xiong & Meng, Yongqiang & Li, Xiao & Shen, Dehua, 2019. "An empirical analysis of the Adaptive Market Hypothesis with calendar effects:Evidence from China," Finance Research Letters, Elsevier, vol. 31(C).
    21. Urquhart, Andrew & Gebka, Bartosz & Hudson, Robert, 2015. "How exactly do markets adapt? Evidence from the moving average rule in three developed markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 127-147.
    22. Huai-Long Shi & Zhi-Qiang Jiang & Wei-Xing Zhou, 2016. "Time-varying return predictability in the Chinese stock market," Papers 1611.04090, arXiv.org.
    23. Biswabhusan Bhuyan & Subhamitra Patra & Ranjan Kumar Bhuian, 2020. "Market Adaptability and Evolving Predictability of Stock Returns: An Evidence from India," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 27(4), pages 605-619, December.
    24. Tran, Vu Le & Leirvik, Thomas, 2020. "Efficiency in the markets of crypto-currencies," Finance Research Letters, Elsevier, vol. 35(C).
    25. Jasman Tuyon & Zamri Ahmada, 2016. "Behavioural finance perspectives on Malaysian stock market efficiency," Borsa Istanbul Review, Research and Business Development Department, Borsa Istanbul, vol. 16(1), pages 43-61, March.
    26. Mushinada, Venkata Narasimha Chary, 2020. "Are individual investors irrational or adaptive to market dynamics?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 25(C).
    27. Tran, Vu Le & Leirvik, Thomas, 2019. "A simple but powerful measure of market efficiency," Finance Research Letters, Elsevier, vol. 29(C), pages 141-151.
    28. Lanouar Charfeddine & Karim Ben Khediri & Goodness C. Aye & Rangan Gupta, 2017. "Time-Varying Efficiency of Developed and Emerging Bond Markets: Evidence from Long-Spans of Historical Data," Working Papers 201771, University of Pretoria, Department of Economics.
    29. Manahov, Viktor & Urquhart, Andrew, 2021. "The efficiency of Bitcoin: A strongly typed genetic programming approach to smart electronic Bitcoin markets," International Review of Financial Analysis, Elsevier, vol. 73(C).
    30. Abakah, Emmanuel Joel Aikins & Gil-Alana, Luis Alberiko & Madigu, Godfrey & Romero-Rojo, Fatima, 2020. "Volatility persistence in cryptocurrency markets under structural breaks," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 680-691.
    31. Aslam, Faheem & Memon, Bilal Ahmed & Hunjra, Ahmed Imran & Bouri, Elie, 2023. "The dynamics of market efficiency of major cryptocurrencies," Global Finance Journal, Elsevier, vol. 58(C).
    32. Onur Özdemir, 2022. "Cue the volatility spillover in the cryptocurrency markets during the COVID-19 pandemic: evidence from DCC-GARCH and wavelet analysis," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-38, December.
    33. Godfrey, Keith R.L., 2017. "Toward a model-free measure of market efficiency," Pacific-Basin Finance Journal, Elsevier, vol. 44(C), pages 97-112.
    34. Ozkan, Oktay, 2021. "Impact of COVID-19 on stock market efficiency: Evidence from developed countries," Research in International Business and Finance, Elsevier, vol. 58(C).
    35. Hiremath, Gourishankar S & Kumari, Jyoti, 2014. "Stock returns predictability and the adaptive market hypothesis in emerging markets: evidence from India," MPRA Paper 58378, University Library of Munich, Germany.
    36. Ashok Chanabasangouda Patil & Shailesh Rastogi, 2019. "Time-Varying Price–Volume Relationship and Adaptive Market Efficiency: A Survey of the Empirical Literature," JRFM, MDPI, vol. 12(2), pages 1-18, June.
    37. Ali Almail & Fahad Almudhaf, 2017. "Adaptive Market Hypothesis: Evidence from three centuries of UK data," Economics and Business Letters, Oviedo University Press, vol. 6(2), pages 48-53.
    38. Boya, Christophe M., 2019. "From efficient markets to adaptive markets: Evidence from the French stock exchange," Research in International Business and Finance, Elsevier, vol. 49(C), pages 156-165.
    39. Syeda Tayyaba Ijaz & Rabia Komal, 2015. "Role Of Hurst Exponent In Prediction Of Market Efficiency In Kse-100 Index," IBT Journal of Business Studies (JBS), Ilma University, Faculty of Management Science, vol. 11(2), pages 41-54.
    40. Alda, Mercedes, 2017. "The relationship between pension funds and the stock market: Does the aging population of Europe affect it?," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 83-97.
    41. Urquhart, Andrew & McGroarty, Frank, 2014. "Calendar effects, market conditions and the Adaptive Market Hypothesis: Evidence from long-run U.S. data," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 154-166.
    42. Siddique, Maryam, 2023. "Does the Adaptive Market Hypothesis Exist in Equity Market? Evidence from Pakistan Stock Exchange," OSF Preprints 9b5dx, Center for Open Science.
    43. Harshita & Shveta Singh & Surendra S. Yadav, 2019. "Unique Calendar Effects in the Indian Stock Market: Evidence and Explanations," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(1_suppl), pages 35-58, April.
    44. Alex Plastun & Xolani Sibande & Rangan Gupta & Mark E. Wohar, 2019. "Historical Evolution of Monthly Anomalies in International Stock Markets," Working Papers 201950, University of Pretoria, Department of Economics.
    45. Sehrish Kayani & Usman Ayub & Imran Abbas Jadoon, 2019. "Adaptive Market Hypothesis and Artificial Neural Networks: Evidence from Pakistan," Global Regional Review, Humanity Only, vol. 4(2), pages 190-203, June.
    46. Pınar Evrim Mandacı & F. Dilvin Taskın & Zeliha Can Ergun, 2019. "Adaptive Market Hypothesis," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(4), pages 84-101.
    47. Claudiu Tiberiu Albulescu & Aviral Kumar Tiwari & Phouphet Kyophilavong, 2021. "Nonlinearities and Chaos: A New Analysis of CEE Stock Markets," Mathematics, MDPI, vol. 9(7), pages 1-13, March.
    48. Kubra SARITEPECI & Ayhan KAPUSUZOGLU & Nildag Basak CEYLAN, 2023. "A Review On The Relationships Among Adaptive Markets Hypothesis, The Efficient Markets Hypothesis And Behavioural Finance," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 22(2), pages 3-12.
    49. Muhammad Naeem Shahid, 2022. "COVID-19 and adaptive behavior of returns: evidence from commodity markets," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.
    50. Yeong Sheng Tey & Mark Brindal, 2021. "Sustainability stewardship: Does roundtable on sustainable palm oil certification create shareholder value?," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 28(2), pages 786-795, March.
    51. Aumeboonsuke, Vesarach & Dryver, Arthur L., 2014. "The importance of using a test of weak-form market efficiency that does not require investigating the data first," International Review of Economics & Finance, Elsevier, vol. 33(C), pages 350-357.
    52. Charalampos Stasinakis & Georgios Sermpinis & Ioannis Psaradellis & Thanos Verousis, 2016. "Krill-Herd Support Vector Regression and heterogeneous autoregressive leverage: evidence from forecasting and trading commodities," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1901-1915, December.
    53. Faizal Hafiz & Jan Broekaert & Davide La Torre & Akshya Swain, 2021. "A Multi-criteria Approach to Evolve Sparse Neural Architectures for Stock Market Forecasting," Papers 2111.08060, arXiv.org.
    54. Urquhart, Andrew & McGroarty, Frank, 2016. "Are stock markets really efficient? Evidence of the adaptive market hypothesis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 39-49.

  43. Viktor Manahov & Robert Hudson, 2013. "New Evidence of Technical Trading Profitability," Economics Bulletin, AccessEcon, vol. 33(4), pages 2493-2503.

    Cited by:

    1. Loginov, Alexander & Heywood, Malcolm, 2020. "On the different impacts of fixed versus floating bid-ask spreads on an automated intraday stock trading," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    2. Simone Cirillo & Stefan Lloyd & Peter Nordin, 2014. "Evolving intraday foreign exchange trading strategies utilizing multiple instruments price series," Papers 1411.2153, arXiv.org.

  44. Alzahrani, Ahmed A. & Gregoriou, Andros & Hudson, Robert, 2012. "Can market frictions really explain the price impact asymmetry of block trades? Evidence from the Saudi Stock Market," Emerging Markets Review, Elsevier, vol. 13(2), pages 202-209.

    Cited by:

    1. Chaturvedula, Chakrapani & Bang, Nupur Pavan & Rastogi, Nikhil & Kumar, Satish, 2015. "Price manipulation, front running and bulk trades: Evidence from India," Emerging Markets Review, Elsevier, vol. 23(C), pages 26-45.
    2. Mahmud, Nurrul Iiyana & Masih, Mansur, 2016. "Are shariah (islamic) stock market returns stable ? evidence from the select islamic stock indices of emerging markets, USA, UK and Japan," MPRA Paper 101879, University Library of Munich, Germany.
    3. Aktas, Osman Ulas & Kryzanowski, Lawrence, 2014. "Market impacts of trades for stocks listed on the Borsa Istanbul," Emerging Markets Review, Elsevier, vol. 20(C), pages 152-175.
    4. Alzahrani, Ahmed A. & Gregoriou, Andros & Hudson, Robert, 2013. "Price impact of block trades in the Saudi stock market," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 23(C), pages 322-341.
    5. Lien, Donald & Hung, Pi-Hsia & Wu, Yi-Hsien, 2023. "An intraday analysis of block orders on the Taiwan Stock Exchange," The Quarterly Review of Economics and Finance, Elsevier, vol. 88(C), pages 133-147.
    6. Csóka, Péter & Hevér, Judit, 2018. "Portfolio valuation under liquidity constraints with permanent price impact," Finance Research Letters, Elsevier, vol. 26(C), pages 235-241.

  45. J. K. Ashton & B. Gerrard & R. Hudson, 2011. "Do national soccer results really impact on the stock market?," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3709-3717.

    Cited by:

    1. Saggu, Aman & Ante, Lennart & Demir, Ender, 2024. "Anticipatory gains and event-driven losses in blockchain-based fan tokens: Evidence from the FIFA World Cup," Research in International Business and Finance, Elsevier, vol. 70(PA).
    2. Yvon Rocaboy & Marek Pavlik, 2020. "Performance Expectations of Professional Sport Teams and In-Season Head Coach Dismissals—Evidence from the English and French Men’s Football First Divisions," Economies, MDPI, vol. 8(4), pages 1-20, October.
    3. Khuu, Joyce & Durand, Robert B. & Smales, Lee A., 2016. "Melancholia and Japanese stock returns – 2003 to 2012," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 424-437.
    4. Fung, Ka Wai Terence & Demir, Ender & Lau, Chi Keung Marco & Chan, Kwok Ho, 2015. "Reexamining sports-sentiment hypothesis: Microeconomic evidences from Borsa Istanbul," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 337-355.
    5. Andrea Schertler & Jarmo Beurden, 2023. "How relative competitive strength moderates stock price responses after European soccer tournaments," Journal of Business Economics, Springer, vol. 93(8), pages 1385-1414, October.
    6. A.E. Osuala & U.A. Onoh & G.U. Nwansi, 2018. "Presidential Election Results and Stock Market Performance: Evidence From Nigeria," Applied Economics and Finance, Redfame publishing, vol. 5(2), pages 117-124, March.
    7. Kenneth Linna & Evan Moore & Rodney Paul & Andrew Weinbach, 2014. "The Effects of the Clock and Kickoff Rule Changes on Actual and Market-Based Expected Scoring in NCAA Football," IJFS, MDPI, vol. 2(2), pages 1-14, April.
    8. Bauckloh, Tobias & Heiden, Sebastian & Klein, Christian & Zwergel, Bernhard, 2019. "New evidence on the impact of the English national soccer team on the FTSE 100," Finance Research Letters, Elsevier, vol. 28(C), pages 61-67.
    9. Scharnowski, Matthias & Scharnowski, Stefan & Zimmermann, Lukas, 2023. "Fan tokens: Sports and speculation on the blockchain," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
    10. Truong, Quang-Thai & Tran, Quynh-Nhu & Bakry, Walid & Nguyen, Duc Nguyen & Al-Mohamad, Somar, 2021. "Football sentiment and stock market returns: Evidence from a frontier market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    11. Fung, Ka Wai Terence & Demir, Ender & Lau, Marco Chi Keung & Chan, Kwok Ho, 2013. "An Examination of Sports Event Sentiment: Microeconomic Evidence from Borsa Istanbul," MPRA Paper 52874, University Library of Munich, Germany.
    12. Goodell, John W. & Kumar, Satish & Rao, Purnima & Verma, Shubhangi, 2023. "Emotions and stock market anomalies: A systematic review," Journal of Behavioral and Experimental Finance, Elsevier, vol. 37(C).
    13. Jerome Geyer-Klingeberg & Markus Hang & Matthias Walter & Andreas Rathgeber, 2018. "Do stock markets react to soccer games? A meta-regression analysis," Applied Economics, Taylor & Francis Journals, vol. 50(19), pages 2171-2189, April.

  46. Atanasova, Christina V. & Hudson, Robert S., 2010. "Technical trading rules and calendar anomalies -- Are they the same phenomena?," Economics Letters, Elsevier, vol. 106(2), pages 128-130, February.

    Cited by:

    1. Shynkevich, Andrei, 2012. "Performance of technical analysis in growth and small cap segments of the US equity market," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 193-208.
    2. KUMAR Satish, 2017. "A Review On The Evolution Of Calendar Anomalies," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 12(1), pages 95-109, April.
    3. Viktor Manahov & Robert Hudson, 2013. "New Evidence of Technical Trading Profitability," Economics Bulletin, AccessEcon, vol. 33(4), pages 2493-2503.
    4. Urquhart, Andrew & Gebka, Bartosz & Hudson, Robert, 2015. "How exactly do markets adapt? Evidence from the moving average rule in three developed markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 127-147.
    5. Lenz, Guido & Mayer, Maximilian, 2023. "Hollywood, Wall Street, and Mistrusting Individual Investors," Journal of Economic Behavior & Organization, Elsevier, vol. 210(C), pages 117-138.
    6. Urquhart, Andrew & McGroarty, Frank, 2014. "Calendar effects, market conditions and the Adaptive Market Hypothesis: Evidence from long-run U.S. data," International Review of Financial Analysis, Elsevier, vol. 35(C), pages 154-166.
    7. Ayman Abdalmajeed Ahmad Al-Smadi & Mahmoud Khalid Almsafir & Nur Hanis Hazwani Binti Husni, 2018. "Trends And Calendar Effects In Malaysia’S Stock Market," Romanian Economic Business Review, Romanian-American University, vol. 13(2), pages 15-22, June.
    8. Gebka, Bartosz & Hudson, Robert S. & Atanasova, Christina V., 2015. "The benefits of combining seasonal anomalies and technical trading rules," Finance Research Letters, Elsevier, vol. 14(C), pages 36-44.
    9. Strobel, Marcus & Auer, Benjamin R., 2018. "Does the predictive power of variable moving average rules vanish over time and can we explain such tendencies?," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 168-184.

  47. Amini, Shima & Hudson, Robert & Keasey, Kevin, 2010. "Stock return predictability despite low autocorrelation," Economics Letters, Elsevier, vol. 108(1), pages 101-103, July.

    Cited by:

    1. Andrew Urquhart, 2017. "How predictable are precious metal returns?," The European Journal of Finance, Taylor & Francis Journals, vol. 23(14), pages 1390-1413, November.
    2. Xue, Wen-Jun & Zhang, Li-Wen, 2017. "Stock return autocorrelations and predictability in the Chinese stock market—Evidence from threshold quantile autoregressive models," Economic Modelling, Elsevier, vol. 60(C), pages 391-401.
    3. Wen-Jun Xue & Li-Wen Zhang, 2016. "Stock Return Autocorrelations and Predictability in the Chinese Stock Market: Evidence from Threshold Quantile Autoregressive Models," Working Papers 1605, Florida International University, Department of Economics.
    4. Siddique, Maryam, 2023. "Does the Adaptive Market Hypothesis Exist in Equity Market? Evidence from Pakistan Stock Exchange," OSF Preprints 9b5dx, Center for Open Science.
    5. Liam Ison & Robert Hudson, 2017. "Stock predictability and preceding stock price changes – evidence from central and eastern european markets," Economics Bulletin, AccessEcon, vol. 37(2), pages 733-740.
    6. Amini, Shima & Gebka, Bartosz & Hudson, Robert & Keasey, Kevin, 2013. "A review of the international literature on the short term predictability of stock prices conditional on large prior price changes: Microstructure, behavioral and risk related explanations," International Review of Financial Analysis, Elsevier, vol. 26(C), pages 1-17.
    7. Muhammad Naeem Shahid, 2022. "COVID-19 and adaptive behavior of returns: evidence from commodity markets," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-15, December.
    8. Urquhart, Andrew & McGroarty, Frank, 2016. "Are stock markets really efficient? Evidence of the adaptive market hypothesis," International Review of Financial Analysis, Elsevier, vol. 47(C), pages 39-49.

  48. Radha K. Shiwakoti & Kevin Keasey & Robert Hudson, 2008. "Comparative performance of UK mutual building societies and stock retail banks: further evidence," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 48(2), pages 319-336, June.

    Cited by:

    1. Shiwakoti, Radha K. & Iqbal, Abdullah & Funnell, Warwick, 2018. "Organizational form, business strategies and the demise of demutualized building societies in the UK," Journal of Banking & Finance, Elsevier, vol. 94(C), pages 337-350.
    2. Hanxiong Zhang & Robert Hudson & Hugh Metcalf & Viktor Manahov, 2017. "Investigation of institutional changes in the UK housing market using structural break tests and time-varying parameter models," Empirical Economics, Springer, vol. 53(2), pages 617-640, September.
    3. Batiz-Lazo, Bernardo & Billings, Mark, 2009. "Comparative performance of UK mutual building societies and stock retail banks: further evidence: a comment," MPRA Paper 21171, University Library of Munich, Germany.
    4. Tschöpel, Michael, 2012. "Die Wirkungskanäle der genossenschaftlichen Eigentümermerkmale: Implikationen für das mitgliederorientierte Management in Genossenschaftsbanken," Arbeitspapiere 127, University of Münster, Institute for Cooperatives.

  49. Ashton, John K. & Hudson, Robert S., 2008. "Interest rate clustering in UK financial services markets," Journal of Banking & Finance, Elsevier, vol. 32(7), pages 1393-1403, July.
    See citations under working paper version above.
  50. Charlie X. Cai & David Hillier & Robert Hudson & Kevin Keasey, 2008. "Trading Frictions and Market Structure: An Empirical Analysis," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(3‐4), pages 563-579, April.

    Cited by:

    1. Zhang, Qi & Cai, Charlie X. & Keasey, Kevin, 2013. "Market reaction to earnings news: A unified test of information risk and transaction costs," Journal of Accounting and Economics, Elsevier, vol. 56(2), pages 251-266.
    2. George F. Tannous & Ying Zhang, 2008. "Cross‐listing and Trading on the Domestic Market: Evidence from Canada–US Partial Holidays," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(9‐10), pages 1245-1275, November.
    3. Kaun Y. Lee & Kee H. Chung, 2009. "Information‐Based Trading and Price Improvement," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 36(5‐6), pages 754-773, June.

  51. Robert Hudson, 2008. "Has regulation killed off the defined benefit scheme as a cost effective tool for human resource management?," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 16(3), pages 220-229, July.

    Cited by:

    1. Kaifala, Gabriel B. & Paisey, Catriona & Paisey, Nicholas J., 2021. "The UK pensions landscape – A critique of the role of accountants and accounting technologies in the treatment of social and societal risks," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 75(C).

  52. Robert Hudson, 2007. "Mortality projections and unisex pricing of annuities in the UK," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 15(2), pages 166-179, May.

    Cited by:

    1. Deborah Mabbett, 2011. "A Rights Revolution in Europe? Regulatory and judicial approaches to nondiscrimination in insurance," LEQS – LSE 'Europe in Question' Discussion Paper Series 38, European Institute, LSE.
    2. Mabbett, Deborah, 2015. "Polanyi in the European Single Market: The Re-Regulation of Insurance," economic sociology. perspectives and conversations, Max Planck Institute for the Study of Societies, vol. 17(1), pages 25-31.
    3. Deborah Mabbett, 2014. "Polanyi in Brussels or Luxembourg? Social rights and market regulation in European insurance," Regulation & Governance, John Wiley & Sons, vol. 8(2), pages 186-202, June.
    4. Deborah Mabbett, 2011. "A Rights Revolution in Europe? Regulatory and judicial approaches to nondiscrimination in insurance," Europe in Question Discussion Paper Series of the London School of Economics (LEQs) 8, London School of Economics / European Institute.

  53. Hagendorff, Jens & Hudson, Robert & Keasey, Kevin, 2006. "Electronic trading platforms and the cost-effective distribution of open market option (OMO) pension annuities," International Journal of Information Management, Elsevier, vol. 26(3), pages 187-195.

    Cited by:

    1. Ranerup, Agneta & Norén, Lars, 2015. "How are citizens’ public service choices supported in quasi-markets?," International Journal of Information Management, Elsevier, vol. 35(5), pages 527-537.

  54. Summers, Barbara & Duxbury, Darren & Hudson, Robert & Keasey, Kevin, 2006. "As time goes by: An investigation of how asset allocation varies with investor age," Economics Letters, Elsevier, vol. 91(2), pages 210-214, May.

    Cited by:

    1. Kim Klyver & Noel J. Lindsay & Suleiman K. “Sul” Kassicieh & Gary Hancock, 2017. "Altruistic investment decision behavior in early-stage ventures," Small Business Economics, Springer, vol. 48(1), pages 135-152, January.
    2. Jean S. Clarke & Joep P. Cornelissen & Mark Healey, 2019. "Actions Speak Louder than Words : How Figurative Language and Gesturing in Entrepreneurial Pitches Influences Investment Judgments," Post-Print hal-02276704, HAL.
    3. Jalilvand, Abolhassan & Noroozabad, Mojtaba Rostami & Switzer, Jeannette, 2018. "Informed and uninformed investors in Iran: Evidence from the Tehran Stock Exchange," Journal of Economics and Business, Elsevier, vol. 95(C), pages 47-58.

  55. Christine Ironfield‐Smith & Kevin Keasey & Barbara Summers & Darren Duxbury & Robert Hudson, 2005. "Consumer debt in the UK: Attitudes and implications," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 13(2), pages 132-141, June.

    Cited by:

    1. Morris Irungu Kariuki PhD, 2022. "Effect of Debt Experiences on The Indebtedness of Employees in The Formal Sector in Kenya," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(10), pages 414-423, October.

  56. Chong, Ryan & Hudson, Robert & Keasey, Kevin & Littler, Kevin, 2005. "Pre-holiday effects: International evidence on the decline and reversal of a stock market anomaly," Journal of International Money and Finance, Elsevier, vol. 24(8), pages 1226-1236, December.

    Cited by:

    1. Terence Tai-Leung Chong & Siqi Hou, 2021. "Will stock rise on Valentine’s Day?," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 14(5), pages 646-667, May.
    2. Laura Birg & Anna Goeddeke, 2016. "Christmas Economics—A Sleigh Ride," Economic Inquiry, Western Economic Association International, vol. 54(4), pages 1980-1984, October.
    3. Joao Dionisio Monteiro & Jose Luis Miralles-Quiros & Jose Ramos Pires Manso, 2018. "Is There Seasonality in Traded and Non-Traded Period Returns in the US Equity Market? A Multiple Structural Change Approach," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(1), pages 71-98, February.
    4. Harald Kinateder & Kimberly Weber & Niklas F. Wagner, 2019. "Revisiting Calendar Anomalies In Brics Countries," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 22(2), pages 213-236, July.
    5. Białkowski, Jędrzej & Bohl, Martin T. & Kaufmann, Philipp & Wisniewski, Tomasz P., 2013. "Do mutual fund managers exploit the Ramadan anomaly? Evidence from Turkey," Emerging Markets Review, Elsevier, vol. 15(C), pages 211-232.
    6. Boubaker, Sabri & Essaddam, Naceur & Nguyen, Duc Khuong & Saadi, Samir, 2017. "On the robustness of week-day effect to error distributional assumption: International evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 47(C), pages 114-130.
    7. Casalin, Fabrizio, 2018. "Determinants of holiday effects in mainland Chinese and Hong-Kong markets," China Economic Review, Elsevier, vol. 49(C), pages 45-67.
    8. Qadan, Mahmoud & Kliger, Doron, 2016. "The short trading day anomaly," Journal of Empirical Finance, Elsevier, vol. 38(PA), pages 62-80.
    9. Tian Yuan & Rakesh Gupta & Robert J. Bianchi, 2015. "The Pre-Holiday Effect in China: Abnormal Returns or Compensation for Risk?," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1-28.
    10. Andrew Worthington, 2010. "The decline of calendar seasonality in the Australian stock exchange, 1958–2005," Annals of Finance, Springer, vol. 6(3), pages 421-433, July.
    11. Hudson, Robert S. & Gregoriou, Andros, 2015. "Calculating and comparing security returns is harder than you think: A comparison between logarithmic and simple returns," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 151-162.
    12. Andrew C. Worthington, 2007. "National Exuberance: A Note On The Melbourne Cup Effect In Australian Stock Returns," Economic Papers, The Economic Society of Australia, vol. 26(2), pages 170-179, June.
    13. Bogdan Batrinca & Christian W. Hesse & Philip C. Treleaven, 2018. "European trading volumes on cross‐market holidays," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 23(4), pages 675-704, October.
    14. J. K. Ashton & B. Gerrard & R. Hudson, 2011. "Do national soccer results really impact on the stock market?," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3709-3717.
    15. Dumitriu, Ramona & Stefanescu, Razvan & Nistor, Costel, 2012. "Holiday effects during quiet and turbulent times," MPRA Paper 41625, University Library of Munich, Germany, revised 07 Mar 2012.
    16. Carlos Francisco Alves & Duarte André de Castro Reis, 2018. "Evidence of Idiosyncratic Seasonality in ETFs Performance," FEP Working Papers 603, Universidade do Porto, Faculdade de Economia do Porto.
    17. Yuan, Tian & Gupta, Rakesh, 2014. "Chinese Lunar New Year effect in Asian stock markets, 1999–2012," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(4), pages 529-537.
    18. Soufian, Mona & Forbes, William & Hudson, Robert, 2014. "Adapting financial rationality: Is a new paradigm emerging?," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 25(8), pages 724-742.
    19. Harshita & Shveta Singh & Surendra S. Yadav, 2019. "Unique Calendar Effects in the Indian Stock Market: Evidence and Explanations," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 18(1_suppl), pages 35-58, April.
    20. Mehmet Akbulut & Su Han Chan & Mariya Letdin, 2015. "Calendar Anomalies: Do REITs Behave Like Stocks?," International Real Estate Review, Global Social Science Institute, vol. 18(2), pages 177-215.
    21. Magnone, Edoardo, 2013. "A scientometric look at calendar events," Journal of Informetrics, Elsevier, vol. 7(1), pages 101-108.
    22. Dumitriu, Ramona & Stefanescu, Răzvan, 2020. "The Extended Holiday Effect on US capital market," MPRA Paper 100463, University Library of Munich, Germany, revised 17 May 2020.
    23. Qadan, Mahmoud & Aharon, David Y. & Cohen, Gil, 2020. "Everybody likes shopping, including the US capital market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    24. Lobão, Júlio, 2019. "Seasonal anomalies in the market for American depository receipts," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 24(48), pages 241-265.
    25. Razvan STEFANESCU & Ramona DUMITRIU, 2018. "Changes in the stocks prices behavior before and after the public holidays: case of Bucharest Stock Exchange," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 189-202.
    26. Xing Lu & Neel Patel, 2016. "Festivity Anomaly in Indian Stock Market," Economics Bulletin, AccessEcon, vol. 36(2), pages 851-856.
    27. Doojin Ryu & Jinyoung Yu, 2021. "Informed options trading around holidays," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(5), pages 658-685, May.
    28. Lahav, Eyal & Shavit, Tal & Benzion, Uri, 2016. "Can't wait to celebrate: Holiday euphoria, impulsive behavior and time preference," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 128-134.
    29. Gould, John & Yang, Joey W. & Singh, Ranjodh & Yeo, Ben, 2023. "The seasonality of lottery-like stock returns," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 383-400.

  57. Duxbury, Darren & Hudson, Robert & Keasey, Kevin & Summers, Barbara, 2005. "Should actions speak louder than words? Individuals' attitudes and behavior in asset allocation choices," Economics Letters, Elsevier, vol. 89(1), pages 107-111, October.

    Cited by:

    1. Summers, Barbara & Duxbury, Darren, 2012. "Decision-dependent emotions and behavioral anomalies," Organizational Behavior and Human Decision Processes, Elsevier, vol. 118(2), pages 226-238.

  58. Bokhari, Jawaad & Cai, Charlie & Hudson, Robert & Keasey, Kevin, 2005. "The predictive ability and profitability of technical trading rules: does company size matter?," Economics Letters, Elsevier, vol. 86(1), pages 21-27, January.

    Cited by:

    1. Hudson, Robert S. & Gregoriou, Andros, 2015. "Calculating and comparing security returns is harder than you think: A comparison between logarithmic and simple returns," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 151-162.
    2. Atanasova, Christina V. & Hudson, Robert S., 2010. "Technical trading rules and calendar anomalies -- Are they the same phenomena?," Economics Letters, Elsevier, vol. 106(2), pages 128-130, February.
    3. Lönnbark, Carl & Soultanaeva, Albina, 2009. "Profitability of Technical Trading Rules on the Baltic Stock Markets," Umeå Economic Studies 761, Umeå University, Department of Economics.
    4. Shynkevich, Andrei, 2012. "Short-term predictability of equity returns along two style dimensions," Journal of Empirical Finance, Elsevier, vol. 19(5), pages 675-685.
    5. Gebka, Bartosz & Hudson, Robert S. & Atanasova, Christina V., 2015. "The benefits of combining seasonal anomalies and technical trading rules," Finance Research Letters, Elsevier, vol. 14(C), pages 36-44.
    6. Gerardo Alfonso & Daniel R. Ramirez, 2020. "A Nonlinear Technical Indicator Selection Approach for Stock Markets. Application to the Chinese Stock Market," Mathematics, MDPI, vol. 8(8), pages 1-15, August.
    7. Manahov, Viktor & Hudson, Robert & Linsley, Philip, 2014. "New evidence about the profitability of small and large stocks and the role of volume obtained using Strongly Typed Genetic Programming," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 33(C), pages 299-316.

  59. Charlie X. Cai & Robert Hudson & Kevin Keasey, 2004. "Intra Day Bid‐Ask Spreads, Trading Volume and Volatility: Recent Empirical Evidence from the London Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 647-676, June.

    Cited by:

    1. Evans, Kevin P. & Speight, Alan E.H., 2010. "Intraday periodicity, calendar and announcement effects in Euro exchange rate volatility," Research in International Business and Finance, Elsevier, vol. 24(1), pages 82-101, January.
    2. Andreas Park, 2008. "Bid-Ask Spreads and Volume:The Role of Trade Timing," Working Papers tecipa-309, University of Toronto, Department of Economics.
    3. Eross, Andrea & McGroarty, Frank & Urquhart, Andrew & Wolfe, Simon, 2019. "The intraday dynamics of bitcoin," Research in International Business and Finance, Elsevier, vol. 49(C), pages 71-81.
    4. Andros Gregoriou & Christos Ioannidis & Len Skerratt, 2005. "Information Asymmetry and the Bid‐Ask Spread: Evidence From the UK," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(9‐10), pages 1801-1826, November.
    5. Malinova, Katya & Park, Andreas, 2014. "The impact of competition and information on intraday trading," Journal of Banking & Finance, Elsevier, vol. 44(C), pages 55-71.
    6. Koubaa, Yosra & Slim, Skander, 2019. "The relationship between trading activity and stock market volatility: Does the volume threshold matter?," Economic Modelling, Elsevier, vol. 82(C), pages 168-184.
    7. Katya Malinova & Andreas Park, 2009. "Intraday Trading Patterns: The Role of Timing," Working Papers tecipa-365, University of Toronto, Department of Economics.
    8. Shimeng Shi & Yukun Shi, 2021. "Bitcoin futures: trade it or ban it?," The European Journal of Finance, Taylor & Francis Journals, vol. 27(4-5), pages 381-396, March.
    9. Carol Alexander & Daniel Heck & Andreas Kaeck, 2021. "The Role of Binance in Bitcoin Volatility Transmission," Papers 2107.00298, arXiv.org, revised Aug 2021.
    10. Angelidis, Timotheos & Andrikopoulos, Andreas, 2010. "Idiosyncratic risk, returns and liquidity in the London Stock Exchange: A spillover approach," International Review of Financial Analysis, Elsevier, vol. 19(3), pages 214-221, June.
    11. Chelley-Steeley, Patricia & Park, Keebong, 2011. "Intraday patterns in London listed Exchange Traded Funds," International Review of Financial Analysis, Elsevier, vol. 20(5), pages 244-251.
    12. Jonathan Batten & Brian Lucey & Frank McGroarty & Maurice Peat & Andrew Urquhart, 2017. "Stylized facts of intraday precious metals," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-21, April.
    13. Miralles-Quirós, José Luis & Daza-Izquierdo, Julio, 2015. "Do DOW returns really influence the intraday Spanish stock market behavior?," Research in International Business and Finance, Elsevier, vol. 33(C), pages 99-126.
    14. Liu, Qingfu & Hua, Renhai & An, Yunbi, 2016. "Determinants and information content of intraday bid-ask spreads: Evidence from Chinese commodity futures markets," Pacific-Basin Finance Journal, Elsevier, vol. 38(C), pages 135-148.
    15. Frank McGroarty & Owain ap Gwilym & Stephen Thomas, 2007. "The Components of Electronic Inter‐Dealer Spot FX Bid‐Ask Spreads," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 34(9‐10), pages 1635-1650, November.
    16. B.B. Chakrabarti & Vivek Rajvanshi, 2017. "Intraday Periodicity and Volatility Forecasting: Evidence from Indian Crude Oil Futures Market," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 16(1), pages 1-28, April.
    17. Su, Fei & Wang, Xinyi & Yuan, Yulin, 2022. "The intraday dynamics and intraday price discovery of bitcoin," Research in International Business and Finance, Elsevier, vol. 60(C).
    18. Xu, Yanyan & Huang, Dengshi & Ma, Feng & Qiao, Gaoxiu, 2019. "The heterogeneous impact of liquidity on volatility in Chinese stock index futures market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 73-85.
    19. Charlie X. Cai & David Hillier & Robert Hudson & Kevin Keasey, 2008. "Trading Frictions and Market Structure: An Empirical Analysis," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 35(3‐4), pages 563-579, April.
    20. Qingfu Liu & Qian Luo & Yiuman Tse & Yuchi Xie, 2020. "The market quality of commodity futures markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(11), pages 1751-1766, November.
    21. Wang, Jying-Nan & Liu, Hung-Chun & Hsu, Yuan-Teng, 2020. "Time-of-day periodicities of trading volume and volatility in Bitcoin exchange: Does the stock market matter?," Finance Research Letters, Elsevier, vol. 34(C).
    22. Kim, Yong H. & Yang, J. Jimmy, 2008. "The effect of price limits on intraday volatility and information asymmetry," Pacific-Basin Finance Journal, Elsevier, vol. 16(5), pages 522-538, November.
    23. Isa E. Hafalir & Serkan Imisiker, 2022. "Call Auctions with Contingent Orders," Games, MDPI, vol. 13(5), pages 1-8, September.

  60. Charlie Cai & Robert Hudson & Kevin Keasey, 2003. "Trading frequency and the compass rose," Applied Economics Letters, Taylor & Francis Journals, vol. 10(8), pages 511-517.

    Cited by:

    1. Ng, Wing Lon, 2006. "Overreaction and multiple tail dependence at the high-frequency level: The copula rose," SFB 649 Discussion Papers 2006-086, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.

  61. Kevin Littler & Robert Hudson, 2003. "The impact of regulatory change on retail financial product distribution in the UK," Journal of Financial Regulation and Compliance, Emerald Group Publishing Limited, vol. 11(1), pages 71-80, March.

    Cited by:

    1. Elsa Clara Massoc & Cyril Benoît, 2023. "A tale of dualization: accounting for the partial marketization of regulated savings in France," Post-Print hal-04220435, HAL.

  62. J. K. Ashton & B. Gerrard & R. Hudson, 2003. "Economic impact of national sporting success: evidence from the London stock exchange," Applied Economics Letters, Taylor & Francis Journals, vol. 10(12), pages 783-785.

    Cited by:

    1. Supino, Enrico & Tenucci, Andrea & Di Nanna, Gianluca, 2024. "Sports failures and stock returns between rationality and emotionality: Evidence from the UEFA Champions League," Research in International Business and Finance, Elsevier, vol. 70(PB).
    2. Lee J. Alston & Gary D. Libecap & Bernardo Mueller, 2010. "Interest Groups, Information Manipulation in the Media, and Public Policy: The Case of the Landless Peasants Movement in Brazil," NBER Working Papers 15865, National Bureau of Economic Research, Inc.
    3. Harjito, Dwipraptono Agus & Alam, Md. Mahmudul & Dewi, Rani Ayu Kusuma, 2021. "Impacts of International Sports Events on the Stock Market: Evidence from the Announcement of the 18th Asian Games and 30th Southeast Asian Games," OSF Preprints 4dgne, Center for Open Science.
    4. Süssmuth Bernd & Wagner Stefan, 2012. "A Market’s Reward Scheme, Media Attention, and the Transitory Success of Managerial Change," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 232(3), pages 258-278, June.
    5. Kaplanski, Guy & Levy, Haim, 2010. "Exploitable Predictable Irrationality: The FIFA World Cup Effect on the U.S. Stock Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(2), pages 535-553, April.
    6. Saggu, Aman & Ante, Lennart & Demir, Ender, 2024. "Anticipatory gains and event-driven losses in blockchain-based fan tokens: Evidence from the FIFA World Cup," Research in International Business and Finance, Elsevier, vol. 70(PA).
    7. Amélie Charles & Olivier Darné, 2016. "Stock market reactions to FIFA World Cup announcements: An event study," Economics Bulletin, AccessEcon, vol. 36(4), pages 2028-2036.
    8. 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.
    9. Fakhrul Hasan & Basil Al-Najjar, 2024. "Exploring the connections: Dividend announcements, stock market returns, and major sporting events," Review of Quantitative Finance and Accounting, Springer, vol. 63(3), pages 889-923, October.
    10. Adrian Bell & Chris Brooks & David Matthews & Charles Sutcliffe, 2011. "Over the Moon or Sick as a Parrot? The Effects of Football Results on a Club's Share Price," Post-Print hal-00709557, HAL.
    11. Fan, Qingliang & Wang, Ting, 2018. "Game day effect on stock market: Evidence from four major sports leagues in US," Journal of Behavioral and Experimental Finance, Elsevier, vol. 20(C), pages 9-18.
    12. Massimiliano Castellani & Pierpaolo Pattitoni & Roberto Patuelli, 2011. "Abnormal Returns of Soccer Teams: Reassessing the Informational Value of Betting Odds," Working Paper series 26_11, Rimini Centre for Economic Analysis, revised Aug 2013.
    13. Georg Stadtmann, 2006. "Frequent News and Pure Signals: The Case of a Publicly Traded Football Club," Working Papers 0603, International Association of Sports Economists;North American Association of Sports Economists.
    14. ?lker Sakinc, 2014. "Using Grey Relational Analysis to Determine the Financial Performance of Turkish Football Clubs," Proceedings of International Academic Conferences 0802246, International Institute of Social and Economic Sciences.
    15. Khuu, Joyce & Durand, Robert B. & Smales, Lee A., 2016. "Melancholia and Japanese stock returns – 2003 to 2012," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 424-437.
    16. Carsten Croonenbroeck & Fabrizio Leonardo Monaco & Mads Julius Christensen, 2015. "Does Danish Football Club Brøndby Swim With the Fishes? An Application of the Reversed News Model," Journal of Sports Economics, , vol. 16(4), pages 425-433, May.
    17. Dennis Coates & Brad R. Humphreys, 2008. "The Effect of On-Field Success on Stock Prices: Evidence from Nippon Professional Baseball," Working Papers 0805, International Association of Sports Economists;North American Association of Sports Economists.
    18. Berument, Hakan & Yucel, Eray M., 2005. "Long live Fenerbahce: The production boosting effects of football," Journal of Economic Psychology, Elsevier, vol. 26(6), pages 842-861, December.
    19. Maliheh Taheri & Pia Rotshtein & Ulrik Beierholm, 2018. "The effect of attachment and environmental manipulations on cooperative behavior in the prisoner’s dilemma game," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-17, November.
    20. Robert Gasquez & Vicente Royuela, 2012. "Is football an indicator of development at the international level?," Working Papers in Economics 275, Universitat de Barcelona. Espai de Recerca en Economia.
    21. Kaplanski, Guy & Levy, Haim, 2014. "Sentiment, irrationality and market efficiency: The case of the 2010 FIFA World Cup," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 49(C), pages 35-43.
    22. Jean-Marc Falter & Christophe Pérignon & Olivier Vercruysse, 2008. "Impact of Overwhelming Joy on Consumer Demand," Journal of Sports Economics, , vol. 9(1), pages 20-42, February.
    23. Richard Duhautois & Bastien Drut, 2017. "Is work duration in France affected by football tournaments?," Economics and Business Letters, Oviedo University Press, vol. 6(1), pages 14-19.
    24. J. K. Ashton & B. Gerrard & R. Hudson, 2011. "Do national soccer results really impact on the stock market?," Applied Economics, Taylor & Francis Journals, vol. 43(26), pages 3709-3717.
    25. John Manuel Luiz & Riyas Fadal, 2011. "An economic analysis of sports performance in Africa," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 38(10), pages 869-883, August.
    26. Jørgensen, Casper W. & Moritzen, Mark R. & Stadtmann, Georg, 2012. "The news model of asset price determination: An empirical examination of the Danish football club Brøndby IF," Discussion Papers 313, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    27. Dimitrios Kourtidis & Željko Šević & Prodromos Chatzoglou, 2016. "Mood and stock returns: evidence from Greece," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(2), pages 242-258, May.
    28. In Kang & Cheolbeom Park, 2015. "Soccer sentiment and investment opportunities in the Korean stock market," Asia-Pacific Journal of Accounting & Economics, Taylor & Francis Journals, vol. 22(2), pages 213-226, June.
    29. Ýlker SAKINÇ, 2014. "Export Price Stability and Compatibility of Euro under the Export- Biased Productivity Growth in Turkey: A Criticism against the Maastricht Inflation Criterion," Journal of Economics Library, KSP Journals, vol. 1(1), pages 22-33, December.
    30. Christian Klein & Bernhard Zwergel & J. Henning Fock, 2009. "Reconsidering the impact of national soccer results on the FTSE 100," Applied Economics, Taylor & Francis Journals, vol. 41(25), pages 3287-3294.
    31. Sascha Kolaric & Zvonimir Pusic & Dirk Schiereck, 2015. "Fußball und Anlegerverhalt en im internationalen Vergleich: Evidenz von 12 Kontinentalmeisterschaften," Schmalenbach Journal of Business Research, Springer, vol. 67(3), pages 297-328, September.
    32. Tihana Škrinjarić Patrik Barišić, 2019. "Effects of Football Match Results of Croatian National Team on Stock Returns: Evidence from Zagreb Stock Exchange," Zagreb International Review of Economics and Business, Faculty of Economics and Business, University of Zagreb, vol. 22(1), pages 13-45, May.
    33. Peter Dawson & Paul Downward & Terence C. Mills, 2014. "Olympic news and attitudes towards the Olympics: a compositional time-series analysis of how sentiment is affected by events," Journal of Applied Statistics, Taylor & Francis Journals, vol. 41(6), pages 1307-1314, June.
    34. Christian Klein & Bernhard Zwergel & Sebastian Heiden, 2009. "On the existence of sports sentiment: the relation between football match results and stock index returns in Europe," Review of Managerial Science, Springer, vol. 3(3), pages 191-208, November.
    35. Chang, Shao-Chi & Chen, Sheng-Syan & Chou, Robin K. & Lin, Yueh-Hsiang, 2012. "Local sports sentiment and returns of locally headquartered stocks: A firm-level analysis," Journal of Empirical Finance, Elsevier, vol. 19(3), pages 309-318.
    36. Bauckloh, Tobias & Heiden, Sebastian & Klein, Christian & Zwergel, Bernhard, 2019. "New evidence on the impact of the English national soccer team on the FTSE 100," Finance Research Letters, Elsevier, vol. 28(C), pages 61-67.
    37. Scharnowski, Matthias & Scharnowski, Stefan & Zimmermann, Lukas, 2023. "Fan tokens: Sports and speculation on the blockchain," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 89(C).
    38. Aurora Murgea & Milena-Jana Schank, 2016. "Why do Goals Matter? Sport Events and Capital Market Returns," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 577-582, February.
    39. Truong, Quang-Thai & Tran, Quynh-Nhu & Bakry, Walid & Nguyen, Duc Nguyen & Al-Mohamad, Somar, 2021. "Football sentiment and stock market returns: Evidence from a frontier market," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    40. Drummond, Philip A., 2023. "Market quality surrounding anticipated distraction events: Evidence from the FIFA World Cup," Journal of Financial Markets, Elsevier, vol. 63(C).
    41. Jørgensen, Casper W. & Moritzen, Mark R. & Stadtmann, Georg, 2012. "The news model of asset price determination - An empirical examination of the Danish football club Brøndby IF," Discussion Papers on Economics 3/2012, University of Southern Denmark, Department of Economics.
    42. Fung, Ka Wai Terence & Demir, Ender & Lau, Marco Chi Keung & Chan, Kwok Ho, 2013. "An Examination of Sports Event Sentiment: Microeconomic Evidence from Borsa Istanbul," MPRA Paper 52874, University Library of Munich, Germany.
    43. Furnham, Adrian & Milner, Rebecca, 2013. "The impact of mood on customer behavior: Staff mood and environmental factors," Journal of Retailing and Consumer Services, Elsevier, vol. 20(6), pages 634-641.
    44. Alex Edmans & Diego García & Øyvind Norli, 2007. "Sports Sentiment and Stock Returns," Journal of Finance, American Finance Association, vol. 62(4), pages 1967-1998, August.
    45. Frühwirth, Manfred & Sögner, Leopold, 2015. "Weather and SAD related mood effects on the financial market," The Quarterly Review of Economics and Finance, Elsevier, vol. 57(C), pages 11-31.
    46. Mishra, Vinod & Smyth, Russell, 2010. "An examination of the impact of India's performance in one-day cricket internationals on the Indian stock market," Pacific-Basin Finance Journal, Elsevier, vol. 18(3), pages 319-334, June.
    47. Jerome Geyer-Klingeberg & Markus Hang & Matthias Walter & Andreas Rathgeber, 2018. "Do stock markets react to soccer games? A meta-regression analysis," Applied Economics, Taylor & Francis Journals, vol. 50(19), pages 2171-2189, April.
    48. Alper Veli ÇAM, 2015. "The Effects of Sporting Success on Stock Returns: An Application in Istanbul Stock Exchange," Journal of Economics Library, KSP Journals, vol. 2(3), pages 147-154, September.
    49. Elisabete F. Simões Vieira, 2012. "Investor sentiment and market reaction: evidence on 2010 FIFA World Cup," International Journal of Economics and Accounting, Inderscience Enterprises Ltd, vol. 3(1), pages 51-76.

  63. Wang, Eliza & Hudson, Robert & Keasey, Kevin, 2000. "Tick size and the compass rose: further insights," Economics Letters, Elsevier, vol. 68(2), pages 119-125, August.

    Cited by:

    1. Antonios Antoniou & Constantinos E. Vorlow, 2004. "Price Clustering and Discreteness: Is there Chaos behind the Noise?," Papers cond-mat/0407471, arXiv.org.
    2. Mitchell, Heather & McKenzie, Michael D., 2006. "A note on the Wang and Wang measure of the quality of the compass rose," Journal of Banking & Finance, Elsevier, vol. 30(12), pages 3519-3524, December.
    3. Constantinos E. Vorlow, 2004. "Stock Price Clustering and Discreteness: The "Compass Rose" and Predictability," Papers cond-mat/0408013, arXiv.org.
    4. Antoniou, Antonios & Vorlow, Constantinos E., 2005. "Price clustering and discreteness: is there chaos behind the noise?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 348(C), pages 389-403.
    5. Ng, Wing Lon, 2006. "Overreaction and multiple tail dependence at the high-frequency level: The copula rose," SFB 649 Discussion Papers 2006-086, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    6. Charlie X. Cai & Robert Hudson & Kevin Keasey, 2004. "Intra Day Bid‐Ask Spreads, Trading Volume and Volatility: Recent Empirical Evidence from the London Stock Exchange," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(5‐6), pages 647-676, June.

  64. Robert Hudson, 1997. "Long-Term Care: The New Risks of Old Age," Challenge, Taylor & Francis Journals, vol. 40(3), pages 103-115, May.

    Cited by:

    1. Walter M. Cadette, 1999. "Financing Long-Term Care: Options for Policy," Economics Working Paper Archive wp_283, Levy Economics Institute.
    2. Walter M. Cadette, 2000. "Financing Long-Term Care: Options for Policy," Macroeconomics 0004030, University Library of Munich, Germany.
    3. Walter M. Cadette, "undated". "Financing Long-Term Care, Replacing a Welfare: Model with an Insurance Model," Economics Public Policy Brief Archive ppb_59, Levy Economics Institute.

  65. Hudson, Robert & Dempsey, Michael & Keasey, Kevin, 1996. "A note on the weak form efficiency of capital markets: The application of simple technical trading rules to UK stock prices - 1935 to 1994," Journal of Banking & Finance, Elsevier, vol. 20(6), pages 1121-1132, July.

    Cited by:

    1. James J. Kung & Wing‐Keung Wong, 2009. "Efficiency Of The Taiwan Stock Market," The Japanese Economic Review, Japanese Economic Association, vol. 60(3), pages 389-394, September.
    2. Groenewold, Nicolaas & Kan Tang, Sam Hak & Wu, Yanrui, 2008. "The profitability of regression-based trading rules for the Shanghai stock market," International Review of Financial Analysis, Elsevier, vol. 17(2), pages 411-430.
    3. Hesham I. Almujamed & Suzanne G. M. Fifield & David M. Power, 2018. "An Investigation of the Weak Form of the Efficient Markets Hypothesis for the Kuwait Stock Exchange," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(1), pages 1-28, April.
    4. Edward R Dawson & James M. Steeley, 2003. "On the Existence of Visual Technical Patterns in the UK Stock Market," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(1‐2), pages 263-293, January.
    5. Michael McAleer & John Suen & Wing Keung Wong, 2016. "Profiteering from the Dot-Com Bubble, Subprime Crisis and Asian Financial Crisis," The Japanese Economic Review, Japanese Economic Association, vol. 67(3), pages 257-279, September.
    6. Alexandros E. Milionis & Evangelia Papanagiotou, 2008. "A Note on the Use of Moving Average Trading Rules to Test For Weak from Efficiency in Capital Markets," Working Papers 91, Bank of Greece.
    7. Terence Tai-Leung Chong & Wing-Kam Ng & Venus Khim-Sen Liew, 2014. "Revisiting the Performance of MACD and RSI Oscillators," JRFM, MDPI, vol. 7(1), pages 1-12, February.
    8. Schulmeister, Stephan, 2009. "Profitability of technical stock trading: Has it moved from daily to intraday data?," Review of Financial Economics, Elsevier, vol. 18(4), pages 190-201, October.
    9. Yan, Isabel K. & Chong, Terence & Lam, Tau-Hing, 2011. "Is the Chinese Stock Market Really Efficient," MPRA Paper 35219, University Library of Munich, Germany.
    10. Salma Khand & Vivake Anand & Mohammad Nadeem Qureshi, 2020. "The Predictability and Profitability of Simple Moving Averages and Trading Range Breakout Rules in the Pakistan Stock Market," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 23(01), pages 1-38, March.
    11. Daskalakis, George, 2013. "On the efficiency of the European carbon market: New evidence from Phase II," Energy Policy, Elsevier, vol. 54(C), pages 369-375.
    12. Gerritsen, Dirk F. & Bouri, Elie & Ramezanifar, Ehsan & Roubaud, David, 2020. "The profitability of technical trading rules in the Bitcoin market," Finance Research Letters, Elsevier, vol. 34(C).
    13. Shynkevich, Andrei, 2012. "Performance of technical analysis in growth and small cap segments of the US equity market," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 193-208.
    14. Alexandros E. Milionis & Evangelia Papanagiotou, 2008. "On the Use of the Moving Average Trading Rule to Test for Weak Form Efficiency in Capital Markets," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 37(2), pages 181-201, July.
    15. Chang, Eui Jung & Lima, Eduardo Jose Araujo & Tabak, Benjamin Miranda, 2004. "Testing for predictability in emerging equity markets," Emerging Markets Review, Elsevier, vol. 5(3), pages 295-316, September.
    16. William Wai Him Tsang & Terence Tai Leung Chong, 2009. "Profitability of the On-Balance Volume Indicator," Economics Bulletin, AccessEcon, vol. 29(3), pages 2424-2431.
    17. Martín García, Rodrigo & Ventura Pérez, Enrique & Arguedas Sanz, Raquel, 2020. "Temporal optimisation of signals emitted automatically by securities exchange indicators," Cuadernos de Gestión, Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE).
    18. Spyros Skouras, 1998. "Financial Returns and Efficiency as seen by an Artificial Technical Analyst," Finance 9808001, University Library of Munich, Germany, revised 24 Aug 1998.
    19. Wang, Zi-Mei & Chiao, Chaoshin & Chang, Ya-Ting, 2012. "Technical analyses and order submission behaviors: Evidence from an emerging market," International Review of Economics & Finance, Elsevier, vol. 24(C), pages 109-128.
    20. Hui Qu & Xindan Li, 2014. "Building Technical Trading System with Genetic Programming: A New Method to Test the Efficiency of Chinese Stock Markets," Computational Economics, Springer;Society for Computational Economics, vol. 43(3), pages 301-311, March.
    21. Ume Habibah & Niaz Hussain Ghumro & Manzoor Ali Mirani, 2017. "Testing the Random Walk Hypothesis: A Case of Pakistan," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(7), pages 551-564, July.
    22. Urquhart, Andrew & Gebka, Bartosz & Hudson, Robert, 2015. "How exactly do markets adapt? Evidence from the moving average rule in three developed markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 38(C), pages 127-147.
    23. Metghalchi, Massoud & Chen, Chien-Ping & Hayes, Linda A., 2015. "History of share prices and market efficiency of the Madrid general stock index," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 178-184.
    24. Batten, Jonathan A. & Ellis, Craig A. & Fethertson, Thomas A., 2008. "Sample period selection and long-term dependence: New evidence from the Dow Jones index," Chaos, Solitons & Fractals, Elsevier, vol. 36(5), pages 1126-1140.
    25. Cheol‐Ho Park & Scott H. Irwin, 2007. "What Do We Know About The Profitability Of Technical Analysis?," Journal of Economic Surveys, Wiley Blackwell, vol. 21(4), pages 786-826, September.
    26. Abdul Haque & Hung-Chun Liu & Fakhar-Un-Nisa, 2011. "Testing the Weak Form Efficiency of Pakistani Stock Market (2000 2010)," International Journal of Economics and Financial Issues, Econjournals, vol. 1(4), pages 153-162.
    27. Hudson, Robert S. & Gregoriou, Andros, 2015. "Calculating and comparing security returns is harder than you think: A comparison between logarithmic and simple returns," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 151-162.
    28. Batten, Jonathan A. & Lucey, Brian M. & McGroarty, Frank & Peat, Maurice & Urquhart, Andrew, 2018. "Does intraday technical trading have predictive power in precious metal markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 102-113.
    29. Panha Heng & Scott J. Niblock, 2014. "Trading with Tigers: A Technical Analysis of Southeast Asian Stock Index Futures," International Economic Journal, Taylor & Francis Journals, vol. 28(4), pages 679-692, December.
    30. Alexandros E. Milionis & Evangelia Papanagiotou, 2013. "Decomposing the predictive performance of the moving average trading rule of technical analysis: the contribution of linear and non-linear dependencies in stock returns," Journal of Applied Statistics, Taylor & Francis Journals, vol. 40(11), pages 2480-2494, November.
    31. Tania Morris & Jules Comeau, 2020. "Portfolio creation using artificial neural networks and classification probabilities: a Canadian study," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 34(2), pages 133-163, June.
    32. Chen, Cheng-Wei & Huang, Chin-Sheng & Lai, Hung-Wei, 2009. "The impact of data snooping on the testing of technical analysis: An empirical study of Asian stock markets," Journal of Asian Economics, Elsevier, vol. 20(5), pages 580-591, September.
    33. Rompotis, Gerasimos G., 2011. "Testing weak-form efficiency of exchange traded funds market," MPRA Paper 36020, University Library of Munich, Germany.
    34. R. Rosillo & D. de la Fuente & J. A. L. Brugos, 2013. "Technical analysis and the Spanish stock exchange: testing the RSI, MACD, momentum and stochastic rules using Spanish market companies," Applied Economics, Taylor & Francis Journals, vol. 45(12), pages 1541-1550, April.
    35. Metghalchi, Massoud & Chang, Yung-Ho & Marcucci, Juri, 2008. "Is the Swedish stock market efficient? Evidence from some simple trading rules," International Review of Financial Analysis, Elsevier, vol. 17(3), pages 475-490, June.
    36. Hong Zhu & Zhi-Qiang Jiang & Sai-Ping Li & Wei-Xing Zhou, 2015. "Profitability of simple technical trading rules of Chinese stock exchange indexes," Papers 1504.04254, arXiv.org.
    37. Ülkü, Numan & Prodan, Eugeniu, 2013. "Drivers of technical trend-following rules' profitability in world stock markets," International Review of Financial Analysis, Elsevier, vol. 30(C), pages 214-229.
    38. Ming-Ming, Lai & Siok-Hwa, Lau, 2006. "The profitability of the simple moving averages and trading range breakout in the Asian stock markets," Journal of Asian Economics, Elsevier, vol. 17(1), pages 144-170, February.
    39. Gunasekarage, Abeyratna & Power, David M., 2001. "The profitability of moving average trading rules in South Asian stock markets," Emerging Markets Review, Elsevier, vol. 2(1), pages 17-33, March.
    40. Wang, Shan & Jiang, Zhi-Qiang & Li, Sai-Ping & Zhou, Wei-Xing, 2015. "Testing the performance of technical trading rules in the Chinese markets based on superior predictive test," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 114-123.
    41. Bokhari, Jawaad & Cai, Charlie & Hudson, Robert & Keasey, Kevin, 2005. "The predictive ability and profitability of technical trading rules: does company size matter?," Economics Letters, Elsevier, vol. 86(1), pages 21-27, January.
    42. Vlad Pavlov & Stan Hurn, 2009. "Testing the Profitability of Technical Analysis as a Portfolio Selection Strategy," NCER Working Paper Series 52, National Centre for Econometric Research.
    43. Hudson, Robert & McGroarty, Frank & Urquhart, Andrew, 2017. "Sampling frequency and the performance of different types of technical trading rules," Finance Research Letters, Elsevier, vol. 22(C), pages 136-139.
    44. Stefán B. Gunnlaugsson, 2018. "Trading Rules On A Small Stock Market," Oradea Journal of Business and Economics, University of Oradea, Faculty of Economics, vol. 3(1), pages 46-55, March.
    45. Noureddine Kouaissah & Amin Hocine, 2021. "Forecasting systemic risk in portfolio selection: The role of technical trading rules," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(4), pages 708-729, July.
    46. Valeriy Zakamulin, 2014. "The real-life performance of market timing with moving average and time-series momentum rules," Journal of Asset Management, Palgrave Macmillan, vol. 15(4), pages 261-278, August.
    47. Ratner, Mitchell & Leal, Ricardo P. C., 1999. "Tests of technical trading strategies in the emerging equity markets of Latin America and Asia," Journal of Banking & Finance, Elsevier, vol. 23(12), pages 1887-1905, December.
    48. Masud Pervez & Md. Harun Ur Rashid & Md. Asad Iqbal Chowdhury & Mahbubur Rahaman, 2018. "Predicting the Stock Market Efficiency in Weak Form: A Study on Dhaka Stock Exchange," International Journal of Economics and Financial Issues, Econjournals, vol. 8(5), pages 88-95.
    49. Chen Su & Hanxiong Zhang & Kenbata Bangassa & Nathan Lael Joseph, 2019. "On the investment value of sell-side analyst recommendation revisions in the UK," Review of Quantitative Finance and Accounting, Springer, vol. 53(1), pages 257-293, July.
    50. Terence Tai-Leung Chong & Sheung Tat Chan, 2008. "Structural Change in the Efficiency of the Japanese Stock Market after the Millennium," Economics Bulletin, AccessEcon, vol. 7(7), pages 1-7.
    51. Shan Wang & Zhi-Qiang Jiang & Sai-Ping Li & Wei-Xing Zhou, 2015. "Testing the performance of technical trading rules in the Chinese market," Papers 1504.06397, arXiv.org.
    52. Harvey, David I & Leybourne, Stephen J & Sollis, Robert & Taylor, AM Robert, 2020. "Real-Time Detection of Regimes of Predictability in the U.S. Equity Premium," Essex Finance Centre Working Papers 27775, University of Essex, Essex Business School.
    53. Mensah, Justice T. & Pomaa-Berko, Maame & Adom, Philip Kofi, 2012. "Does Automation Improve Stock Market Efficiency? Evidence from Ghana," MPRA Paper 43642, University Library of Munich, Germany.
    54. Marshall, Ben R. & Cahan, Rochester H., 2005. "Is technical analysis profitable on a stock market which has characteristics that suggest it may be inefficient?," Research in International Business and Finance, Elsevier, vol. 19(3), pages 384-398, September.
    55. Isakov, Dusan & Marti, Didier, 2011. "Technical Analysis with a Long-Term Perspective: Trading Strategies and Market Timing Ability," FSES Working Papers 421, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
    56. Chen Su & Hanxiong Zhang & Nathan Lael Joseph, 2022. "The performance of UK stock recommendation revisions: Does brokerage house reputation matter?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(3), pages 3051-3070, July.
    57. Batten, Jonathan A. & Ellis, Craig & Fetherston, Thomas A., 2005. "Return anomalies on the Nikkei: Are they statistical illusions?," Chaos, Solitons & Fractals, Elsevier, vol. 23(4), pages 1125-1136.
    58. Nam, Kiseok & Washer, Kenneth M. & Chu, Quentin C., 2005. "Asymmetric return dynamics and technical trading strategies," Journal of Banking & Finance, Elsevier, vol. 29(2), pages 391-418, February.
    59. Terence Tai-Leung Chong & Chen Li & Ho Tin Yu, 2008. "Structural Change in the Stock Market Efficiency after the Millennium: The MACD Approach," Economics Bulletin, AccessEcon, vol. 7(12), pages 1-6.
    60. Gebka, Bartosz & Hudson, Robert S. & Atanasova, Christina V., 2015. "The benefits of combining seasonal anomalies and technical trading rules," Finance Research Letters, Elsevier, vol. 14(C), pages 36-44.
    61. Akber, Ushna & Muhammad, Nabeel, 2013. "Is Pakistan Stock Market moving towards Weak-form efficiency? Evidence from the Karachi Stock Exchange and the Random Walk Nature of free-float of shares of KSE 30 Index," MPRA Paper 49128, University Library of Munich, Germany.
    62. Nunez-Letamendia, Laura, 2007. "Fitting the control parameters of a genetic algorithm: An application to technical trading systems design," European Journal of Operational Research, Elsevier, vol. 179(3), pages 847-868, June.
    63. Cui, Ling-xiao & Long, Wen, 2016. "Trading strategy based on dynamic mode decomposition: Tested in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 498-508.
    64. Grobys, Klaus & Ahmed, Shaker & Sapkota, Niranjan, 2020. "Technical trading rules in the cryptocurrency market," Finance Research Letters, Elsevier, vol. 32(C).
    65. Janet Jyothi Dsouza & T. Mallikarjunappa, 2015. "Does the Indian Stock Market Exhibit Random Walk?," Paradigm, , vol. 19(1), pages 1-20, June.
    66. Strobel, Marcus & Auer, Benjamin R., 2018. "Does the predictive power of variable moving average rules vanish over time and can we explain such tendencies?," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 168-184.

Chapters

  1. John K. Ashton & Robert S. Hudson, 2013. "The Mis-selling of Payments Protection Insurance in Mortgage and Unsecured Lending Markets," Palgrave Macmillan Studies in Banking and Financial Institutions, in: José Manuel Pastor Monsálvez & Juan Fernández Guevara Radoselovics (ed.), Modern Bank Behaviour, chapter 1, pages 8-33, Palgrave Macmillan.

    Cited by:

    1. Reurink, Arjan, 2016. "Financial fraud: A literature review," MPIfG Discussion Paper 16/5, Max Planck Institute for the Study of Societies.

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